Literature DB >> 26473699

Integrating hierarchical bioavailability and population distribution into potential eco-risk assessment of heavy metals in road dust: A case study in Xiandao District, Changsha city, China.

Jinhui Huang1, Fei Li2, Guangming Zeng3, Wenchu Liu4, Xiaolong Huang4, Zhihua Xiao4, Haipeng Wu4, Yanling Gu4, Xue Li4, Xiaoxiao He4, Yan He4.   

Abstract

Modified eco-risk assessment method (MEAM) integrated with the hierarchical bioavailability determined by the fraction detection of Cd, Pb, Zn, Cu, Cr in road dust samples and the local population distribution derived from the local land use map, was proposed to make the hierarchical eco-risk management strategy in Xiandao District (XDD), China. The geo-accumulation index (Igeo), the original potential eco-risk index (Er(i)) and the modified eco-risk assessment index (MEAI) were used to identify the priority pollutant. Compared with the Hunan soil background values, evaluated metal concentrations were found to different extent. The results of mean Igeo, Er(i) and bioavailability of studied metals revealed the following orders: Cd>PbZn>CuCr, Cd>Pb>Cu>Cr>Zn and Cd>Zn>CuPb>Cr, respectively. Therefore, Cd was regarded as the priority pollutant. To identify the priority areas taking into account cost consideration, the hierarchical risk map based on the results of the modified eco-risk assessment index with overlay of the population density map was needed and made. The west and partly south areas of XDD were under higher eco-risk generally. Moreover, the whole XDD area was divided into 4 area categories with different management priorities based on the possibility of occurrence of eco-risk, and the hierarchical risk management strategy associated with protecting local population was suggested to facilitate allocation of funds for risk management.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Heavy metals; Hierarchical bioavailability; Population distribution; Potential eco-risk assessment; Road dust

Mesh:

Substances:

Year:  2015        PMID: 26473699     DOI: 10.1016/j.scitotenv.2015.09.139

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  19 in total

1.  Spatial health risk assessment and hierarchical risk management for mercury in soils from a typical contaminated site, China.

Authors:  Fei Li; Jingdong Zhang; Wei Jiang; Chaoyang Liu; Zhongmin Zhang; Chengde Zhang; Guangming Zeng
Journal:  Environ Geochem Health       Date:  2016-08-18       Impact factor: 4.609

2.  Heavy metals in the riverbed surface sediment of the Yellow River, China.

Authors:  Qingyu Guan; Ao Cai; Feifei Wang; Lei Wang; Tao Wu; Baotian Pan; Na Song; Fuchun Li; Min Lu
Journal:  Environ Sci Pollut Res Int       Date:  2016-09-22       Impact factor: 4.223

3.  Heavy metal contamination in surface sediments of representative reservoirs in the hilly area of southern China.

Authors:  Xiaolong Wang; Lu Zhang; Zhonghua Zhao; Yongjiu Cai
Journal:  Environ Sci Pollut Res Int       Date:  2017-09-26       Impact factor: 4.223

4.  Pollution characteristics, source apportionment, and health risk of heavy metals in street dust of Suzhou, China.

Authors:  Manli Lin; Herong Gui; Yao Wang; Weihua Peng
Journal:  Environ Sci Pollut Res Int       Date:  2016-10-31       Impact factor: 4.223

5.  Status, source identification, and health risks of potentially toxic element concentrations in road dust in a medium-sized city in a developing country.

Authors:  S M Praveena; A Z Aris
Journal:  Environ Geochem Health       Date:  2017-09-19       Impact factor: 4.609

6.  The ecological risk, source identification, and pollution assessment of heavy metals in road dust: a case study in Rafsanjan, SE Iran.

Authors:  Milad Mirzaei Aminiyan; Mohammed Baalousha; Rouhollah Mousavi; Farzad Mirzaei Aminiyan; Hamideh Hosseini; Amin Heydariyan
Journal:  Environ Sci Pollut Res Int       Date:  2017-03-02       Impact factor: 4.223

7.  Prediction of cadmium concentration in brown rice before harvest by hyperspectral remote sensing.

Authors:  Weihong Zhou; Jingjing Zhang; Mengmeng Zou; Xiaoqing Liu; Xiaolong Du; Qian Wang; Yangyang Liu; Ying Liu; Jianlong Li
Journal:  Environ Sci Pollut Res Int       Date:  2018-11-20       Impact factor: 4.223

8.  Heavy metals in road dust from Xiandao District, Changsha City, China: characteristics, health risk assessment, and integrated source identification.

Authors:  Fei Li; Jingdong Zhang; Jinhui Huang; Dawei Huang; Jun Yang; Yongwei Song; Guangming Zeng
Journal:  Environ Sci Pollut Res Int       Date:  2016-03-22       Impact factor: 4.223

9.  Pollution assessment and health risks evaluation of (metalloid) heavy metals in urban street dust of 58 cities in China.

Authors:  Zhang Zhaoyong; Anwar Mamat; Zibibula Simayi
Journal:  Environ Sci Pollut Res Int       Date:  2018-10-31       Impact factor: 4.223

10.  Heavy metals and metalloid distribution in different organs and health risk assessment for edible tissues of fish captured from Honghu Lake.

Authors:  Jingdong Zhang; Liyun Zhu; Fei Li; Chaoyang Liu; Zhaofei Yang; Zhenzhen Qiu; Minsi Xiao
Journal:  Oncotarget       Date:  2017-10-13
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