Elsevier eBooks, Год журнала: 2024, Номер unknown, С. 93 - 108
Опубликована: Ноя. 29, 2024
Язык: Английский
Elsevier eBooks, Год журнала: 2024, Номер unknown, С. 93 - 108
Опубликована: Ноя. 29, 2024
Язык: Английский
Environmental and Sustainability Indicators, Год журнала: 2025, Номер unknown, С. 100580 - 100580
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
2The Science of The Total Environment, Год журнала: 2024, Номер 951, С. 175526 - 175526
Опубликована: Авг. 17, 2024
Язык: Английский
Процитировано
5The Science of The Total Environment, Год журнала: 2024, Номер 952, С. 175882 - 175882
Опубликована: Авг. 30, 2024
Язык: Английский
Процитировано
5Hydrological Sciences Journal, Год журнала: 2025, Номер unknown, С. 1 - 19
Опубликована: Апрель 16, 2025
Язык: Английский
Процитировано
0Water, 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
0Environmental 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
1The Science of The Total Environment, Год журнала: 2024, Номер 957, С. 177689 - 177689
Опубликована: Ноя. 26, 2024
Язык: Английский
Процитировано
1Earth Systems and Environment, Год журнала: 2024, Номер unknown
Опубликована: Дек. 20, 2024
Язык: Английский
Процитировано
1Опубликована: 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
0The Science of The Total Environment, Год журнала: 2024, Номер 945, С. 173824 - 173824
Опубликована: Июнь 12, 2024
Язык: Английский
Процитировано
0