工业工程最新文献

{"title":"[Prediction of Heavy Metal Concentrations in PM_2.5 in the Agricultural Area of Yangtze River Delta Region Based on Machine Learning].","authors":"Hong-Yan Zhang, Hao Jin, Ying-Ping Mo, Hai-Ou Zhang, Chao Pan, Jian-Ling Fan","doi":"10.13227/j.hjkx.202407111","DOIUrl":"https://doi.org/10.13227/j.hjkx.202407111","url":null,"abstract":"<p><p>Heavy metals in PM_2.5 can considerably impact air quality, human health, and the ecological environment. However, studies on heavy metals in PM_2.5 in agricultural areas are relatively limited. In this study, observational data on heavy metal concentrations in PM_2.5 in the Yangtze River Delta Region from 2000 to 2020 were collected. Three machine learning-based prediction models for heavy metal concentrations in PM_2.5 were constructed to predict and analyze the regional pollution characteristics of six heavy metal elements （Pb, Cu, As, Cd, Zn, and Ti） in PM_2.5 in agricultural areas of the Yangtze River Delta. The results showed that none of the three machine learning models, random forest （RF）, support vector machine （SVM）, or gradient boosting machine （GBM）, exhibited good prediction performance when individually predicting the concentrations of heavy metal elements in PM_2.5 （<i>R</i>² &lt; 0.66 in nearly half of the models）. However, the performance improved significantly after integrating the three models with weighted averaging （<i>R</i>² &gt; 0.66 in all models）, which achieved quantitative prediction capabilities for the concentrations of the six metal elements （RPD &gt; 1.4）. The prediction results for the concentrations of heavy metals in PM_2.5 in agricultural areas of the Yangtze River Delta revealed that the average mass concentrations （ng·m^-3） of the six heavy metal elements were in the order of Zn &gt; Pb &gt; Cu/Ti &gt; As &gt; Cd, but significant differences were observed in their spatial-temporal distributions. The concentrations of Pb, Cd, As, and Zn in PM_2.5 decreased from 2015 to 2017, while the concentrations of Cu and Ti did not show significant temporal changes. Spatially, the concentrations of Pb, Cu, and Ti in PM_2.5 were higher in the northern areas of the Yangtze River Delta Region but lower in the south. The concentrations of As and Cd were higher in the mountainous areas of northern Anhui and western Zhejiang, while Zn concentrations were relatively high across all agricultural areas. These results provide an effective method for predicting regional heavy metal concentrations in atmospheric particulate matter and offer a reference basis for understanding the characteristics of atmospheric particulate matter pollution and regional pollution reduction efforts in agricultural areas of the Yangtze River Delta.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 8","pages":"5013-5022"},"PeriodicalIF":0.0,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144856609","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":"[Spatiotemporal Evolution and Prediction of Land Surface Thermal Environment in A Typical Ecological City from 1990 to 2020].","authors":"Xi-Tao Zhang, De-Cheng Zhou","doi":"10.13227/j.hjkx.202407004","DOIUrl":"https://doi.org/10.13227/j.hjkx.202407004","url":null,"abstract":"<p><p>Rapid urbanization leads to the exacerbation of the urban heat island （UHI） effect, which significantly increases the climate risk of urban heatwaves. The construction of ecological cities, which aim for harmonious development between humans and nature, can substantially mitigate the UHI effect. However, research on the long-term evolution of the land surface thermal environment in ecological urban areas is relatively scarce. Taking the typical ecological city of Suzhou, China as an example, this study analyzes the spatiotemporal evolution pattern of land use changes and land surface thermal environment effects in Suzhou from 1990 to 2020 and predicts the thermal environment for 2030 based on the PLUS model. The results showed that： ① The proportion of built-up areas increased by 3.72%, 11.66%, and 5.67% in 1990-2000, 2000-2010, and 2010-2020, respectively, with built-up land area accounting for 26.83% in 2020, predominantly from the conversion of farmland to built-up areas. ② The UHI intensity showed an increasing then decreasing trend during the study period, with nearly half of the regions experiencing a decrease in UHI levels from 2010 to 2020. ③ Spatially, areas with alleviated heat islands were mainly in the four county-level cities and Gusu District of Suzhou, and the built-up area in the 74.43% of areas with alleviated heat islands increased. ④ The urban heat island intensity of areas expected to change by 2030 is projected to increase by 42.65%, mainly concentrated in the southwest of Changshu City, the central part of Wuzhong District, and the central area of industrial parks on the urban edges and surrounding suburbs, while other areas will show a decreasing trend in heat island intensity. This study demonstrates that the construction of \"ecological cities\" in Suzhou has significantly reduced the UHI effect caused by urban expansion, providing theoretical references for further development of ecological cities.