Huan jing ke xue= Huanjing kexue最新文献

{"title":"[Comparative Energy Consumption Structure and Mode between China and Major Energy-Consuming Countries Under the Background of Carbon Emission Reduction].","authors":"Hui Li,&nbsp;Bo Pang,&nbsp;Fa-Hua Zhu,&nbsp;Xue-Li Sun,&nbsp;Jing-Xin Xu,&nbsp;Sheng Wang","doi":"10.13227/j.hjkx.202112065","DOIUrl":"https://doi.org/10.13227/j.hjkx.202112065","url":null,"abstract":"<p><p>The top 23 countries with energy consumption accounting for 80% of the worldwide total in 2020 were selected as the research objects for this study. The energy consumption structure of these countries has been compared and studied from the proportion of clean energy in primary energy, the clean utilization rate of fossil energy, and the proportion of electric energy in terminal energy consumption, and the characteristics of energy consumption intensity were also analyzed based on the energy consumption per unit GDP, capital, and unit land area. The energy consumption patterns of various countries in social-economic operation, production, and life were also discussed, combined with the characteristics of industrial structure and subsector energy consumption. The concept of natural carbon sink load ratio of energy consumption was put forward, and the advantages and challenges of energy consumption mode transformation under carbon peak and carbon neutralization goals in China were identified and analyzed. The results showed that:the proportion of clean energy in primary energy, the proportion of energy consumption for power generation, the clean utilization rate of fossil energy, and the proportion of electric energy in terminal energy consumption in China were 15.90%, 53.48%, 37.51%, and 26.54%,respectively,all of which were in the forefront among the major energy-consuming countries in the world. China has built a favorable structural foundation for energy-intensive and clean utilization and formed a green and low-carbon energy consumption model; the proportion of non-industrial and agricultural energy consumption, especially that of transportation energy consumption, were both the lowest among major energy-consuming countries, and there is still much room for improvement in overall energy productivity based on the optimization of industrial structure. However, the relatively short carbon peak and neutralization target period poses a great challenge to the development speed and scale of clean energy to China, and the international situation under the constraint of carbon emission also increases the difficulty for China to achieve the carbon reduction goal by optimizing and adjusting the industrial structure.</p>","PeriodicalId":172067,"journal":{"name":"Huan jing ke xue= Huanjing kexue","volume":"43 11","pages":"5294-5304"},"PeriodicalIF":0.0,"publicationDate":"2022-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40512794","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Spatialization and Spatio-temporal Dynamics of Energy Consumption Carbon Emissions in China].","authors":"Rui-Jun Hao,&nbsp;Wei Wei,&nbsp;Chun-Fang Liu,&nbsp;Bin-Bin Xie,&nbsp;Hai-Bo Du","doi":"10.13227/j.hjkx.202112066","DOIUrl":"https://doi.org/10.13227/j.hjkx.202112066","url":null,"abstract":"<p><p>The adverse effects of global climate change on human production and life are becoming increasingly prominent. Responding to climate change has become a severe challenge faced by human society, and the reduction in greenhouse gas emissions has gradually become a common action by all countries. Therefore, analyzing carbon emissions through scientific methods has become an important foundation for responding to the national \"dual carbon\" strategy. This study used provincial-level carbon emission statistics, combined with nighttime light data and population data, and assigned carbon emissions to the grid scale. It also analyzed the temporal and spatial characteristics and evolution characteristics of carbon emissions in China in 2000, 2005, 2010, 2015, and 2018, as well as the correlation between carbon emissions and the economy. The results showed that:① from 2000 to 2018, the total CO₂ emissions in China continued to grow, but the growth rate slowed over time. The average annual growth rate of carbon emissions dropped from 9.9% in 2000-2010 to 7.4% in 2010-2018. From the perspective of spatial distribution, carbon-free areas were mainly distributed in the northwest uninhabited area and northeast forest and mountainous areas, low-carbon emissions were mainly distributed in the vast small and medium-sized cities and towns, and high-carbon emissions were concentrated in northern, central, eastern coastal, and western provincial capitals and urban agglomerations. ② Carbon emissions had high-value or low-value agglomerations at prefecture-level cities; this agglomeration