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Review

Drivers, Impacts and Mitigation of Increased Sedimentation in the Hydropower Reservoirs of East Africa

1
School of Material, Energy, Water and Environmental Science, The Nelson Mandela African Institution of Science and Technology, Arusha P.O. BOX 477, Tanzania
2
School of Geography, Earth and Environmental Sciences, University of Plymouth, Drake Circus Plymouth, Devon PL4 8AA, UK
*
Author to whom correspondence should be addressed.
Land 2021, 10(6), 638; https://doi.org/10.3390/land10060638
Submission received: 28 April 2021 / Revised: 11 June 2021 / Accepted: 12 June 2021 / Published: 16 June 2021
(This article belongs to the Section Soil-Sediment-Water Systems)

Abstract

:
Hydropower reservoirs are essential for the climate-neutral development of East Africa. Hydropower production, however, is threatened by human activities that lead to a decrease in water storage capacity of reservoirs. Land use/land cover and climatic changes are driving accelerated soil erosion in semi-arid East Africa, which ultimately increases reservoir sedimentation and decreases energy production. Sediment delivery dynamics at the catchment scale are complex, involving the interaction of multiple factors and processes on different spatial and temporal scales. A lack of understanding of these processes and their interactions may impede the efficiency of sediment mitigation and control strategies. A deep understanding of the processes of erosion and connectivity of the land to river channel, as well as storage of eroded material within hillslopes and floodplains, and sediment accumulation in the reservoirs supports selection of future dam locations and sustainable management of reservoirs. The sediment budget approach can provide such a holistic perspective by accounting for the various sediment sources, transport, sinks, and redistribution when the sediment is routed through that catchment. Constructing sediment budgets is challenging, but the potential for integrating a number of different techniques offers new opportunities to collect the required information. In East Africa, the spatial planning of dams is mainly dominated by political and financial motives, and impacts of land use and climate on the sediment transport dynamics are not adequately considered. Production of sediment budgets under different scenarios of land use and climate change should be an essential step when deciding the location and management strategies for dams. Selection of new hydroelectric reservoir sites must consider long-term scientific data on climate change, and the sediment budget components for sustainable land management planning, hydropower sustainability.

1. Introduction

Hydropower reservoirs are essential for producing climate-neutral energy [1] and ensuring long-term energy stability for economic growth in developing countries [2]. In addition, they provide other essential economic and ecological resources, such as irrigation and drinking water sources for agriculture and livestock, recreational spaces, and fishing habitats [1,2,3,4,5]. The hydropower industry and its share of power production in East Africa are expanding linearly, while the East African population and its energy demands are growing exponentially [6]. Despite the key socioeconomic services they offer, hydropower reservoirs are currently threatened by changing water supply and sediment transport dynamics in wider catchments [6,7]. Unsustainable land use and climate changes increase soil erosion and sediment delivery rates, resulting in accelerating reservoir sedimentation [8]. Consequently, water storage capacity is decreasing, and energy production capacity is declining [8]. Moreover, increased sedimentation can cause flooding that may disrupt the local infrastructure. Among their longer-term negative impacts, mega-projects, such as hydropower constructions, could also often causes loss of life and property, and involuntary resettlement which could further lead to poverty [9,10]. By confining sediments to reservoirs, dams also hinder sediment transfer to the downstream river system, which subsequently lacks the sediment input required for maintaining channel shape and preserving the aquatic habitats [7]. In addition, sedimentation in reservoirs can add compressional forces to the dam structure, thereby exceeding the normal hydrostatic design, while clogging of water intake also hinders the production of energy [11].
Dynamics of sediment availability in a catchment are complex in time and space, and depend mainly on the climate, geology, topography, soil types, land cover, and land use [12]. The rapid expansion of agricultural land area with respect to population increase in Eastern Africa has led to an increase in the rates of soil erosion from large areas [13,14]. In upstream catchments, fluvial processes are susceptible to land use and land cover changes on the basin scale, resulting in robust landscape reactions by modifying processes of soil erosion, sediment transport, and deposition [15]. Conversely, natural climate variability and climatic changes in East Africa affect the hydrological cycle and, in turn, production capacity [16]. In addition, increased runoff and gully incision also lead to an increase in sediment connectivity and sediment supply, leading to rapid transport of eroded sediment to downstream sinks [17]. Increased erosion following land use or climate change and rapid downstream transport of eroded sediment is thus the biggest threat for the sustainability of reservoirs [8,18]. All these factors ultimately influence downstream siltation and sedimentation problems in dams/reservoirs [8,19].
While unsustainable land use, climate change, and natural climate variability influence sediment transport [19], the processes by which they change catchment hydrology are nonlinear in semi-arid East Africa, where the spatial and temporal dynamics of sediment connectivity are not well understood [20]. Such dynamics are often neglected in reservoir planning [21]. Sediment budgets as a functional reservoir management tool have rarely been established at the catchment scale in East Africa [22]. In this context, some pressing questions remain regarding hydropower management now and in the future. Are dam and reservoir systems managed in the same way the planners and designers intended [23] concerning managing sediment accumulation? Are there any consequences of the construction and operation of the dam that were not foreseen by the designers [23]? What are the processes and features controlling sediment connectivity and sediment supply to reservoir sink zones? What are the best techniques to assess reservoir sedimentation rates? What approaches can reduce the quantity of sediment incoming to the reservoirs from upstream? What degree of the induced climate change variations in rainfall and temperature affect sediment delivery dynamics, and can these be mitigated? These unknowns need to be answered and integrated into decision making for endorsements at early planning stages of future hydropower dams.
Informed policy decisions and innovative mitigation solutions are required to move hydropower towards sustainable practices and meet the rising energy demands while ensuring water availability in East Africa. This review presents an overview of reservoir siltation issues in East Africa, followed by a detailed description of the driving processes behind observed increases in sediment delivery. Subsequently, different methods to evaluate and quantify source siltation of hydropower reservoirs are discussed, with emphasis on their strengths and weaknesses. Finally, we give an overview of the mitigation options for reservoir sedimentation, emphasizing different techniques for (1) reducing the influx of sediments, (2) managing and evacuating sediments from reservoirs, and (3) replacing lost storage of the reservoirs. On this basis, this paper aims to provide a blueprint for sustainable catchment and reservoir management in East Africa.

