Dynamic capacity modelling of soil environment carrying capacity, and developing a soil quality early warning framework for development land in China
Li, Xiaonuo5; Cundy, Andrew B.4; Chen, Weiping3,5; Liu, Rui2; Lv, Sidan1
刊名JOURNAL OF CLEANER PRODUCTION
2020-06-01
卷号257页码:12
关键词Environmental capacity Risk management Prediction and early warning Soil pollution prevention and control
ISSN号0959-6526
DOI10.1016/j.jclepro.2020.120450
通讯作者Chen, Weiping(wpchen@rcees.ac.cn)
英文摘要The knowledge of soil environmental quality and its changing trends is important for safe and sustainable land utilization. However, comprehensive information on soil environment carrying capacity, involving environmental, economic and social pressures, is relatively rare. In this study, a modified dynamic capacity model is developed to estimate soil environment carrying capacity in terms of a combined consideration of soil environment capacity, cumulative input/output rate and risk characteristics. Based on the method proposed, this paper demonstrates the current pollution status and remaining soil capacity of the Beijing urban area, and establishes a conceptual "early warning" model for soil environmental quality, to predict time-dependent changing patterns of soil pollutants under different accumulation scenarios. The results showed that for Beijing soil environmental carrying capacity varied with land use type and pollutant. Compared with Cu, Zn and Pb, Cd posed the greatest threat to soil environmental carrying capacity in both residential areas and green parks. Heavy metal carrying capacity in soils in built-up areas in Beijing was not overloaded currently, and will not deteriorate significantly over the short-to medium-term in a hypothetical "decreased input" scenario. The method proposed provides a simple, cost-effective, and quantitative tool for mapping soil quality level, and assessing the need for risk management measures, in China and elsewhere. Crown Copyright (C) 2020 Published by Elsevier Ltd. All rights reserved.
资助项目Chinese Academy for Environmental Planning, Ministry of Ecology and Environment of the People's Republic of China under Key Issues Study Programme on National Ecological Environmental Protection Plan[2017A118]
WOS关键词NATURAL ATTENUATION CAPACITY ; HEAVY-METALS ; URBAN SOILS ; ECOSYSTEM SERVICES ; HEALTH-RISKS ; CULTIVATED LAND ; TRACE-ELEMENTS ; CONTAMINATION ; ACCUMULATION ; POLLUTION
WOS研究方向Science & Technology - Other Topics ; Engineering ; Environmental Sciences & Ecology
语种英语
出版者ELSEVIER SCI LTD
WOS记录号WOS:000522383500057
资助机构Chinese Academy for Environmental Planning, Ministry of Ecology and Environment of the People's Republic of China under Key Issues Study Programme on National Ecological Environmental Protection Plan
内容类型期刊论文
源URL[http://ir.igsnrr.ac.cn/handle/311030/133650]  
专题中国科学院地理科学与资源研究所
通讯作者Chen, Weiping
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China
2.Henan Acad Sci, Acad Sci & Technol Innovat Strategy, Zhengzhou 450002, Peoples R China
3.Univ Chinese Acad Sci, Coll Resource & Environm, Beijing 100085, Peoples R China
4.Univ Southampton, Sch Ocean & Earth Sci, Southampton SO14 3ZH, Hants, England
5.Chinese Acad Sci, Res Ctr Ecoenvironm Sci, Lab Soil Environm Sci & Technol, Beijing 100085, Peoples R China
推荐引用方式
GB/T 7714
Li, Xiaonuo,Cundy, Andrew B.,Chen, Weiping,et al. Dynamic capacity modelling of soil environment carrying capacity, and developing a soil quality early warning framework for development land in China[J]. JOURNAL OF CLEANER PRODUCTION,2020,257:12.
APA Li, Xiaonuo,Cundy, Andrew B.,Chen, Weiping,Liu, Rui,&Lv, Sidan.(2020).Dynamic capacity modelling of soil environment carrying capacity, and developing a soil quality early warning framework for development land in China.JOURNAL OF CLEANER PRODUCTION,257,12.
MLA Li, Xiaonuo,et al."Dynamic capacity modelling of soil environment carrying capacity, and developing a soil quality early warning framework for development land in China".JOURNAL OF CLEANER PRODUCTION 257(2020):12.
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