IGSNRR OpenIR
Ecological risk assessment of heavy metal contamination of mining area soil based on land type changes: An information network environ analysis
Lu, Jingzhao1,2; Lu, Hongwei2; Wang, Weipeng3; Feng, SanSan3; Lei, Kaiwen3
2021-09-01
Source PublicationECOLOGICAL MODELLING
ISSN0304-3800
Volume455Pages:13
Corresponding AuthorLu, Hongwei(luhw@igsnrr.ac.cn)
AbstractIn this study, a grid-based network environ analysis (FEM-NEA) framework was developed to identify the ecological risks of the internal components within a landscape scale mining ecosystem with multiple land types. In this framework, an information-based network analysis is applied for addressing ecological risk assessments (ERA) based on control allocation (CA) and energy flow matrix, which can quantificationally reflect the relationship between soil ecosystems and ecological communities. In order to improve the computational accuracy and efficiency, the FEM and information-based network analysis are combined to further quantify the flow risk among different components within each grid as well as the whole ecosystem. Compared with the existing NEAERA model, various risk factors and receptors are compatible with the proposed FEM-NEA framework and both direct and indirect effects can be taken into consideration altogether. By taking an abandoned mining area of the Yanshan mountain as an example, risk propagation between all component of the ecosystem concerning both direct risk and integral risk dynamic were quantified. The results showed that contaminated soil normally poses risks to surrounding ecological environment, thereby affecting local vegetation and microorganisms. Afterward, the risks are passed throughout the ecosystem, forming threats to herbivores and predators via the food chain. Here, the probability of risk is ranked as follows: village> farmland> bare land> woodland. Moreover, the influence of input energy and data attributes on the prediction results are also discussed. When the input energy rises by 50%, the control allocation (CA) from herbivores to soil microorganisms correspondingly increases by 1.00% but the value from herbivores to carnivores decreases by 0.71%. This highlights the robustness of the proposed ecological risk assessment framework (FEM-NEA). In general, the FEM-NEA results not only presents the macro-scale risk distribution caused by the interaction of each component, but also reflects the potential migration direction of the risk center. Findings can provide a new perspective and method for assessing ecological risks and also help support remediation techniques for contaminated areas with different land types.
KeywordNetwork environ analysis (NEA) The finite element method (FEM) Ecological risk assessment Heavy metals Mining ecosystems
DOI10.1016/j.ecolmodel.2021.109633
WOS KeywordNEUSE RIVER ESTUARY ; 7-COMPARTMENT MODEL ; DISTRIBUTED CONTROL ; NITROGEN FLOW ; POLLUTION ; MINE ; PHYTOREMEDIATION ; BIOAVAILABILITY ; DISAGGREGATION ; PERSPECTIVES
Indexed BySCI
Language英语
Funding ProjectSecond Tibetan Plateau Scientific Expedition and Research Program (STEP)[2019QZKK1003] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDA20040301] ; National Natural Science Foundation of China[41890824] ; National Key Research and Development Program of China[2019YFC0507801] ; CAS Interdisciplinary Innovation TeamGlobal Change Hydrology
Funding OrganizationSecond Tibetan Plateau Scientific Expedition and Research Program (STEP) ; Strategic Priority Research Program of Chinese Academy of Sciences ; National Natural Science Foundation of China ; National Key Research and Development Program of China ; CAS Interdisciplinary Innovation TeamGlobal Change Hydrology
WOS Research AreaEnvironmental Sciences & Ecology
WOS SubjectEcology
WOS IDWOS:000674509200001
PublisherELSEVIER
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/163718
Collection中国科学院地理科学与资源研究所
Corresponding AuthorLu, Hongwei
Affiliation1.Hebei Agr Univ, Coll Sci & Technol, Cangzhou 061100, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
3.North China Elect Power Univ, Sch Renewable Energy, Beijing 102206, Peoples R China
Recommended Citation
GB/T 7714
Lu, Jingzhao,Lu, Hongwei,Wang, Weipeng,et al. Ecological risk assessment of heavy metal contamination of mining area soil based on land type changes: An information network environ analysis[J]. ECOLOGICAL MODELLING,2021,455:13.
APA Lu, Jingzhao,Lu, Hongwei,Wang, Weipeng,Feng, SanSan,&Lei, Kaiwen.(2021).Ecological risk assessment of heavy metal contamination of mining area soil based on land type changes: An information network environ analysis.ECOLOGICAL MODELLING,455,13.
MLA Lu, Jingzhao,et al."Ecological risk assessment of heavy metal contamination of mining area soil based on land type changes: An information network environ analysis".ECOLOGICAL MODELLING 455(2021):13.
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