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 8","pages":"5196-5205"},"PeriodicalIF":0.0,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144856632","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":"[Spatiotemporal Coupling and Spatial Correlation Between Water Conservation and Human Activities in Counties of the Yellow River Basin].","authors":"Tian-Chao Jia, Qi Wen, Lin-Na Shi, Xin-Yan Wu, Jin-Mei Ding, Cai-Ting Shen, Zhi-Juan Hao, Yuan-Yuan Wan","doi":"10.13227/j.hjkx.202407241","DOIUrl":"10.13227/j.hjkx.202407241","url":null,"abstract":"<p><p>Quantitative evaluation of the coupling coordination and spatial correlation between water conservation and human activities is crucial for alleviating the contradiction between human beings and water and promoting the coordinated development of social-ecological systems in the Yellow River Basin. The InVEST model and human activity intensity （HAI） were used to quantitatively evaluate water conservation and human activities in the Yellow River Basin. The spatiotemporal coupling and spatial correlation between water conservation and human activities in the counties of the Yellow River Basin were analyzed by combining the coupling coordination degree and bivariate spatial autocorrelation. The results showed that： ① From 1980 to 2020, the water conservation in the Yellow River Basin showed a fluctuating upward trend, with an average annual water conservation of 5.823 14 billion m³, showing a spatial distribution pattern of higher water conservation in the upstream and downstream areas and lower water conservation in the middle reaches. ②From 1980 to 2020, the intensity of human activities in the Yellow River Basin showed a gradual upward trend, with the HAI value increasing from 0.143 4 in 1980 to 0.185 5 in 2020. The overall spatial distribution pattern of human activity intensity at the county level was high in the east and low in the west. ③From 1980 to 2020, the coupling coordination level between water conservation and human activities in the Yellow River Basin counties increased but remained in a state of imbalance, showing a dynamic evolutionary characteristic of \"moderate imbalance as the main body, with extreme and severe imbalance decreasing and mild and critical imbalance increasing\" and a spatial distribution pattern of high in the east and low in the west. ④ From 1980 to 2020, there was a spatial negative correlation between water conservation and human activities in the Yellow River Basin counties, and the negative effect intensified. The most important relationship type and the county with the largest decrease in number were low-low clusters.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 8","pages":"5112-5121"},"PeriodicalIF":0.0,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144856630","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":"[Impact of Distiller's Grain Ash on the Bacterial Community Structure of Acidic Purple Soil].","authors":"Yong-Qing Hu, Ming Gao, Xin-Ru Ding, Wen-Cai Dai, Huan Zhao, Ya-Rong Zhang, Liu-Yan Zhou, Yu-Xi Guo, Zi-Fang Wang","doi":"10.13227/j.hjkx.202406234","DOIUrl":"10.13227/j.hjkx.202406234","url":null,"abstract":"<p><p>Distillers' grains ash and biochar play a crucial role as ameliorants for improving the quality of acidic soils. To evaluate the impact of distillers' grains ash on the bacterial community structure in acidic purple soil, a field experiment was conducted with six treatments as follows： no fertilizer （CK）, chemical fertilizer alone （F）, lime + chemical fertilizer （LF）, organic fertilizer + chemical fertilizer （OF）, biochar + chemical fertilizer （BF）, and distillers' grains ash + chemical fertilizer （JF）. Illumina MiSeq high-throughput sequencing technology was employed to analyze the effects of different treatments on the physicochemical properties, bacterial community diversity, community structure, and functional groups of the acidic purple soil. The results showed that, compared to the CK treatment, all ameliorant treatments significantly increased the pH, available nutrients, organic matter, and soluble carbon content of the acidic purple soil （<i>P</i> &lt; 0.05）. The effects of different treatments on the bacterial richness index （Chao1 index） of acidic purple soil were as follows： JF&gt;OF&gt;CK&gt;F&gt;BF&gt;LF, while the bacterial diversity index （Shannon index） was： OF&gt;CK&gt;F&gt;JF&gt;BF&gt;LF. Principal component analysis （PCA） and <i>β</i>-diversity analysis indicated that different ameliorant treatments significantly altered the bacterial community structure of acidic purple soil （<i>P</i> = 0.001）. Compared to CK, the ameliorant treatments effectively increased the number of specific ASVs in the soil bacteria, with the JF treatment showing the most significant increase of 50.7%. The dominant bacterial phyla in all treatments were Actinobacteria, Proteobacteria, and Firmicutes, with the JF treatment effectively enriching functional bacterial groups beneficial for soil health and