Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Ganggang Zuo"'
Publikováno v:
Hydrology Research, Vol 55, Iss 6, Pp 646-662 (2024)
Human activities, particularly the regulation of hydropower stations, have profoundly altered river flow patterns. While studies have extensively assessed the impact of large or multi-year regulated hydropower stations on hydrological regimes using i
Externí odkaz:
https://doaj.org/article/fc4da62d10b440959c3066c38bee6b36
Publikováno v:
Hydrology Research, Vol 54, Iss 10, Pp 1267-1280 (2023)
Ecological flow is a restrictive condition set for human water consumption in water resources management to protect river ecosystems. However, uncertainties in hydrological conditions, changes in regulatory capacity, and temporal-spatial differences
Externí odkaz:
https://doaj.org/article/f3e3310242784d06a11c715582e1d5a6
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 50, Iss , Pp 101549- (2023)
Study region: Han River Basin, Shaanxi Province, China Study focus: Machine Learning (ML) has emerged as a promising panacea for precise runoff forecasting. However, the dearth of interpretability in ML models engenders apprehensions regarding their
Externí odkaz:
https://doaj.org/article/356c5dcde7e143f2bc62d8e73c11ef40
Publikováno v:
Water Supply, Vol 23, Iss 3, Pp 996-1009 (2023)
Scientific and effective water allocation schemes are crucial for managing water resources. Traditional allocation schemes are built on an annual basis and fixed. However, because of the drastic spatio-temporal fluctuations in the availability and de
Externí odkaz:
https://doaj.org/article/fd1a2596bcd34c4a8b954bc84771e744
Publikováno v:
Water Resources Management. 36:1661-1678
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a57b6cea4995705670b49ac7bfcd7df
https://doi.org/10.1007/s11269-022-03097-1
https://doi.org/10.1007/s11269-022-03097-1
Publikováno v:
Water Resources Management. 36:1159-1173
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e03e3b6101c8e12cc71b9913c494b0f
https://doi.org/10.1007/s11269-021-03037-5
https://doi.org/10.1007/s11269-021-03037-5
Publikováno v:
Water Resources Management. 36:21-37
Many previous studies have developed decomposition and ensemble models to improve runoff forecasting performance. However, these decomposition-based models usually introduce large decomposition errors into the modeling process. Since the variation in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8cb8d894a0d173e28f3fcdcc8049ff24
https://doi.org/10.1007/s11269-021-03002-2
https://doi.org/10.1007/s11269-021-03002-2
Objective: Abnormal transient receptor potential (TRP) channel function interferes with intracellular calcium-based signaling and causes malignant phenotypes. However, effects of TRP channel-related genes on hepatocellular carcinoma (HCC) remain unkn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21d21c9751182af21caacfd42b84dc79
https://doi.org/10.21203/rs.3.rs-2177604/v1
https://doi.org/10.21203/rs.3.rs-2177604/v1
Publikováno v:
Medicine. 102:e33228
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::58edf0208c9fc4391a2426c1c480fe7a
https://doi.org/10.1097/md.0000000000033228
https://doi.org/10.1097/md.0000000000033228
Publikováno v:
Water Resources Management. 34:865-884
Accurate and reliable monthly runoff forecasting is of great significance for water resource optimization and management. A neoteric hybrid model based on variational mode decomposition (VMD) and gradient boosting regression (GBRT) called VMD-GBRT wa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a04b001ae688a5d4c291c50c7daafc02
https://doi.org/10.1007/s11269-020-02483-x
https://doi.org/10.1007/s11269-020-02483-x