基于信息扩散理论的广东大宝山地区土壤重金属污染评价
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摘要
为探讨信息扩散理论在土壤重金属污染评价中的可行性,通过广东大宝山地区24个土壤样品重金属数据,采用信息扩散理论结合地累积指数,评价了该地区土壤Pb、Zn、Cu和Cd的污染现状及发生概率。结果表明:大宝山地区土壤受Cd污染最为严重,其次为Cu污染,Pb和Zn污染较轻。通过信息扩散理论计算的地累积指数发生概率表明:大宝山地区土壤受Cd污染发生轻度-中等污染以上的概率为71.65%,中等污染以上的概率为56.76%,中等-强污染以上的概率为39.76%,强污染以上的概率为25.38%,强-极严重污染以上的概率为15.05%,极严重污染以上的概率为0.02%;Cu污染发生轻度-中等污染以上的概率为55.61%,中等污染以上的概率为38.65%,中等-强污染以上的概率为25.09%,强污染以上的概率为15.88%,强-极严重污染以上的概率为9.27%。综上,信息扩散理论可用于土壤重金属污染评价,评价结果可为土壤重金属污染的管理和治理提供参考。
To explore the feasibility of the information diffusion theory in heavy metal pollution evaluations of soil, 24 soil samples from the vicinity of the Dabaoshan mine were analyzed. Using a combination of the information diffusion theory and index of geo-accumulation, we evaluated the heavy metal pollution status and discussed probabilities of pollution risks at different levels. The results indicated that cadmium(Cd)was the most serious soil pollutant, followed by copper(Cu), and lead(Pb)and zinc(Zn)were the lowest in the study area. Cd pollution probabilities calculated using the information diffusion theory showed 71.65% of the soils had light-medium, 56.76% had medium,39.76% had medium-serious, 25.38% had serious, 15.05% had serious-extremely serious, and 0.02% had extremely serious level pollution.Cu pollution probabilities showed 55.61% of soils had light-medium, 38.65% had medium, 25.09% had medium-serious, 15.88% had serious, and 9.27% had serious-extremely serious level pollution. The information diffusion theory could be used to evaluate soil heavy metal pollution. The results could be referenced by management and government of soil heavy metal pollution.
To explore the feasibility of the information diffusion theory in heavy metal pollution evaluations of soil, 24 soil samples from the vicinity of the Dabaoshan mine were analyzed. Using a combination of the information diffusion theory and index of geo-accumulation, we evaluated the heavy metal pollution status and discussed probabilities of pollution risks at different levels. The results indicated that cadmium(Cd)was the most serious soil pollutant, followed by copper(Cu), and lead(Pb)and zinc(Zn)were the lowest in the study area. Cd pollution probabilities calculated using the information diffusion theory showed 71.65% of the soils had light-medium, 56.76% had medium,39.76% had medium-serious, 25.38% had serious, 15.05% had serious-extremely serious, and 0.02% had extremely serious level pollution.Cu pollution probabilities showed 55.61% of soils had light-medium, 38.65% had medium, 25.09% had medium-serious, 15.88% had serious, and 9.27% had serious-extremely serious level pollution. The information diffusion theory could be used to evaluate soil heavy metal pollution. The results could be referenced by management and government of soil heavy metal pollution.
引文
[1] Zhao H R, Xia B C, Qin J Q, et al. Hydrogeochemical and mineralogical characteristics related to heavy metal attenuation in a stream polluted by acid mine drainage:A case study in Dabaoshan mine, China[J].Journal of Environmental Sciences, 2012, 24(6):979-989.
[2] Zhao H R, Xia B C, Fan C, et al. Human health risk from soil heavy metal contamination under different land uses near Dabaoshan mine,southern China[J]. Science of the Total Environment, 2012, 417/418:45-54.
[3]新华网.陈同斌:大地的守护者[EB/OL].(2016-06-17). http://www.xinhuanet.com/science/2016-06/17/c_135438069.htm Xinhuanet. CHEN Tong-bin:Guardian of soils[EB/OL].(2016-06-17). http://www.xinhuanet.com/science/2016-06/17/c_135438069.htm
[4]王玉军,吴同亮,周东美,等.农田土壤重金属污染评价研究进展[J].农业环境科学学报, 2017, 36(12):2365-2378.WANG Yu-jun, WU Tong-liang, ZHOU Dong-mei, et al. Advances in soil heavy metal pollution evaluation based on bibliometrics analysis[J]. Journal of Agro-Environment Science, 2017, 36(12):2365-2378.
