Simulation of changes in heavy metal contamination in farmland soils of a typical manufacturing center through logistic-based cellular automata modeling

文献类型: 外文期刊

第一作者: Qiu, Menglong

作者: Qiu, Menglong;Liu, Liming;Wang, Qi;Li, Fangbai;Chen, Junjian;Yang, Guoyi

作者机构:

关键词: Farmland soil;Heavy metal contamination;Change;Logistic regression;Cellular automata;Scenario simulation

期刊名称:ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH ( 影响因子:4.223; 五年影响因子:4.306 )

ISSN:

年卷期:

页码:

收录情况: SCI

摘要: A customized logistic-based cellular automata (CA) model was developed to simulate changes in heavy metal contamination (HMC) in farmland soils of Dongguan, a manufacturing center in Southern China, and to discover the relationship between HMC and related explanatory variables (continuous and categorical). The model was calibrated through the simulation and validation of HMC in 2012. Thereafter, the model was implemented for the scenario simulation of development alternatives for HMC in 2022. The HMC in 2002 and 2012 was determined through soil tests and cokriging. Continuous variables were divided into two groups by odds ratios. Positive variables (odds ratios >1) included the Nemerow synthetic pollution index in 2002, linear drainage density, distance from the city center, distance from the railway, slope, and secondary industrial output per unit of land. Negative variables (odds ratios <1) included elevation, distance from the road, distance from the key polluting enterprises, distance from the town center, soil pH, and distance from bodies of water. Categorical variables, including soil type, parent material type, organic content grade, and land use type, also significantly influenced HMC according to Wald statistics. The relative operating characteristic and kappa coefficients were 0.91 and 0.64, respectively, which proved the validity and accuracy of the model. The scenario simulation shows that the government should not only implement stricter environmental regulation but also strengthen the remediation of the current polluted area to effectively mitigate HMC.

分类号: X5`X

  • 相关文献

[1]DESIGN AND IMPLEMENTATION OF ACULOPS LYCOPERSICI POPULATION DYNAMIC MODEL PROTOTYPE BASED ON CELLULAR AUTOMATA. Wang, Dongsheng,Li, Linyi,Yuan, Yongda. 2009

[2]Grass cover change model based on cellular automata. Zhang, Shuai,Zhao, Jingyin,Li, Linyi. 2008

[3]Classification model of Increment Changes of Geographical Object Based on Multifold state difference. Zhu Huaji,Wu Huarui,Sun Xiang,Ma Shaojuan. 2009

[4]Various sulphur fractions changes during different manure composting. Bao, Yanyu,Zhou, Qixing,Guan, Lianzhu,Yan, Li,Wang, He.

[5]Risk Assessment System Based on WebGIS for Heavy Metal Pollution in Farmland Soils in China. Pan, Shouhui,Wang, Kaiyi,Wang, Zhibin,Han, Yanyun,Wang, Li. 2017

[6]Determination of Potassium in Farmland Soil Using Laser-Induced Breakdown Spectroscopy. Dong Da-ming,Zheng Wen-gang,Zhao Chun-jiang,Zhao Xian-de,Jiao Lei-zi,Zhang Shi-rui. 2013

[7]Comparison of microbial taxonomic and functional shift pattern along contamination gradient. Niu, Jiaojiao,Xiao, Yunhua,Zhang, Xian,Liang, Yili,Liu, Xueduan,Yin, Huaqun,Ren, Youhua,Niu, Jiaojiao,Xiao, Yunhua,Zhang, Xian,Liang, Yili,Liu, Xueduan,Yin, Huaqun,Ren, Youhua,Huang, Wenkun,Peng, Deliang. 2016

[8]Phytoremediation of Zn- and Cr-Contaminated Soil Using Two Promising Energy Grasses. Li, C.,Xiao, B.,Wang, Q. H.,Yao, S. H.,Wu, J. Y.,Xiao, B.. 2014

[9]The effect of heavy metal contamination on the bacterial community structure at Jiaozhou Bay, China. Yao, Xie-Feng,Guo, Jian-hua,Zhang, Jiu-ming,Tian, Li,Zhang, Jiu-ming,Tian, Li. 2017

[10]Evaluation of semi-arid arable soil heavy metal pollution by magnetic susceptibility in the Linfen basin of China. Yang, Pingguo,Byrne, James M.,Li, Hongjun,Shao, Hong-Bo,Shao, Hong-Bo.

[11]Predicting the probability of wheat aphid occurrence using satellite remote sensing and meteorological data. Luo, Juhua,Ma, Ronghua,Huang, Wenjiang,Zhao, Jingling,Zhang, Jingcheng,Huang, Muyi. 2014

[12]Direct and indirect effects of wastewater use and herd environment on the occurrence of animal diseases and animal health in Pakistan. Elahi, Ehsan,Zhang, Liqin,Abid, Muhammad,Abid, Muhammad,Javed, Muhammad Tariq,Han Xinru.

[13]Forecasting of Powdery Mildew disease with multi-sources of remote sensing information. Zhang, Jingcheng,Yuan, Lin,Nie, Chenwei,Wei, Liguang,Yang, Guijun,Zhang, Jingcheng,Yang, Guijun,Zhang, Jingcheng,Yang, Guijun,Zhang, Jingcheng,Yuan, Lin. 2014

[14]FARMERS WILLINGNESS TO PURCHASE AGRICULTURAL INFORMATION. Zheng, Xiaoping,Tian, Dong,Vlad, L. B.,Antohi, V. M.,Liu, Zhanhu. 2014

作者其他论文 更多>>