2. Review Approach on Hydropower Development in East Africa

This review offers an insight of the scale of reservoir siltation issues in East Africa, with a subsequent detailed description of the driving processes behind observed increases in sediment delivery to hydropower reservoirs. Lack of information on potential sediment sources, soil erosion processes, and sediment yields from catchment areas are key restrictions for sustainable land use and reservoir management. The sediment budget concept integrates sediment transfer processes across all possible sources to all or any potential sinks in a system across the soil–sediment continuum of detachment, transport, and deposition. The production of sediment budgets for catchment areas should be an essential step during the spatial planning and formulation of management strategies for hydropower reservoirs. These sediment budgets can be established through a combination of different techniques for assessing the mobilization, redistribution, transport, and storage of sediments within a catchment area, including field assessment measurements, remote sensing GIS models, sediment core dating techniques, and sediment tracing. The sustainability of hydropower reservoirs can only be preserved through continued scientific monitoring on the dynamics of soil erosion and sediment transport in the wider catchment of the reservoirs. The summary of the major issues that make an annotated bibliography are discussed in the context of the framework depicted in Figure 1.

3. The Eastern African Social, Economic, and Environmental Context

3.1. The East African Environment

The East African region discussed in this study comprises eight countries, namely Sudan, South Sudan, Ethiopia, Kenya, Uganda, Rwanda, Burundi, and Tanzania, extending between 21° and 48° E and 11° S and 23° N, and covers an area of 5.6 × 106 km2 (Figure 2).
It is noted, however, that river basins are not limited to political boundaries. The region’s climate is generally tropical with altitude effects on temperature and rainfall. The region’s average rainfall is 610 mm, but spatially variable with <300 mm in the lowlands and >1200 mm in the highlands [24]. Although there are no significant temporal trends in annual precipitation between 1960 and 2006 across the region, strong local trends of increasing or decreasing precipitation have been observed. High rainfall erosivity (R-factor) is primarily found in the highlands of East Africa [25]. However, intense rainstorms during the wet season in semi-arid areas can also result in temporally high rainfall erosivity [26,27]. The total population of East African countries is estimated to be 365 million [28] and is anticipated to exceed 700 million in 2050 [28]. The major land cover types include the cropland covering about 15% of the region, forest 23%, bareland 26%, and rangelands 34% [29]. Major soil classifications in the region were derived from the Harmonized World Soil Database (HWSD) [30]. Nitisols are typical for the highlands of Ethiopia, Kenya, Tanzania, and Uganda. They are predominantly deep and well-drained, with stable structure, and a high clay and nutrient content. The Acrisols are common in the wetter areas of Burundi, Rwanda, and Uganda. They are rich in clay and highly susceptible to erosion. Younger Cambisols are more common in Tanzania and Kenya, and are less susceptible to erosion; however, they are suitable for a wide variety of crops. The Andosols are also younger soils developed on recent volcanic deposits and are typical for the East African Rift System. They are usually very fertile and support some of East Africa’s most productive cropping areas. Arenosols are dominant in the drier regions of Sudan and are characterized by high sand content and lack of soil profile. They are weakly structured, have a low water retention capacity, and higher infiltration capacity. Vertisols, or ‘black cotton soils’, are typical of East Africa’s semi-arid grasslands and have a high clay content and low drainage capacity. Due to their cracking nature under seasonal changes in soil moisture, they still have relatively high erodibility [31]. Ferralsols are intensely weathered red soils, which are primarily found in wet tropical areas of Kenya, Tanzania, Uganda, Burundi, and Rwanda. They are less susceptible to erosion but have lower nutrient content [32]. The soil erodibility factor of these type of soils in the region ranges from 0.012 to 0.03 t ha h ha−1MJ−1mm−1, with high erodibility factors in Kenya, Ethiopia, Sudan, and Uganda ranging from 0.024 to 0.03 t ha h ha−1MJ−1mm−1, while Burundi, Rwanda, and Tanzania range from 0.012 to 0.023 t ha h ha−1MJ−1mm−1, except in the northern and southern highlands of Tanzania that were above 0.23 t ha h ha−1MJ−1mm−1 [25].
The landscape of Eastern Africa is diverse, ranging from the Danakil depression in Ethiopia to the highlands of Ethiopia, and the peaks of Mount Kilimanjaro (5895 m) and Mount Kenya (5199 m).

