Causes, impacts and patterns of disastrous river floods

Nature Reviews Earth & Environment, Год журнала: 2021, Номер 2(9), С. 592 - 609

Опубликована: Авг. 10, 2021

Язык: Английский

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From local to regional compound flood mapping with deep learning and data fusion techniques

The Science of The Total Environment, Год журнала: 2021, Номер 782, С. 146927 - 146927

Опубликована: Апрель 6, 2021

Язык: Английский

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An Overview of Flood Concepts, Challenges, and Future Directions

Journal of Hydrologic Engineering, Год журнала: 2022, Номер 27(6)

Опубликована: Март 24, 2022

This review provides a broad overview of the current state flood research, challenges, and future directions. Beginning with discussion flood-generating mechanisms, synthesizes literature on forecasting, multivariate nonstationary frequency analysis, urban flooding, remote sensing floods. Challenges research directions are outlined highlight emerging topics where more work is needed to help mitigate risks. It anticipated that systems will likely have significant risk due compounding effects continued climate change land-use intensification. The timely prediction floods, quantification socioeconomic impacts developing mitigation strategies continue be challenging. There need bridge scales between model capabilities end-user needs by integrating multiscale models, stakeholder input, social citizen science input for monitoring, mapping, dissemination. Although much progress has been made in using applications, recent upcoming Earth Observations provide excellent potential unlock additional benefits applications. community can benefit from downscaled, as well ensemble scenarios consider changes. Efforts also data assimilation approaches, especially ingest local, citizen, media data. Also enhanced compound hazards assess reduce vulnerability impacts. dynamic complex interactions climate, societal change, watershed processes, human factors often confronted deep uncertainty highlights transdisciplinary science, policymakers, stakeholders vulnerability.

Язык: Английский

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Performance synergism of pervious pavement on stormwater management and urban heat island mitigation: A review of its benefits, key parameters, and co-benefits approach

Water Research, Год журнала: 2022, Номер 221, С. 118755 - 118755

Опубликована: Июнь 14, 2022

Язык: Английский

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Flood Detection in Urban Areas Using Satellite Imagery and Machine Learning

Water, Год журнала: 2022, Номер 14(7), С. 1140 - 1140

Опубликована: Апрель 1, 2022

Urban flooding poses risks to the safety of drivers and pedestrians, damages infrastructures lifelines. It is important accommodate cities local agencies with enhanced rapid flood detection skills tools better understand how much a region may experience at certain period time. This results in management orders being announced timely manner, allowing residents preemptively avoid flooded areas. research combines information received from ground observed data derived road closure reports police department, remotely sensed satellite imagery develop train machine-learning models for City San Diego, CA, USA. For this purpose, are extracted Sentinel 1 fed into various supervised unsupervised machine learning models, including Random Forest (RF), Support Vector Machine (SVM), Maximum Likelihood Classifier (MLC), detect pixels images evaluate performance these ML models. Moreover, new framework developed which works based on change (CD) approach Otsu algorithm, fuzzy rules, iso-clustering methods urban detection. Results evaluation RF, SVM, MLC CD show 0.53, 0.85, 0.75 0.81 precision measures, 0.9, 0.85 0.9 recall values, 0.67, 0.79 F1-score, 0.69, 0.87, 0.83 0.87 accuracy measure, respectively, each model. In conclusion, image classification method offers least required computational time mapping. systematic will be potentially useful other risk flooding, hopefully detecting nuisance floods, by using reducing transportation design infrastructure planning.

Язык: Английский

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A comprehensive review on pervious concrete

Construction and Building Materials, Год журнала: 2023, Номер 407, С. 133308 - 133308

Опубликована: Сен. 30, 2023

Язык: Английский

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Forecasting Multi-Step-Ahead Street-Scale nuisance flooding using seq2seq LSTM surrogate model for Real-Time applications in a Coastal-Urban city

Journal of Hydrology, Год журнала: 2025, Номер unknown, С. 132697 - 132697

Опубликована: Янв. 1, 2025

Язык: Английский

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Understanding of Contemporary Regional Sea‐Level Change and the Implications for the Future

Reviews of Geophysics, Год журнала: 2020, Номер 58(3)

Опубликована: Апрель 17, 2020

Abstract Global sea level provides an important indicator of the state warming climate, but changes in regional are most relevant for coastal communities around world. With improvements to sea‐level observing system, knowledge change has advanced dramatically recent years. Satellite measurements coupled with situ observations have allowed comprehensive study and improved understanding diverse set drivers that lead variations space time. Despite advances, gaps contemporary remain inhibit ability predict how processes may future change. These arise part due complexity linkages between Here we review individual which then describe they combine vary regionally. The intent paper is provide overview current cause identify discuss limitations uncertainty our these processes. Areas where lack or needed information planning efforts particular focus. Finally, a goal this highlight role expanded observation network—particularly as related satellite observations—in scientific contributors

Язык: Английский

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Learning from Floods: Linking flood experience and flood resilience

Journal of Environmental Management, Год журнала: 2020, Номер 271, С. 111025 - 111025

Опубликована: Июль 6, 2020

Язык: Английский

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Rapid increases and extreme months in projections of United States high-tide flooding

Nature Climate Change, Год журнала: 2021, Номер 11(7), С. 584 - 590

Опубликована: Июнь 21, 2021

Язык: Английский

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