|
|
Analysis of priority control sources of heavy metal pollution in sediments of the lower of Daqing River Basin |
YUAN Ru-yu1, ZHANG Qi2, LI Cheng3,4, WU Yi-hong3,4, TIAN Zai-feng3,4 |
1. Xingtai Environmental Sanitation Management Center, Xingtai 054000, China; 2. Yangtze Institute for Conservation and Development, Hohai University, Nanjing 210000, China; 3. Hebei Academy of Ecological and Environmental Sciences, Shijiazhuang 050031, China; 4. Hebei Key Laboratory of Water Environment Science, Shijiazhuang 050031, China |
|
|
Abstract In order to explore the impacts of different pollution sources of heavy metals on ecology and human health risk, this paper took the lower of Daqing River Basin as the research object, collected and measured the contents of heavy metals Cu, Pb, Ni and Cr in 36sediment samples, quantified the degree of heavy metal pollution by using the traditional analytical method, analyzed the sources of heavy metal pollution in the sediment by utilizing the Positive Definite Matrix Factor Analysis (PMF). Meanwhile, on the basis of PMF source analysis, combined with heavy metal toxicity and environmental background values, the contribution of pollution sources to ecological and human health risks was quantitatively analyzed by using PMF combined with the potential ecological risk index model (ERI) and human health risk assessment model (HHRA). The results of the single-factor pollution index showed that the four heavy metals Pb, Ni, Cu and Cr were slightly polluted in the study area, using the background value of soil heavy metals in Hebei Province as the standard value. The PMF analysis showed that the sources of heavy metal pollution were industrial sources (43.26%) > agricultural-transportation sources (34.97%) > transportation-natural sources (21.77%). The PMF-ERI showed that traffic-natural sources (39.21%)>Agriculture-transportation sources (34.07%)>Industrial sources (26.72%), and traffic-natural sources were the best control sources of potential ecological risks. The PMF-HHRA showed that industrial sources (43.98%)>Agriculture-transportation source (26.90%)>Traffic-natural sources (29.12%) and industrial sources were the best-controlled sources of human health risks, and Cr was the best control pollutant for human health risks.
|
Received: 23 December 2023
|
|
|
|
|
[1] Liu E, Shen J, Liu X, et al. Variation characteristics of heavy metals and nutrients in the core sediments of Taihu Lake and their pollution history [J]. Science in China Series D-Earth Science, 2006,49(S1):82-91. [2] 华祖林,王苑.水动力作用下河湖沉积物污染物释放研究进展[J]. 河海大学学报(自然科学版), 2018,46(2):95-105. Hua Z L, Wang Y. Advance on the release of pollutants in river and lake sediments under hydrodynamic conditions [J]. Journal of Hohai University (Natural Sciences), 2018,46(2):95-105. [3] Zhang H W, Zhang F, Song J, et al. Pollutant source,ecological and human health risks assessment of heavy metals in soils from coal mining areas in Xinjiang, China [J]. Environmental Research, 2021,202:111702. [4] Tahereh F, Kobra N, Adeleh E, et al. Drinking water heavy metal toxicity and chronic kidney diseases: a systematic review [J]. Reviews on Environmental Health, 2020,36(3):359-366. [5] Saeedi M, Loretta Y, Mahdiyeh S. Heavy metals and polycyclic aromatic hydrocarbons: pollution and ecological risk assessment in street dust of Tehran [J]. Journal of Hazardous Materials, 2012,227-228,9-17. [6] Mabinty S T, Lartey Y G, Wang G H, et al. Risk assessment and source apportionment of heavy metalloids from typical farmlands provinces in China [J]. Process Safety and Environmental Protection, 2023,171:109-118. [7] Kafilat A, Bawa-Allah. 2023. Assessment of heavy metal pollution in Nigerian surface freshwaters and sediment: A meta-analysis using ecological and human health risk indices. Kafilat A. Bawa-Allah [J]. Journal of Contaminant Hydrology, 2023,256:104199. [8] 李照全,方平,黄博,等.洞庭湖区典型内湖表层沉积物中氮、磷和重金属空间分布与污染风险评价[J]. 环境科学研究, 2020,33(6):1409-1420. Li Z Q, Fang P, Huang B, et al. Distribution and ecological risk assessment of nitrogen, phosphorus and heavy metals in surface sediments of typical internal lakes in Dongting Lake Area [J]. Research of Environmental Sciences, 2020,33(6):1409-1420. [9] 李莹,李家科,解伟峰,等.黄河流域沉积物重金属污染评估及源解析[J]. 