3.2. East Africa’s Increasing Demand for Hydropower

East Africa is undergoing rapid economic growth, with GDP growth rates ranging from 5.7 to 6.1, averaging 5.9% per year between 2016 and 2019 [33]. Since 2000, the energy consumption in the region has risen by an estimated 45% [34,35]. However, the development of regional energy systems has not met increasing demands [35]. The ineffective and unreliable nature of electricity production in East Africa could limit future economic growth [36,37,38]. Over 82 million people in East Africa still have no access to electricity [35]. The distribution is spatially uneven between and within the countries, and the areas that do have access are dependent on a high-cost, unreliable supply [34,35]. The combination of the rapidly growing population [39,40] and projected climate changes [40] create an urgent need for resilient hydropower management strategies [40]. A commitment to the development and sustainable management of hydropower electricity generation plants in East Africa is thus central to achieving sustainable growth [35,41].
Increasing hydropower capacity offers the potential to improve the energy security in East Africa, which is critical for the region’s socioeconomic growth [42]. The Renewable Energy Policy Network for the 21st Century (REN21) estimated that the region has approximately 13.4 GW of hydropower potential [43]. However, at the moment, hardly 16% of that potential is being exploited. Currently, hydropower is by far the major source of grid electricity in the region, with more than 6000 MW, followed by geothermal (598 MW), biomass cogeneration (110.5 MW), wind (25.5 MW), and solar (9.2 MW) [44]. In Tanzania, natural gas is also a major source of electricity production, contributing around 892.72 MW. However, many environmental and organizational challenges impede the region’s development of its hydropower potential. These include a shortage of technical know-how in planning [45], dynamic and unpredictable climatic and environmental conditions, increasing land use pressures, and a lack of legal and institutional frameworks for sediment management [19]. A better institutional framework is required to effectively integrate climate information into sustainable reservoir management. While the East African countries have drafted renewable energy policies, the approval rate of hydropower technology is unsound because of the lack of financial funds of East African governments, and the absence of know-how and co-operation between different stakeholder groups [46]. Therefore, present renewable energy policies should be co-ordinated, and the current practice appraised to increase the implementation of these technologies [46]. In this framework, hydropower can also be regionalized to improve grid stability and to sustain the exploitation of other sporadic renewable energy sources, such as wind and solar power [41].
In view of this discussion, the mandatory use of climate change information to decide the location of dams is imperative for projecting service life and risk mitigation strategies. Selection of new hydroelectric reservoir sites must consider long-term scientific data on climate change, the dynamics of erosion and sediment transport in the basin, sustainable land management planning, and the benefits of hydropower sustainability, and should not be dominated by political and fiscal considerations, petitioning, and negotiation.

3.3. Changing Sediment Flux Dynamics in East African Rivers

Sustainable land management and water resource development in many developing countries [47] are susceptible to accelerated erosion and downstream sediment transport [48,49]. Siltation of reservoirs is of utmost concern in regions of semi-arid catchments where water is insufficient, and land degradation commonly leads to increased masses of sediments entering rivers and reservoirs [50]. The storage capacity of reservoirs in East Africa is being reduced by accelerated sedimentation, which jeopardizes food, water, and energy security [51,52,53,54]. For example, Vanmaercke, Poesen, Broeckx, and Nyssen [40] showed that the sediment yields in East Africa typically range between 100 and 1000 t/km2/year. Studies on hydropower reservoirs by [55,56,57,58] and [59,60] also indicated similar sediment yields within the hydropower catchments of East Africa (Table 1).
The service lifetime of a number of these reservoirs is thus reduced due to the unexpectedly high siltation rates [63]. However, sparce information on reservoir sedimentation impedes the spatial analysis of the problem in the region [59] (Table 2).
Across Africa, many reservoirs have experienced similar increases in their sedimentation rates through changes in delivery from contributing sources [14,64,65,66]. Sumi et al. [67] noted that, by 2100, about half of the global gross reservoir capacity of 6000 km3 will be lost, ignoring new storage built after that year [7]. Similarly, Annandale et al. [68] revealed that the net world capacity of reservoirs has decreased from its height of 4200 km3 in 1995, as sedimentation rates outweigh new storage construction rates. Furthermore, Basson [60] and Dreyer [69] predicted that an average of 80% of reservoir capacity in several continents of the world will be filled with sediments in the following years: Africa by 2100, Asia by 2035, Europe and Russia by 2080, and Central East and North America by 2060.
Increasing land use pressure is the major cause of increased erosion and accelerating sedimentation rates in East Africa. [54,70]. The loss of permanent vegetation through the fast expansion of agricultural land [71,72,73,74] has accelerated erosion and downstream sediment transport [14,75]. Wood and charcoal also remain the most utilized energy source within the region, which is driving the loss of forests and woodlands [74]. Moreover, the increase in the number of livestock and densities on rangelands has led to overgrazing and soil trampling [74,76,77]. The extent of the response of a catchment to loss of vegetation depends on the topography, soil, and natural climatic dynamics [78]. East Africa is characterized by a steppe climate with a dry season and one, or diurnal, rainy season [54]. These high-intensity runoff events are related to landsliding [79], mudflows [80], and gully erosion [81], and potentially cause catastrophic flooding downstream [82]. During such rainfall events, the erosional energy is more significant. It, therefore, can lead to extreme levels of sediment transport, which increases the danger of reservoir infilling, as well as serious wider ecological consequences downstream [83].
While natural climatic variations and global climate change may affect erosion and downstream sediment transport [84], unsustainable land use change is plausible to magnify the impacts of hydroclimatic drivers of erosion by water, with unknown outcomes for community resilience and development [70]. The climate-driven vegetation change that impacts the abrupt change of ecological systems and ecosystems has shown to steer to more extreme responses to natural climate fluctuations [85]. Furthermore, global climate change alters the dynamics of river flow and discharge. The effects of global climate change on hydropower are uncertain due to regional differences, depending on changes within the flow regimes, and the variation of the rainfall and temperature [37]. The construction of reservoirs also significantly impacts sediment connectivity by halting the downstream sediment flux [86,87,88]. There is increasing evidence of ‘hungry water’ effects due to sediment starvation downstream of dams, resulting in increased channel erosion and other ecosystem impacts [89,90,91,92,93]. Coastal areas and river deltas that depend on the supply of riverine sediment are mostly susceptible to the effects of the supply of reduced sediment [7,86]. This can lead to the disappearance of beaches, increased coastal erosion [7,94,95], and the subsidence of deltas [96]. Significant proportions of the sediment transported by many rivers originated from eroded agricultural soil; consequently, the extent of this change quantifies the degraded land and the corresponding soil resource reduction [97]. Whilst catchment erosion is known to be responsible for the accelerated sedimentation in the dams’ reservoirs [98], little is understood on the spatial and temporal dynamics of erosion–sedimentation processes and sediment connectivity on a catchment scale.