[5] Huang C F. Principle of information diffusion[J]. Fuzzy Sets and Systems, 1997, 91(1):69-90.
[6] Huang C F. Fuzzy risk assessment of urban natural hazards[J]. Fuzzy Sets and Systems, 1996, 83(2):271-282.
[7]李孟刚,周长生,连莲.基于熵信息扩散理论的中国农业水旱灾害风险评估[J].自然资源学报, 2017, 32(4):620-631.LI Meng-gang, ZHOU Chang-sheng, LIAN Lian. Agricultural flood and drought risk assessment in China based on entropy information diffusion theory[J]. Journal of Natural Resources, 2017, 32(4):620-631.
[8]陈建杰,余锦华.基于信息扩散理论的四川盆地农业旱灾风险评估[J].大气科学学报, 2016, 39(5):712-720.CHEN Jian-jie, YU Jin-hua. Risk assessment of drought on agricultural land in the Sichuan Basin based on information diffusion theory[J].Transactions of Atmospheric Sciences, 2016, 39(5):712-720.
[9]吴柳萍,纪志荣,连素兰,等.福建省森林病虫害发生风险的概率分析[J].森林与环境学报,2017, 37(1):95-101.WU Liu-ping, JI Zhi-rong, LIAN Su-lan, et al. Probability analysis of forest pests occurring risk in Fujian Province[J]. Journal of Forest and Environment, 2017, 37(1):95-101.
[10]束尧宸,邵辉,李展,等.基于信息扩散理论的尘肺病风险评估研究[J].安全与环境工程, 2016, 23(3):30-35.SHU Yao-chen, SHAO Hui, LI Zhan, et al. Pneumoconiosis risk assessment based on information diffusion theory[J]. Safety and Environmental Engineering, 2016, 23(3):30-35.
[11]李展,邵辉,束尧宸.基于信息扩散理论的天然气发电风险预警技术研究[J].安全与环境工程, 2016, 23(4):144-147.LI Zhan, SHAO Hui, SHU Yao-chen. Risk early-warning technology of natural gas power generation based on information diffusion theory[J]. Safety and Environmental Engineering, 2016, 23(4):144-147.
[12]王伟丽,吴洪颜,贺金芳,等.基于信息扩散理论的江苏省酸雨风险评估[J].灾害学, 2015, 30(1):92-95.WANG Wei-li, WU Hong-yan, HE Jin-fang, et al. The disaster risk assessment of acid rain in Jiangsu Province based on information diffusion theory[J]. Journal of Catastrophology, 2015, 30(1):92-95.
[13]陈红,张丽娟,李文亮,等.黑龙江省雷暴发生规律及区划研究[J].灾害学, 2009, 24(4):58-62.CHEN Hong, ZHANG Li-juan, LI Wen-liang, et al. Law and regionalization of thunderstorms in Heilongjiang Province[J]. Journal of Catastrophology, 2009, 24(4):58-62.
[14] Olya H G T, Alipour H. Risk assessment of precipitation and the tourism climate index[J]. Tourism Management, 2015, 50:73-80.
[15] Zhang J X, Huang C F, Liu X L, et al. Risk assessment of land-falling tropical cyclones in Guangdong Province, China[J]. Human and Ecological Risk Assessment, 2011, 17(3):732-744.
[16]雷晓云,何春梅.基于信息扩散理论的洪水风险评估模型的研究及应用:以阿克苏河流域新大河暴雨融雪型洪水为例[J].水文,2004, 24(4):5-8.LEI Xiao-yun, HE Chun-mei. Study and application of evaluation model of flood risk based on information diffusion theory:Take stormsnowmelt flood in the Xindahe River of Akshu River basin as an example[J]. Hydrology, 2004, 24(4):5-8.
[17]许超,夏北成,秦建桥,等.广东大宝山矿山下游地区稻田土壤的重金属污染状况的分析与评价[J].农业环境科学学报, 2007, 26(增刊2):549-553.XU Chao, XIA Bei-cheng, QIN Jian-qiao, et al. Analysis and evaluation on heavy metal contamination in paddy soils in the lower stream of Dabaoshan area, Guangdong Province[J]. Journal of Agro-Environment Science, 2007, 26(Suppl2):549-553.