环境科学与技术, 2022,45(7):96-104. Li Y, Li J K, Xie W F, et al. Assessment and source analysis of heavy metal pollution in sediments of the Yellow River basin [J]. Environmental Science & Technology, 2022,45(7):96-104. [10] Zhou L F, Zhao X L, Meng Y B, et al. Identification priority source of soil heavy metals pollution based on source-specific ecological and human health risk analysis in a typical smelting and mining region of South China [J]. Ecotoxicology and Environmental Safety, 2022,242:113864. [11] 张亚宁,吴喜军,董颖,等.陕北矿区河流沉积物重金属的生态风险源定量解析[J]. 环境科学学报, 2023,43(6):238-246. Zhang Y N, Wu X J, Dong Y, et al. Quantitative analysis of ecological risk sources of heavy metals in river sediments of northern Shaanxi Mining area, China [J]. Acta Scientiae Circumstantiae, 2023,43(6):238-246. [12] 李军,李旭,李开明,等.基于特定源-风险评估模型的兰州黄河风情线绿地土壤重金属污染优先控制源分析[J]. 环境科学, 2024, 45(4):2428-2439. Li J, Li X, Li K M, et al. Identification priority source of heavy metal pollution in greenspace soils based on source-specific ecological and human health risk analysis in the Yellow River Custom Tourist Line of Lanzhou [J]. Environmental Science, 2024,45(4):2428-2439. [13] 孙然好,陈利顶,王伟,等.基于“源”“汇”景观格局指数的海河流域总氮流失评价[J]. 环境科学, 2012,33(6):1784- 1788. Sun R H, Chen L D, Wang W, et al. Correlating landscape pattern with total nitrogen concentration using a location-weighted sink-source landscape index in the Haihe River Basin, China [J]. Environmental Science, 2012,33(6):1784-1788. [14] Zhang P Y, Qin C Z, Hong X, et al. Risk assessment and source analysis of soil heavy metal pollution from lower reaches of Yellow River irrigation in China [J]. Science of the Total Environment, 2018, 633:1136-1147. [15] Cheng H, Hu Y. Lead (Pb) isotopic fingerprinting and its applications in lead pollution studies in China: a review [J]. Environmental Pollution, 2010,158:1134-1146. [16] Lv, J. Multivariate receptor models and robust geostatistics to estimate source apportionment of heavy metals in soils [J]. Environmental Pollution, 2019,244:72-83. [17] 元如雨,赵冬梅,翟学正,等.大清河流域下游氟离子污染特征及源解析[J]. 绿色科技, 2022,24(8):89-99. Yuan R Y, Zhao D M, Zhai X Z, et al. Characteristics and source analysis of fluoride ion pollution in the lower reaches of Daqing River Basin [J]. Journal of Green Science and Technology, 2022,24(8):89-99. [18] 毕江涛.白洋淀-大清河流域河岸带土壤大孔隙结构特征研究[D]. 北京:北京林业大学, 2020. Bi J T. Study on the structure characteristics of soil macropores in the riparian zone of Baiyangdian-Daqing River Basin [D]. Beijing: Beijing Forestry University, 2020. [19] 张晓娇.大清河流域是循环模拟与演变规律研究[D]. 济南:济南大学, 2020. Zhang X. Distributed simulation and evolution law of water cycle in the Daqing River Basin [D]. Jinan: University of Jinan, 2020. [20] 赵亦博,尹钊,史常青,等.大清河流域河岸植被带污染物净化能力研究[J]. 水土保持学报, 2022,36(5):130-135. Zhao Y B, Yin Z, Shi C Q, et al. Study on pollutant purification capacity of riparian vegetation zone in Daqing River Basin [J]. Journal of Soil and Water Conservation, 2022,36(5):130-135. [21] Hakanson L. An ecological risk index for aquatic pollution control.a sedimentological approach [J]. Water Research, 1980,14(8):975–1001. [22] Li Y, Bai H C, Li Y T, et al. An integrated approach to identify the source apportionment of potentially toxic metals in shale gas exploitation area soil, and the associated ecological and human health risks [J]. Journal of Hazardous Materials, 2023,48:132006. [23] 元如雨.大沽河地下水源地硝酸盐污染特征与源解析[D]. 青岛:中国海洋大学, 2020. Yuan R Y. Characteristics and sources analysis of nitrate pollution in Dagu river groundwater source [D]. Qingdao: Ocean University of China, 2020. [24] Li H, Yang J, Ye B, Jiang D. Pollution characteristics and ecological risk assessment of 11unheeded metals in sediments of the Chinese Xiangjiang River [J]. Environmental Geochemistry Health, 2019,41(3): 1459-1472. [25] Nkansah M A, Darko G, Dodd M, et al. Assessment of pollution levels, potential ecological risk and human health risk of heavy metals/metalloids in dust around fuel filling stations from the Kumasi Metropolis, Ghana [J]. Cogent Environmental Science, 2017,3(1):1412153. [26] Tepanosyan G, Harutyunyan N, Maghakyan N, et al. Potentially toxic elements contents and the associated potential ecological risk in the bottom sediments of Hrazdan river under the impact of Yerevan city (Armenia) [J]. Environmental Science and Pollution Research, 2022, 29(24):36985-37003. [27] 郎超,单保庆,李思敏,等.滏阳河表层沉积物重金属污染现状分析及风险评价[J]. 