Zobrazeno 1 - 10
of 99
pro vyhledávání: '"Jingqiao Mao"'
Publikováno v:
Water, Vol 15, Iss 20, p 3644 (2023)
The Jinsha River basin (JRB), known as China’s largest hydropower base, has been facing a surge in hydrological drought occurrences in the past several years. This study used the drought index model and soil and water assessment tool (SWAT) hydrolo
Externí odkaz:
https://doaj.org/article/24f74ccbe1194db79478df92faa0db59
Publikováno v:
Remote Sensing, Vol 15, Iss 17, p 4238 (2023)
The trophic state is an important factor reflecting the health state of lake ecosystems. To accurately assess the trophic state of large lakes, an integrated framework was developed by combining remote sensing data, field monitoring data, machine lea
Externí odkaz:
https://doaj.org/article/bb5df9559fcd41479e7a306e7ce46f98
The Impact of the Three Gorges Reservoir on Water Exchange Between the Yangtze River and Poyang Lake
Publikováno v:
Frontiers in Earth Science, Vol 10 (2022)
The Three Gorges Reservoir (TGR) operation has profoundly altered the hydrological regimes and ecosystem in the middle and lower Yangtze River basin. Its impacts on the river flow regime, sedimentation, lake level decline, and biodiversity have been
Externí odkaz:
https://doaj.org/article/31cd371dfa08476b824502dbe760b4ec
Publikováno v:
Hydrology Research, Vol 51, Iss 1, Pp 30-46 (2020)
The hydrological response is changeable for catchments with hydro-meteorological variations, which is neglected by the traditional calibration approach through using time-invariant parameters. This study aims to reproduce the variation of hydrologica
Externí odkaz:
https://doaj.org/article/8a410fcda4dd4642a7334d93e791376c
Publikováno v:
Environmental Research Letters, Vol 18, Iss 11, p 114025 (2023)
Dam construction hinders the transport process of water constituents, resulting in various water quality issues in reservoir areas that impede the sustainable development of hydropower. Conventional reservoir operation optimizations to address these
Externí odkaz:
https://doaj.org/article/a2798f6cc21742d38bd5773bb609bb81
Publikováno v:
Water, Vol 14, Iss 22, p 3718 (2022)
Data-driven models are widely used in the field of water level prediction due to their generalizability and predictive abilities. In long-series prediction, however, data-driven models degrade rapidly due to the uncertainty and constraints of model d
Externí odkaz:
https://doaj.org/article/d7c8c9f2ce374b1facac6a475eb23eb9
Autor:
Yanhong Chen, Yang Lu, Shutan Yang, Jingqiao Mao, Yiqing Gong, Wada Idris Muhammad, Sidian Yin
Publikováno v:
Water, Vol 14, Iss 19, p 3158 (2022)
Spur dikes provide significant control for flow regimes in river regulation engineering, which can help in the regeneration of stream habitats. However, the narrowing of the flow by spur dike changes the turbulence characteristics. To clarify the tur
Externí odkaz:
https://doaj.org/article/4c11a0d7b8874e1691bdc77fbbb9b26b
Autor:
Wenqin Huang, Tengfei Hu, Jingqiao Mao, Carsten Montzka, Roland Bol, Songxian Wan, Jianxin Li, Jin Yue, Huichao Dai
Publikováno v:
Remote Sensing, Vol 14, Iss 19, p 4870 (2022)
Hydrological processes are known as major driving forces in structuring wetland plant communities, but the specific relationships are not always well understood. The recent dry conditions of Poyang Lake (i.e., the largest freshwater lake in China) ar
Externí odkaz:
https://doaj.org/article/3450331f8edc4d598e6d58981c56abe1
Publikováno v:
Lake and Reservoir Management. 39:72-87
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1cdb7dcafdb640ca2f60abe7e1692e35
https://doi.org/10.1080/10402381.2022.2137071
https://doi.org/10.1080/10402381.2022.2137071
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 29, Iss , Pp - (2020)
Study region: The Poyang Lake basin at the Yangtze River, China. Study focus: Impacts of multi-purpose reservoirs on runoff are investigated through the lens of spatio-temporal shifts in runoff coefficients (RC) before and after reservoir constructio
Externí odkaz:
https://doaj.org/article/c0a12482fc5b42a69e5115ad968e98d8