Deep learning methods for flood mapping: a review of existing applications and future research directions

Hydrology and earth system sciences, Journal Year: 2022, Volume and Issue: 26(16), P. 4345 - 4378

Published: Aug. 25, 2022

Abstract. Deep learning techniques have been increasingly used in flood management to overcome the limitations of accurate, yet slow, numerical models and improve results traditional methods for mapping. In this paper, we review 58 recent publications outline state art field, identify knowledge gaps, propose future research directions. The focuses on type deep various mapping applications, types considered, spatial scale studied events, data model development. show that based convolutional layers are usually more as they leverage inductive biases better process characteristics flooding events. Models fully connected layers, instead, provide accurate when coupled with other statistical models. showed increased accuracy compared approaches speed methods. While there exist several applications susceptibility, inundation, hazard mapping, work is needed understand how can assist real-time warning during an emergency it be employed estimate risk. A major challenge lies developing generalize unseen case studies. Furthermore, all reviewed their outputs deterministic, limited considerations uncertainties outcomes probabilistic predictions. authors argue these identified gaps addressed by exploiting fundamental advancements or taking inspiration from developments applied areas. graph neural networks operators arbitrarily structured thus should capable generalizing across different studies could account complex interactions natural built environment. Physics-based preserve underlying physical equations resulting reliable speed-up alternatives Similarly, resorting Gaussian processes Bayesian networks.

Language: Английский

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A survey of machine learning and deep learning in remote sensing of geological environment: Challenges, advances, and opportunities

ISPRS Journal of Photogrammetry and Remote Sensing, Journal Year: 2023, Volume and Issue: 202, P. 87 - 113

Published: June 13, 2023

Language: Английский

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Flood susceptibility mapping through geoinformatics and ensemble learning methods, with an emphasis on the AdaBoost-Decision Tree algorithm, in Mazandaran, Iran

Earth Science Informatics, Journal Year: 2024, Volume and Issue: 17(2), P. 1433 - 1457

Published: Jan. 15, 2024

Language: Английский

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Climatic and Other Global Changes as Current Challenges in Improving Water Systems Management: Lessons from the Case of Italy

Water Resources Management, Journal Year: 2023, Volume and Issue: 37(6-7), P. 2387 - 2402

Published: Jan. 31, 2023

Abstract Climate change linked to human activities is affecting natural systems, increasing frequency and severity of water-related hazards. The issue climate pushes tackle the expected risks in water sector through a comprehensive global view, with revision paradigms considered as drivers resources development. Based on evolution these Italy main characteristics an adaptive approach other changes are discussed relatively infrastructures, legislative institutional frameworks. objective adaptation strategies increase resilience emphasizing capability reducing both physical socio-political vulnerability, improving governance services. Starting from analysis management, priorities for coping future challenges reference reduction risk shortage due drought, mitigation flood risk, issues concerning water-food-energy nexus.

Language: Английский

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System Thinking for Sustainable Water Management: The Use of System Tools in Sustainability Transitions

Water Resources Management, Journal Year: 2024, Volume and Issue: 38(4), P. 1315 - 1337

Published: Feb. 3, 2024

Abstract Managing water resources to meet current social, economic, and environmental needs without compromising the ability those in future, requires managers look beyond jurisdictional boundaries their immediate supply operations, protect shared marine environments, ecosystems from pollution over-abstraction deliver structural changes resilient solutions make provision of services sustainable. With a plethora system tools increasingly available support sustainability transformation systems, sorting through breadth diversity determine what is useful not can be challenging. From selection 40 popular grouped terms how they function, we review most commonly used management 35 water-related studies literature. Findings demonstrate that are substitute for systems thinking applying them alone does qualify development systemic solutions. Systems offers powerful approach first improving collective understanding challenges related then, collaboration with diverse group stakeholders public, defining desired goals working together reality. System context play an important role facilitating process here propose overarching framework select apply facilitate holistic, integrated, interdisciplinary wider urban transitions.