4. Tools for Assessing Soil Erosion, Sediment Yield, and Sedimentation Rates to Support Sediment Management

4.1. Experimental Plots and Field Survey

Studies of soil erosion are conducted on various spatial scales, ranging from plots to continental catchments [99]. On the most miniature scale, experimental plots [100,101,102] and field measurements [102,103,104,105,106] can be directly used to quantify the rates of erosion. However, these small plots [107] are not necessarily representative of the whole catchment system [108,109,110,111]. Plot studies cannot easily be extrapolated to entire catchment systems, and implicate substantial uncertainties when extrapolated to other catchments in different regions [40,112,113,114,115,116,117]. Moreover, plot studies can restrict information on certain types of erosion process, like the periodicity and severity of rill erosion and the components governing the between-field and within-field variations [105,109,118]. Hence, erosion rates determined on test plots may not comprehensively reflect the entire erosion in a catchment [119]. Furthermore, field studies require measurements over multiple years to capture the variance resulting from natural environmental fluctuations [120].

4.2. Remote Sensing GIS Models

In recent decades, modelling has become an increasingly important method for estimating the dynamics and quantities of eroded sediment [121]. Models such as the ‘Revised Universal Soil Loss Equation’ (RUSLE), [122] the ‘European Soil Erosion Model’ (EUROSEM) [123], and the ‘Water Erosion Prediction Project’ (WEPP), [124] have been developed to estimate erosion at different spatial and temporal scales [125]. These models differ in terms of origin (e.g., empirical versus process), processes considered, complexity, data requirements, and implementation potential [120]. While the process-based models require larger quantities of input data and calibration routines [25], empirical models require less input data while maintaining the most factors, like the physical characteristics (e.g., topography, geology, land use, climate) that effect the erosion process [25,122], as long as the conditions for model development are relevant to the world of application. The process-based models are also limited in the accuracy of the soil loss rate estimation [25,48], but arguably capture process interaction and feedback more realistically. In East Africa, the combination of environmental heterogeneity and poor data availability [25] constrains the use of complex, data-hungry, process-based erosion models in larger spatial domains [25]. East African erosion modelling applications often must use the models in data-poor catchments [126,127,128]. In this context, current empirical methods, such as RUSLE, are extensively applied in the East African region, principally due to their average demand for data and ability to incorporate with GIS databases, which aids the upscaling process [25,129,130,131]. With the advantage of GIS, the RUSLE model can foresee the likely erosion on a cell-by-cell basis [132], which is useful when striving to spot the spatial pattern of the soil loss present within an outsized area [133]. The soil loss computed by RUSLE model for every pixel [122] predicts the erosion related to runoff like the landscape heterogeneity factors (soil type, slope, topography, vegetation, geology, land use, climate) that impact the soil erosion process [25,122]. However, the model represents only one aspect of the entire erosion spectrum because it was established solely to predict sheet and rill erosion [25] and did not account for other erosion processes. Therefore, in areas where gully erosion and streamline incision processes are dominant [70,122], this model does not achieve the goal. Additionally, the RUSLE model does not predict on-site changes in susceptibility to erosion in response to process change, and is less effective for studying source-to-sink dynamics in large and complex catchments [74]. Furthermore, the model does not consider certain important factors for erosion dynamics, such as sediment supply and overland flow initiation dynamics [74].
Applications of the RUSLE model, therefore, benefit from combination with other sediment evaluation tools, like sediment tracing source techniques, which will provide complementary evidence to explore the knowledge of source-to-sink dynamics within the catchment. This complementarity also provides a reciprocal validation of the proportional contribution from areas of high erosion risk [74,134]. Coupling RUSLE models with other models for plotting susceptibility to other erosion processes (e.g., mass movements and gully, riverine, and wind erosion) would provide an improved representation of the entire erosion susceptibility [74,135]. Not all approaches to monitor, assess, and estimate erosion are suitable at all scales [102]. For example, no model matches all hydrologic conditions [136,137] because each model has specific assumptions and limitations. Therefore, different methods to monitor, assess, and estimate sedimentation will be appropriate at different spatial and temporal scales.
There are no particular models specifically designed for East African conditions, so critical values of model parameters for current models are likely to be beyond the constraints under which these models have been created [138]. Most models assume a steady state, whereby modifications in catchment environments are directly propagated to the sediment flux at the catchment outlet [139], but ignore temporal changes in sediment connectivity. The concept of connection–disconnection between the slopes and the channel network (hillslope–sediment delivery ratio) is thus vital, since the quantity of the sediment getting into the river network predominantly depends on the catchment connectivity [140,141].