promoting crop growth, such as <i>Paeniglutamicibacter</i> and <i>Rhodococcus</i>. Mantel test, correlation heatmap, and redundancy analyses showed that soil organic matter, pH, and total organic carbon were the main environmental factors influencing the bacterial community structure, with soil pH having the most significant positive impact on bacterial community diversity. Overall, different soil ameliorants had varying mechanisms and effects on bacterial communities. The application of distiller's grains ash and biochar demonstrated superior effectiveness in improving the physicochemical properties of acidic purple soil and enhancing microbial activity, particularly increasing the abundance of Actinobacteria, making them excellent ameliorants for acidic soils.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 8","pages":"5369-5378"},"PeriodicalIF":0.0,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144856542","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":"[Pollution Assessment and Risk Area Delineation of Potential Toxic Elements in Cultivated Soils in Wujiang River Watershed of Guizhou Province Based on Bayesian Maximum Entropy Theory].","authors":"Ren-Zhi Xu, Zi-Han Zhou, Chen-Run Wu, Yan-Ling Huang, Bo Song","doi":"10.13227/j.hjkx.202407215","DOIUrl":"https://doi.org/10.13227/j.hjkx.202407215","url":null,"abstract":"<p><p>The assessment of the extent of contamination of potentially toxic elements （PTE） in arable soils and the delineation of high-risk zones are crucial steps in the development of effective prevention and control strategies. A large-scale investigation of soil PTE contents in farmland （cornfields and rice fields） in the Wujiang River Basin, Guizhou Province was conducted to explore the contamination degrees and risk area distribution through the influence index of the comprehensive quality of soil （IICQs） and Bayesian maximum entropy （BME） theory. The results showed that the concentrations of As, Cd, and Cu in corn soil and the concentrations of Cd, Hg, and Cu in paddy soil exceeded the risk screening values in 29.93%, 47.32%, 19.9%, 25.65%, 65.5%, and 16.34% of the samples, respectively. The concentration of PTE in soil exhibited a strong/moderate variation. The assessment of IICQs demonstrated that approximately 74.85% of the samples exhibited varying degrees of exceedance, with 33.42% of the polluted samples originating from Bijie City. Overall, the IICQs showed a clear downward trend from west to east along the flow direction of the Wujiang River Basin. According to BME theory, the area of PTE contamination risk area was 68.63% of the study area. Among them, 2.95%, 4.23%, and 8.32% of the risk area were at 95%, 90%, and 75% confidence levels, respectively. These areas were distributed in Hezhang County, Zhijin County, and Qianxi County of Bijie City and a small part of southern Zunyi City and central Guiyang City. The primary factors influencing the concentration of PTE in agricultural soil were the activities associated with metal mining and smelting. The results of the study provide a reasonable classification system and suggestions for the prevention and control of PTE pollution in farmland soils in the Wujiang River Basin of Guizhou Province.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 8","pages":"5249-5259"},"PeriodicalIF":0.0,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144856606","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":"Assessing resilience potentials in management of occupational safety and health in hospitals: Development and validation of a tool","authors":"J. Afonso-Fernandes ,&nbsp;J. Barbosa ,&nbsp;P. Arezes ,&nbsp;C. Pardo-Ferreira ,&nbsp;J.C. Rubio-Romero ,&nbsp;M.A. Rodrigues","doi":"10.1016/j.jnlssr.2025.100247","DOIUrl":"10.1016/j.jnlssr.2025.100247","url":null,"abstract":"<div><div>A resilient Occupational Safety and Health (OSH) management system is crucial for effectively addressing potential future public emergencies, ensuring the continuous protection of workers' safety and health. Therefore, it is essential for organizations, particularly hospitals, to assess their resilient performance and employ tools that are appropriate and tailored to their specific context. This study aims to enhance the understanding of resilience potentials in OSH management within hospital settings. To this end, an assessment tool was developed based on the Resilience Assessment Grid (RAG). A Delphi study involving subject matter experts was conducted to refine the tailored RAG tool. Following this, a pilot test was administered to 404 healthcare professionals across three public hospitals, with subsequent psychometric analysis. Exploratory Factor Analysis (EFA) identified a four-dimensional structure. Goodness-of-fit indices demonstrated acceptable values, confirming the adequacy of the measurement model. Reliability testing indicated that the 29 item assessment tool is both valid and reliable. The tailored RAG tool was successfully validated, enabling the identification of strengths and weaknesses in OSH management.