Application of Machine Learning in Water Resources Management: A Systematic Literature Review

Water, Год журнала: 2023, Номер 15(4), С. 620 - 620

Опубликована: Фев. 5, 2023

In accordance with the rapid proliferation of machine learning (ML) and data management, ML applications have evolved to encompass all engineering disciplines. Owing importance world’s water supply throughout rest this century, much research has been concentrated on application strategies integrated resources management (WRM). Thus, a thorough well-organized review that is required. To accommodate underlying knowledge interests both artificial intelligence (AI) unresolved issues in WRM, overview divides core fundamentals, major applications, ongoing into two sections. First, basic are categorized three main groups, prediction, clustering, reinforcement learning. Moreover, literature organized each field according new perspectives, patterns indicated so attention can be directed toward where headed. second part, less investigated WRM addressed provide grounds for future studies. The widespread tools projected accelerate formation sustainable plans over next decade.

Язык: Английский

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Adaptability analysis of water pollution and advanced industrial structure in Jiangsu Province, China

Ecological Modelling, Год журнала: 2023, Номер 481, С. 110365 - 110365

Опубликована: Март 23, 2023

Язык: Английский

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Review article: Drought as a continuum: memory effects in interlinked hydrological, ecological, and social systems

Опубликована: Фев. 20, 2024

Abstract. Droughts are often long lasting phenomena, without a distinct start or end, and with impacts cascading across sectors systems, creating long-term legacies. Nevertheless, our current perception management of droughts their is event-based, which can limit the effective assessment drought risks reduction impacts. Here, we advocate for changing this perspective viewing as hydro-eco-social continuum. We take systems theory focus on how “memory” causes feedback interactions between parts interconnected at different time scales. first discuss characteristics continuum hydrological, ecological, social separately; then study system systems. Our analysis based review literature five cases: Chile, Colorado River Basin in US, Northeast Brazil, Kenya, Rhine Northwest Europe. find that memories past dry wet periods, carried by both bio-physical (e.g. groundwater, vegetation) people, governance), influence future risk manifests. identify four archetypes dynamics: Impact & recovery; Slow resilience-building; Gradual collapse; High resilience, big shock. The ecological result shifting these types, plays out differently case studies. call more research pre-conditions recovery dynamics triggering changes, dynamic vulnerability maladaptation. Additionally, argue continuous monitoring hazards impacts, modelling tools better incorporate adaptation responses, strategies increase institutional memory to deal complex pathways adaptation.

Язык: Английский

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Leveraging ICESat, ICESat‐2, and Landsat for Global‐Scale, Multi‐Decadal Reconstruction of Lake Water Levels

Water Resources Research, Год журнала: 2024, Номер 60(2)

Опубликована: Фев. 1, 2024

Abstract Lakes provide important water resources and many essential ecosystem services. Some of Earth's largest lakes recently reached record‐low levels, suggesting increasing threats from climate change anthropogenic activities. Yet, continuous monitoring lake levels is challenging at a global scale due to the sparse in situ gauging network limited spatial or temporal coverage satellite altimeters. A few pioneering studies used areas hypsometric curves reconstruct but suffered large uncertainties lack high‐quality hypsometry data. Here, we propose novel proxy‐based method multi‐decadal 1992 2018 for both small using Landsat images ICESat (2003–2009) launched ICESat‐2 (2018+) laser Using new method, evaluate reconstructed 342 worldwide, with sizes ranging 1 81,844 km 2 . Reconstructed have median root‐mean‐square error (RMSE) 0.66 m, equivalent 57% standard deviation monthly level variability. Compared two data sets, proposed reduces RMSE by 27%–32%. The improvement attributable method's robust construction hypsometry, R value 0.92. Most time series bi‐monthly higher frequency. Given that can observe hundreds thousands bodies, this be applied conduct an improved inventory time‐varying thus inform resource management more broadly than existing methods.

Язык: Английский

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Agent-Based Modeling in Water Science: From Macroscale to Microscale

ACS ES&T Water, Год журнала: 2024, Номер 4(4), С. 1206 - 1219

Опубликована: Фев. 19, 2024

Agent-based modeling (ABM) has been widely applied in water science, covering a wide range of research topics, from evaluating the efficiency management strategies at macroscale to simulating microbial and algal colony reactions microscale. The capability ABM for how system performance is affected by individuals' behaviors makes it an ideal tool representing complex adaptive systems real world. This paper provides comprehensive review application science identifies current common problems. Several potential solutions problems were discussed, including (1) employing standard methods validation, (2) adopting ODD (Overview, Design, Details) protocol ODD+D (ODD + Decision) enhance readability reproducibility model, (3) applying scaling-down approach superindividual reduce model complexity facilitate computational efficiency.