4.3. Sediment Source Apportionment

Pinpointing and mitigating hotspot soil erosion areas contributing to high sediment yields is a key factor for building sustainable soil-water conservation measures in reservoir catchments [142,143]. Thus, sediment control strategies require confirmation on the relative and absolute contributions of sediment from different sources [144]. As highlighted in previous sections, traditional techniques are commonly constrained by spatial and temporal scale challenges and data availability [144,145,146]. Therefore, sediment source fingerprinting techniques have emerged to couple upstream erosion with downstream sedimentation measurements [134,147,148]. These techniques can offer comprehensive information of source-to-sink dynamics within the catchment and ensure the proportional source contribution and pinpointing areas of high risk [134,149]. Sediment source fingerprinting techniques were established to underpin the similarities between the physical or chemical traits of downstream sediments with the catchment potential sediment sources [144,146,150]. These techniques can produce valued evidence on the relative significance of specific possible sources contributing to the downstream sediment flux of a river and reservoir [151]. Such information is vital for supporting evidence on the connections between upstream potential sediment sources and downstream sediment yield [152], essential for targeted sediment control measures. These techniques also provide essential information about the transfer of sediment through the landscape at various temporal and spatial scales [153].
Different properties of soil and sediment can be used as tracers to distinguish between specific land use types, erosion processes, and catchment zones. Fallout radionuclides (FRN) activities are usually greater in topsoil materials and less in subsoil materials [154,155], making them useful in distinguishing surface from subsurface materials, as well as cultivated and uncultivated agricultural surface soils [156]. Subsequently, sediment source apportionment using FRNs [156,157,158,159] tends to be at a more generic surface–subsurface level. In this context, the use of single component signature to distinguish between the potential sources of the sediment features a high uncertainty and sometimes leads to false associations between source and sediment [160]. Most fingerprinting studies use multivariate and composite fingerprints that encompass various distinctive diagnostic signatures affected by different environmental factors, thus improving the validity of discrimination of sediment sources [161]. The integration of many parameters forms a multivariate fingerprint [162] that permits for an increased number of sources to be modelled and is assumed to be more reflective of the associations between sediments and their sources [163]. This reduces the risk of unlikely matches that might be theorized to occur with individual tracer properties [163,164]. Subsequently, the quantitative examination is performed to ascertain the relative contribution of every possible source to the collected target sediment samples, and these often depend on unmixing models [144]. These models use multivariate fingerprints for source tracking and ascertain the relative significance of specific sediment source types in various circumstances [158,165,166,167]. Routinely, these models need tracer data that interpret both the sources and mixture; these qualities are anticipated to conservatively transfer from sources to mixtures through a mixing process [168].

4.4. Reconstructing Reservoir Sedimentation Rates

Reconstructing changes in reservoir sedimentation rates is crucial for evaluating the size of siltation problems and, therefore, the durability of hydropower reservoirs. Both nonradiometric and radiometric dating methods often estimate sedimentation rates. The nonradiometric methods (such as ecological or pollution markers) can provide distinct stratigraphic time markers, which can be used to estimate the average rate of sedimentation between the dated layers. Radiometric dating, however, can provide a continuous age determination for lake/reservoir sediments [169,170]. The FRNs, 210Pb and 137Cs, are employed to study erosional records of a catchment and, therefore, the effects of land use and climate by presenting data over the last 100–150 years for different time windows [170]. The fundamental ability of 210Pbex to provide evidence on the chronology of a sediment deposit and thus estimate the sedimentation rate depends on its source, its moderately long half-life, its global distribution, and its retrospective assessment that provides a longer-term (ca 100 year) chronology or age–depth relationship [171]. 137Cs is an anthropogenic radionuclide from weapon testing fallout that peaked in the early 1960s. However, its fallout in tropical Africa was low, challenging its application [172]. 210Pb is a natural geogenic radionuclide; its deposition is continuous and constant from year to year [173]. Generally, the rate of decrease of 210Pbex (i.e., the fallout component) activity with depth in a sediment core offers the foundation for developing an age–depth correlation and estimating sediment accumulation rates (SAR) [170]. From its activity profile, it is feasible to determine the sedimentation rate and, in some conditions, to reconstruct environmental changes [173] through time using numerous models accounting for a number of different assumptions [173,174,175,176].
Most of the East Africa hydropower reservoirs are located on complex catchments which encounter catchment-wide environmental changes [66]. In this context, the constant rate of supply (CRS) model developed by Appleby et al. [174] is the most applicable to account for changes in the rates of sedimentation using the initial concentration of 210Pbex activity in the sediment [66]. The CRS model [174,177,178] depends on the assumption that the 210Pb flux to sediment is constant over time, while the sedimentation rate may vary [179,180]. In the model, the attention is focused to the downcore reduction in 210Pbex activity, which, in turn, reflects the sedimentation rate and natural radioactive decay, whereby high sedimentation rates will result in slower declines in the vertical 210Pbex activity profiles. On the other hand, lower sedimentation rates will result in steeper decreases of the vertical 210Pbex activity profiles [173,181].
Geochronological model assumptions might be challenged, however, when a substantial proportion of 210Pbex supply enters the water column derived from mobilized catchment material [66,182], where differences in the existing 210Pbex activities of the transported and deposited sediment might occur due to the natural differences in the geological prevalence of 238U and/or variation in dominant erosion processes [66]. Additionally, the changes in dominant abrasion processes within a channel network can alter the fraction of topsoil versus subsurface material within the transported sediment, thereby affecting the 210Pbex activity of input sediment to the sediment column [66,183,184]. This variability in the input of 210Pbex requires independent methods to scrutinize the CRS model [185]. Most often, the 137Cs (t1/2 = 30.17 years) peak fallout has been used [186]. In the southern hemisphere, however, the activity concentration of 137Cs in soil and sediment is low and, in some cases, the geochemical profiles of sediment cores have been shown to exhibit changes that might have been associated with hydrological or volcanic events [66,187,188] that preconcentrate detrital 137Cs input (e.g., through selective erosion of fine sediment from the catchment) instead of direct fallout intrinsically. Other limitations for the determination of SAR using 210Pb occur when the environmental settings pose special interpretive problems, like depositional regime dominated by episodic large-scale turbidity currents or debris flow. In this situation, it is difficult to estimate SAR quantitatively because the stratigraphic sequences are either reworked or mixed by gravity flows, or are interspersed with occasional event layers that compromise 210Pbex profiles [189], but, in many cases, an indication of broad rates of SAR change can still be determined, which is of value to managers.