环境科学学报, 2016,36(1):64-73. Lang C, Shan B Q, Li S M, et al. Pollution analysis and ecological risk assessment of heavy metals in surface sediments of Fuyang River [J], Acta Scientiae Circumstantiae, 2016,36(1):64-73. [28] Jia X, Fu T, Hu B, et al. Identification of the potential risk areas for soil heavy metal pollution based on the source-sink theory [J]. Journal of Hazardous Materials, 2020,393:122424. [29] Wu J, Teng Y, Wu B, et al. Comparison of sources and spatial distribution of heavy metals at two peri-urban areas in Southwest Shenyang, China [J]. Environmental Engineering and Management Journal, 2019,18(1):31-39. [30] Huang J H, Guo S T, Zeng G M, et al. A new exploration of health risk assessment quantifification from sources of soil heavy metals under different land use [J]. Environmental. Pollution, 2018,243:49-58. [31] Guan Q, Wang F, Xu C, et al. Source apportionment of heavy metals in agricultural soil based on PMF: A case study in Hexi Corridor, northwest China [J]. Chemosphere, 2018,193:189-197. [32] Guo G H, Zhang D, Wang Y. Source apportionment and source- specific health risk assessment of heavy metals in size-fractionated road dust from a typical mining and smelting area, Gejiu, China [J]. Environmental Science and Pollution Research, 2020,28:9313-9326. [33] Cai L, Xu Z, Bao P, et al. Multivariate and geostatistical analyses of the spatial distribution and source of arsenic and heavy metals in the agricultural soils in Shunde, Southeast China [J]. Geochemical Exploration, 2015,148:189-195. [34] Liu L, Xu X, Han J, et al. Heavy metal(loid)s in agricultural soils in the world’s largest barium-mining area: Pollution characteristics, source apportionment, and health risks using PMF model and Cd isotopes [J]. Process Safety and Environmental Protection, 2022,166:669-681. [35] Guan Q, Wang F, Xu C, et al. Source apportionment of heavy metals in agricultural soil based on PMF: A case study in Hexi Corridor, northwest China [J]. Chemosphere, 2018,193:189-197. [36] Hu W, Wang H, Dong L, et al. Source identification of heavy metals in peri-urban agricultural soils of southeast China: An integrated approach [J]. Environmental Pollution, 2018,237:650-661. [37] Nicholson F A, Smith S R, Alloway B J, et al.An inventory of heavy metals inputs to agricultural soils in England and Wales [J], Science of the Total Environment, 2003,311(1/3):205-219. [38] Chen X, Lu X.Contamination characteristics and source apportionment of heavy metals in topsoil from an area in Xi’an city, China [J]. Ecotoxicolgy and Environmental Safety, 2018,151:153-160. [39] Ding D, Kong L, Jiang D, et al. Source apportionment and health risk assessment of chemicals of concern in soil, water and sediment at a large strontium slag pile area [J]. Environmental Management, 2022,304:114228. [40] 张宏泽,崔文刚,黄月美,等.黔中喀斯特地区临近矿区耕地土壤重金属污染评价及其源解析[J]. 环境科学学报, 2022,42(4):412-421. Zhang H Z, Cui W G, Huang Y M, et al. Evaluation and source analysis of heavy metal pollution of farmland soil around the mining area of karst region of central Guizhou Province [J]. Acta Scientiae Circumstantiae, 2022,42(4):412-421. [41] Rovira J, Nadal M, Schuhmacher M, et al. Human exposure to trace elements through the skin by direct contact with clothing: Risk assessment [J]. Environmental Research, 2015,140:308-316. [42] Shi X M, Liu S, Song L, et al. Contamination and source-specific risk analysis of soil heavy metals in a typical coal industrial city, central China [J]. Science of the Total Environment, 2022,836:155694. [43] Cai L M, Wang Q S, Luo J, et al. Heavy metal contamination and health risk assessment for children near a large Cu smelter in central China [J]. Science of the Total Environment, 2019,650:725-733. [44] 杨剑洲,龚晶晶,王振亮,等.海南岛半干旱区农用地土壤重金属富集因素、健康风险及来源识别[J]. 环境科学, 2022,43(10):4590-4600. Yang J Z, Gong J J, Wang Z L, et al. Enrichment factors,health risk,and source identification of heavy metals in agricultural soils in semi-arid region of Hainan Island [J]. Environmental Science, 2022, 43(10):4590-4600. |
[1] |
DU Jin-hua, TAO Wen-xin, ZHANG Yi-sheng, LIU Zi-yang, YANG Jian-li, ZHANG Su-fan, WANG Chao-long, CUI Shan-shan, XUE-Lian, ZHANG Hou-yong, SUN Ying-jie. Source apportionment and health risk assessment of metal elements in PM1 on different weather types during autumn and winter-A case study of Qingdao[J]. CHINA ENVIRONMENTAL SCIENCECE, 2024, 44(8): 4179-4192. |
|
|
|
|