Language: Английский

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Identifying suitable zones for integrated aquifer recharge and flood control in arid Qatar using GIS-based multi-criteria decision-making

Groundwater for Sustainable Development, Journal Year: 2024, Volume and Issue: 25, P. 101137 - 101137

Published: March 13, 2024

Groundwater resources in arid regions play a vital role meeting water demands; however, they are facing rapid depletion due to unsustainable exploitation practices, exacerbated by climate change. Floods can present unique opportunity for restoring groundwater levels and mitigating saltwater intrusion into aquifers. The use of properly managed floodwater aquifer recharge offers dual advantage maximizing the potential floods as valuable resource, while minimizing their negative impacts. In this work, we applied GIS-based Multi-Criteria Decision-Making (MCDM) method, namely Analytic Hierarchy Process (AHP), delineate flood susceptible zones Qatar, considering several influential topographical, hydrological, environmental, anthropological criteria. maps susceptibility were validated using recent flooding events existing wells data, respectively. Sensitivity analysis was conducted on both variables further assess accuracy. overlay two suggests that approximately 64% Qatar peninsula presents medium excellent suitability floodwater. areas best suited floodwater-based intervention northern coastal peninsula, urban southwestern area less suitable. This study provides decision-makers with spatially explicit information be targeted projects well recommendations technical, economic, regulatory considerations require additional investigation. approach employed effectively similar flood-prone is adaptable diverse contexts.

Language: Английский

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pyrepo-mcda — Reference objects based MCDA software package

SoftwareX, Journal Year: 2022, Volume and Issue: 19, P. 101107 - 101107

Published: May 27, 2022

Multi-Criteria Decision Analysis (MCDA) methods have gained popularity among practitioners and researchers in recent years. MCDA based on measuring the distance to reference objects are particularly noteworthy since their suitability for most decision problems, comparable straightforward use, interpretation, wide post-analytical possibilities. However, software implementations devoted domain show lack of solutions dedicated this family containing a sufficient number methods, providing additional metrics tools such as sensitivity analysis. Therefore, article presents Python 3 library that addresses gap. The research demonstrating functionalities proposed includes comparative analysis rankings provided by different implemented library, alternatives criteria weights modifications, robustness changes performance values. applicability is demonstrated two real-life numerical examples. first illustrative example involves recommendation renewable energy resources (RES) development focusing increasing significance RES. other evaluation material suppliers steel manufacturing company. Data both examples were acquired from papers. Based results, it can be concluded helpful process supporting solution multi-criteria implementation set provides opportunities search reliable alternative.

Language: Английский

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An application of Multi-Attribute Utility Theory (MAUT) to the prioritization of rural roads to improve rural accessibility in Nigeria

Socio-Economic Planning Sciences, Journal Year: 2022, Volume and Issue: 82, P. 101256 - 101256

Published: Feb. 5, 2022

Good quality rural road infrastructure seems to contribute substantially improvements in several socio-economic indicators areas: increases accessibility markets, educational and health facilities, stimulates economic activities. However, millions of people sub-Saharan Africa do not live proximity an all-season road. A robust process prioritizing roads for upgrade is needed ensure efficient allocation scarce resources a manner that will maximize key social amenities opportunities. This study uses Multi-Attribute Utility Theory (MAUT) examine how Akwa Ibom State, Nigeria may be prioritized access facilities. In our analysis, the are alternatives while decision criteria are: social, economic, demographic, financial, political. The MAUT preferred commonly-used Analytic Hierarchy Process (AHP) because number large. Geographic information system (GIS) techniques applied some data used performance matrix MAUT. We specify non-linear marginal utility functions criteria. Scenario analyses also carried out impact changes weights on score each alternative. identifies 10 yield highest benefits promote accessibility. Finally, recommends decision-makers adopt similar approach selecting upgrade, instead based political considerations.

Language: Английский

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Geospatial modelling of floods: a literature review

Stochastic Environmental Research and Risk Assessment, Journal Year: 2023, Volume and Issue: 37(11), P. 4109 - 4128

Published: July 10, 2023

Language: Английский

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Flood hazards and risk mapping using geospatial technologies in Jimma City, southwestern Ethiopia

Heliyon, Journal Year: 2023, Volume and Issue: 9(4), P. e14617 - e14617

Published: March 17, 2023

Cities in Ethiopia are suffering from unprecedented floods due to climate change and other anthropogenic activities. Failure include land use planning poorly designed urban drainage system aggravates the problem of flood. The integration geographic information system, multi-criteria evaluation (MCE) technique were used for flood hazards risk mapping. Five factors namely slope, elevation, density, cover, soil data Agrowing population increases victims during rainy season. Results revealed that about 25.16 24.38% study area is categorized under very high hazards, respectively. topographic nature hazards. increaseing number people living city has led conversion previously occupied green lands into residential areas risk. Flood mitigation measures such as better planning, public awareness creation on risks, delineation seasons, increasing greenery, strengthening river side development, watershed management catchment urgently required. findings this can provide a theoretical background prevention.

Language: Английский

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