Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Chenkai Cai"'
Autor:
Chenkai Cai, Caijie Yang, Xuan Lu, Yan Chen, Jinhua Wen, Jing Wang, Ruotong Wang, Zupeng Zhang, Xinyi Shen
Publikováno v:
Water Resources and Industry, Vol 32, Iss , Pp 100270- (2024)
Regional water consumption is closely linked to socioeconomic development trends; however, studies that analyze and evaluate socioeconomic development trends based on water consumption data are lacking. This study established a new general index, the
Externí odkaz:
https://doaj.org/article/e35689eff7b64257bdbc426c9e8009a3
Publikováno v:
Water, Vol 16, Iss 10, p 1426 (2024)
Drought is one of the most frequent types of natural disasters in the world, and it has been classified into several different categories. Generally, meteorological drought is considered to be the beginning of a drought disaster, while socio-economic
Externí odkaz:
https://doaj.org/article/1c16ec6d76064dd4afcc1b8da75fdc6c
Publikováno v:
Water, Vol 16, Iss 4, p 579 (2024)
Ecological droughts in rivers, as a new type of drought, have been greatly discussed in the past decade. Although various studies have been conducted to identify and evaluate ecological droughts in rivers from different indices, a forecast model for
Externí odkaz:
https://doaj.org/article/9286a4afa335410eaf9305ad188e0222
Autor:
Shujun Wu, Zengchuan Dong, Chenkai Cai, Shengnan Zhu, Yiqing Shao, Jinyu Meng, Grace Efua Amponsah
Publikováno v:
Water, Vol 15, Iss 11, p 1990 (2023)
Global climate change and human activities have exacerbated droughts’ environmental and socioeconomic threats. However, there is still a lack of effective techniques to consider their combined impacts on drought identification. Therefore, a new cop
Externí odkaz:
https://doaj.org/article/1aa225cd184a413b8b0b1f3b7dd11bc8
Publikováno v:
Water, Vol 14, Iss 19, p 3072 (2022)
With the rapid development of meteorological models, numerical weather prediction is increasingly used in flood forecasting and reservoir regulation, but its forecasting ability is limited by the large amount of uncertainty from meteorological system
Externí odkaz:
https://doaj.org/article/9c3f58a24c264ac0a7a86714540e2407
Autor:
Jinhua Wen, Yian Hua, Chenkai Cai, Shiwu Wang, Helong Wang, Xinyan Zhou, Jian Huang, Jianqun Wang
Publikováno v:
Sustainability
Volume 15
Issue 4
Pages: 3865
Volume 15
Issue 4
Pages: 3865
In recent years, flash droughts with a rapid onset and strong intensity have attracted extensive attention due to their impact on agriculture and ecosystems. However, there is still no feasible method for flash drought forecasting and early warning.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9130a677827e023d9f41807c30a885b2
Publikováno v:
Advances in Meteorology, Vol 2018 (2018)
Recently, the use of the numerical rainfall forecast has become a common approach to improve the lead time of streamflow forecasts for flood control and reservoir regulation. The control forecasts of five operational global prediction systems from di
Externí odkaz:
https://doaj.org/article/0ae0c3c5d3fe43efbb81b73fc00dead4
Publikováno v:
Science of The Total Environment
The Science of the Total Environment
The Science of the Total Environment
We model the impact of restricting socioeconomic activities (SA) on the transmission of COVID-19 globally. Countries initiate public health measures to slow virus transmission, ranging from stringent quarantines including city lockdown to simpler soc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7ce3181fc8e1e806fac9d3114d91fdc
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5497a5b041dcbd529f07aed7cb88d27
https://doi.org/10.2139/ssrn.3616014
https://doi.org/10.2139/ssrn.3616014
Publikováno v:
Science of The Total Environment
Flooding displaces large populations each season, which potentially increases the exposure of the vulnerable societies. Having failed to curve down the number of people infected with COVID-19 in the first wave of the pandemic, many states in the Unit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc572c4bfa42038b6b8526cbfd6db6fe
https://doi.org/10.1016/j.scitotenv.2020.142634
https://doi.org/10.1016/j.scitotenv.2020.142634