Zobrazeno 1 - 10
of 681
pro vyhledávání: '"spatial-temporal variation"'
Publikováno v:
Gaoyuan qixiang, Vol 43, Iss 5, Pp 1207-1215 (2024)
Based on autumn precipitation data from 1961 to 2021 in Shanxi Province， NCEP/NCAR reanalysis data， and sea surface temperature data， the spatial-temporal variation characteristics and cause diagnosis of autumn precipitation in Shanxi Province
Externí odkaz:
https://doaj.org/article/9e64017b543747e2956acdf38fd52dfb
Publikováno v:
Guan'gai paishui xuebao, Vol 43, Iss 3, Pp 80-86 (2024)
【Objective】 Understanding the variation in ecological environmental quality in a region is a prerequisite for developing sustainable economy but challenging at large scales. In this paper, we investigate the feasibility of remote sensing to monit
Externí odkaz:
https://doaj.org/article/c49885ed50df4b2995f5af8499121b88
Autor:
ZHAO Liman, WANG Xuemei
Publikováno v:
Guan'gai paishui xuebao, Vol 43, Iss 1, Pp 104-112 (2024)
【Objective】 To investigate the spatial and temporal variation patterns of net primary productivity (NPP) of vegetation and its influencing factors in the Manas River basin, Xinjiang. 【Method】 Based on MODIS remote sensing data as well as topo
Externí odkaz:
https://doaj.org/article/518731c80284402fa88771f051fcc6df
Publikováno v:
Applied Sciences, Vol 14, Iss 19, p 8641 (2024)
The evaluation of ecological environment quality (EEQ) is an important method to measure the quality of ecosystem services. Therefore, the EEQ of Changting County, located in the red soil region of southern China, was assessed by using the remote sen
Externí odkaz:
https://doaj.org/article/51fd7a4fdeaf457ebd5201c43cbbffb3
Publikováno v:
Forests, Vol 15, Iss 9, p 1553 (2024)
Climatic comfortability serves as a crucial factor in tourism decision making; however, there remains a gap in evaluating the climate comfort conditions specifically for forest therapy. We developed a new index—Forest Therapy Climate Comfort Index
Externí odkaz:
https://doaj.org/article/20e563c98d9846d3bae77d8c80ee98d6
Autor:
Jiantao Liu, Yan Zhang, Quanlong Feng, Gaofei Yin, Dong Zhang, Yi Li, Jianhua Gong, Yexiang Li, Jingxian Li
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 128, Iss , Pp 103749- (2024)
Green Plastic Cover (GPC) has been widely used in construction sites of China as the main measure for dust suppression. As a unique land cover in China, GPC could be viewed as a sign for evaluating the intensity of urban construction. Therefore, time
Externí odkaz:
https://doaj.org/article/4877c6bd32914ac5827114a02a911a10
Publikováno v:
Remote Sensing, Vol 16, Iss 16, p 2875 (2024)
Atmospheric water vapor is not only a key element of the global hydrological cycle but also the most abundant greenhouse gas. The phase transition and transportation of water vapor are essential for maintaining global energy balance and regulating hy
Externí odkaz:
https://doaj.org/article/1ace764d588941838f18fbdb0620719d
Autor:
Yue Zhang, Huichun Ye, Ronghao Liu, Mingyao Tang, Chaojia Nie, Xuemei Han, Xiaoshu Zhao, Peng Wei, Fu Wen
Publikováno v:
Agriculture, Vol 14, Iss 7, p 1048 (2024)
Soil pH is crucial for the quality of the farmland and crop growth. The objective of this study is to analyze the spatial and temporal variations of farmland soil pH in Xinjiang (XJ), and to provide a scientific basis for soil improvement and agricul
Externí odkaz:
https://doaj.org/article/6044b148901e4d3c88819569d0781970
Publikováno v:
Journal of Groundwater Science and Engineering, Vol 11, Iss 1, Pp 37-46 (2023)
The study of temporal and spatial variations of nitrate in groundwater under different soil nitrogen environments is helpful to the security of groundwater resources in agricultural areas. In this paper, based on 320 groups of soil and groundwater sa
Externí odkaz:
https://doaj.org/article/3ae0ddba32674fdc93f1232f83e98a0b
Publikováno v:
Applied Sciences, Vol 14, Iss 11, p 4554 (2024)
Human actions have led to consistent and profound alterations in land use, which in turn have had a notable effect on the services provided by ecosystems. In this research, the Google Earth Engine (GEE) was initially employed to perform a supervised
Externí odkaz:
https://doaj.org/article/bde7cd97d4634148a51d57dc679f8691