[18]蓝楠.矿区村民饮水安全亟待关注:广东大宝山矿区废水污染40余年致沿河400余人患癌案引发的思考[J].环境保护, 2014, 42(13):49-51.LAN Nan. Urgent attention needs to be paid to the drinking water safety in mining area:Reflection on the cancer cases of Guangdong Dabaoshan[J]. Environmental Protection, 2014, 42(13):49-51.
[19]国家环境保护局.中国土壤元素背景值[M].北京:中国环境科学出版社, 1990.The National Environmental Protection Agency. Background value of soil element of China[M]. Beijing:China Environmental Science Press, 1990.
[20]宋波,杨子杰,张云霞,等.广西西江流域土壤镉含量特征及风险评估[J].环境科学, 2018, 38(4):1-18.SONG Bo, YANG Zi-jie, ZHANG Yun-xia, et al. Accumulation of Cd and its risk in soils in the Xijiang River draining of Guangxi[J]. Environmental Science, 2018, 38(4):1-18.
[21]黄崇福.自然灾害风险评价:理论与实践[M].北京:科学出版社,2005.HUANG Chong-fu. Risk assessment of natural disaster:Theory and practice[M]. Beijing:Science Press, 2005.
[22]杨振,胡明安,黄松.大宝山矿区河流表层沉积物重金属污染及潜在生态风险评价[J].桂林工学院学报, 2007, 27(1):44-48.YANG Zhen, HU Ming-an, HUANG Song. Heavy metals pollution in stream sediments and potential ecological risk assessment in Dabaoshan mining area[J]. Journal of Guilin University of Technology,2007, 27(1):44-48.
[23] Bao Y P, Guo C L, Lu G N, et al. Role of microbial activity in Fe(Ⅲ)hydroxysulfate mineral transformations in an acid mine drainage-impacted site from the Dabaoshan mine[J]. Science of the Total Environment, 2018, 616/617:647-657.
[24] Xie Y Y, Lu G N, Yang C F, et al. Mineralogical characteristics of sediments and heavy metal mobilization along a river watershed affected by acid mine drainage[J]. PLoS ONE, 2018, 13(1):1-17.
[25]陈三雄,张金池.广东大宝山矿区土壤重金属污染状况评价[J].珠江现代建设, 2014, 30(5):31-36.CHEN San-xiong, ZHANG Jin-chi. Assessment of heavy metal pollution in soil of Dabaoshan mine, Guangdong Province[J]. Pearl River Modern Construction, 2014, 30(5):31-36.
[26]郑佳佳,姜晓,张晓军.广东大宝山矿区周围土壤重金属污染状况评价[J].环境科学与技术, 2008, 31(11):137-139.ZHENG Jia-jia, JIANG Xiao, ZHANG Xiao-jun. Pollution assessment of heavy metals in soil around Dabaoshan polymetallic ore deposit[J]. Environmental Science&Technology, 2008, 31(11):137-139.
[27]付善明,周永章,赵宇安鸟,等.广东大宝山铁多金属矿废水对河流沿岸土壤的重金属污染[J].环境科学, 2007, 28(4):805-812.FU Shan-ming, ZHOU Yong-zhang, ZHAO Yu-yan, et al. Study on heavy metals in soils contaminated by acid mine drainage from Dabaoshan mine, Guangdong[J]. Environmpntal Science, 2007, 28(4):805-812.
[28]蔡美芳,党志,文震,等.矿区周围土壤中重金属危害性评估研究[J].生态环境, 2004, 13(1):6-8.CAI Mei-fang, DANG Zhi, WEN Zhen, et al. Risk assessment of heavy metals contamination of soils around mining area[J]. Ecology and Environment, 2004, 13(1):6-8.
[2] Zhao H R, Xia B C, Fan C, et al. Human health risk from soil heavy metal contamination under different land uses near Dabaoshan mine,southern China[J]. Science of the Total Environment, 2012, 417/418:45-54.
