Zobrazeno 1 - 10
of 1 319
pro vyhledávání: '"flood events"'
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 56, Iss , Pp 102066- (2024)
Study region: Xiangjiang River basin, is at the middle and lower Yangtze River. Study focus: Increasing evidence shows that large-scale climate indices are being linked to the spatio-temporal evolution of extreme flood events in many regions. It is w
Externí odkaz:
https://doaj.org/article/2436e9db15634d6bb62068caff25b3a4
Autor:
Assane Ndiaye, Joël Arnault, Mamadou Lamine Mbaye, Souleymane Sy, Moctar Camara, Agnidé Emmanuel Lawin, Harald Kunstmann
Publikováno v:
Frontiers in Water, Vol 6 (2024)
The increase in flood events observed in West African countries, and often in specific river basins, can be influenced by several factors, including anthropogenic land use and land-cover changes. However, the potential contribution of land cover chan
Externí odkaz:
https://doaj.org/article/72f63d2012174587927672778593825c
Publikováno v:
Weather and Climate Extremes, Vol 45, Iss , Pp 100705- (2024)
The Canadian province of British Columbia (BC) is subjected to large-scale, destructive floods. The most dramatic was a mid-November 2021 event when atmospheric rivers (ARs) linked to high-intensity storms caused heavy rainfall in southwestern BC, tr
Externí odkaz:
https://doaj.org/article/9441edcdf1a948458a8c5d0464cd0c32
Publikováno v:
GeoHazards, Vol 5, Iss 1, Pp 176-191 (2024)
Given the changing climate, understanding the recent variability in large-scale rainfall patterns is a crucial task in order to better understand the underlying hydrological processes that occur within a watershed. This study aims to investigate how
Externí odkaz:
https://doaj.org/article/725f36fc913447cfbe9b1d89b6b43357
Publikováno v:
Journal of Hydroinformatics, Vol 26, Iss 2, Pp 459-479 (2024)
Developing countries face significant challenges in accessing sufficient and reliable hydro-meteorological data, hindering the implementation of effective disaster management strategies. This research proposes solutions for limitations on performing
Externí odkaz:
https://doaj.org/article/d03d90c8eaf341e0bd94061a7960ac89
Autor:
Letizia Cremonini, Pierluigi Randi, Massimiliano Fazzini, Marianna Nardino, Federica Rossi, Teodoro Georgiadis
Publikováno v:
Land, Vol 13, Iss 11, p 1800 (2024)
On 1–3 May 2023, severe hydro-meteorological events occurred in the Italian Emilia-Romagna region. Such events caused extensive flooding, landslides, isolation of many areas, evacuation of many families, and severe damage to infrastructure, agricul
Externí odkaz:
https://doaj.org/article/ed33d31a594d462aad7135e4ab9052f9
Autor:
Gaurav Pakhale, Jyoti Nale
Publikováno v:
Water Policy, Vol 25, Iss 12, Pp 1175-1186 (2023)
Floods are a recurrent natural phenomenon in India, including perennial occurrences in some parts of the country. Progressively, floods are transformed into flood hazards because of the anthropogenic activities in the flood plains and adjoining catch
Externí odkaz:
https://doaj.org/article/2345f20c7da047af8bdd7702d566b9af
Autor:
Md. Ziaul Islam, Chao Wang
Publikováno v:
Ecological Indicators, Vol 160, Iss , Pp 111944- (2024)
The extent of flooding in China is more significant than in any other country. Our research reveals that approximately 66 % of China’s landmass is submerged by flooding, affecting about 50 % of the population. Furthermore, the financial toll of flo
Externí odkaz:
https://doaj.org/article/be929d7e30234f1181e7b75854f19410
Assessing satellite and reanalysis-based precipitation products in cold and arid mountainous regions
Autor:
Yaru Yang, Wenzheng Ji, Liting Niu, Zhaojun Zheng, Weidong Huang, Changshun Zhang, Xiaohua Hao, Jianshe Xiao, Hongyi Li
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 51, Iss , Pp 101612- (2024)
Study region: The Xiying and Heihe River basins, cold and arid mountainous regions of northwestern China. Study focus: In data-limited areas of Northwestern China, satellite- and reanalysis-based precipitation products provide crucial assistance. How
Externí odkaz:
https://doaj.org/article/b344a72bfd944927b95dc834a9ac0f3a