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Sustainable Water Resources Planning and Management

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A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Water Management".

Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 5253

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Special Issue Editors

Prof. Dr. Atiqur Rahman

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Guest Editor

Department of Geography, Faculty of Natural Sciences, Jamia Millia Islamia, New Delhi 110025, India
Interests: climate change; urban environment; water resource management; remote sensing; artificial intelligence; natural hazards

Prof. Dr. Shakeel Ahmed

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Guest Editor

Maulana Azad National Urdu University, Hyderabad 500032, India
Interests: groundwater; hydrology; hydrogeology; hydro-geophysics; geostatistics; aquifer modeling

Dr. Swapan Talukdar

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Guest Editor

Department of Geography, Faculty of Natural Sciences, JamiaMilliaIslamia, New Delhi 110025, India
Interests: hydrology; water resource management; wetland; wetland hydrology; remote sensing; artificial intelligence

Dr. Abu Reza Md. Towfiqul Islam

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Guest Editor

Department of Disaster Management, Begum Rokeya University, Rangpur, Rangpur 5400, Bangladesh
Interests: climate change; disaster management; natural hazard and water quality; sustainability and human health risk
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Special Issue Information

Dear Colleague,

Water resources are the most important driving force on our planet, and support a wide range of ecological and cultural services, including biodiversity conservation, nutrient cycling, increased primary production, recreation, ecotourism, transportation, and other cultural purposes. The pressure on water resources is increasing day by day, and will continue to rise due to increased drought frequency, urbanization, urban population expansion, deforestation, usage of fertilizers and pesticides, the spread of exotic species, etc. As a result, precise, low-cost, and rapid monitoring methods based on remote sensing technology are required for the timely deployment of conservation and restoration actions for water resource management. In view of United Nations Sustainable Development Goal (SDG) 6, "ensuring the availability and sustainable management of water and sanitation for all," this Special Issue invites papers that focus on innovative practical applications of advanced remote sensing and modelling techniques to water resources and environmental management at various spatial scales. This open-access Special Issue seeks high-quality and original scientific contributions detailing cutting-edge research on water-related challenges and management aspects. Potential topics include, but are not limited to, the following:

(1) Methodological development for analyzing hydrological variables;

(2) Data assimilation, data creation at the local level;

(3) Utilization of remote sensing for various hydrological studies at multiple spatiotemporal scales;

(4) Relationship between land use change and water resources;

(5) Use of remote sensing data to accelerate the performance of best management practices in hydrology.

We look forward to receiving your contributions.

Prof. Dr. Atiqur Rahman
Prof. Dr. Shakeel Ahmed
Dr. Swapan Talukdar
Dr. Abu Reza Md. Towfiqul Islam
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. Sustainability 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 2400 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

surface hydrology
hydrogeology
water quality assessment
sustainable water management
multi-spectral remote sensing
climate change
artificial intelligence

Published Papers (3 papers)

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Research

28 pages, 40989 KiB

Open AccessArticle

Spatial Prediction of Groundwater Withdrawal Potential Using Shallow, Hybrid, and Deep Learning Algorithms in the Toudgha Oasis, Southeast Morocco

by Lamya Ouali, Lahcen Kabiri, Mustapha Namous, Mohammed Hssaisoune, Kamal Abdelrahman, Mohammed S. Fnais, Hichame Kabiri, Mohammed El Hafyani, Hassane Oubaassine, Abdelkrim Arioua and Lhoussaine Bouchaou

Sustainability 2023, 15(5), 3874; https://doi.org/10.3390/su15053874 - 21 Feb 2023