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"7 1","pages":"Article 100247"},"PeriodicalIF":3.4,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144907288","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":"[Structure and Metabolic Function Characteristics of Soil Bacterial Communities under Different Vegetation Types in Arid Region].","authors":"Fang-Jiao An, Zi-Ru Niu, Ting-Na Liu, Yong-Zhong Su","doi":"10.13227/j.hjkx.202407230","DOIUrl":"10.13227/j.hjkx.202407230","url":null,"abstract":"<p><p>The aim of this study was to explore the effects of different vegetation types on soil bacterial community structure and metabolic function in an oasis-desert ecotone and provide scientific theoretical basis for species allocation and management of vegetation reconstruction in arid desert ecosystem. <i>Nitraria sphaerocarpa</i> Maxim and <i>Calligonum mongolicum</i> Turcz are the main natural vegetation, <i>Haloxylon ammodendron</i> Bunge, and <i>Hedysarum scoparium</i> Fisch are the primary artificial vegetation, and Ha-Cm are the main mixed community in an oasis-desert ecotone in northwest China. Understanding soil microbial community structure and function under typical vegetation types is crucial for accurate management and sustainable use of desert vegetation. We used high-throughput sequencing technology to explore the effects of different vegetation types on the structure, diversity, and metabolic pathways of soil bacteria and to investigate the key factors driving the change of soil bacterial community structure. The results showed that the growth of artificial vegetation and natural vegetation significantly increased the richness and diversity of the soil bacterial community, but no significant difference was observed. Metagenomic analysis showed that the same dominant bacterial phyla existed in all soils, but the proportions were different. Actinobacteriota, Proteobacteria, and Chloroflexi were the absolute dominant bacterial phyla, accounting for 65.12%-78.68% of the total bacteria. Principal co-ordinates analysis showed significant differences in soil bacterial community structure in the planted forest but similarities in the natural forest. The metabolic pathways of soil bacteria in different vegetation communities were similar. Soil organic carbon （SOC）, available phosphorus （AP）, and pH were important abiotic factors affecting the functional structure of bacteria. The findings are helpful for furthering the understanding of plant-soil interaction in ecologically fragile deserts.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 8","pages":"5360-5368"},"PeriodicalIF":0.0,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144856634","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 Polylactic Acid Microplastics （PLA-MPs） on Physicochemical Properties and Microbial Communities of Wheat Rhizosphere Soil].","authors":"Yan Zhang, Ming Dou, Song-Ze Hao, Ping Li, Yu-Ze Zhou, Zhi-Jie Liang","doi":"10.13227/j.hjkx.202407139","DOIUrl":"10.13227/j.hjkx.202407139","url":null,"abstract":"<p><p>Microplastics, as a new type of pollutant, have significant effects on the soil ecological environment. In order to investigate the effects of polylactic acid microplastics （PLA-MPs） on the physical and chemical properties of wheat rhizosphere soil and its microbial community structure, three contents （0.1, 0.5, and 1 g·kg^-1） and particle sizes （150, 1000, and 4000 μm） were set up for pot experiments. The results showed that the addition of PLA-MPs significantly increased the contents of ammonium nitrogen （NH₄⁺）, nitrate nitrogen （NO₃^-）, total phosphorus （TP）, and organic matter （OM） in rhizosphere soil and decreased the content of total nitrogen （TN） and pH value. For example, TP increased 19.046% and 21.075% at medium contents （0.5 g·kg^-1） and medium particle size （1 000 μm）, respectively. Compared with those of the control group （CK）, the richness and diversity of rhizosphere soil microorganisms were significantly decreased, and the decreases were greatest at high contents （1 g·kg^-1） and high particle size （4 000 μm）, respectively. The addition of PLA-MPs significantly increased the relative abundance of Actinobacteriota and Proteobacteria, while decreasing the relative abundance of Firmicutes, Gemmatimonadota, Myxococcota, and Bdellovibrionota. For example, the relative abundance of Actinobacteriota increased by 5.554% and 6.456% at medium contents （0.5 g·kg^-1） and low particle size （150 μm）, and the relative abundance of Firmicutes decreased by 2.721% and 3.727% at high contents （1 g·kg^-1） and low particle size （150 μm）, respectively. Compared with CK, PLA-MPs with different contents and particle sizes significantly reduced the number of biomarkers, and the reduction of biomarkers under low content （0.1 g·kg^-1） and medium particle size （1 000 μm） was the largest. A significant negative correlation was observed between pH and the dominant microorganisms at the phylum level and genus level of the microbial community and a significant positive correlation between NO₃^- and Bacillus, Firmicutes, and Gemmatimonadota at the <i>P</i> &lt; 0.001 level. The research results can provide certain data and theoretical basis for evaluating the effects of PLA-MPs on the soil microbial environment.