title: Evaluating the impact of odors from the 1955 landfills in China using a bottom-up approach.
abstract: Landfill odors have created a major concern for the Chinese public. Based on the combination of a first order decay (FOD) model and a ground-level point source Gaussian dispersion model, the impacts from odors emitted from the 1955 landfills in China are evaluated in this paper. Our bottom-up approach uses basic data related to each landfill to achieve a more accurate and comprehensive understanding of impact of landfill odors. Results reveal that the average radius of impact of landfill odors in China is 796 m, while most landfills (46.85%) are within the range of 400-1000 m, in line with the results from previous studies. The total land area impacted by odors has reached 837,476 ha, accounting for 0.09% of China's land territory. Guangdong and Sichuan provinces have the largest land areas impacted by odors, while Tibet Autonomous Region and Tianjin Municipality have the smallest. According to the CALPUFF (California Puff) model and an analysis of social big data, the overall uncertainty of our calculation of the range of odor impacts is roughly -32.88% to 32.67%. This type of study is essential for gaining an accurate and detailed estimation of the affected human population and will prove valuable for addressing the current Not In My Back Yard (NIMBY) challenge in China.
authors.affiliation: Center for Climate Change and Environmental Policy, Chinese Academy for Environmental Planning, Beijing 100012, China. Electronic address: caibofeng@gmail.com.
authors.forename: Bofeng
authors.initials: B
authors.lastname: Cai
authors.affiliation: Center for Climate Change and Environmental Policy, Chinese Academy for Environmental Planning, Beijing 100012, China. Electronic address: wangjn@caep.org.cn.
authors.forename: Jinnan
authors.initials: J
authors.lastname: Wang
authors.affiliation: Beijing Key Lab of Capital Spatial Planning and Studies, Beijing 100084, China; Beijing Institute of City Planning, Beijing 100045, China. Electronic address: longying1980@gmail.com.
authors.forename: Ying
authors.initials: Y
authors.lastname: Long
authors.affiliation: Department of Public Policy, City University of Hong Kong, Hong Kong, China.
authors.forename: Wanxin
authors.initials: W
authors.lastname: Li
authors.affiliation: School of Environment, Tsinghua University, Beijing 100084, China.
authors.forename: Jianguo
authors.initials: J
authors.lastname: Liu
authors.affiliation: School of Environment, Tsinghua University, Beijing 100084, China.
authors.forename: Zhe
authors.initials: Z
authors.lastname: Ni
authors.affiliation: Appraisal Center for Environment and Engineering, Beijing 100012, China.
authors.forename: Xin
authors.initials: X
authors.lastname: Bo
authors.affiliation: China Academy of Urban Planning and Design, Beijing 100044, China.
authors.forename: Dong
authors.initials: D
authors.lastname: Li
authors.affiliation: LREIS, Institute of Geographic Sciences & Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
authors.forename: Jianghao
authors.initials: J
authors.lastname: Wang
authors.affiliation: School of Environment, Tsinghua University, Beijing 100084, China.
authors.forename: Xuejing
authors.initials: X
authors.lastname: Chen
authors.affiliation: Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
authors.forename: Qingxian
authors.initials: Q
authors.lastname: Gao
authors.affiliation: School of Environment, Beijing Normal University, Beijing 100875, China.
authors.forename: Lixiao
authors.initials: L
authors.lastname: Zhang
mesh_terms: D000393:Air Pollutants / Q000032:analysis*; D002681:China; D004784:Environmental Monitoring / Q000379:methods; D006801:Humans; D008962:Models, Theoretical; D009812:Odorants / Q000032:analysis*; D012037:Refuse Disposal / Q000379:methods* / Q000706:statistics & numerical data; D018609:Tibet; D064091:Waste Disposal Facilities / Q000706:statistics & numerical data
chemical_list: D000393:Air Pollutants
keywords: Bottom-up; Landfill; Odor impact ranges; Uncertainty evaluation