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Global Water Risks Across Shared River Corridors in Transboundary Basins
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Global Water Risks Across Shared River Corridors in Transboundary Basins

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

Deadline for manuscript submissions: 20 December 2025 | Viewed by 4038

Special Issue Editors

Dr. Shahbaz Khan

E-Mail Website
Guest Editor
Department of Structures and Environmenral Engineering, University of Agricluture Faisalabad, Faisalabad, Pakistan
Interests: Water pollution; water quality; nature-based solutions
Dr. Arfan Arshad

E-Mail Website
Guest Editor
Department of Biosystems and Agricultural Engineering, Oklahoma State University, Stillwater, OK 74075, USA
Interests: Transboundary water governance; food security; remote sensing; climate change; earth system predictability
Special Issues, Collections and Topics in MDPI journals
Dr. Fazlullah Akhtar

E-Mail Website
Guest Editor
Center for Development Research (ZEF), University of Bonn, Genscherallee 3, 53113 Bonn, Germany
Interests: Climate change; water governance; transboundary water cooperation; hydrology; agricultural water use
Special Issues, Collections and Topics in MDPI journals
Dr. Zaichen Xiang

E-Mail Website
Guest Editor
Department of Biosystems and Agricultural Engineering, Oklahoma State University, Stillwater, OK 74075, USA
Interests: groundwater hydrology; hydrological numerical models; surface water-groundwater interaction; agricultural water management; best management practices; climate change; adaptation planning, machine learning, remote sensing

Special Issue Information

Dear Colleagues,

In recent decades, the intricate dynamics of transboundary water systems have gained increasing global significance amidst the pressures of human activities and climatic variability. This phenomenon presents significant challenges to socioeconomic and environmental conditions worldwide. Understanding the evolving status and trends within transboundary water systems has thus become paramount on a global scale. This proposed Special Issue aims to shed light on the current state of affairs within transboundary water systems worldwide, with a specific emphasis on studies focused on transboundary water perspectives. By examining key parameters such as aquifer storage changes, groundwater quality, river streamflow alterations, floods/droughts, and lake water storage variations, we seek to unravel the intricate interactions shaping the dynamics of these systems. Leveraging advanced methodologies such as machine learning (ML) and artificial intelligence (AI), hydrological models, nexus modeling, and remote sensing applications, our endeavor is to provide a comprehensive global analysis that underscores the imperative for collaborative management and sustainable strategies. Furthermore, we specifically emphasize the importance of generating data and new tools to enhance our understanding of transboundary water systems. We encourage authors to provide access to their data repositories, fostering transparency and facilitating further research. Additionally, we will establish a data hub where all published papers and generated data will be made available for community use, capacity development, and stakeholder engagement. This resource will assist in making informed, sustainable decisions for food and water security in both local and global regions. Therefore, our Guest Editor team will prioritize high-quality submissions from authors whose primary focus is on advancing transboundary water governance through the development of new datasets, tools, and research innovations. Our ultimate goal is to foster a deeper understanding of transboundary water systems’ vulnerabilities, resilience, and adaptation pathways in the face of evolving global challenges. We invite scientists and researchers to contribute their insights and expertise, exploring topics such as collaborative water management strategies, future scenarios for sustainable water use, and the complex interplay of socio-economic and ecological factors. Together, let us embark on a journey to unravel the complexities of transboundary water systems worldwide, paving the way for informed decision-making and collective action to safeguard the vital water resources essential for global prosperity and well-being.

Dr. Shahbaz Khan
Dr. Arfan Arshad
Dr. Fazlullah Akhtar
Dr. Zaichen Xiang
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

  • transboundary river basins
  • water governance
  • capacity development
  • remote sensing
  • ML/AI tools
  • water quality and quantity
  • land-water dynamics
  • flood and droughts
  • land cover changes
  • outlook at shared aquifers

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Published Papers (2 papers)