[3]新华网.陈同斌:大地的守护者[EB/OL].(2016-06-17). http://www.xinhuanet.com/science/2016-06/17/c_135438069.htm Xinhuanet. CHEN Tong-bin:Guardian of soils[EB/OL].(2016-06-17). http://www.xinhuanet.com/science/2016-06/17/c_135438069.htm
[4]王玉军,吴同亮,周东美,等.农田土壤重金属污染评价研究进展[J].农业环境科学学报, 2017, 36(12):2365-2378.WANG Yu-jun, WU Tong-liang, ZHOU Dong-mei, et al. Advances in soil heavy metal pollution evaluation based on bibliometrics analysis[J]. Journal of Agro-Environment Science, 2017, 36(12):2365-2378.
[5] Huang C F. Principle of information diffusion[J]. Fuzzy Sets and Systems, 1997, 91(1):69-90.
[6] Huang C F. Fuzzy risk assessment of urban natural hazards[J]. Fuzzy Sets and Systems, 1996, 83(2):271-282.
[7]李孟刚,周长生,连莲.基于熵信息扩散理论的中国农业水旱灾害风险评估[J].自然资源学报, 2017, 32(4):620-631.LI Meng-gang, ZHOU Chang-sheng, LIAN Lian. Agricultural flood and drought risk assessment in China based on entropy information diffusion theory[J]. Journal of Natural Resources, 2017, 32(4):620-631.
[8]陈建杰,余锦华.基于信息扩散理论的四川盆地农业旱灾风险评估[J].大气科学学报, 2016, 39(5):712-720.CHEN Jian-jie, YU Jin-hua. Risk assessment of drought on agricultural land in the Sichuan Basin based on information diffusion theory[J].Transactions of Atmospheric Sciences, 2016, 39(5):712-720.
[9]吴柳萍,纪志荣,连素兰,等.福建省森林病虫害发生风险的概率分析[J].森林与环境学报,2017, 37(1):95-101.WU Liu-ping, JI Zhi-rong, LIAN Su-lan, et al. Probability analysis of forest pests occurring risk in Fujian Province[J]. Journal of Forest and Environment, 2017, 37(1):95-101.
[10]束尧宸,邵辉,李展,等.基于信息扩散理论的尘肺病风险评估研究[J].安全与环境工程, 2016, 23(3):30-35.SHU Yao-chen, SHAO Hui, LI Zhan, et al. Pneumoconiosis risk assessment based on information diffusion theory[J]. Safety and Environmental Engineering, 2016, 23(3):30-35.
[11]李展,邵辉,束尧宸.基于信息扩散理论的天然气发电风险预警技术研究[J].安全与环境工程, 2016, 23(4):144-147.LI Zhan, SHAO Hui, SHU Yao-chen. Risk early-warning technology of natural gas power generation based on information diffusion theory[J]. Safety and Environmental Engineering, 2016, 23(4):144-147.
[12]王伟丽,吴洪颜,贺金芳,等.基于信息扩散理论的江苏省酸雨风险评估[J].灾害学, 2015, 30(1):92-95.WANG Wei-li, WU Hong-yan, HE Jin-fang, et al. The disaster risk assessment of acid rain in Jiangsu Province based on information diffusion theory[J]. Journal of Catastrophology, 2015, 30(1):92-95.
[13]陈红,张丽娟,李文亮,等.黑龙江省雷暴发生规律及区划研究[J].灾害学, 2009, 24(4):58-62.CHEN Hong, ZHANG Li-juan, LI Wen-liang, et al. Law and regionalization of thunderstorms in Heilongjiang Province[J]. Journal of Catastrophology, 2009, 24(4):58-62.
[14] Olya H G T, Alipour H. Risk assessment of precipitation and the tourism climate index[J]. Tourism Management, 2015, 50:73-80.
[15] Zhang J X, Huang C F, Liu X L, et al. Risk assessment of land-falling tropical cyclones in Guangdong Province, China[J]. Human and Ecological Risk Assessment, 2011, 17(3):732-744.
[16]雷晓云,何春梅.基于信息扩散理论的洪水风险评估模型的研究及应用:以阿克苏河流域新大河暴雨融雪型洪水为例[J].水文,2004, 24(4):5-8.LEI Xiao-yun, HE Chun-mei. Study and application of evaluation model of flood risk based on information diffusion theory:Take stormsnowmelt flood in the Xindahe River of Akshu River basin as an example[J]. Hydrology, 2004, 24(4):5-8.