4.5. The Sediment Budget as a Foundation for Sustainable Reservoir Sediment Management

Understanding the processes that result in erosion and its connectivity to the river channel, storage in hillslopes, floodplains, and sediment accumulation in the reservoirs is vital for the choice of dam location and for the sustainable management of the reservoirs [190]. Sediment connectivity processes through time integrate sediment transfer processes across and sinks along the soil–sediment continuum of detachment, transport, and deposition [191]. The process of sediment delivery in the catchment is complex; it involves the interaction of multiple factors and processes on different spatial and temporal scales [192,193]. These complex systems cannot be understood by examining outcomes alone (e.g., sediment yield or SDR) [138]. The complexity of processes, feedbacks, and consequences require a system-wide perspective [138]. The sediment budget approach provides such a holistic perspective by accounting for the various sediment sources, transport, sinks, and redistribution when the sediment is routed through that catchment [138]. Policy makers and catchment managers can use the sediment budget approach as a realistic mechanism for targeting mitigation measures/strategies [152,190].
Development of suitable sediment management strategies entails the quantification of sediment flux and links their transport dynamics to drivers, both within the channel and the broader catchment, to reliably forecast sediment discharge in rivers over relevant time scales of management [141,191,192,193,194]. Nonetheless, the spatial and temporal aspects of sediment transport factors and process interactions in rivers have not been fully captured and understood yet [141]. The potential of employing sediment budgets to improve understanding on the catchment fluxes has increased following the latest established advanced techniques and further evolved insights [195]. The quantification of catchment-wide sediment budgets involves a large number of components to be integrated at various spatial scales and for prolonged timescales.
Although the essential requirements of budgeting sediments are steadily developed and extensively used [195], there has been a limited application to support mitigation of hydropower sediment problems. Nonetheless, there is much potential here to be exploited. Field assessment measurements can provide an empirical quantification of sediment storage, erosion processes, and flux rate or water/particle residence time [102]. Modelling has the potential to provide the functional relationships between erosional processes and dominant factors influencing rates of erosion, and predict sediment yield within catchments both in spatial and temporal scales [40,195,196,197,198]. Sediment source tracing has the potential to establish hillslope–channel connectivity knowledge that provides new opportunities and skills for establishing sediment sources, obtaining spatially distributed and temporally integrated data on sediment mobilization, delivery, and storage [195]. Sediment core dating techniques provide an opportunity to reconstruct changes in sedimentation rates over time, which ultimately allows the association of sediment flux with forcing factors, including climate and human activity [198]. The age–depth model is often taken as a proxy for the assembly of a chronostratigraphy for sediment budgets and to estimate catchment erosion [199,200]. However, the notion of sediment budget involving the quantification of sediment storage components remains challenging and time-consuming [201]. Following this, most studies that have been undertaken to determine a catchment sediment budget have involved a combination of several different techniques/methodologies that mutually offer the required information on sediment mobilization, redistribution, transport, and storage within a catchment [121,202,203,204,205]. The potential for integrating contemporary developments in sediment tracing with more conventional monitoring techniques has created new opportunities to collect the required information for sediment budget production [152,161,202,206,207]. To this end, poor reservoir planning during the design phase remains the main reason for the rapid sedimentation and anticipated sediment yield. The absence of sediment yield data and absence of suitable methodologies to forecast sediment yield is an attribute of poor planning of the reservoir during the design phase. In this context, sediment budgeting remains an imperative method for comprehending and forecasting sediment delivery to the reservoir basin as one of the mitigation strategy goals. This method should not be replaced by faster sediment flux quantification approaches; instead, the synergistic application of both approaches improve tackling of hydropower sediment challenges.

5. Mitigating Reservoir Siltation in East Africa

There are different options to intercept and avoid the sedimentation of hydropower reservoirs [208] that range across precautionary, attendant, and corrective actions. In the first place, ‘precautionary’ actions can be taken to promote the reduction of sediment entry, including the reduction of upstream soil and channel erosion, and, in addition, sediment traps upstream of the reservoir [208]. Second, the ‘attendant’ action involves the passage of sediment around or through the reservoir, maintaining sediment transport and reducing sediment deposition through engineering approaches to modify the flow. The ‘corrective’ action involves dredging sediments or facilitating sediment washing by adopting specific dam operations [7,195] (Table 3). However, these actions require specific knowledge and a solid evidence base of process quantification that influence the entrapment of sediments and those affected by these specific actions to improve their development and evaluation. Therefore, the entrapment of sediments in reservoirs is not only a question of the reservoir’s capacity [208].

