长江中游湖南段湖泊重金属时空累积因素研究

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Abstract To investigate the impact of economic development on the spatial-temporal distribution characteristics of heavy metals in lake sediments, lakes (≥10km²) in Hunan Province along the middle reach of the Yangtze River were collected. The sediment background values (GB) of heavy metals were analyzed by ¹³⁷Cs and ²¹⁰Pb radionuclide methods, geochemical background method, and multivariate statistic method. According to the results, the main toxicity risk element in Yueyang South Lake (urban area), Huanggai Lake (suburb), and Huarong East Lake (suburb) with different economic development levels were identified. Ridge regression estimation based on the STIRPAT extended model was used to investigate the spatial-temporal relationships between socio-economic indicators (total population, actual GDP per capita, urbanization rate, secondary industry ratio, tertiary industry ratio, mining and manufacturing) and the most important pollutants. The results showed that the GB of Cr, Cu, Zn, Cd and Pb were 98, 30, 78, 0.22 and 26mg/kg, respectively, which were 1.46, 1.11, 0.82, 2.75 and 0.96 times of the soil background values in Hunan. The total ecological risk posed by the metals in the study area followed the trend Yueyang South Lake>Huanggai Lake>Huarong East Lake. And Cd was the most widely contributed and most concentrated element. In the STIRPAT expansion model, the standardized coefficients of the total population, urbanization rate, actual GDP per capita, the secondary industry ratio, the tertiary industry ratio, the mining and manufacturing were 0.1396, 0.0969, 0.1922, 0.1367, 0.1264 and 0.1929, respectively, indicating that the mining and manufacturing production, actual GDP per capita, and the total population had the greatest impact on Cd pollution. Therefore, the mining and manufacturing had a great impact on Cd pollution in lakes. The conclusion was not accurate to assess the lake sediment risk through soil backgrounds. This study provides important guidance for watershed environmental baseline study, pollution prevention, environmental management, pollution control, and especially supporting the protection of the Yangtze River.

Key words： sediment background value ecological risk STIRPAT model ridge regression

Received: 19 August 2022

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X524

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	Articles by authors
	KONG Ling-hui
	LUO Ming-ke
	YU Hui
	HUA Zu-lin

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KONG Ling-hui,LUO Ming-ke,YU Hui等. Spatial-temporal accumulation factors of heavy metals in Hunan lakes along the middle reach of the Yangtze River[J]. CHINA ENVIRONMENTAL SCIENCECE, 2023, 43(4): 1812-1823.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2023/V43/I4/1812