tended to stabilize as a whole and had strengthened after 2005. Low-low agglomeration areas were mainly distributed in the western contiguous areas and Hainan Island. With economic and social development, low-low agglomeration areas began to fragment and reduce in size; high-high agglomeration areas were mainly distributed in the Beijing-Tianjin-Hebei urban agglomeration, Taiyuan urban agglomeration, Yangtze River Delta urban agglomerations, and Pearl River Delta urban agglomerations, and the scale was gradually strengthened and consolidated; high-low and low-high agglomeration areas mainly appeared in neighboring cities with large differences in economic development levels. ③ Carbon emissions in most parts of China were relatively stable. The areas where carbon emissions had changed were mainly distributed in the peripheral areas of provincial capitals and key cities, and there was a circle structure with no changes in the central urban area and changes in carbon emissions in the peripheral areas. ④ The overall process of urban development in China from 2000 to 2018 followed a shift from \"low emission-low income\" to \"high emission-low income\" to \"high emission-high income\" and finally to \"low emission-high income.\" The growth rate of carbon emissions in China is slowing down. Under the background of the \"dual carbon\" strategy, different regions face different carbon e","PeriodicalId":172067,"journal":{"name":"Huan jing ke xue= Huanjing kexue","volume":"43 11","pages":"5305-5314"},"PeriodicalIF":0.0,"publicationDate":"2022-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40512795","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Policy Analysis in Plastic Pollution Governance and Recommendations in China].","authors":"Huan Li,&nbsp;Long Zhu,&nbsp;Qian Shen,&nbsp;Ya-Nan He,&nbsp;Yi-Xiang Deng,&nbsp;Li-Hui An","doi":"10.13227/j.hjkx.202112268","DOIUrl":"https://doi.org/10.13227/j.hjkx.202112268","url":null,"abstract":"<p><p>Plastic pollution is a global concern and an issue in environmental governance. Based on the updated \"Plastic Prohibition/Restriction Order\" issued recently in China, the present study systematically reviewed the implementation effectiveness of the \"Plastic Prohibition/Restriction Order\" since 2007. Furthermore, we summarized plastics in China and plastic waste management progress policies. Additionally, three deficiencies of the updated \"Plastic Prohibition/Restriction Order\" were discussed:policy formulation, implementation, and supervision. Some positive recommendations were provided based on the available reports, such as integrating plastic pollution into national basic laws and regulation systems, building a network platform for public attendance, and coordinating the publicity of the \"Plastic prohibition/Restriction Order\" with the public interest. Besides these measurements, some points about plastic waste management in the future were also highlighted, such as the \"blind area\" in small retail stores, the rational sharing of environmental protection responsibility, new materials and processes, and recycling and disposal systems for plastic wastes. Most importantly, the present study could provide ideas for policy-makers to address plastic pollution at its sources.</p>","PeriodicalId":172067,"journal":{"name":"Huan jing ke xue= Huanjing kexue","volume":"43 11","pages":"5326-5332"},"PeriodicalIF":0.0,"publicationDate":"2022-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40512797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Estimating Methane Fugitive Emissions from Oil and Natural Gas Systems in China].","authors":"Chun-Ci Chen,&nbsp;Yong-Long Lü,&nbsp;Gui-Zhen He","doi":"10.13227/j.hjkx.202204176","DOIUrl":"https://doi.org/10.13227/j.hjkx.202204176","url":null,"abstract":"<p><p>To achieve its carbon peaking and carbon neutrality objectives, China is committed to promoting a decarbonized energy transition, which has strengthened the shift from coal to oil and gas resources. As a result, methane (CH₄) fugitive emissions from China's oil and gas systems are of increasing concern. Fugitive emissions include equipment leaks, venting, and flaring and involve exploration, production, transportation, storage, and distribution of oil and gas resources. However, there is no uniform accounting method for methane fugitive emissions from oil and gas systems, and fugitive emissions have not been included in the national greenhouse gas inventory statistics. Using the relevant methods, methane fugitive emissions from China's oil and gas systems were estimated for the period from 1980-2020. The results showed that CH₄ fugitive emissions from oil and gas systems increased rapidly with the growth of production and consumption of oil and gas resources, from less than 0.6 million tons in 1980 to more than 2.6 million tons in 2020. CH₄ fugitive emissions from oil and gas systems reached approximately 0.6 million tons and 2.0 million tons, which were 1.38 and 16.6 times larger than those in 1980, respectively. Fugitive emissions from oil and gas systems originated primarily from gas production, oil production, gas transportation, and storage, accounting for 41%, 20%, 18%, and 13% of total emissions, respectively. Gas pipelines were the main fugitive facilities. The emission intensity of unconventional oil and gas resource exploration was higher compared to conventional resource exploration. This study improved the CH₄ fugitive emission inventory, which could provide solid scientific data for CH₄ reduction.