Evaluating the reliability of open-source hydrodynamic models in flood inundation mapping: an exhaustive approach over a sensitive coastal catchment DOI
Dev Anand Thakur, Vijay Suryawanshi, H. Ramesh

и другие.

Elsevier eBooks, Год журнала: 2024, Номер unknown, С. 93 - 108

Опубликована: Ноя. 29, 2024

Язык: Английский

Ecosystem Health Assessment Based on the V-O-R-S Framework for the Upper Ganga Riverine Wetland in India DOI Creative Commons
Alka Yadav, Mitthan Lal Kansal, Aparajita Singh

и другие.

Environmental and Sustainability Indicators, Год журнала: 2025, Номер unknown, С. 100580 - 100580

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

2

How do storm surge disaster losses affect economic development?: Perspectives from disaster prevention and mitigation capacity DOI

Kedong Yin,

Yufeng Zhao,

Shiwei Zhou

и другие.

The Science of The Total Environment, Год журнала: 2024, Номер 951, С. 175526 - 175526

Опубликована: Авг. 17, 2024

Язык: Английский

Процитировано

5

Discerning the dynamics of urbanization-climate change-flood risk nexus in densely populated urban mega cities: An appraisal of efficient flood management through spatiotemporal and geostatistical rainfall analysis and hydrodynamic modeling DOI
Rahul Deopa, Dev Anand Thakur, Satish Kumar

и другие.

The Science of The Total Environment, Год журнала: 2024, Номер 952, С. 175882 - 175882

Опубликована: Авг. 30, 2024

Язык: Английский

Процитировано

5

Spatial and temporal variability of extreme rainfall events over Peninsular Malaysia DOI

Nur ‘Aliyah Alzian,

Sheeba Nettukandy Chenoli,

Mohd Fadzil Firdzaus Mohd Nor

и другие.

Hydrological Sciences Journal, Год журнала: 2025, Номер unknown, С. 1 - 19

Опубликована: Апрель 16, 2025

Язык: Английский

Процитировано

0

Seasonal Precipitation and Anomaly Analysis in Middle East Asian Countries Using Google Earth Engine DOI Open Access
Neyara Radwan, Bijay Halder, Minhaz Farid Ahmed

и другие.

Water, Год журнала: 2025, Номер 17(10), С. 1475 - 1475

Опубликована: Май 14, 2025

Middle East (ME) countries have arid and semi-arid climates with low annual precipitation considerable geographical temporal variability, which contribute to their extremely erratic rainfall. The generation of timely accurate climatic information for the ME is anticipated be aided by global reanalysis products satellite-based estimations. Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN) Climate Hazards Group Infra-Red (CHIRPS) on Google Earth Engine (GEE) were used study rainfall in eleven chosen counties 2000 2023. This shows that Saudi Arabia (509.64 mm/December–January–February; DJF), Iraq (211.50 mm/September–October–November; SON), Iran (306.35 mm/SON), Jordan (161.28 mm/DJF), Kuwait (44.66 mm), Syria (246.51 UAE–Qatar–Bahrain (28.62 Oman (64.90 mm/June–July–August; JJA), Yemen (240.27 mm/SON) highest Due improved ground station integration, CHIRPS also reports larger anomalies, a peak 59.15 mm DJF, mainly northern Iran, Iraq, Syria. PERSIANN understates heavy rainfall, probably because it relies infrared satellite data, maximum anomaly 4.15 mm. saw rain during JJA months, while others received less. More forecasts can lessen effects floods droughts, promoting environmental resilience regional economic stability. Therefore, more comprehensive understanding all relevant components necessary address these difficulties. Both human impacts must taken into account sustainable solutions.

Язык: Английский

Процитировано

0

Do disparities exist in flood risks during monsoon and post-monsoon seasons? comprehending diametric behaviors over coastal multi-hazard catchments DOI Creative Commons
Dev Anand Thakur, Mohit Prakash Mohanty

Environmental Research Letters, Год журнала: 2024, Номер 19(12), С. 124094 - 124094

Опубликована: Окт. 29, 2024

Abstract Global coastal catchments experience peculiar flood risk attributes due to the confluence of multiple drivers. In these regions, monsoon and post-monsoon seasons impose diverse risks that evoke meticulous research for prudent execution appropriate management options. For first time in literature, we develop an integrated approach quantify distinguishing nature during both seasons. We employ a sophisticated 1D–2D coupled model generate high-resolution hazards while considering compound interactions between rainfalls storm-tides. Flood vulnerability is mapped at finest administrative scale flood-susceptible physical socio-economic indicators. With concept Bivariate Risk Classifier, introduce two novel metrics: (a) area index (b) multi-hazard advance our understanding These incisive indices propound case-specific measures long-term resilience.

Язык: Английский

Процитировано

1

Compound risks of floods and droughts over multi-hazard catchments: Revealing association through hydrodynamic-cum-statistical modelling and novel bivariate risk classifier DOI
Mayank Tyagi,

Hrishikesh Singh,

Dev Anand Thakur

и другие.

The Science of The Total Environment, Год журнала: 2024, Номер 957, С. 177689 - 177689

Опубликована: Ноя. 26, 2024

Язык: Английский

Процитировано

1

Can Satellite Precipitation Products Comprehend Rainfall Extremes Over Disaster-Sensitive Mountainous Basins? An Exhaustive Inter-comparison and Assessment Over Nepal DOI
Raj Pal Singh, Dev Anand Thakur, Mohit Prakash Mohanty

и другие.

Earth Systems and Environment, Год журнала: 2024, Номер unknown

Опубликована: Дек. 20, 2024

Язык: Английский

Процитировано

1

Can Precipitation Intermittency Predict Flooding? DOI
Ben Livneh, Nels R. Bjarke, Parthkumar Modi

и другие.

Опубликована: Янв. 1, 2024

Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL DOI

Язык: Английский

Процитировано

0

Can precipitation intermittency predict flooding? DOI
Ben Livneh, Nels R. Bjarke, Parthkumar Modi

и другие.

The Science of The Total Environment, Год журнала: 2024, Номер 945, С. 173824 - 173824

Опубликована: Июнь 12, 2024

Язык: Английский

Процитировано

0