[17]许超,夏北成,秦建桥,等.广东大宝山矿山下游地区稻田土壤的重金属污染状况的分析与评价[J].农业环境科学学报, 2007, 26(增刊2):549-553.XU Chao, XIA Bei-cheng, QIN Jian-qiao, et al. Analysis and evaluation on heavy metal contamination in paddy soils in the lower stream of Dabaoshan area, Guangdong Province[J]. Journal of Agro-Environment Science, 2007, 26(Suppl2):549-553.
[18]蓝楠.矿区村民饮水安全亟待关注:广东大宝山矿区废水污染40余年致沿河400余人患癌案引发的思考[J].环境保护, 2014, 42(13):49-51.LAN Nan. Urgent attention needs to be paid to the drinking water safety in mining area:Reflection on the cancer cases of Guangdong Dabaoshan[J]. Environmental Protection, 2014, 42(13):49-51.
[19]国家环境保护局.中国土壤元素背景值[M].北京:中国环境科学出版社, 1990.The National Environmental Protection Agency. Background value of soil element of China[M]. Beijing:China Environmental Science Press, 1990.
[20]宋波,杨子杰,张云霞,等.广西西江流域土壤镉含量特征及风险评估[J].环境科学, 2018, 38(4):1-18.SONG Bo, YANG Zi-jie, ZHANG Yun-xia, et al. Accumulation of Cd and its risk in soils in the Xijiang River draining of Guangxi[J]. Environmental Science, 2018, 38(4):1-18.
[21]黄崇福.自然灾害风险评价:理论与实践[M].北京:科学出版社,2005.HUANG Chong-fu. Risk assessment of natural disaster:Theory and practice[M]. Beijing:Science Press, 2005.
[22]杨振,胡明安,黄松.大宝山矿区河流表层沉积物重金属污染及潜在生态风险评价[J].桂林工学院学报, 2007, 27(1):44-48.YANG Zhen, HU Ming-an, HUANG Song. Heavy metals pollution in stream sediments and potential ecological risk assessment in Dabaoshan mining area[J]. Journal of Guilin University of Technology,2007, 27(1):44-48.
[23] Bao Y P, Guo C L, Lu G N, et al. Role of microbial activity in Fe(Ⅲ)hydroxysulfate mineral transformations in an acid mine drainage-impacted site from the Dabaoshan mine[J]. Science of the Total Environment, 2018, 616/617:647-657.
[24] Xie Y Y, Lu G N, Yang C F, et al. Mineralogical characteristics of sediments and heavy metal mobilization along a river watershed affected by acid mine drainage[J]. PLoS ONE, 2018, 13(1):1-17.
[25]陈三雄,张金池.广东大宝山矿区土壤重金属污染状况评价[J].珠江现代建设, 2014, 30(5):31-36.CHEN San-xiong, ZHANG Jin-chi. Assessment of heavy metal pollution in soil of Dabaoshan mine, Guangdong Province[J]. Pearl River Modern Construction, 2014, 30(5):31-36.
[26]郑佳佳,姜晓,张晓军.广东大宝山矿区周围土壤重金属污染状况评价[J].环境科学与技术, 2008, 31(11):137-139.ZHENG Jia-jia, JIANG Xiao, ZHANG Xiao-jun. Pollution assessment of heavy metals in soil around Dabaoshan polymetallic ore deposit[J]. Environmental Science&Technology, 2008, 31(11):137-139.
[27]付善明,周永章,赵宇安鸟,等.广东大宝山铁多金属矿废水对河流沿岸土壤的重金属污染[J].环境科学, 2007, 28(4):805-812.FU Shan-ming, ZHOU Yong-zhang, ZHAO Yu-yan, et al. Study on heavy metals in soils contaminated by acid mine drainage from Dabaoshan mine, Guangdong[J]. Environmpntal Science, 2007, 28(4):805-812.
[28]蔡美芳,党志,文震,等.矿区周围土壤中重金属危害性评估研究[J].生态环境, 2004, 13(1):6-8.CAI Mei-fang, DANG Zhi, WEN Zhen, et al. Risk assessment of heavy metals contamination of soils around mining area[J]. Ecology and Environment, 2004, 13(1):6-8.