</p>","PeriodicalId":172067,"journal":{"name":"Huan jing ke xue= Huanjing kexue","volume":"43 11","pages":"4905-4913"},"PeriodicalIF":0.0,"publicationDate":"2022-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40707852","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Atmospheric NH₃ Emission Inventory and Its Tempo-spatial Changes in Xiamen-Zhangzhou-Quanzhou Region from 2015 to 2020].","authors":"Xiang Li,&nbsp;Shui-Ping Wu,&nbsp;Bing-Qi Jiang,&nbsp;Yi-Jing Liu","doi":"10.13227/j.hjkx.202202006","DOIUrl":"https://doi.org/10.13227/j.hjkx.202202006","url":null,"abstract":"<p><p>Based on the district and county activity level data of different types of atmospheric ammonia (NH₃) emission sources in the Xiamen-Zhangzhou-Quanzhou (XZQ) Region and the modified emission factors, an ammonia emission inventory with a spatial resolution of 1 km×1 km in 2017 was established. In addition, the annual variations in NH₃ emission from 2015 to 2020 in this region were analyzed. The results showed that the emission of NH₃ in the XZQ Region in 2017 was 27.40 kt with livestock and poultry breeding, farmland ecosystem, human emission, fuel combustion, and waste treatment accounting for 42.48%, 22.04%, 14.71%, 7.08%, and 5.69% of the total emission, respectively. The order of emission density of NH₃ was Xiamen (1.94 t·km^-2)>Quanzhou (1.07 t·km^-2)>Zhangzhou (0.95 t·km^-2). High values of emission density were mainly concentrated in the coastal urban areas with a concentrated population and the inland township areas with developed livestock and poultry breeding and planting industries. The monthly variation in NH₃ emissions was consistent with the pattern of temperature change, with high values in summer. Due to the different economic structure and development level in different cities, NH₃ emissions in Quanzhou City showed a decline from 2015 to 2020, whereas there were fluctuations in the trends of ammonia emissions in Xiamen and Zhangzhou cities. The relationship between NH₃ emission intensity and per capita GDP was significantly negative.</p>","PeriodicalId":172067,"journal":{"name":"Huan jing ke xue= Huanjing kexue","volume":"43 11","pages":"4914-4923"},"PeriodicalIF":0.0,"publicationDate":"2022-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40707853","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Distribution of Microplastic and Antibiotic Resistance Gene Pollution in Jiulong River Estuary].","authors":"Hong Cheng,&nbsp;Rong Chen","doi":"10.13227/j.hjkx.202206008","DOIUrl":"https://doi.org/10.13227/j.hjkx.202206008","url":null,"abstract":"<p><p>Pollution from microplastics (MPs) and antibiotic resistance genes (ARGs) is prevalent in estuarine regions. MPs may also enrich ARGs and increase the spread of ARGs. This study investigated the distribution characteristics of MPs in surface water and sediments from different stations in Jiulong River estuary for the first time, determined eight common ARGs abundance in each sample, and analyzed the correlation between MPs content and ARGs abundance. The results showed:① MPs concentrations in the Jiulong River estuary water environment ranged from 2 to 66 n·L^-1, and the sediment content range (dw) was 8 to 85 n·kg^-1. The main materials of MPs detected were polypropylene (PP), polystyrene (PS), and polyethylene (PE). More than 85% of the MPs were smaller than 1 mm. ② The predominant ARGs in the estuary were tetracycline resistance genes <i>tetC</i> and <i>tetG</i> and sulfonamide resistance gene <i>sul2</i>; the relative abundance of ARGs in the surface water showed a significant negative correlation with salinity. ③ A positive correlation existed among MPs concentration, ARGs relative abundance, and class1 integron gene<i>intI1</i>, which implied that MPs may promote the spread of ARGs in seawater.