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Integrated Water Resources Modeling and Management
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Integrated Water Resources Modeling and Management

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Water Resources Management, Policy and Governance".

Deadline for manuscript submissions: closed (10 July 2023) | Viewed by 6678

Special Issue Editor

Dr. Jesús Mateo-Lázaro

E-Mail Website
Guest Editor
Department of Earth Sciences, University of Zaragoza, 50009 Zaragoza, Spain
Interests: hydrological and hydrodynamic models; 3D geological and groundwater models; hydrological statistics; management and research of water resources; water cycle research; software development for science and engineering
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

I would like to invite you to submit your latest research findings in Integrated Water Resources Modeling and Management to a Special Issue of Water (IF 3.103, ISSN 2073-4441), an open-access journal (https://www.mdpi.com/journal/water). Submissions should include studies that advance the current state of knowledge or critical reviews of existing models and practices.

Integrated Water Resources Modeling and Management (IWRMM) is an empirical concept born from professionals’ own field experience. The concept of integrated water resources management (IWRM) gained strength starting from the World Summit on Sustainable Development in 1992 in Rio de Janeiro. It is still the subject of profound debate, including practical implications. IWRMM is a process that promotes the coordinated modeling, management and development of water, land and other related resources, in order to maximize economic results and social well-being in an equitable way without compromising the sustainability of vital ecosystems. The topic is closely linked to water, territory and production, which materializes with the elaboration of updated management models, useful for researchers and for the administration of water resources, considered as a public and strategic good.

This Special Issue aims to collect recent advances on integrated water resources modeling and management, including but not limited to the following themes: (I) Integrated water resources management and water efficiency plans for sustainable development. (II) Modeling of water resources management in basins and analysis of the impacts of exploitation of water and energy resources. (III) Proposals for guidelines for a rational and sustainable management of water, land, energy and other related resources. (IV) Principles, frameworks, contributions and implementation of integrated water resources modeling and management in large basins. (V) Actual or predictive analysis of the effects produced by a rational application of integrated water resources modeling and management.

Dr. Jesús Mateo-Lázaro
Guest Editor

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

  • IWRMM issues
  • sustainable development
  • river basin management
  • efficiency plans
  • world water assessment
  • development of water resources

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Published Papers (3 papers)