[1]	Wang P, Chen H, Kopittke P M, et al. Cadmium contamination in agricultural soils of China and the impact on food safety[J]. Environmental Pollution, 2019,249:1038-1048.
[2]	罗明科.生物炭接枝和负载改性及其对重金属砷、镉吸附去除性能[D]. 北京:北京科技大学, 2020. Luo M K. Grafting and loading modification of biochar and its adsorption and removal of heavy metals arsenic and cadmium[D]. Beijing:Beijing University of Science and Technology, 2020.
[3]	Ding X G, Ye S Y, Wang J, et al. The concentration distribution and pollution assessment of heavy metals in surface sediments of the Bohai Bay, China[J]. Marine Pollution Bulletin, 2019,149(C):110497.
[4]	张杰,郭西亚,曾野,等.太湖流域河流沉积物重金属分布及污染评估[J]. 环境科学, 2019,40(5):2202-2210. Zhang J, Guo X, Zeng Y, et al. Distribution and pollution assessment of heavy metals in river sediments of Taihu Lake basin[J]. Environmental Science, 2019,40(5):2202-2210.
[5]	解瑞峰.中国北方典型湖泊重金属沉积特征、污染来源与趋势预测[D]. 哈尔滨:哈尔滨师范大学, 2021. Xie R F, Sedimentary characteristics, pollution sources and trend prediction of heavy metals in typical lakes in northern China[D]. Harbin:Harbin Normal University, 2021.
[6]	樊娟,吴文晖,胡树林,等.洞庭湖表层底泥重金属污染及其生态风险评价[J]. 四川环境, 2018,37(4):162-168. Fan J, Wu W H, Hu S L, et al. Heavy metal pollution of surface sediment of Dongting Lake and its ecological risk assessment[J]. Sichuan Environment, 2018,37(4):162-168.
[7]	方小红,彭渤,宋照亮,等.洞庭湖"四水"入湖河床沉积物重金属污染特征[J]. 地球化学, 2019,48(4):378-394. Fang X H, Peng B, Song L L, et al. Characteristics of heavy metal pollution in the sediment of the "four rivers" entering the Dongting Lake[J]. Geochemistry, 2019,48(4):378-394.
[8]	张英.洞庭湖生态经济区土地利用变化及其生态系统服务价值研究[D]. 长沙:湖南师范大学, 2019. Zhang Y. Study on Land Use Change and Ecosystem Service Value in Dongting Lake Ecological Economic Zone[D]. Changsha:Hunan Normal University, 2019.
[9]	严冬.辽河流域典型河流水体重金属分布特征、健康风险及来源解析[D]. 沈阳:沈阳师范大学, 2020. Yan D. Distribution characteristics, health risks and source analysis of heavy metals in typical rivers of Liaohe River Basin[D]. Shenyang:Shenyang Normal University, 2020.
[10]	余璨. BCR多级连续提取法在拉萨河流域表层沉积物重金属形态分析研究中的应用[D]. 拉萨:西藏大学, 2019. Yu C. Application of BCR multi-stage continuous extraction method in speciation analysis of heavy metals in surface sediments of Lhasa River basin[D]. Lasa:Tibet University, 2019.
[11]	谢意南,黄代中,田琪,等.洞庭湖及其入湖口沉积物中重金属的污染特征、来源与生态风险[J]. 环境化学, 2017,(10):2253-2264. Xie Y N, Huang D Z, Tian Q, et al. Pollution characteristics, sources and ecological risks of heavy metals in sediments of Dongting Lake and its inlet[J]. Environmental Chemistry, 2017,(10):2253-2264.
[12]	任杰,白莉,李军,等.太湖表层沉积物重金属污染评价与来源分析[J]. 地球与环境, 2021,49(4):416-427. Ren J, Bai L, Li J, et al. Assessment and source analysis of heavy metal pollution in surface sediments of Taihu Lake[J]. Earth and Environment, 2021,49(4):416-427.
[13]	吴佳伦,罗霜,李思思,等.微波消解/石墨消解-ICP-MS测定土壤中的多种重金属[J]. 中国测试, 2021,47(5):58-63. Wu J L, Luo S, Li S S, et al. Determination of heavy metals in soil by microwave digestion/graphite digestion ICP-MS[J]. China Test, 2021,47(5):58-63.
[14]	张信宝,李进林,李晨露,等.黄河三角洲及邻近海域沉积物137Cs和210Pbex断代的适用性[J]. 地球与环境, 2020,50(5):648-654. Zhang X B, Li J L, Li C L, et al. Applicability of 137Cs and 210Pbex dating of sediments in the Yellow River Delta and adjacent waters[J]. Earth and Environment, 2020,50(5):648-654.
[15]	顾家伟.基于210Pb和137Cs计年法的黄河下游湿地沉积速率研究初探[J]. 地球与环境, 2020,48(6):698-703. Gu J W. Preliminary study on sedimentation rate of wetlands in the lower yellow River based on 210Pb and 137Cs dating methods[J]. Earth and Environment, 2020,48(6):698-703.
[16]	Abbasi A. 210Pb and 137Cs based techniques for the estimation of sediment chronologies and sediment rates in the Anzali Lagoon, Caspian Sea[J]. Journal of Radioanalytical and Nuclear Chemistry, 2019,322(2):319-330.
[17]	俱战省,文安邦,严冬春,等.基于137Cs、210Pb和CSLE的三峡库区小流域土壤侵蚀评估[J]. 水土保持学报, 2015,29(3):75-80. JU Z S, Wen A B, Yan D C, et al. Soil erosion assessment of small watershed in the Three Gorges reservoir area based on 137Cs, 210Pb and CSLE[J]. Journal of Soil and Water Conservation, 2015,29(3):75-80.
