Evaluating the impact of odors from the 1955 landfills in China using a bottom-up approach

Journal of Environmental Management

Volumn 164, Issue , 2015, Pages 206-214

  Cai, Bofeng ^a   Wang, Jinnan ^a   Long, Ying ^b,c   Li, Wanxin ^d   Liu, Jianguo ^e   Ni, Zhe ^e   Bo, Xin ^f   Li, Dong ^g   Wang, Jianghao ^h   Chen, Xuejing ^e   Gao, Qingxian ⁱ   Zhang, Lixiao ^j  

^a CHINESE ACADEMY FOR ENVIRONMENTAL PLANNING   (China)

^b Beijing Key Lab of Capital Spatial Planning and Studies   (China)

^c Beijing Institute of City Planning   (China)

^d CITY UNIVERSITY OF HONG KONG   (Hong Kong)

^e TSINGHUA UNIVERSITY   (China)

^f Appraisal Center for Environment and Engineering of SEPA   (China)

^g China Academy of Urban Planning and Design   (China)

^h INSTITUTE OF GEOGRAPHIC SCIENCES AND NATURAL RESOURCES RESEARCH   (China)

ⁱ CHINESE RESEARCH ACADEMY OF ENVIRONMENTAL SCIENCES   (China)

^j BEIJING NORMAL UNIVERSITY   (China)

more..

Author keywords

Bottom up; Landfill; Odor impact ranges; Uncertainty evaluation

Indexed keywords

BIG DATA; ODORS; UNCERTAINTY ANALYSIS;

BOTTOM UP; BOTTOM UP APPROACH; DECAY MODEL; FIRST-ORDER DECAYS; GAUSSIAN DISPERSION MODELS; GROUND LEVEL; LAND AREAS; ODOR IMPACT RANGE; POINT-SOURCES; UNCERTAINTY EVALUATION;

LAND FILL;

AIR QUALITY; BOTTOM-UP APPROACH; ENVIRONMENTAL IMPACT ASSESSMENT; ESTIMATION METHOD; GAUSSIAN METHOD; LAND DEGRADATION; LANDFILL; NOT IN MY BACK YARD RESPONSE; ODOR; POINT SOURCE; PUBLIC HEALTH; UNCERTAINTY ANALYSIS;

ARTICLE; BOTTOM UP APPROACH; CARBON FOOTPRINT; CHINA; DATA ANALYSIS; LANDFILL; MATHEMATICAL COMPUTING; MEASUREMENT; MEASUREMENT ACCURACY; ODOR; AIR POLLUTANT; ANALYSIS; ENVIRONMENTAL MONITORING; HUMAN; PROCEDURES; STATISTICS AND NUMERICAL DATA; THEORETICAL MODEL; TIBET; WASTE DISPOSAL; WASTE DISPOSAL FACILITY;

CHINA; GUANGDONG; SICHUAN; TIANJIN; XIZANG;

NEPTUNIA;

AIR POLLUTANT;

AIR POLLUTANTS; CHINA; ENVIRONMENTAL MONITORING; HUMANS; MODELS, THEORETICAL; ODORS; REFUSE DISPOSAL; TIBET; WASTE DISPOSAL FACILITIES;

EID: 84941921666     PISSN: 03014797     EISSN: 10958630     Source Type: Journal    
DOI: 10.1016/j.jenvman.2015.09.009     Document Type: Article

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