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Dear Colleagues,

Groundwater resource management plays an important role in water resource management, agricultural irrigation, ecological environment, and the socio-economic development of a region. Groundwater processes are influenced by complex weather and nonlinear infiltration mechanisms, which are difficult to model; thus, reliable groundwater modelling and forecasting remain a challenge. Recently, new technologies and methods have been employed in groundwater management, such as satellite remote sensing technology, big data mining technology, artificial intelligence, etc., to improve the quality of forecasting and simulation. In addition, the impact of climate change on groundwater in recent years is highly concerning. Advanced modelling techniques, including physical-based modelling and machine-learning-based modelling, may provide the necessary support for authorities, decision makers, and ordinary stakeholders. For this Special Issue, we invite contributions of original reviews and research focused on developing and improving groundwater modelling and investigating their applications in water resource management as well as the impacts of the changing climate on groundwater.

Research areas of interest include (but are not limited to) the following:

Physically based and machine-learning-based groundwater modelling;
Predicting and understanding groundwater resources;
Hydrological and hydrodynamic modelling in groundwater;
Surface and groundwater interaction modelling;
Climate change impacts on groundwater and water resources;
Machine learning and optimization algorithms in groundwater;
Applications of new technology in groundwater;
Remote sensing, machine learning, and GIS in groundwater.

We look forward to receiving your contributions.

Dr. Duong Tran Anh
Dr. Dang An Tran
Dr. Quoc Bao Pham
Dr. Ha Quang Khai
Prof. Dr. Francesco Granata
Guest Editors

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Keywords

groundwater
climate change
machine learning
remote sensing
GIS
water resources

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27 pages, 14958 KiB

Open AccessArticle

Adapting to Climate-Change-Induced Drought Stress to Improve Water Management in Southeast Vietnam

by Phong Nguyen Thanh, Thinh Le Van, Tuan Tran Minh, Tuyen Huynh Ngoc, Worapong Lohpaisankrit, Quoc Bao Pham, Alexandre S. Gagnon, Proloy Deb, Nhat Truong Pham, Duong Tran Anh and Vuong Nguyen Dinh

Sustainability 2023, 15(11), 9021; https://doi.org/10.3390/su15119021 - 02 Jun 2023

Cited by 1 | Viewed by 1837

Abstract

In Southeast Vietnam, droughts have become more frequent, causing significant damage and impacting the region’s socio-economic development. Water shortages frequently affect the industrial and agricultural sectors in the area. This study aims to calculate the water balance and the resilience of existing water resource allocations in the La Nga-Luy River basin based on two scenarios: (1) business-as-usual and (2) following a sustainable development approach. The MIKE NAM and MIKE HYDRO BASIN models were used for rainfall–runoff (R-R) and water balance modeling, respectively, and the Keetch–Byram Drought Index (KBDI) was used to estimate the magnitude of the droughts. The results identified areas within the Nga-Luy River basin where abnormally dry and moderate drought conditions are common, as well as subbasins, i.e., in the southeast and northeast, where severe and extreme droughts often prevail. It was also shown that the water demand for the irrigation of the winter–spring and summer–autumn crop life cycles could be fully met under abnormally dry conditions. This possibility decreases to 85–100% during moderate droughts, however. In contrast, 65% and 45–50% of the water demand for irrigation is met for the winter–spring and summer–autumn crop life cycles, respectively, during severe and extreme droughts. Furthermore, this study demonstrates that the water demand for irrigation could still be met 100% and 75–80% of the time during moderate, and extreme or severe droughts, respectively, through increased water use efficiency. This study could help managers to rationally regulate water in order to meet the agricultural sector’s needs in the region and reduce the damage and costs caused by droughts. Full article

(This article belongs to the Special Issue Recent Advances in Groundwater Resources Management for Sustainability)

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