</p>","PeriodicalId":172067,"journal":{"name":"Huan jing ke xue= Huanjing kexue","volume":"43 11","pages":"4924-4930"},"PeriodicalIF":0.0,"publicationDate":"2022-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40707854","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Effects of Interaction of Zinc and Cadmium on Growth and Cadmium Accumulation of <i>Brassica campestris</i> L.]","authors":"Zu-Ping Shuai,&nbsp;Han-Yi Liu,&nbsp;Hao Cui,&nbsp;Shi-Qiang Wei","doi":"10.13227/j.hjkx.202201202","DOIUrl":"https://doi.org/10.13227/j.hjkx.202201202","url":null,"abstract":"<p><p>The interaction between different elements is an efficient means to control the heavy metal accumulation in crops. Phosphorus (P) and zinc (Zn), as essential nutrient elements of plants, have been shown to have important impacts on cadmium (Cd) accumulation in crops through interactions with each other. However, the function of the simultaneous interaction of P, Zn, and Cd on vegetable growth and Cd accumulation remains unclear. Herein, using a single-factor level design with two alternating fixed factors, pot experiments were conducted to study the impact and mechanism of this simultaneous interaction at different levels of P, Zn, and Cd on <i>Brassica campestris</i> L. growth, antioxidant enzyme activity, and Zn and Cd accumulation with neutral purple soil as the substrate. The results showed that the addition of an appropriate amount of P and Zn could promote the growth of <i>Brassica campestris</i> L. and inhibit its Cd accumulation, through different mechanisms. P mainly reduced the Cd availability in soil and improved the crop resistance, whereas Zn mainly promoted the dilution effect by the crop growth and its physiological antagonism. The antioxidant capacity of <i>Brassica campestris</i> L. was significantly inhibited when 1 mg·kg^-1 exogenous Cd was added to the soil, along with decreased activities of CAT and POD and high accumulation of MDA. Notably, both P and Zn could improve the antioxidant capacity and relieve Cd toxicity by increasing CAT activity, without obviously influencing POD activity. The highest yield of <i>Brassica campestris</i> L. (55.72 g·pot^-1) was attained when the ratio of stress concentration for exogenous P, Zn, and Cd[<i>ω</i>(Cd):<i>ω</i>(Zn):<i>ω</i>(P)] was 1:10:200. Furthermore, the Cd content in the edible part was also lower than the national standard requirement of 50 μg·kg^-1for Cd in green leafy vegetables (GB 2762-2017). In addition, the accumulation of Cd was further decreased when the proportion of P and Zn was increased, along with a decreased yield of the vegetable. Therefore, a proper application of P and Zn fertilizers could simultaneously reduce Cd accumulation and increase crop yield and thus contribute to achieving safe vegetable production.</p>","PeriodicalId":172067,"journal":{"name":"Huan jing ke xue= Huanjing kexue","volume":"43 11","pages":"5234-5243"},"PeriodicalIF":0.0,"publicationDate":"2022-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40487596","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Rapid Detection of Trace Enrofloxacin and Ciprofloxacin in Drinking Water by SERS].","authors":"Jing Xu,&nbsp;Hong Zheng,&nbsp;Jiang-Long Lu,&nbsp;Guo-Kun Liu","doi":"10.13227/j.hjkx.202205083","DOIUrl":"https://doi.org/10.13227/j.hjkx.202205083","url":null,"abstract":"<p><p>In recent years, the abuse of antibiotics has led to the spread and diffusion of antibiotic resistance genes in the environment, which poses a potential threat to the ecosystem and human health. In particular, the related reports of antibiotic contamination in drinking water have aroused great social concerns. Therefore, realizing the rapid detection of trace antibiotics in emergency events has become a research hotspot. Here, in combination with magnetic solid phase extraction (MSPE), we established a rapid detection strategy for ng·L^-1 level quinolones in drinking water using surface-enhanced Raman spectroscopy (SERS). With the help of the high enrichment capacity provided by the high adsorption capacity of the magnetic graphene oxide composite nanomaterial (Fe₃O₄@SiO₂-GO), the spiked detection of 1.0 ng·L^-1 enrofloxacin (ENR) and 5.0 ng·L^-1 ciprofloxacin (CIP) in drinking water was successfully achieved, with recoveries ranging from 77.5% to 91.5%, which met the current requirements of drinking water testing. For environmental water samples such as lake water, the selectivity of extraction materials needs to be further improved due to the strong interference of the complex organic matrix.