Cited by 8 | Viewed by 1775

Abstract

Water availability is a key factor in territorial sustainable development. Moreover, groundwater constitutes the survival element of human life and ecosystems in arid oasis areas. Therefore, groundwater potential (GWP) identification represents a crucial step for its management and sustainable development. This study aimed to map the GWP using ten algorithms, i.e., shallow models comprising: multilayer perceptron, k-nearest neighbor, decision tree, and support vector machine algorithms; hybrid models comprising: voting, random forest, adaptive boosting, gradient boosting (GraB), and extreme gradient boosting; and the deep learning neural network. The GWP inventory map was prepared using 884 binary data, with “1” indicating a high GWP and “0” indicating an extremely low GWP. Twenty-three GWP-influencing factors have been classified into numerical data using the frequency ration method. Afterwards, they were selected based on their importance and multi-collinearity tests. The predicted GWP maps show that, on average, only 11% of the total area was predicted as a very high GWP zone and 17% and 51% were estimated as low and very low GWP zones, respectively. The performance analyses demonstrate that the applied algorithms have satisfied the validation standards for both training and validation tests with an average area under curve of 0.89 for the receiver operating characteristic. Furthermore, the models’ prioritization has selected the GraB model as the outperforming algorithm for GWP mapping. This study provides decision support tools for sustainable development in an oasis area. Full article

(This article belongs to the Special Issue Sustainable Water Resources Planning and Management)

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18 pages, 3772 KiB

Open AccessArticle

Can Horizontal Ecological Compensation Improve the Water Environment in Cross-Provincial Watersheds?

by Dongbin Hu, Mei Lin and Yang Chen

Sustainability 2022, 14(16), 10157; https://doi.org/10.3390/su141610157 - 16 Aug 2022

Cited by 3 | Viewed by 1216

Abstract

Horizontal ecological compensation is an important institutional innovation to promote ecological civilization and is the main functional area strategy in China under the current management mechanism. In this paper, we use contract theory to analyze the advantages of horizontal ecological compensation in cross-provincial watershed governance issues based on the basis of the case of Xin’anjiang River Basin, which is the first pilot horizontal ecological compensation in cross-provincial watersheds in China. We select panel data from 2004 to 2020 and use the synthetic control method (SCM) from the perspective of the water environment to assess the horizontal ecological compensation on the intensity of water pollution in the Xin’anjiang River basin. It is found that: (1) The horizontal ecological compensation can effectively respond to the failure of traditional ecological compensation methods in cross-provincial watershed governance, and, to some extent, solve the problem of lacking of incentives for upstream and downstream governments to participate; (2) The horizontal ecological compensation can reduce the water pollution intensity and improve the water environment in the Xin’anjiang River Basin; (3) However, the impact on the upstream is significantly lower than that of the downstream, and the policy effect on the upstream tends to be zero after the central government removes the subsidies to the upstream in 2018; and (4) The policy shows an expected effect two years ahead of the implementation. The findings of this paper have important implications for the promotion of the horizontal ecological compensation policy and the management of the water environment in cross-provincial watersheds. Full article

(This article belongs to the Special Issue Sustainable Water Resources Planning and Management)

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17 pages, 5324 KiB

Open AccessArticle

Potential Impacts of Industrialization on Coastal Fresh Groundwater Resources in Bangladesh

by Mahfuzur R Khan, Fuad Hasan, Majidul Islam, Masuma Chowdhury, Sumiya Sadeak, Al Amin, Farhad Hossain and Kazi Matin Ahmed

Sustainability 2022, 14(14), 8704; https://doi.org/10.3390/su14148704 - 15 Jul 2022

Cited by 2 | Viewed by 1603

Abstract

Bangladesh is overly dependent on groundwater and the demand in the near future is expected to increase, as the country is experiencing rapid development and industrial growth. This study assesses the prospect and sustainability of groundwater in Mirsharai Upazila, Chattogram, where a large industrial area, namely ‘Bangabandhu Sheikh Mujib Shilpa Nagar (BSMSN)’, is taking shape. The physical aquifer system was characterized and groundwater quality was mapped. There is one thick aquifer in the northernmost part of the upazila, which splits into three separate aquifers in the south. Water quality indexing suggests that the deep (>130 m) groundwater throughout upazila is good (n = 5) to excellent (n = 18), while the shallow groundwater is mostly poor to unsuitable for both drinking and irrigation purposes. Because of the close proximity to the sea and the presence of thick clays above the deep freshwater aquifer in the BSMSN area, heavy industrial abstraction poses a threat to the lateral intrusion of seawater and land subsidence. Even a small subsidence in the project area at only a couple of meters above sea level would jeopardize the entire project. This study recommends limiting the use of the deep fresh groundwater for the current population of the upazila. Full article

(This article belongs to the Special Issue Sustainable Water Resources Planning and Management)

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