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Analysis of Ecological Factors Affecting Beijing City Based on Geographical Detector

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Remote-sensing-technology can evaluate ecological environment quickly, objectively and quantitatively. This paper used the remote-sensing ecological model to inverse ecological indexes based on satellite images and basic geographic data in Beijing, China.
Xiaoming Deng   +3 more
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Innovative landslide susceptibility mapping supported by geomorphon and geographical detector methods

Landslides, 2017
Landslides are among the most common and dangerous natural hazards in mountainous regions that can cause damage to properties and loss of lives. Landslide susceptibility mapping (LSM) is a critical tool for preventing or mitigating the negative impacts of landslides.
Wei Luo, Cheng-Chien Liu
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Cadmium source identification in soils and high-risk regions predicted by geographical detector method

Environmental Pollution, 2020
Cadmium (Cd) contamination in soils has become a serious and widespread environmental problem, especially in areas with high natural background Cd values, but the mechanism of Cd enrichment in these areas is still unclear. This study uses the Guangxi Zhuang Autonomous Region (Guangxi), a typical area with a high background Cd level and Cd pollution ...
Yinjun, Zhao   +4 more
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A geographical detector study on factors influencing urban park use in Nanjing, China

Urban Forestry & Urban Greening, 2021
Abstract Even though urban parks are widely recognized to be of immense benefits for urban residents and environment alike, developing a direct and effective method to estimate urban park use and decipher its influencing mechanisms remain to be challenging.
Zhengxi Fan   +4 more
openaire   +1 more source

Global pattern and drivers of water scarcity research: a combined bibliometric and geographic detector study

Environmental Monitoring and Assessment, 2022
Water scarcity, which refers to a deficit of freshwater resources availability in meeting anthropogenic and environmental water needs, is nowadays a growing concern in many countries around the world. Because water scarcity is often poor management induced, research is critical to advance knowledge and provide technical and policy support for water ...
Siao Sun   +4 more
openaire   +2 more sources

Influential factors detection for surface water quality with geographical detectors in China

Stochastic Environmental Research and Risk Assessment, 2018
Surface water quality is a matter of serious concern in China. This study quantitatively analyzes the spatial–temporal characteristics of surface water quality among 100 monitoring stations in China during 2015. A geographical detector was used to detect the influential annual and seasonal factors.
Jiaxin Wang   +3 more
openaire   +1 more source

Spatiotemporal characteristics and determinants of agricultural carbon offset rate in China based on the geographic detector

Environmental Science and Pollution Research, 2023
This paper attempts to explore the spatiotemporal variation characteristics of the agricultural carbon offset rate (ACOR) and the reasons that shape its differentiation characteristics in China. To achieve this objective, the Dagum Gini coefficient, kernel density estimation, and geographic detector model are employed in this study.
Jie, Huang, Zimin, Sun, Minzhe, Du
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Influence Factors Analysis of Geological Disasters in Southeastern Tibet Based on Geographical Detector

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
The southeastern Tibet study area is located in key position of traffic lifeline of the entering Tibet. On the special environment of physical geography and geology, the geological disasters in this area occurred frequently. There are 406 geological disasters which area larger than 20000m2 are acquired by remote sensing interpretation, including ...
Weijie Jia, Mengfei Wang, zhihua Wang
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Spatial rough set-based geographical detectors for nominal target variables

Information Sciences, 2022
Hexiang Bai   +4 more
openaire   +1 more source

Quantification of driving factors on NDVI in oasis-desert ecotone using geographical detector method

Journal of Mountain Science, 2019
Within oasis-desert ecotone regions, the normalized difference vegetation index (NDVI) is an important parameter for evaluating the growth of vegetation. An accurate quantitative study between NDVI and environmental and anthropogenic factors is critical for understand the driving factors of vegetation growth in oasis-desert ecotone.
Yu Zhang   +3 more
openaire   +1 more source

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