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Research

20 pages, 12925 KiB  
Article
Climate Change-Driven Hydrological Shifts in the Kon-Ha Thanh River Basin
by Cong Huy Vu, Binh Quang Nguyen, Thanh-Nhan-Duc Tran, Duong Ngoc Vo and Arfan Arshad
Water 2024, 16(23), 3389; https://doi.org/10.3390/w16233389 - 25 Nov 2024
Cited by 10 | Viewed by 1043
Abstract
Climate change is projected to bring substantial changes to hydroclimatic extremes, which will affect natural river regimes and have wide-ranging impacts on human health and ecosystems, particularly in Central Highland Vietnam. This study focuses on understanding and quantifying the projected impacts of climate [...] Read more.
Climate change is projected to bring substantial changes to hydroclimatic extremes, which will affect natural river regimes and have wide-ranging impacts on human health and ecosystems, particularly in Central Highland Vietnam. This study focuses on understanding and quantifying the projected impacts of climate change on streamflow in the Kon-Ha Thanh River basin, using the Soil and Water Assessment Tool (SWAT) between 2016 and 2099. The study examined projected changes in streamflow across three time periods (2016–2035, 2046–2065, and 2080–2029) under two scenarios, Representative Conversion Pathways (RCPs) 4.5 and 8.5. The model was developed and validated on a daily scale with the model performance, yielding good performance scores, including Coefficient of Determination (R2), Nash-Sutcliffe Efficiency (NSE), and Root Mean Squared Error (RMSE) values of 0.79, 0.77, and 50.96 m3/s, respectively. Our findings are (1) streamflow during the wet season is projected to increase by up to 150%, particularly in December, under RCP 8.5; (2) dry season flows are expected to decrease by over 10%, beginning in May, heightening the risk of water shortages during critical agricultural periods; and (3) shifts in the timing of flood and dry seasons are found toward 2099 that will require adaptive measures for water resource management. These findings provide a scientific foundation for incorporating climate change impacts into regional water management strategies and enhancing the resilience of local communities to future hydroclimatic challenges. Full article
(This article belongs to the Special Issue Global Water Risks Across Shared River Corridors in Transboundary Basins)
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19 pages, 6805 KiB  
Article
Multispectral Assessment of Net Radiations Using Comprehensive Multi-Satellite Data
by Muhammad Jawad Arshad, Sikandar Ali, Shahbaz Nasir Khan, Arfan Arshad, Jinping Liu, Faisal Mumtaz, Muhammad Mohsin Waqas, Barjeece Bashir and Rao Husnain Arshad
Water 2024, 16(23), 3378; https://doi.org/10.3390/w16233378 - 24 Nov 2024
Viewed by 1400
Abstract
Precise estimation of net radiation (Rn) is fundamental to understanding surface energy balance and is critical for accurately determining crop water requirements, especially using remote sensing and geospatial techniques. The core objective of this study is to evaluate multi-satellite-based net radiations on major [...] Read more.
Precise estimation of net radiation (Rn) is fundamental to understanding surface energy balance and is critical for accurately determining crop water requirements, especially using remote sensing and geospatial techniques. The core objective of this study is to evaluate multi-satellite-based net radiations on major cropped areas of the Punjab and Sindh provinces of Pakistan. In this study, overlapping scenes from the Moderate Resolution Imaging Spectroradiometer (MODIS), Landsat 8, and Sentinel 2 were used from 2016 to 2020 along with three temperature products MOD11A1, Landsat 8 (brightness temperature), and ERA5. The multi-satellite-based net radiation estimations on overlapping days were compared with the Global Land Data Assimilation System (GLDAS) dataset. The models based on Landsat 8 and Sentinel 2 data exhibited good performance, with a Nash–Sutcliffe Efficiency (NSE) of 68.9%, a mean error (ME) of 13.918 W/m2, and a bias of 50.669 W/m2. The results indicated that Landsat 8 and Sentinel 2 data produced reliable estimations of net radiation, while MODIS data tended to overestimate due to its higher spatial resolution and broader coverage area. Landsat 8-based estimations are good compared to others, as it has good correlation coefficient and lower RMSE values. The study concludes that Landsat 8 provides the most reliable estimates of net radiation for determining crop water requirements, outperforming other datasets in accuracy. The findings underscore the importance of using high-resolution multi-satellite data for precise agricultural water management, recommending its use in future studies and water resource planning in Pakistan. Full article
(This article belongs to the Special Issue Global Water Risks Across Shared River Corridors in Transboundary Basins)
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