Trinity assessment method applied to heavy-metal contamination in peri-urban soil–crop systems: A case study in northeast China

Identification and assessment of heavy-metal (HM) contamination in soil–crop systems are prerequisites for treating contamination of cultivated land. Traditional assessment methods focus primarily on total soil HM concentrations, whereas the assessment of HMs that occur in available forms or are acc...

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Bibliographic Details
Main Authors: Han, J. (Author), Li, W. (Author), Wang, D. (Author), Wang, X. (Author), Wu, S. (Author), Yan, Z. (Author)
Format: Article
Language:English
Published: Elsevier B.V. 2021
Subjects:
Online Access:View Fulltext in Publisher
LEADER 03569nam a2200577Ia 4500
001 10.1016-j.ecolind.2021.108329
008 220427s2021 CNT 000 0 und d
020 |a 1470160X (ISSN) 
245 1 0 |a Trinity assessment method applied to heavy-metal contamination in peri-urban soil–crop systems: A case study in northeast China 
260 0 |b Elsevier B.V.  |c 2021 
856 |z View Fulltext in Publisher  |u https://doi.org/10.1016/j.ecolind.2021.108329 
520 3 |a Identification and assessment of heavy-metal (HM) contamination in soil–crop systems are prerequisites for treating contamination of cultivated land. Traditional assessment methods focus primarily on total soil HM concentrations, whereas the assessment of HMs that occur in available forms or are accumulated by crops is increasingly considered essential for evaluating land contamination. Until now, there has been a lack of methods to adequately quantify the contamination status of soil–crop agroecosystems. We propose a ‘trinity’ assessment method covering total, available, and accumulated HMs involving a catastrophe-progression method and fusion algorithm. A typical urban–rural transition zone in NE China was selected for demonstration of the method and to identify HM spatial patterns associated with the impact of urbanization using GIS-based bivariate Moran's I analysis. Results indicate a spatial mismatch between total, available, and accumulated HM concentrations. Traditional methods indicate that soil–crop systems generally have less contamination and lower risk levels, whereas contaminated areas defined more holistically by the trinity method have a decreasing urban–rural trend. Furthermore, the bivariate Moran's I analysis indicates that land-use conflicts cause spatial clustering of HM contamination in cultivated lands where urbanization and industrialization have led to HM accumulation. Cluster patterns are significantly associated with the transition from urban to rural areas. These findings suggest that the trinity soil–crop system provides a practical tool for the quantitative assessment of the HM contamination status of peri-urban agriculture in major grain-producing areas, aiding the development of managerial strategies to prevent the occurrence of ecological hazards. © 2021 The Authors 
650 0 4 |a Agricultural robots 
650 0 4 |a Bivariate 
650 0 4 |a Bivariate moran I analyse 
650 0 4 |a Bivariate Moran's I analysis 
650 0 4 |a Catastrophe progression method 
650 0 4 |a Catastrophe-progression method 
650 0 4 |a China 
650 0 4 |a Contamination 
650 0 4 |a Contamination assessment 
650 0 4 |a Contamination assessment 
650 0 4 |a Crops 
650 0 4 |a Cultivated lands 
650 0 4 |a cultivation 
650 0 4 |a Disasters 
650 0 4 |a heavy metal 
650 0 4 |a Heavy metal contamination 
650 0 4 |a Heavy metals 
650 0 4 |a industrialization 
650 0 4 |a Land use 
650 0 4 |a Land use 
650 0 4 |a Moran I 
650 0 4 |a risk assessment 
650 0 4 |a Rural areas 
650 0 4 |a soil pollution 
650 0 4 |a Soil pollution 
650 0 4 |a Soils 
650 0 4 |a transition zone 
650 0 4 |a Transition zones 
650 0 4 |a urbanization 
650 0 4 |a Urban-rural 
650 0 4 |a Urban–rural transition zone 
650 0 4 |a Urban–rural transition zone 
700 1 |a Han, J.  |e author 
700 1 |a Li, W.  |e author 
700 1 |a Wang, D.  |e author 
700 1 |a Wang, X.  |e author 
700 1 |a Wu, S.  |e author 
700 1 |a Yan, Z.  |e author 
773 |t Ecological Indicators