Driving Forces and Socio-Economic Impacts of Low-Flow Events in Central Europe: A Literature Review Using DPSIR Criteria DOI Open Access

Lukas Folkens,

Daniel Bachmann, Petra Schneider

и другие.

Sustainability, Год журнала: 2023, Номер 15(13), С. 10692 - 10692

Опубликована: Июль 6, 2023

Recent drought events in Europe have highlighted the impact of hydrological and low-flow on society, ecosystems, economy. While there are numerous publications about flood risk management socio-economic consequences floods, these hardly been systematically dealt with scientific literature regarding low flows. This paper fills this gap by summarizing current state research form a systematic review combining criteria drivers–pressures–state–impacts–responses (DPSIR) framework propositional inventory method. In particular, driving forces events, their pressures, impacts different economic sectors such as navigation, fisheries, industry, agriculture, forestry, energy, tourism recreation well resulting competitive usage claims for water responses presented validated through expert interviews. doing so, study examines causal chain serves fundamental base future development damage cost database preparing data parameterization.

Язык: Английский

Collaborative Management of Water‐Energy‐Food‐Ecosystems Nexus in Central Asia Under Uncertainty DOI Creative Commons
Yuan Ma, Yongping Li, Guohe Huang

и другие.

Water Resources Research, Год журнала: 2024, Номер 60(3)

Опубликована: Март 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.

Язык: Английский

Процитировано

5

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 DOI
Zhang Lin,

Xiaohui Jiang,

Yuehong Li

и другие.

Physics and Chemistry of the Earth Parts A/B/C, Год журнала: 2024, Номер 135, С. 103654 - 103654

Опубликована: Июнь 5, 2024

Язык: Английский

Процитировано

5

An introduction to data-driven modelling of the Water-Energy-Food-Ecosystem nexus DOI Creative Commons
Elise Jonsson, Andrijana Todorović, Małgorzata Blicharska

и другие.

Environmental Modelling & Software, Год журнала: 2024, Номер 181, С. 106182 - 106182

Опубликована: Авг. 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.

Язык: Английский

Процитировано

5

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 DOI Creative Commons
Faranak Tootoonchi, Andrijana Todorović, Thomas Grabs

и другие.

Journal of Hydrology, Год журнала: 2023, Номер 623, С. 129807 - 129807

Опубликована: Июнь 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.

Язык: Английский

Процитировано

11

Ecological drought evolution characteristics under different climatic regions in the Yangtze River basin DOI
Lu Zhang, Jianxia Chang, Aijun Guo

и другие.

Journal of Hydrology, Год журнала: 2023, Номер 629, С. 130573 - 130573

Опубликована: Дек. 8, 2023

Язык: Английский

Процитировано

11

Which droughts are becoming more frequent? A copula entropy analysis on the return period of droughts in Europe DOI Creative Commons
Pedro Henrique Lima Alencar, Eva Nora Paton

Natural Hazards, Год журнала: 2024, Номер unknown

Опубликована: Авг. 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.

Язык: Английский

Процитировано

4

Causal Loop Diagrams for bridging the gap between Water-Energy-Food-Ecosystem Nexus thinking and Nexus doing: Evidence from two case studies DOI Creative Commons
Raffaele Giordano,

Anna Osann,

Esteban Henao

и другие.

Journal of Hydrology, Год журнала: 2024, Номер unknown, С. 132571 - 132571

Опубликована: Дек. 1, 2024

Язык: Английский

Процитировано

4

No support for using brown trout as an indicator species for ecological impacts of low flow in Swedish rivers DOI Creative Commons
Maria Elenius,

Emir Uzeirbegovic,

Joacim Näslund

и другие.

Environmental and Sustainability Indicators, Год журнала: 2024, Номер 23, С. 100414 - 100414

Опубликована: Май 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.

Язык: Английский

Процитировано

3

Evaluating Performances of LSTM, SVM, GPR, and RF for Drought Prediction in Norway: A Wavelet Decomposition Approach on Regional Forecasting DOI Open Access
Sertaç Oruç, Mehmet Ali Hınıs, Türker Tuğrul

и другие.

Water, Год журнала: 2024, Номер 16(23), С. 3465 - 3465

Опубликована: Дек. 2, 2024

A serious natural disaster that poses a threat to people and their living spaces is drought, which difficult notice at first can quickly spread wide areas through subtle progression. Numerous methods are being explored identify, prevent, mitigate distinct metrics have been developed. In order contribute the research on measures be taken against Standard Precipitation Evaporation Index (SPEI), one of drought indices has developed accepted in recent years includes more comprehensive definition, was chosen this study. Machine learning deep algorithms, including support vector machine (SVM), random forest (RF), long short-term memory (LSTM), Gaussian process regression (GPR), were used model droughts six regions Norway: Bodø, Karasjok, Oslo, Tromsø, Trondheim, Vadsø. Four architectures employed for goal, as novel approach, models’ output enhanced by using discrete wavelet decomposition/transformation (WT). The outputs evaluated correlation coefficient (r), Nash–Sutcliffe efficiency (NSE), root mean square error (RMSE) performance evaluation criteria. When findings analyzed, GPR (W-GPR), acquired after WT, typically produced best results. Furthermore, it discovered that, out all recognized models, M04 had most effective structure. Consequently, successful outcomes obtained with W-SVM-M04 Bodø W-GPR-M04 Oslo region results across (r: 0.9983, NSE: 0.9966 RMSE:0.0539).

Язык: Английский

Процитировано

3

Unlocking Potential: A Holistic Approach to Water, Energy, and Food Security Nexus in Tangier-Tetouan-Al Hoceima, Morocco DOI Creative Commons
Ghizlane El Majdoubi,

Houda El Ayadi

Case Studies in Chemical and Environmental Engineering, Год журнала: 2025, Номер unknown, С. 101129 - 101129

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0