Zobrazeno 1 - 10
of 164
pro vyhledávání: '"Hongchang Hu"'
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 53, Iss , Pp 101795- (2024)
Study region: Lhasa River Basin Study focus: Multi-century records are needed to characterize flow variability including the magnitude and frequency of occurrence of extreme events. Such long records are not available without integrating well-calibra
Externí odkaz:
https://doaj.org/article/c46312f4f59f4060aaf5efa0e0f44b81
Publikováno v:
Humanities & Social Sciences Communications, Vol 10, Iss 1, Pp 1-12 (2023)
Abstract The transition of a country or a whole society to sustainability is a long-term goal that involves a society’s willingness to carry out such a change and the governance structure to support it. Understanding the role of the governance stru
Externí odkaz:
https://doaj.org/article/5e8ab9ced61e4b2c9b8c45ee2525978b
Autor:
Tong Cui, Yukun Li, Long Yang, Yi Nan, Kunbiao Li, Mahmut Tudaji, Hongchang Hu, Di Long, Muhammad Shahid, Ammara Mubeen, Zhihua He, Bin Yong, Hui Lu, Chao Li, Guangheng Ni, Chunhong Hu, Fuqiang Tian
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-9 (2023)
This study discovered non-monotonic variations in river flows for seven rivers originating from the Tibetan Plateau at warming levels of 1.5 °C, 2.0 °C, and 3.0 °C, which then resulted in different consequences for riparian countries
Externí odkaz:
https://doaj.org/article/893f5a74a38b419eb4914c7867c3fa07
Autor:
Hong Yan, Hongchang Hu, Yaping Liu, Mahmut Tudaji, Ting Yang, Zhongwang Wei, Lajiao Chen, Mohd Yawar Ali Khan, Zhenghao Chen
Publikováno v:
Hydrology Research, Vol 53, Iss 5, Pp 782-794 (2022)
Baseflow recession is an essential part of the hydrological cycle, as it transfers unconfined aquifer storage to runoff. This study derived the parameterization of the baseflow recession from recession curves extracted from 382 catchments in China. T
Externí odkaz:
https://doaj.org/article/ed84730669e34f548fda3f1cd3ff6069
Publikováno v:
Agronomy, Vol 13, Iss 6, p 1504 (2023)
Climate change has had a strong impact on grain production in the Lower Lancang–Mekong River Basin (LMB). Studies have explored the response of LMB rice yield to climate change, but most of them were based on climate projection data before CMIP6 (C
Externí odkaz:
https://doaj.org/article/dc6c4c3a90ea41e483350fe5bbbd9cd3
Publikováno v:
Tropical Cyclone Research and Review, Vol 9, Iss 4, Pp 187-192 (2020)
The currently used hydrological forecast system in China is mainly focused on flood, and the flood forecasting frameworks are typically based on point discharge measurements and predictions at discrete locations, hence they can't provide spatio-tempo
Externí odkaz:
https://doaj.org/article/48c1035965f6462693ce2972bb0c48ca
Autor:
Zhiqiang Dong, Hongchang Hu, Zhongwang Wei, Yaping Liu, Hanlin Xu, Hong Yan, Lajiao Chen, Haoqian Li, Mohd Yawar Ali Khan
Publikováno v:
Frontiers in Earth Science, Vol 10 (2022)
Background and Aims: Evapotranspiration is an important part of the water cycle and energy cycle. However, even under the same climatic condition, there are spatial differences in actual evapotranspiration (ETa) due to different land use and land cov
Externí odkaz:
https://doaj.org/article/3894b6a5523a4af09110a9cb03480e33
Publikováno v:
Frontiers in Environmental Science, Vol 9 (2021)
Accurate estimation of water table depth dynamics is essential for water resource management, especially in areas where groundwater is overexploited. In recent years, as a data-driven model, artificial neural networks (NNs) have been widely used in h
Externí odkaz:
https://doaj.org/article/e1a5258f86d142f4be6def6e4f4a910b
Publikováno v:
Discrete Dynamics in Nature and Society, Vol 2021 (2021)
We consider a series of independent observations from a P-norm distribution with the position parameter μ and the scale parameter σ. We test the simple hypothesis H0:σ=σ1 versus H1: σ=σ2. Firstly, we give the stop rule and decision rule of sequ
Externí odkaz:
https://doaj.org/article/6e9746ff9c664be7b991602eebc6a5f2
Autor:
Hongchang Hu
Publikováno v:
Journal of Inequalities and Applications, Vol 2018, Iss 1, Pp 1-32 (2018)
Abstract Consider the linear regression model yi=xiTβ+ei,i=1,2,…,n, $$y_{i}=x_{i}^{T}\beta+e_{i},\quad i=1,2, \ldots,n, $$ where ei=g(…,εi−1,εi) $e_{i}=g(\ldots,\varepsilon_{i-1},\varepsilon_{i})$ are general dependence errors. The Bahadur r
Externí odkaz:
https://doaj.org/article/86653a311af842b58c083ea6fae9547f