[18]	Gharbi F, AlSheddi T, Torfa H, et al. Combination of 137Cs and 210Pb radioactive atmospheric fallouts to estimate soil erosion for the same time scale.[J]. International Journal of Environmental Research and Public Health, 2020,178292.
[19]	刘子赫,孟瑞红,代辉祥,等.基于改进地累积指数法的沉积物重金属污染评价[J]. 农业环境科学学报, 2019,38(9):2157-2164. Liu Z H, Meng R H, Dai H X, et al. Assessment of sediment heavy metal pollution based on improved land accumulation index method[J]. Journal of Agricultural Environmental Science, 2019,38(9):2157-2164.
[20]	Jhénelle A. Williams and Johann Antoine. Evaluation of the elemental pollution status of Jamaican surface sediments using enrichment factor, geoaccumulation index, ecological risk and potential ecological risk index[J]. Marine Pollution Bulletin, 2020,157(C):111288.
[21]	王倩倩,王祖伟,侯迎迎,等.改进的地累积指数法在重金属生态风险评价中的应用[J]. 天津师范大学学报(自然科学版), 2018,38(5):47-51. Wang Q Q, Wang Z W, Hou Y Y, et al. Application of improved geo cumulative index method in ecological risk assessment of heavy metals[J]. Journal of Tianjin Normal University (Natural Science Edition), 2018,38(5):47-51.
[22]	York R, Rosa E A, Dietz T. STIRPAT, IPAT and ImPACT:Analytic tools for unpacking the driving forces of environmental impacts[J]. Ecological Economics, 2003,46(3):351-365.
[23]	史芳,包景岭,李燃.基于STIRPAT模型的天津市水环境污染影响因素分析[J]. 环境监测管理与技术, 2019,31(6):64-67. Shi F, Bao J L, Li R. Analysis of factors affecting Tianjin water environment pollution based on STIRPAT model[J]. Environmental Monitoring Management and Technology, 2019,31(6):64-67.
[24]	李文博,林建宇,周强,等.骆马湖现代沉积物137Cs和210Pbex的测定分析与环境指示意义[J]. 环境监测管理与技术, 2021,33(5):41-45. Li W B, Lin J Y, Zhou Q, et al. Determination, analysis and environmental indication significance of 137Cs and 210Pbex in modern sediments of Luoma Lake[J]. Environmental Monitoring Management and Technology, 2021,33(5):41-45.
[25]	邓彬彬.基于210Pb、137Cs和239+240Pu的不同水环境沉积物年代学比较研究[D]. 上海:华东师范大学, 2021. Deng B B. A comparative study of sediment chronology in different water environments based on 210Pb, 137Cs and 239+240Pu[D]. Shanghai:East China Normal University, 2021.
[26]	潘佑民,杨国治.湖南土壤背景值及研究[M]. 北京:中国环境科学出版社, 1988. Pan Yo M, Yang G Z. Soil background value and research in Hunan[M]. Beijing:China Environmental Science Press, 1988.
[27]	库文珍,董萌,周小梅.湖南锡矿山土壤重金属污染状况评价[J]. 广东化工, 2015,42(17):138-139. Ku W Z, Dong M, Zhou X M. Assessment of heavy metal pollution in soil of Hunan Xikuang Mine[J]. Guangdong Chemical Industry, 2015,42(17):138-139.
[28]	岳阳市统计局.岳阳统计年鉴[M]. 北京:中国统计出版社, 1998-2015. Statistics Bureau of Yueyang. Yueyang statistical yearbook[M]. Beijing:China Statistics Press, 1998-2015.
[29]	余利丰.基于STIRPAT模型的武汉市碳排放情景分析[J]. 湖北理工学院学报, 2022,38(3):1-6,16. Yu L F. Scenario analysis of carbon emissions in Wuhan based on STIRPAT model[J]. Journal of Hubei Institute of Technology, 2022, 38(3):1-6,16.
[30]	黄振华.基于STIRPAT模型的重庆市建筑碳排放影响因素研究[D]. 重庆:重庆大学, 2018. Huang Z H Research on Impact Factors of Building Carbon Emission in Chongqing Based on STIRPAT Model[D]. Chongqing:Chongqing University, 2018.
[31]	喻方琴,熊剑,黄卫,等.岳阳市典型农田土壤重金属含量及生态风险评价[J]. 岳阳职业技术学院学报, 2018,33(5):8-16. Yu F Q, Xiong J, Huang W, et al. Heavy metal content and ecological risk assessment of typical farmland soil in Yueyang City[J]. Journal of Yueyang Vocational and Technical College, 2018,33(5):8-16.
[32]	Ciarkowska K. Assessment of heavy metal pollution risks and enzyme activity of meadow soils in urban area under tourism load:a case study from Zakopane (Poland)[J]. Environmental science and pollution research international, 2018,25(14):13709-13718.
[33]	王琳杰,曾贤刚,段存儒,等.鄱阳湖沉积物重金属污染影响因素分析——基于STIRPAT模型[J]. 中国环境科学, 2020,40(8):3683-3692. Wang L J, Zeng X G, Duan C R, et al. Analysis of factors affecting heavy metal pollution in Poyang Lake sediments based on STIRPAT model[J]. China Environmental Science, 2020,40(8):3683-3692.
[34]	杨安,邢文聪,王小霞,等.西藏中部河流、湖泊表层沉积物及其周边土壤重金属来源解析及风险评价[J]. 中国环境科学, 2020,40 (10):4557-4567. Yang A, Xing W C, Wang X X, et al. Source analysis and risk assessment of heavy metals in surface sediments of rivers and lakes in central Tibet and surrounding soil[J]. China Environmental Science, 2020,40(10):4557-4567.