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Research

30 pages, 9452 KiB  
Article
Planning and Evaluating Nature-Based Solutions for Watershed Investment Programs with a SMART Perspective Using a Distributed Modeling Tool
by Mario Jiménez, Cristian Usma, Daniela Posada, Juan Ramírez, Carlos A. Rogéliz, Jonathan Nogales and Erik Spiro-Larrea
Water 2023, 15(19), 3388; https://doi.org/10.3390/w15193388 - 27 Sep 2023
Cited by 1 | Viewed by 2035
Abstract
Watershed Investment Programs (WIPs) face many challenges in implementing strategies aimed at restoring and preserving ecosystem services using Nature-based Solutions (NbS). A key challenge lies in defining SMART (Specific, Measurable, Achievable, Relevant, and Time-bound) objectives, which involve addressing questions such as which NbS [...] Read more.
Watershed Investment Programs (WIPs) face many challenges in implementing strategies aimed at restoring and preserving ecosystem services using Nature-based Solutions (NbS). A key challenge lies in defining SMART (Specific, Measurable, Achievable, Relevant, and Time-bound) objectives, which involve addressing questions such as which NbS interventions to apply, where, and in what amounts. Effectively achieving WIPs’ objectives requires strategic implementation of NbS. In response to this challenge, we present SIGA-CALv1.0, a daily time-step and distributed modeling conceptual framework that enables the design and evaluation of the impact of NbS portfolios on water quantity and quality. To validate our framework, we applied it to the Arma river basin in Colombia. Our findings indicate that NbS can lead to substantial benefits, including reductions of up to 47% in sediment, 62% in nitrogen, 8% in phosphorus, and 15% in pathogen indicators (total coliforms). The proposed methodological framework offers decision-makers robust technical support for defining strategic NbS implementation plans, guided by SMART objectives. This approach strengthens the effectiveness of ecosystem services restoration and conservation strategies in watersheds, enabling more efficient resource allocation and improved environmental outcomes. Full article
(This article belongs to the Special Issue Integrated Water Resources Modeling and Management)
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21 pages, 3990 KiB  
Article
Towards Adaptive Water Management—Optimizing River Water Diversion at the Basin Scale under Future Environmental Conditions
by Diana Derepasko, Felix Witing, Francisco J. Peñas, José Barquín and Martin Volk
Water 2023, 15(18), 3289; https://doi.org/10.3390/w15183289 - 18 Sep 2023
Cited by 2 | Viewed by 1717
Abstract
The degree of success of river water diversion planning decisions is affected by uncertain environmental conditions. The adaptive water management framework incorporates this uncertainty at all stages of management. While the most effective form of adaptive management requires experimental comparison of practices, the [...] Read more.
The degree of success of river water diversion planning decisions is affected by uncertain environmental conditions. The adaptive water management framework incorporates this uncertainty at all stages of management. While the most effective form of adaptive management requires experimental comparison of practices, the use of optimization modeling is convenient for conducting exploratory simulations to evaluate the spatiotemporal implications of current water diversion management decisions under future environmental changes. We demonstrate such an explorative modeling approach by assessing river water availability for diversion in a river basin in Northern Spain under two future environmental scenarios that combine climate and land use change. An evolutionary optimization method is applied to identify and reduce trade-offs with Supporting Ecosystem Services linked to environmental flow requirements for relevant local freshwater species. The results show that seasonal shifts and spatial heterogeneity of diversion volumes are the main challenges for the future diversion management of the Pas River. Basin-scale diversion management should take into account the seasonal planning horizon and the setting of tailored diversion targets at the local-level to promote the implementation of adaptive management. The presented assessment can help with strategic placement of diversion points and timing of withdrawals, but it also provides deeper insight into how optimisation can support decision-making in managing water diversion under uncertain future environmental conditions. Full article
(This article belongs to the Special Issue Integrated Water Resources Modeling and Management)
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21 pages, 4696 KiB  
Article
A Multi-Objective Decision Model for Water Pollution Load Allocation under Uncertainty
by Runjuan Zhou, Yingke Sun, Wenyuan Chen, Kuo Zhang, Shuai Shao and Ming Zhang
Water 2023, 15(2), 309; https://doi.org/10.3390/w15020309 - 11 Jan 2023
Cited by 4 | Viewed by 2018
Abstract
In order to control the discharge of regional total pollutants in the region and improve the ability of water environment management and decision making, a multi-objective decision-making optimization model of water pollution load allocation was constructed, which took into account economy and fairness. [...] Read more.
In order to control the discharge of regional total pollutants in the region and improve the ability of water environment management and decision making, a multi-objective decision-making optimization model of water pollution load allocation was constructed, which took into account economy and fairness. The model takes the maximum environmental benefit and the minimum weighted comprehensive Gini coefficient as the objective function and takes into account the uncertainty and multi-objectives of the model, which is conducive to promoting economic development and ensuring the fairness of regional water pollutant discharge. A method based on Monte Carlo simulation coupled with a genetic algorithm was designed to obtain the optimal solution set through multiple simulation optimization. This model is applied to Anhui Province to solve the allocation optimization problem of total pollutant reduction in the 13th Five-Year Energy Conservation and Emission Reduction Plan. After the optimization of water pollution load distribution, the comprehensive Gini coefficients of COD and NH3-N are reduced by different ranges. The comprehensive Gini coefficient after COD optimization decreased by 2.4–4.6%, and the comprehensive Gini coefficient after NH3-N optimization decreased by 25.1–32.5%, which verified the feasibility and rationality of the model in the optimal allocation of the total discharge of regional water pollutants. The model takes into account uncertain subjective and objective factors that have an important impact on water pollutant discharge targets and decision variables, thus optimizing the total emissions of the entire regional control unit in both space and time. Full article
(This article belongs to the Special Issue Integrated Water Resources Modeling and Management)
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