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A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Environmental Sustainability and Applications".

Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 15081

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Special Issue Editors

Prof. Dr. Dariusz Wrzesiński

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Guest Editor

Department of Hydrology and Water Management, Adam Mickiewicz University, 61-712 Poznań, Poland
Interests: flow regime; flow seasonality; thermal conditions; water chemistry; ice phenomena; climate change; human activity; methods of detecting changes and classifying river regimes
Special Issues, Collections and Topics in MDPI journals

Dr. Leszek Sobkowiak

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Guest Editor

Department of Hydrology and Water Management, Adam Mickiewicz University, 61-712 Poznań, Poland
Interests: climate change; time series analysis; river regime; water resource management; water balance; watershed hydrology; watershed management; China
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The main aim of this Special Issue is to collect results of research on the impact of climate change and human activity on the hydrological regime of rivers, lakes, and groundwater in different regions of the world, mainly in terms of transformation of the regime characteristics, their stability and predictability, and also quantitative and qualitative assessment of water resources with regard to their sustainable development. Particularly invited are papers on methods of detecting changes in the hydrological cycle in areas with diversified environmental conditions, e.g., with water deficits, and their consequences in quantitative, qualitative, physico-chemical, biological, socio-economic, and other aspects.

Prof. Dariusz Wrzesiński
Prof. Leszek Sobkowiak
Guest Editors

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Published Papers (3 papers)

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Research

15 pages, 3480 KiB

Open AccessArticle

Integrated Evaluation of Changing Water Resources in an Active Ecotourism Area: The Case of Puerto Princesa City, Palawan, Philippines

by Mark Ace Dela Cruz, Shinichiro Nakamura, Naota Hanasaki and Julien Boulange

Sustainability 2021, 13(9), 4826; https://doi.org/10.3390/su13094826 - 25 Apr 2021

Cited by 3 | Viewed by 9100

Abstract

Rapid urbanization, tourism, and climate change (CC) threaten water resource management in developing countries. Conventional water-planning tools cannot account for the changing effects of water disparity, climate risks, and environmental flow (EF) requirements. This paper proposes an alternative approach that applies stylized water-demand forecasting and predicting water availability from the perspectives of CC, changing society, and EF, thereby providing managers with future scenarios of surface water sufficiency/deficiency in an active ecotourism area, namely, Puerto Princesa City, Philippines. We considered (1) scenarios of seasonal droughts to prepare for climate risks in the future and (2) scenarios of water availability that do not depend on groundwater supply, in which the projected water deficiency is frequent both annually and seasonally. The results of this case study showed that an additional water supply from the Montible Watershed to the city was projected to secure sufficient amounts of water to achieve surface-water sufficiency, which is consistent with the goals of both the municipality and the water company to reduce the dependency on groundwater. Moreover, significant infrastructure investment costs must be anticipated in Scenario 3. Our approach proves efficient in modeling water demand in regions with active tourism and hydrology and therefore has the potential for further analyses and application. Full article

(This article belongs to the Special Issue Sustainable Water Resources Management in the Changing Environment)

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19 pages, 753 KiB

Open AccessArticle

Application of Bipartite Networks to the Study of Water Quality

by Jair J. Pineda-Pineda, C. T. Martínez-Martínez, J. A. Méndez-Bermúdez, Jesús Muñoz-Rojas and José M. Sigarreta

Sustainability 2020, 12(12), 5143; https://doi.org/10.3390/su12125143 - 24 Jun 2020

Cited by 11 | Viewed by 2798

Abstract

Water is a basic natural resource for life and the sustainable development of society. Methods to assess water quality in freshwater ecosystems based on environmental quality bioindicators have proven to be low cost, reliable, and can be adapted to ecosystems with well-defined structures. The objective of this paper is to propose an interdisciplinary approach for the assessment of water quality in freshwater ecosystems through bioindicators. From the presence/absence of bioindicator organisms and their sensitivity/tolerance to environmental stress, we constructed a bipartite network, G. In this direction, we propose a new method that combines two research approaches, Graph Theory and Random Matrix Theory (RMT). Through the topological properties of the graph G, we introduce a topological index, called

J P (G)

, to evaluate the water quality, and we study its properties and relationships with known indices, such as Biological Monitoring Working Party (

B M W P

) and Shannon diversity (

H^{'}

). Furthermore, we perform a scaling analysis of random bipartite networks with already specialized parameters for our case study. We validate our proposal for its application in the reservoir of Guájaro, Colombia. The results obtained allow us to infer that the proposed techniques are useful for the study of water quality, since they detect significant changes in the ecosystem. Full article

(This article belongs to the Special Issue Sustainable Water Resources Management in the Changing Environment)

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18 pages, 3677 KiB

Open AccessArticle

Estimation of the River Flow Synchronicity in the Upper Indus River Basin Using Copula Functions

by Leszek Sobkowiak, Adam Perz, Dariusz Wrzesiński and Muhammad Abrar Faiz

Sustainability 2020, 12(12), 5122; https://doi.org/10.3390/su12125122 - 23 Jun 2020

Cited by 10 | Viewed by 2347

Abstract

In this study, on the basis of the maximum and mean annual values of flows, dependencies between flows recorded in seven water gauges located in the upper part of the Indus River Basin (IRB) in Pakistan were analyzed. First, the non-parametric Mann–Kendall (M–K) test was used to detect trends in the flows. Next, the Pearson’s correlation coefficient was applied. Then, the selected copulas were used to find joint distributions of the studied time series. In the next stage, the degrees of synchronous and asynchronous occurrence of, respectively, the annual maximum (AMAXF) and mean annual flows (MAF) were calculated. The study revealed that correlations between the flows in selected gauge stations were very strong and statistically significant. These results were confirmed by the synchronicity analysis carried out with the help of the copula functions. The highest relationship was detected in the case of gauges Besham Qila and Kachura on the Indus mainstream, while the lowest was detected in gauges Besham Qila and Naltar on the Naltar River. These findings can be of high practical value in the field of sustainable water resource management, including for flood protection, agricultural water supply, reservoir water storage, and hydropower generation in the IRB. Full article

(This article belongs to the Special Issue Sustainable Water Resources Management in the Changing Environment)

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