Zobrazeno 1 - 10
of 74
pro vyhledávání: '"Jicai Ning"'
Publikováno v:
Mathematics, Vol 12, Iss 14, p 2210 (2024)
By constructing a complex network model grounded in time series analysis, this study delves into the intricate relationships between the stock markets of 18 countries worldwide. Utilizing 31 distinct time series distance functions to formulate the ne
Externí odkaz:
https://doaj.org/article/803da491658b4da7b837f6a4d520b25d
Publikováno v:
Applied Sciences, Vol 14, Iss 12, p 5087 (2024)
Pine wood nematode disease, commonly referred to as pine wilt, poses a grave threat to forest health, leading to profound ecological and economic impacts. Originating from the pine wood nematode, this disease not only causes the demise of pine trees
Externí odkaz:
https://doaj.org/article/7a17193f8fa74a3e99a67471073bfcfc
Autor:
Zhixiong Tang, Rongrong Ning, De Wang, Xinpeng Tian, Xiaoli Bi, Jicai Ning, Zixiang Zhou, Fubin Luo
Publikováno v:
Ecological Indicators, Vol 158, Iss , Pp 111394- (2024)
Accurately assessing future land use/cover change (LUCC) and habitat quality (HQ) is vital for ensuring sustainable use of coastal ecosystem services, but most studies ignore the effects of seawater inundation. This study developed a framework based
Externí odkaz:
https://doaj.org/article/d1d12dab8f3a4647b39493b01551ba25
Autor:
Haoyu Jiang, Jun Li, Jiaqi Wang, Hongxing Jiang, Yangzhi Mo, Jiao Tang, Ruijie Zhang, Wanwisa Pansak, Guangcai Zhong, Shizhen Zhao, Jicai Ning, Chongguo Tian, Gan Zhang
Publikováno v:
Environment International, Vol 170, Iss , Pp 107582- (2022)
Field-based sampling can provide more accurate evaluation than MODIS in regional biomass burning (BB) emissions given the limitations of MODIS on unresolved fires. Polyurethane foam-based passive air samplers (PUF-PASs) are a promising tool for colle
Externí odkaz:
https://doaj.org/article/94c6bc39ed7141818a12088f10c69bc3
Publikováno v:
Remote Sensing, Vol 13, Iss 14, p 2727 (2021)
High-quality remotely sensed satellite data series are important for many ecological and environmental applications. Unfortunately, irregular spatiotemporal samples, frequent image gaps and inevitable observational biases can greatly hinder their app
Externí odkaz:
https://doaj.org/article/d9487a62fd2d4c28817d8fc7443d1f85
Publikováno v:
PLoS ONE, Vol 10, Iss 8, p e0136876 (2015)
In this paper, the normal and extreme wind conditions for power at 12 coastal locations along China's coastline were investigated. For this purpose, the daily meteorological data measured at the standard 10-m height above ground for periods of 40-62
Externí odkaz:
https://doaj.org/article/0a28bd82cac24b939b4896f26825e075
Publikováno v:
Advances in Meteorology, Vol 2014 (2014)
China policies and Grain-for-Green Project have led to changes in farmland area and grain production. Climate change was also occurring during this period. To analyze the effects of land use and climate change on grain production, the area of farmlan
Externí odkaz:
https://doaj.org/article/bab2561cb29f44e0b8f8628bb83e13dd
Publikováno v:
Wetlands. 43
Based on the wetlands classification map, the difference in water and heat flux was studied, as well as the drought conditions in different wetlands. The relationship between the retrieved land surface temperature (LST) and evapotranspiration (ET) wa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b22fe21d0c4ef9d840c2c8d2300be4d
https://doi.org/10.1007/s13157-023-01666-7
https://doi.org/10.1007/s13157-023-01666-7
Publikováno v:
Atmospheric Environment. 184:129-139
Air pollution in urban atmosphere directly affects public-health; therefore, it is very essential to predict air pollutant concentrations. Air quality is a complex function of emissions, meteorology and topography, and artificial neural networks (ANN
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d642365aa60fe780d66497c0bfb8908
https://doi.org/10.1016/j.atmosenv.2018.03.027
https://doi.org/10.1016/j.atmosenv.2018.03.027
Publikováno v:
Remote Sensing, Vol 13, Iss 2727, p 2727 (2021)
High-quality remotely sensed satellite data series are important for many ecological and environmental applications. Unfortunately, irregular spatiotemporal samples, frequent image gaps and inevitable observational biases can greatly hinder their app
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c6fd3baa1fba8a866356a6d838426d9
https://doi.org/10.3390/rs13142727
https://doi.org/10.3390/rs13142727