Ecological drought evolution characteristics under different climatic regions in the Yangtze River basin

Journal of Hydrology, Journal Year: 2023, Volume and Issue: 629, P. 130573 - 130573

Published: Dec. 8, 2023

Language: Английский

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Collaborative Management of Water‐Energy‐Food‐Ecosystems Nexus in Central Asia Under Uncertainty

Water Resources Research, Journal Year: 2024, Volume and Issue: 60(3)

Published: March 1, 2024

Abstract Collaborative management of the water‐energy‐food‐ecosystems (WEFE) nexus can contribute significantly to sustainable development. However, multiple decision‐making levels with diverse preferences and uncertainties in different forms pose intractable challenges process. In this study, a novel optimization method named as multi‐level chance‐constrained fuzzy programming (MCFP) is developed jointly manage WEFE nexus. MCFP has advantages evaluating trade‐offs among competitive decision makers, solving decentralized planning problems hierarchical structure, tackling expressed randomness vagueness. then applied Central Asia, where five countries, 43 states, six water sources, eight users are involved over long‐term horizon (2021–2050). A set scenarios designed reflect based on irrigation efficiencies, food, ecological electricity demands well constraint‐violation probability system credibility levels. The major findings are: (a) proportion agricultural allocation would reduce 45.4%–56.6% by 2050 save more for ensuring restoration energy supply; (b) order balance support regional development, policymakers should sacrifice some benefits, strict arable land limits cereal crops, improve efficiency through adopting drip sprinkler irrigation, avoid effects paradox. helpful gaining insight into interrelationships water, energy, food ecosystems making decisions collaborative system.

Language: Английский

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Unlocking Potential: A Holistic Approach to Water, Energy, and Food Security Nexus in Tangier-Tetouan-Al Hoceima, Morocco

Case Studies in Chemical and Environmental Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 101129 - 101129

Published: Feb. 1, 2025

Language: Английский

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Women in hydrology: Pioneering interdisciplinary advances and mentorship in science

Journal of Hydrology, Journal Year: 2025, Volume and Issue: unknown, P. 133146 - 133146

Published: March 1, 2025

Language: Английский

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Dynamics in action: Exploring economic impacts of drought through a systemic approach

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 380, P. 125111 - 125111

Published: March 31, 2025

Droughts are generally associated with direct and indirect impacts, but their relationships propagation dynamics often unknown. This study aims to fill this research gap by exploring the spill-over effects of drought impacts across systems and, in doing so, identifying leverage points within promote effective mitigation strategies. To achieve these objectives, 2022 a portion Po River Basin District analysed through qualitative application System Dynamics methodology called Causal Loop Diagrams, systemic representations that can effectively capture interdependencies complex subsystems. The findings reveal increased production costs all water-using sectors due higher energy demands driven energy-intensive activities such as irrigation, pumping potabilization. empirical results offer novel insight into identification providing further evidence on water-energy nexus. Therefore, policy approaches enhance blue green water reserves, while addressing interconnections, encouraged for mitigating impacts. underscores importance adopting proactive approach management rather than reactive responses during occurrence extreme events. Finally, fields characterized high fragmentation, policy, demonstrates how representing system behaviour causal maps support integration different sectoral policies, decision-makers tools evaluate address complexity droughts.

Language: Английский

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Uni- and multivariate bias adjustment of climate model simulations in Nordic catchments: Effects on hydrological signatures relevant for water resources management in a changing climate

Journal of Hydrology, Journal Year: 2023, Volume and Issue: 623, P. 129807 - 129807

Published: June 15, 2023

Hydrological climate-change-impact studies depend on climatic variables simulated by climate models. Due to parametrization and numerous simplifications, however, climate-model outputs come with systematic biases compared the observations. In past decade, several methods of different complexity dimensionality for adjustment such were introduced, but their benefits impact accurate streamflow projections are still debated. this paper, we evaluated ability two state-of-the-art, advanced multivariate bias-adjustment accurately reproduce 16 hydrological signatures, performance against parsimonious univariate based a multi-criteria evaluation. The results indicated that all considerably reduced increased consistency signatures. added value in maintaining dependence structures between precipitation temperature was not systematically reflected resulting as they generally outperformed methods. only emerged low-flow signatures snowmelt-driven catchments. Based these findings, identified most suitable water-resources management Nordic regions under changing climate, provided practical guidelines selection given specific research targets hydroclimatic regimes.

Language: Английский

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No support for using brown trout as an indicator species for ecological impacts of low flow in Swedish rivers

Environmental and Sustainability Indicators, Journal Year: 2024, Volume and Issue: 23, P. 100414 - 100414

Published: May 24, 2024

The impact of low flows on riverine ecology in Sweden is not fully understood. Recent summer droughts, along with their regionally projected increase, together demonstrate the need for a more solid foundation guiding ecologically responsible planning. Impact assessments can be made via indicator species sensitive to flow, if response flow conditions clearly understood, using example historical data abundance and flow. In Swedish rivers, there are extensive electrofishing special focus salmonids, predominantly brown trout Salmo trutta, which previously reported There also available national river flows, largely based simulations. We processed used these sets, information additional environmental factors. tested sites had less than median during year minimum winter or low-flow. Adverse impacts could shown only young-of-the-year trout. was small at most 57 % remaining having lower (compared 44 overall) lowest insubstantial effect means that as low-flow cannot supported by currently data. believe main causes effects limitations time resolution spatial data, followed ability escape seeking deeper habitats.

Language: Английский

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Analysis of coupling coordination structural characteristics of water-energy-food-ecosystems based on SNA model: A case study in the nine provinces along the Yellow River, China

Physics and Chemistry of the Earth Parts A/B/C, Journal Year: 2024, Volume and Issue: 135, P. 103654 - 103654

Published: June 5, 2024

Language: Английский

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Which droughts are becoming more frequent? A copula entropy analysis on the return period of droughts in Europe

Natural Hazards, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 1, 2024

Abstract Climate change and global warming have increased the frequency of extreme events, particularly over past decades. Changes in drought are not yet understood, especially regarding which features becoming more frequent (e.g., longer or high-magnitude droughts frequent, both?). In this study, we present a novel methodology to accurately consistently estimate changes return periods different types droughts. For purpose, implemented copula-entropy theory assess frequencies their changes. As an example application proposed method, used data from European Assessment Dataset (ECA&D), selected 26 stations Central Europe with 100 years low incidence missing days ( $$\le$$ ≤ 0.3%). The results new analysis indicate that there was high variability patterns across last century; however, most regions experienced increase medium-to-high intensity use is reliable method allows systematic monitoring easy updating current knowledge, computationally efficient statistically robust.

Language: Английский

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An introduction to data-driven modelling of the Water-Energy-Food-Ecosystem nexus

Environmental Modelling & Software, Journal Year: 2024, Volume and Issue: 181, P. 106182 - 106182

Published: Aug. 10, 2024

Attaining resource security in the water, energy, food, and ecosystem (WEFE) sectors, WEFE nexus, is paramount. This necessitates use of quantitative modelling, which presents many challenges, as this a complex system acting at intersection physical- social sciences. However, data becoming more widely available, data-driven methods modelling are increasingly viable. Here, we discuss two main problems nexus modelling: identification control. System uses Machine Learning algorithms to obtain dynamical models from have shown promise disciplines with similar characteristics nexus. Meanwhile, control manipulate achieve objectives instrumental shaping policy. Despite these algorithms, vast daunting field, so here provide an introductory overview emphasis on applications.

Language: Английский

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