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Modelling spatial variation in the treatment costs of non-point source pollution in mountainous regions of southwest China
Liu Ju1; Fu Bin2; Zhang Cheng-hu1; Wang Yu-kuan2
Corresponding AuthorWang Yu-kuan(wangyukuan@imde.ac.cn)
2019-08-01
Source PublicationJOURNAL OF MOUNTAIN SCIENCE
ISSN1672-6316
Volume16Issue:8Pages:1901-1912
AbstractNon-point source (NPS) pollution is considered to be one of the main threats of the aquatic environment. Mountainous regions are particularly important water sources for urban areas. The various driving factors of NPS pollution such as terrain, precipitation, and vegetation type in mountainous regions show clear spatial heterogeneity. Consequently, the management systems required for NPS pollution in mountainous regions are complex. In this study, we developed a framework to estimate and map the treatment costs for NPS pollution in mountainous regions and applied this method in Baoxing County, a typical mountainous county in Sichuan Province of southwest China. The export levels of total nitrogen (TN) and total phosphorus (TP) in Baoxing County were estimated using the water purification model in InVEST (Itegrated Valuation of Ecosystem Services and Tradeoffs) tool. NPS pollutant treatment costs were calculated based on the level of pollutants exports, water yield, water quality targets, and treatment costs of NPS pollutants per unit mass. The results show that at the watershed level the amounts of TN and TP exported in Baoxing County were below threshold limits. However, at the sub-watershed level, TN and TP excesses of 291.64 and 2.96 tons per year were found, respectively, with mean TN and TP treatment costs of 6.58 US$/hm(2) and 0.35 US$/hm(2). Appraising pollution treatment cost intuitively reflects the overall expenditure in NPS pollution reduction from an economic perspective. This study provides a foundation for the implementation of Payment for Ecosystem Service (PES) and the prevention and control of NPS pollution.
KeywordNonpoint source pollution Water treatment cost Water purification model InVEST Tool Export coefficient Spatial variation
DOI10.1007/s11629-018-5051-x
Indexed BySCI
WOS KeywordLAND-USE CHANGE ; WATER-QUALITY ; EXPORT COEFFICIENT ; ENVIRONMENTAL SERVICES ; RIVER-BASIN ; UPPER REACH ; MANAGEMENT ; LOAD ; NITROGEN ; IMPACT
Language英语
Funding ProjectNational Natural Science Foundation of China[41371539] ; Guangxi Natural Science Foundation Program[2018GXNSFBA138026] ; Guangxi Young and Middle-aged University Teachers' Scientific Research Ability Enhancement Project[2018KY0360]
WOS Research AreaEnvironmental Sciences & Ecology
WOS SubjectEnvironmental Sciences
WOS IDWOS:000478892900012
Funding OrganizationNational Natural Science Foundation of China ; Guangxi Natural Science Foundation Program ; Guangxi Young and Middle-aged University Teachers' Scientific Research Ability Enhancement Project
PublisherSCIENCE PRESS
Citation statistics
Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/26771
Collection山区发展研究中心
Corresponding AuthorWang Yu-kuan
Affiliation1.Nanning Normal Univ, Key Lab Environm Change & Resources Use Beibu Gul, Minist Educ, Key Lab Earth Surface Proc & Intelligent Simulat, Nanning 530001, Peoples R China
2.Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Sichuan, Peoples R China
Corresponding Author Affilication中国科学院水利部成都山地灾害与环境研究所
Recommended Citation
GB/T 7714
Liu Ju,Fu Bin,Zhang Cheng-hu,et al. Modelling spatial variation in the treatment costs of non-point source pollution in mountainous regions of southwest China[J]. JOURNAL OF MOUNTAIN SCIENCE,2019,16(8):1901-1912.
APA Liu Ju,Fu Bin,Zhang Cheng-hu,&Wang Yu-kuan.(2019).Modelling spatial variation in the treatment costs of non-point source pollution in mountainous regions of southwest China.JOURNAL OF MOUNTAIN SCIENCE,16(8),1901-1912.
MLA Liu Ju,et al."Modelling spatial variation in the treatment costs of non-point source pollution in mountainous regions of southwest China".JOURNAL OF MOUNTAIN SCIENCE 16.8(2019):1901-1912.
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