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 8","pages":"5345-5359"},"PeriodicalIF":0.0,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144856575","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":"[Pollution Characteristics, Source Analysis, and Health Risk Assessment of Heavy Metals of Soil in a Certain Coal Mining Area of Western Jiangxi Province].","authors":"Fen Hu, Lie Jiang, Qiao-Hong Chen, Bao-Nan He","doi":"10.13227/j.hjkx.202405215","DOIUrl":"10.13227/j.hjkx.202405215","url":null,"abstract":"<p><p>To explore the pollution characteristics, sources, and possible human health risks of soil heavy metals in a coal mine concentration area near western Jiangxi. The Nemerow index method was used to evaluate the characteristics of soil heavy metal pollution in the study area, the correlation of soil heavy metal pollution characteristics was described based on a self-organizing neural network （SOM）, the PMF model was used to trace the soil heavy metal pollution, and the exposure risk model established by EPA was used for health risk assessment. The results showed that the average content of heavy metals in the six soils ranged from 0.25 to 47.47 mg·kg^-1, which were all higher than the soil environmental background value in Jiangxi Province. Only the mean Cd content was higher than the risk screening value in GB15618-2018, and all heavy metal coefficients of variation were relatively high. The Nemerow pollution assessment indicated that the soil around the study area was severely polluted by heavy metals, especially As, Hg, and Cd as typical representatives. SOM-K clustering showed that Cu, Ni, and Cd had good correlation； Cu, As, and Hg had strong correlation； and Pb had obvious differences with other elements. The health risk assessment showed that the hand-mouth ingestion was the main exposure route of heavy metals in soil in the study area. Children in the study area had non-carcinogenic and carcinogenic health risks, while adults had carcinogenic health risks, and children were more exposed to health risks than adults. The comprehensive non-carcinogenic risk indexes （HI） for children and adults were 1.52E+00 and 2.41E-01, respectively. Additionally, the comprehensive carcinogenic risk index （TCR） for children and adults was 4.48E-05 and 2.85E-05, respectively. As was the main contribution index of health risk in the study area. The source analysis showed that the heavy metal sources in the soil of the study area were influenced by industrial dust fall sources, natural sources, coal pollution sources, transportation sources, and agricultural production sources, and their contribution rates were 25.62%, 22.00%, 17.88%, 17.84%, and 16.66%, respectively. It was mainly affected by human factors, which was consistent with the result of the high variation coefficient of soil heavy metals in the study area. The research results can provide theoretical basis for the prevention and control of heavy metal pollution in the soil of the study area.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 8","pages":"5237-5248"},"PeriodicalIF":0.0,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144856607","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":"[Characterization of PM_2.5-O₃ Complex Pollution and Influencing Factors in Beijing-Tianjin-Hebei Region from 2015 to 2022].","authors":"Jia-Yi Liu, Yi-Fan Xu, Cai-Xian Huang, Run Liu","doi":"10.13227/j.hjkx.202407125","DOIUrl":"https://doi.org/10.13227/j.hjkx.202407125","url":null,"abstract":"<p><p>Based on hourly concentration data of PM_2.5 and ozone （O₃） from 2015 to 2022, as well as meteorological reanalysis data, this study categorized complex pollution days into light, moderate, and severe based on PM_2.5 concentration in the presence of O₃ pollution. It examined the temporal evolution and meteorological characteristics of different levels of complex pollution in the Beijing-Tianjin-Hebei （BTH） Region. The results indicated that the number of light, moderate, and severe complex pollution days were 149, 120, and 52, respectively, primarily concentrated in April and June. Changes in meteorological factors can affect pollutant concentrations, similar to O₃ formation conditions, high temperatures, strong solar radiation, and low humidity-facilitated complex pollution as well. Additionally, extensive and intense downdrafts further exacerbated complex pollution. The ventilation coefficient for severe complex pollution was higher than that for moderate pollution, suggesting that the transportation of pollutants may be a key factor in exacerbating complex pollution. The intensification of complex pollution was accompanied by a substantial increase in the contrabution rate of secondary PM_2.5.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 8","pages":"4993-4999"},"PeriodicalIF":0.0,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144856572","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}