Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Panli Cai"'
Autor:
Panli Cai, Runkui Li, Jingxian Guo, Zhen Xiao, Haiyu Fu, Tongze Guo, Tianyi Wang, Xiaoping Zhang, Xianfeng Song
Publikováno v:
Ecological Indicators, Vol 166, Iss , Pp 112372- (2024)
Groundwater serves as an important resource for human sustenance and advancement. However, its depletion has emerged as a pressing concern in Central China accompanying with rapid urbanization. To counteract the acute water scarcity, China initiated
Externí odkaz:
https://doaj.org/article/a77aea85232b422bbe67db0b8a3af482
Autor:
Panli Cai, Jingxian Guo, Runkui Li, Zhen Xiao, Haiyu Fu, Tongze Guo, Xiaoping Zhang, Yashuai Li, Xianfeng Song
Publikováno v:
Remote Sensing, Vol 16, Iss 2, p 263 (2024)
Accurately estimating building heights is crucial for various applications, including urban planning, climate studies, population estimation, and environmental assessment. However, this remains a challenging task, particularly for large areas. Satell
Externí odkaz:
https://doaj.org/article/c9b7dd15b2014c4fa935e771430c80b6
Autor:
Tongze Guo, Runkui Li, Zhen Xiao, Panli Cai, Jingxian Guo, Haiyu Fu, Xiaoping Zhang, Xianfeng Song
Publikováno v:
Remote Sensing, Vol 16, Iss 2, p 378 (2024)
Water scarcity is a significant challenge in China, and the South-to-North Water Diversion Project (SNWDP) aims to address the water deficit in the northern region. This study analyses Landsat 5/7/8 remote sensing imagery from 2001 to 2020 on the Goo
Externí odkaz:
https://doaj.org/article/bce8e71db12e40f6a1b41326b5590f96
Autor:
Junshun Wang, Jin Dong, Jingxian Guo, Panli Cai, Runkui Li, Xiaoping Zhang, Qun Xu, Xianfeng Song
Publikováno v:
Atmosphere, Vol 14, Iss 3, p 604 (2023)
Ground-level ozone pollution causes adverse health effects, and the detailed influences of meteorological factors and precursors on ozone at an hourly scale need to be further understood. We conducted an in-depth analysis of the phase relationships a
Externí odkaz:
https://doaj.org/article/b0e1ce087cca4e888b5058678235d9b8
Publikováno v:
International Journal of Environmental Research and Public Health, Vol 18, Iss 5884, p 5884 (2021)
International Journal of Environmental Research and Public Health
Volume 18
Issue 11
International Journal of Environmental Research and Public Health
Volume 18
Issue 11
The spatiotemporal locations of large populations are difficult to clearly characterize using traditional exposure assessment, mainly due to their complicated daily intraurban activities. This study aimed to extract hourly locations for the total pop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f29b326bcf226f96178c43cc0c5959f7
https://doi.org/10.3390/ijerph18115884
https://doi.org/10.3390/ijerph18115884
Autor:
Jin Dong, Xianfeng Song, Runkui Li, Peng Liu, Handong Yue, Panli Cai, Rui Ma, Qun Xu, Xiaoping Zhang
Publikováno v:
Atmospheric Environment. 246:118057
Land use regression model (LUR) is one of the most commonly used methods to project the spatial concentration of ambient pollutants. The number and location of samples are two key factors affecting the accuracy of LUR, yet limited detail is known to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::105dac895ca0525f50c7ee847b2f2f29
https://doi.org/10.1016/j.atmosenv.2020.118057
https://doi.org/10.1016/j.atmosenv.2020.118057