</p>","PeriodicalId":172067,"journal":{"name":"Huan jing ke xue= Huanjing kexue","volume":"43 11","pages":"4982-4991"},"PeriodicalIF":0.0,"publicationDate":"2022-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40722524","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Spatial and Temporal Distribution and Source Variation of Heavy Metals in Cultivated Land Soil of Xiangzhou District Based on EBK Interpolation Prediction and GDM Model].","authors":"Hao-Ran Gao,&nbsp;Yong Zhou,&nbsp;Jia-Kang Liu,&nbsp;Xiao-Ming Cheng,&nbsp;Song Guo,&nbsp;Yan Jiang,&nbsp;Heng-Xin Tan","doi":"10.13227/j.hjkx.202202068","DOIUrl":"https://doi.org/10.13227/j.hjkx.202202068","url":null,"abstract":"<p><p>In order to explore the spatial and temporal changes in spatial patterns and source changes in heavy metals in Xiangzhou District, 395 and 326 soil samples were collected from cultivated soil in Xiangzhou District in November 2009 and November 2019, respectively. The contents of Cr, Pb, As, Hg, and Cd during these two years were measured. The spatial pattern and variation distribution of five types of heavy metals during these two years were obtained by using the empirical Bayesian Kriging (EBK) method. The effect (<i>q-</i>statistic) of 19 environmental factors and 5 types of heavy metals was calculated by using the geographical detector model (GDM), and the changes over the two years were compared. The results showed that compared with that in 2009, the heavy metal contents of Cr, Pb, Hg, and As in Xiangzhou District were decreased as a whole in 2019, whereas the Cd content increased overall. The spatial differentiation of heavy metals in the soil in Xiangzhou District in 2019 was more complicated than that in 2009. Pb, Hg, and Cd in the south and Hg in the central urban area and surrounding areas also increased. The content of each element decreased to the north and northwest. Compared with that in 2009, the explanatory power of natural factors and the distance between pollution enterprises on the single factor of the five soil heavy metal contents in 2019 decreased, and the influence on the contents under the control of single factors decreased significantly. The superposition influence of human activity factors increased, especially the distance between residential land, road, and land for pollution enterprises and environmental factors on soil heavy metal elements. These results indicated that the changes in soil heavy metal sources in 2019 tended to be complex, with structural factors as the main influencing factor. The influence of the emission of polluting enterprises on heavy metal elements decreased, whereas the influence of human activities on heavy metal content increased.</p>","PeriodicalId":172067,"journal":{"name":"Huan jing ke xue= Huanjing kexue","volume":"43 11","pages":"5180-5191"},"PeriodicalIF":0.0,"publicationDate":"2022-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40487591","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Identification of Soil Heavy Metal Sources Around a Copper-silver Mining Area in Ningxia Based on GIS].","authors":"Kou-Kou Zhang,&nbsp;Jing He,&nbsp;Yan-Xia Zhong,&nbsp;Qi-Qi Wei,&nbsp;Feng Chen","doi":"10.13227/j.hjkx.202201113","DOIUrl":"https://doi.org/10.13227/j.hjkx.202201113","url":null,"abstract":"<p><p>This study area was based on the catchment area of the Yaoxianzi ditch located in the arid region of western China. A total of 194 topsoil samples of 0-20 cm depth were collected using the mesh distribution method. The contents of nine heavy metals (Ni, Cu, Zn, As, Ag, Cr, Cd, Hg, and Pb) were determined using ICP-MS. The source and spatial distribution of heavy metals were analyzed using PMF and IDW. Spatial autocorrelation and clustering and outlier analysis were performed using the Spatial Statistical Analysis tool of ArcGIS. The main sources and distribution areas of heavy metals in the soil were obtained through comprehensive analysis. In the study area, the average values of Hg, Ag, Cd, and Pb were 20.48, 3.13, 2.23, and 1.12 times the background values, and the maximum values of Cd, Cu, Pb, and As were 10.92, 5.52, 2.03, and 1.39 times the filter values, respectively. The coefficients of variation of Cu, Cd, Pb, and Hg were ordered as Cu(283.23%)>Cd(224.77%)>Pb(144.40%)>Hg(67.12%) and were closely affected by human activities. The heavy metals in the soil around mining areas came from four main sources:natural parent material (32%), the mixed source of mining activities and transportation (17.1%), the mixed source of industrial activities and atmospheric sedimentation (40.3%), and the mixed source of agricultural activity and putting sandy gravel in farmland (10.6%). Cr and Ni, As and Cu, Hg, and Cd could represent these four sources of heavy metal pollution, respectively. The main sources of soil heavy metal pollution were mining activities and agricultural activities. The heavily contaminated areas were distributed in the mining areas in the south of the study area and in the planting areas in the eastern, central, and northwestern parts of the study area.</p>","PeriodicalId":172067,"journal":{"name":"Huan jing ke xue= Huanjing kexue","volume":"43 11","pages":"5192-5204"},"PeriodicalIF":0.0,"publicationDate":"2022-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40487592","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}