Integrated System Dynamics Modelling of the Water–Energy–Food–Land–Climate Nexus

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Water-Energy Nexus".

Deadline for manuscript submissions: closed (25 April 2024) | Viewed by 1513

Special Issue Editors


E-Mail Website
Guest Editor
Department of Environmental Engineering, Seoul National University of Science and Technology, Seoul 01811, Republic of Korea
Interests: agriculture; climate change; water–energy–food nexus; crop production; water and soil analysis; sustainability; remote sensing
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Earth Sciences, The University of Newcastle, Callaghan, Australia
Interests: crop modeling; hydrological modeling; systems modeling; data science in agriculture; precision agriculture

E-Mail Website1 Website2
Guest Editor
Wetland Hydrology Research Laboratory, Faculty of Environment, University of Waterloo, Waterloo, ON N2L 3G1, Canada
Interests: soil and groundwater pollution; fate and transport of napls; multiphase flow; remediation, restoration, and management of polluted sites; soil microbiome; wetland hydrology
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

“Integrated System Dynamics Modelling of the Water–Energy–Food–Land–Climate Nexus” is a comprehensive approach to analyse the intricate interplay between water, energy, food, land, and climate systems. Utilising mathematical models and simulations, this methodology provides a holistic perspective of this nexus, revealing complex feedback loops, trade-offs, and synergies. It enables researchers and decision makers to evaluate the effects of various interventions and policies on the resilience and sustainability of these interconnected systems, ultimately guiding decision making for a more climate-resilient and sustainable future in the face of expanding environmental challenges.

  1. Utilising systems models to analyse the intricate interactions within the water–energy–climate nexus.
  2. System dynamics modelling to enhance water resource management strategies.
  3. Sustainable development of nexus systems.
  4. Developing decision support tools for this nexus.
  5. Climate change adaptation of water–energy–food–land–climate nexus systems.
  6. Implementing strategies for water conservation and integration systems.
  7. Utilising systematic methods and tools to understand the complex interactions between water, energy, and climate.
  8. Resilience of water, food, land, climate, and water systems.

Dr. Swatantra Kumar Dubey
Dr. Proloy Deb
Dr. Pankaj Kumar Gupta
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Water is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • crop modelling
  • climate modelling
  • crop modelling
  • water and food nexus
  • soil microbiome
  • wetland hydrology

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

26 pages, 7470 KiB  
Article
Estimation of ET and Crop Water Productivity in a Semi-Arid Region Using a Large Aperture Scintillometer and Remote Sensing-Based SETMI Model
by Pragya Singh, Vinay Kumar Sehgal, Rajkumar Dhakar, Christopher M. U. Neale, Ivo Zution Goncalves, Alka Rani, Prakash Kumar Jha, Deb Kumar Das, Joydeep Mukherjee, Manoj Khanna and Swatantra Kumar Dubey
Water 2024, 16(3), 422; https://doi.org/10.3390/w16030422 - 28 Jan 2024
Viewed by 1139
Abstract
With the increasing water scarcity and the demand for sustainable agriculture, precise estimation of crop evapotranspiration (ET) is crucial for effective irrigation management, crop yield assessment, and equitable water distribution, particularly in semi-arid regions. In this study, a large aperture scintillometer (LAS) was [...] Read more.
With the increasing water scarcity and the demand for sustainable agriculture, precise estimation of crop evapotranspiration (ET) is crucial for effective irrigation management, crop yield assessment, and equitable water distribution, particularly in semi-arid regions. In this study, a large aperture scintillometer (LAS) was used to validate the remote sensing-based ET model SETMI (Spatial Evapotranspiration Modeling Interface) in an irrigated maize-wheat cropping system in a semi-arid region at the ICAR-Indian Agricultural Research Institute, New Delhi. Results obtained by the SETMI model depicted modeled surface energy fluxes compared well with LAS field data, showing a very high R2 (0.83–0.95) and NRMSE (8–29%). The SETMI model performed better in the case of the maize crop than the wheat crop in field experiments. Further, the SETMI model was employed at the regional level using high-resolution Sentinel-2 to estimate the regional water productivity of wheat crops over a semi-arid region in India. The estimated regional, seasonal wheat actual ET mainly ranged between 101 mm and 325 mm. The regional wheat water productivity varied from 0.9 kg m−3 to 2.20 kg m−3. Our research reveals that the SETMI model can give reliable estimates of regional wheat water productivity by examining its spatial and temporal fluctuations and facilitating the creation of regional benchmark values. Full article
Show Figures

Figure 1

Back to TopTop