5.1. Reducing Sediment Entry

5.1.1. Catchment Soil and Water Management

Prevention of hydropower sediment problems begins with a sustainable land use management plan, since unsustainable land use change is not entirely irreversible. Studies have evidenced a dramatic decrease in river sediment flux after afforestation, revegetation, and sustainable grazing management programs [209,210], and, similarly, agricultural practices that emphasize soil conservation, such as tillage and crop management; terrace construction has been shown to decrease soil erosion and downstream sediment transport around the world [211]. In addition, stone bund terracing forms a barrier that slows down water runoff, allowing water retention and infiltration into the soil, improving rainwater harvesting and increasing the amount of water available to the soil plants [212]. Although soil and water conservation programs increase water retention and reduce soil erosion on site, their implementation also enhances soil productivity [213]. Experimental data from erosion plots and associated monitoring programs are used to demonstrate the effectiveness of on-site soil protection measures in reducing soil loss [213]. Still, there is much less evidence of the effectiveness of catchment-wide soil and water protection and sediment control programs in the reduction of the downstream sediment flows [208,214]. In the context of this study, the main objective is to reduce downstream sediment transport. A variety of soil protection measures, including tree planting and construction of terraces and gully check dams, are [213] used for the reduction of sediment downstream [215].

5.1.2. Sediment Trapping Upstream of the Dam

Check dams within the catchment tributaries and hillslopes reduce the sediment yield to downstream reaches in two ways [7]: firstly, by inducing the deposition of debris flows and reducing the erosion rate in the hillslope, and, secondly, by limiting the sediments before they reach the downstream reservoir [7]. First and foremost, the small control dams lower the channel gradient locally and, thus, influence the discharge of debris flows and the transport of river sediments, as the energy dissipated in the control dams, reducing the gradient in between [7]. The control dams also focus water flow through the channel centerline to mitigate the channel tendency to undercut the side slopes [7]. Second, the accumulated sediment volume trapped in small control dams is usually trivial, so larger control dams have also been built to store sediment before reaching a larger reservoir downstream [7]. The obvious problem with this method is that the dams fill up with sediment and, in river basins with high sediment yield, this can occur quickly and lead to some new complications with multiple reservoirs filled with sediment, the maintenance of which may be unstable and costly [7]. Maintenance of the main channel sediment traps through dredging is essential, but there is an opportunity to recycle nutrient-rich sediments as a growing medium or soil improver [216].

5.1.3. Structure Design for Sediment Removal to Reduce Sedimentation

When designing new dams and reservoirs, care is imperative to consider minimizing sediment build-up. Various approaches to managing sedimentation in reservoirs range from preventing sediment from entering the reservoir to sediment removal techniques [217]. However, climate change and land use factors are still seldom incorporated by water managers into the decision-making processes [218]. Numerous sediment removal techniques from the reservoirs have been adopted [63], taking into account the different climatic, hydrological, and geographical conditions [63].

5.1.4. Sediment Bypass/Pass Through

Sediment bypass systems act during major flood events to reroute incoming sediment-laden waters, preventing sediment from entering the reservoir [219]. It may be by seasonal drawdown, by drawdown adapted to floods, or by turbidity currents. Sediment bypass requires implementing the necessary bottom gates to be designed with great care [49,220]. A reservoir functioned through periodic drawdown is partly or entirely emptied during the flood season [221]. Seasonal drawdown is conducted during a predetermined period annually, as opposed to flood routing, which needs the reservoir level to be drawn down for individual flood events when they occur [221]. At some sites, routing can be implemented at a very low cost [7]. A major drawback of sediment routing is that a substantial amount of water must be released during floods to transport sediments [221]. Sediment management is best suited for hydrologically small reservoirs in which the water is massively drained [69], floods that transport sediments exceed the storage capacity, and leakages are available for the release of sediments without affecting the beneficial uses [7,221,222].

5.1.5. Sediment Flushing

Hydraulic flushing entails reducing the water level by opening an outlet with a low filling level to conditionally establish a river flow through the outlets [223]. In contrast to sediment routing, which attempts to prevent deposition during major events or the period of sediment entry, flushing uses drawdown or emptying to promote scouring and release of sediment after it has been deposited [89]. One drawback of flushing is downstream ecological or infrastructure impacts that occur with notable adjustments in flow and sediment rates; such drawbacks may inhibit many flushing occasions [221] due to lobbying from other stakeholder groups outside the hydropower industry. Usually, flushing cannot prevent siltation of the reservoir, but may, after some years, establish a balance between more sediment inflows and flushed sediment outflows [221]. Flushing in large hydropower reservoirs could also be essential for displacing sediments from live to dead storage and maintaining sufficient storage capacity upstream of the reservoir for regular power peaks [221].

