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Dynamic capacity modelling of soil environment carrying capacity, and developing a soil quality early warning framework for development land in China

Dynamic capacity modelling of soil environment carrying capacity, and developing a soil quality early warning framework for development land in China
Dynamic capacity modelling of soil environment carrying capacity, and developing a soil quality early warning framework for development land in China
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.
Environmental capacity, Prediction and early warning, Risk management, Soil pollution prevention and control
0959-6526
1-12
Li, Xiaonuo
05e8eb6d-45b7-49bd-8eae-2e1d5d1b4800
Cundy, Andrew B.
994fdc96-2dce-40f4-b74b-dc638286eb08
Chen, Weiping
932395b9-a198-453f-af8a-4e63f8505f8b
Liu, Rui
30b6a59b-759f-4b14-ad92-fb2f02d6491a
Lv, Sidan
517d32c2-287b-45e3-a73c-46a18c81e423
Li, Xiaonuo
05e8eb6d-45b7-49bd-8eae-2e1d5d1b4800
Cundy, Andrew B.
994fdc96-2dce-40f4-b74b-dc638286eb08
Chen, Weiping
932395b9-a198-453f-af8a-4e63f8505f8b
Liu, Rui
30b6a59b-759f-4b14-ad92-fb2f02d6491a
Lv, Sidan
517d32c2-287b-45e3-a73c-46a18c81e423

Li, Xiaonuo, Cundy, Andrew B., Chen, Weiping, Liu, Rui and 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, 1-12, [120450]. (doi:10.1016/j.jclepro.2020.120450).

Record type: Article

Abstract

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.

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Li et al 2000 - Accepted Manuscript
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More information

Accepted/In Press date: 5 February 2020
e-pub ahead of print date: 5 February 2020
Published date: 1 June 2020
Keywords: Environmental capacity, Prediction and early warning, Risk management, Soil pollution prevention and control

Identifiers

Local EPrints ID: 438149
URI: http://eprints.soton.ac.uk/id/eprint/438149
ISSN: 0959-6526
PURE UUID: a722716c-c8af-4cd2-9a99-ebd3984a1d5e
ORCID for Andrew B. Cundy: ORCID iD orcid.org/0000-0003-4368-2569

Catalogue record

Date deposited: 03 Mar 2020 17:41
Last modified: 17 Mar 2024 05:21

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Contributors

Author: Xiaonuo Li
Author: Andrew B. Cundy ORCID iD
Author: Weiping Chen
Author: Rui Liu
Author: Sidan Lv

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