Язык: Английский

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Exploring the food-energy-water nexus in coupled natural-human systems under climate change with a fully integrated agent-based modeling framework

Journal of Hydrology, Год журнала: 2024, Номер 634, С. 131048 - 131048

Опубликована: Март 11, 2024

Язык: Английский

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Agent-based modeling for demand management of reservoirs considering social and hydrological interactions under uncertainty

Journal of Environmental Management, Год журнала: 2025, Номер 380, С. 125089 - 125089

Опубликована: Март 30, 2025

Язык: Английский

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Opportunities for Water Reuse Implementation in Metropolitan Areas in a Complex Approach with an LCA Analysis, Taking Warsaw, Poland as an Example

Sustainability, Год журнала: 2023, Номер 15(2), С. 1190 - 1190

Опубликована: Янв. 9, 2023

Water shortages are currently becoming a more global than local issue. This paper aims to demonstrate complex, universal urban water reuse system, allowing for reduction of freshwater withdrawal. Opportunities improvement were analyzed in the categories municipal services: power and heat production, greenery irrigation, landscaping, street public transport fleet cleaning. Technical possibilities coupled with current international legislative requirements. Two scenarios universal, complex systems area evaluated, including all essential city services. Results case study show that ozonation filtration treated wastewater should be sufficient obtain desired quality purposes. Current legislation mainly addresses agricultural reuse, so their requirements adjusted assess needed other applications. When is used spaces, constant monitoring presence pathogens maintained due risk human exposure. A life cycle assessment was conducted evaluate environmental impacts associated topic transportation areas, which infrequently considered such studies. different means compared. It shown daily operation, it necessary build an independent network, since impact delivery by tank lorries increases substantially.

Язык: Английский

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Evaluation of Future-Integrated Urban Water Management Using a Risk and Decision Analysis Framework: A Case Study in Denver–Colorado Metro Area (DCMA)

Water, Год журнала: 2023, Номер 15(22), С. 4020 - 4020

Опубликована: Ноя. 20, 2023

This study examines the DCMA concerning future risk of water security status. We considered three factors: population growth, economic and natural supply–demand differences. In analysis part, we consulted with experts from several sectors including academia, Non-Governmental Organizations (NGOs), industry, to predict that probability stresses in high-, medium-, low-risk scenarios are 0.73, 0.24, 0.03, respectively. decision adopted two multiple criteria (MCDA) approaches include attribute value theory (MAVT) analytic hierarchy process (AHP) methods evaluate best alternative alleviate DCMA. The sensitivity demonstrates that, although expanding existing reservation might be a solution tackle challenge, option really closely connects weighting scheme framework. provides valuable framework analyze status associated supply demand gap decrease caused by climate change, supply.

Язык: Английский

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Estimating catchment‐scale sediment storage in a large River Basin, Colorado River, USA

River Research and Applications, Год журнала: 2024, Номер 40(7), С. 1379 - 1392

Опубликована: Май 5, 2024

Abstract Catchment‐scale sediment storage is conceptualized as increasing in magnitude downstream, although reach‐scale controls may override this trend. We use empirical data from a literature review and two numerical models to quantitatively estimate across the Colorado River Basin, USA. assumed alluvial thickness with floodplains delineated GFPLAIN model 30 m digital elevation models. SWAT+ based on model‐estimated (i) groundwater (ii) storage. Existing studies indicate that stored low terraces ~0.3–6 thick. A first‐order approximation of volumetric capacity for natural ~10 5 3 per km. Sediment volumes are 8 –10 11 over river lengths 10 1 m. For modeling estimates, we evaluated by stream order band within Upper Lower Basins. Comparisons among outputs cause us place more confidence aquifer volume estimates. Each method includes substantial uncertainty constitutes approximation. Results suggest using 21 130 billion cubic meters approximate lower upper bounds total Basin 314 482 Basin. The largest proportion montane steppe zones Sonoran zone

Язык: Английский

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