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Cartographic assessment of pollution of forest ecosystems on the Baikal natural territory by technogenic emissions
Affiliation:1. Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science & Engineering, Fudan University, Shanghai 200433, China;2. Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science and Technology, Nanjing 210044, China;1. Centre for Energy Technology, The University of Adelaide, SA, 5005, Australia;2. School of Mechanical Engineering, The University of Adelaide, SA, 5005, Australia;3. School of Chemical Engineering and Advanced Materials, The University of Adelaide, SA, 5005, Australia;1. Centre for Urban Transport Emission Research, College of Environmental Science and Engineering, Nankai University, Tianjin 300071, China;2. Tianjin Key Laboratory of Aquatic Science and Technology, School of Environmental and Municipal Engineering, Tianjin Chengjian University, Tianjin 300384, China;1. Guangdong Provincial Key Laboratory of Marine Resources and Coastal Engineering, School of Marine Science, Sun Yat-Sen University, Guangzhou 510275, China;2. South China Sea Resource Exploitation and Protection Collaborative Innovation Center, School of Marine Sciences, Sun Yat-Sen University, Guangzhou 510275, China;3. School of Life Sciences, Sun Yat-Sen University, Guangzhou 510275, China
Abstract:The implementation of these authors’ original approaches in generating maps of forest pollution and vital status of forest stands in a large region is outlined. The maps so far developed can be considered basic, reflecting the phenomena to be subsequently monitored in order to make justified forecasts of the state of forest vegetation on territories exposed to pollution, including under changes of the level and character of emission load.
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