5.1.6. Dredging

Dredging is one of the most costly mitigation techniques for hydroelectric sedimentation challenges, as it collects sediment from the bottom and places it in a different location [49,224]. An appropriate dumping location of dredged material is crucial, as dumped material should not come back into the reservoir [224]. The selection of dumps for dredged material and study of their efficiency should be investigated before starting dredging operations. The high costs of dredging and treatment of sediments, and the deposition of (fine) material outside the reservoirs is another drawback for sediment management [224]. However, recycling the dredged sediments back to the agricultural fields may offer a sustainable solution to nutrient losses from agricultural soils through soil erosion [216].
While it is challenging to separate the impacts of climate change from other changes in the river basin condition, its impacts cannot be ignored. Furthermore, ignoring the issues of land use, climate change, and political bureaucracy in making decisions about the spatial planning of dams can lead to detrimental effects of dam outages where there is lack of a holistic approach to sediment management measures. To this end, government-mandated land use conservation schemes and information on climate change should be among the appropriate approaches for reservoir planning before implementation.

6. Conclusions

There is a dearth of data on sedimentation rates in East African hydropower reservoirs. Available sediment yield data derived from reservoir sedimentation rates are mainly for larger catchments, which suggest that smaller catchments are poorly represented. The availability of these datasets remains relatively low or scarce across the region. The main reason for this under-representation is the limited number of studies and data availability of sedimentation rate in hydropower reservoirs in East Africa. This represents a key restriction for sustainable land use and reservoir management. Data scarcity and limited studies have posed a significant challenge for national and regional planning towards reducing soil erosion. It also likely impairs the willingness of international organizations and decision-makers to invest in measures that could help tackle soil erosion for basin-wide benefit. In addition to the recommendations given from the previous discussion, this study endorses the importance of establishing sediment budgets for hydropower catchment areas through a combination of different techniques/methods described in this contribution. Integration of techniques provides the necessary information for mobilization, redistribution, transport, and storage of sediments within a catchment area. These parameters should be assessed during the hydropower project design phase and supplemented by applying available models that spatially integrate sediment connectivity from the source to the sink. In this way, estimates can be made of the average annual or periodic volume and/or weight of the sediment load transported from the river into the reservoir. This study also recommends that the centralized governments in East African countries develop and/or implement mandatory climate information action in decision-making in the design of hydroelectric dams. This information is crucial for better implementing soil erosion control measures, where optimal action can be taken to achieve the best possible efforts and resources.

Author Contributions

A.A.: conceptualization, methodology, writing—original draft, resources, writing—review and editing; M.W.: conceptualization, methodology, writing—review and editing, supervision; W.B.: conceptualization, methodology, writing—review and editing, supervision, validation; K.M.: conceptualization, methodology, supervision. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Center for Water Infrastructure and Sustainable Energy Futures (WISE-Futures), grant number ACE (II).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data used to support the findings of this study are included in this article.

Acknowledgments

The authors would like to extend their gratitude to the Center for Water Infrastructure and Sustainable Energy Futures (WISE-Futures), one of the East and Southern Africa Higher Education Centers of Excellence ACE (II) supported by the World Bank for funding the PhD project to the first author.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Sediment delivery in the complex catchment and the sediment budget processes.
Figure 1. Sediment delivery in the complex catchment and the sediment budget processes.
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Figure 2. Selected hydropower dams in the Eastern Africa region; hexagons indicate dams with available data on sedimentation rates, stars indicate dams with available data on sediment yields, and triangles indicate dams with no available information on sedimentation rate or sediment yield.
Figure 2. Selected hydropower dams in the Eastern Africa region; hexagons indicate dams with available data on sedimentation rates, stars indicate dams with available data on sediment yields, and triangles indicate dams with no available information on sedimentation rate or sediment yield.
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Table 1. Sediment yields in selected catchments in the East Africa region.
Table 1. Sediment yields in selected catchments in the East Africa region.
CountryCatchmentArea ×104 (km2)Monitoring DatesSY
(t/km2/year)
References
EthiopiaAwash1.011959–19731468[61]
KenyaTana4.21968–1983761.9[57]
TanzaniaRufiji15.61954–1970106[58]
EthiopiaKoga0.3792009–201025[62]
SudanAtbara2.01964–19763422[58]
SudanBlue Nile9.01966–1976957[58]
Table 2. Sedimentation rate of East African hydropower reservoirs [55].
Table 2. Sedimentation rate of East African hydropower reservoirs [55].
CountryNumber of Hydropower ReservoirsAverage Sedimentation Rate (%/year)
Ethiopia10.52
Kenya41.45
Tanzania13.27
Sudan22.66
Table 3. Possible mitigation options for sediment management.
Table 3. Possible mitigation options for sediment management.
Measures against Reservoir Sedimentation
In the CatchmentAt the ReservoirAt Dam
Soil water conservation
Afforestation
Revegetation
Sustainable grazing and agricultural practices, such as tillage and crop management, terrace
Stone bunds, etc.
Check dams
Flushing
Dredging, etc.
Sluicing
Dams heightening elevation
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Amasi, A.; Wynants, M.; Blake, W.; Mtei, K. Drivers, Impacts and Mitigation of Increased Sedimentation in the Hydropower Reservoirs of East Africa. Land 2021, 10, 638. https://doi.org/10.3390/land10060638

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Amasi A, Wynants M, Blake W, Mtei K. Drivers, Impacts and Mitigation of Increased Sedimentation in the Hydropower Reservoirs of East Africa. Land. 2021; 10(6):638. https://doi.org/10.3390/land10060638

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Amasi, Aloyce, Maarten Wynants, William Blake, and Kelvin Mtei. 2021. "Drivers, Impacts and Mitigation of Increased Sedimentation in the Hydropower Reservoirs of East Africa" Land 10, no. 6: 638. https://doi.org/10.3390/land10060638

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