工业工程最新文献

{"title":"[VOCs Emission Retrieval in Industrial Parks Based on the ADMS Model].","authors":"Ou Yan, Ti-Jian Wang, Zhao-Yuan Ruan, Gen-Hui Ma, Xiang-Yu Sheng, Yu-Zheng Wang","doi":"10.13227/j.hjkx.202401037","DOIUrl":"https://doi.org/10.13227/j.hjkx.202401037","url":null,"abstract":"<p><p>To estimate the emission strength of volatile organic compounds （VOCs） from enterprises at an industrial park scale, this study established a VOC source estimation method based on small-scale air quality modeling （ADMS） and mobile monitoring data. First, hourly meteorological data was used to identify the enterprises along the vehicle path based on wind direction. The impact of enterprise emissions on the concentration at the mobile monitoring points was calculated using ADMS. Simulation results were compared with observed values to quantify the VOC source strengths of different enterprises. Further inversion experiments were conducted based on mobile monitoring data from Shenyang Economic Development Zone from July 28th to August 10th, resulting in the hourly emission strengths of the top ten enterprises. In this study, two time periods, from 10：00 to 11：00 on July 28th and from 10：00 to 11：00 on July 29th, exhibited higher emissions from enterprises, primarily from those related to furniture manufacturing. Additionally, emissions from VOCs exceeded 100 g·s^-1 in three of the enterprises. Validation of the model tracing results was conducted based on observational data and the results indicated a good correlation between simulated and observed values. The source apportionment method established in this study provides a novel approach for quantifying emission strength of VOCs in industrial parks, offering a scientific basis for precise control of atmospheric pollution emissions in industrial park areas.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 3","pages":"1340-1349"},"PeriodicalIF":0.0,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143670094","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":"[Characteristics of Easily Oxidized Soil Carbon Content and Carbon Pool Management Index in Typical Climate Zones in Eastern China].","authors":"Yi-Jun Xu, Xiang-Bi Chen, Jun Wang, Ling Xie, Wan-Qing Liu, Xiao-Fang Zhang, Xun Duan, Chong Ma, Hang Qiao, Ya-Jun Hu, San-An Nie","doi":"10.13227/j.hjkx.202403196","DOIUrl":"https://doi.org/10.13227/j.hjkx.202403196","url":null,"abstract":"<p><p>Climate and land use are important factors affecting the soil carbon pool and organic carbon influx. To explore the characteristics of active organic carbon content and carbon pool management index in farmland soils in typical climate zones, two types of farm land （dry land and paddy fields） and adjacent forest soils in four climate zones （temperate, warm temperate, subtropical, and tropical） in eastern China spanning north to south were selected for study. The permanganate oxidizable carbon （POXC） content in each climate zone was analyzed, and the soil lability of carbon （<i>L</i>）, soil lability index （LI）, carbon pool index （CPI）, and carbon pool management index （CMI） under each land use type were calculated. The following trends were observed across the three land use types： Soil POXC content was generally slightly higher in the north than in the south and consistently higher in paddy fields than in dry lands. <i>L</i> was significantly higher in warm-temperate regions than in the other three climatic regions. This suggests that soils in warm temperate regions （primarily fluvio-aquic soils） and paddy field soils have high organic carbon activity and soil carbon pool quality. However, measures to avoid soil organic carbon （SOC） loss during agricultural use must be crucially implemented. Paddy field soils exhibited higher CPI values than dry land soils across all four climatic regions. Specifically, the CPI of paddy fields was &gt;1 in all regions, whereas dry lands had carbon pool indices of &lt;1, except in the warm temperate region. This indicates that long-term paddy field cultivation enhanced organic carbon soil stocks, whereas long-term dry land farming reduced them compared with those in adjacent forested areas. Except for the subtropical dry lands, the average CMI for both types of farmland soil in all four climatic regions was &gt;100. Furthermore, the index was higher in paddy fields than in adjacent dry lands and higher in the north than in the south, suggesting that long-term agricultural use can improve SOC quality, thereby promoting the conversion and supply of soil organic nutrients. Correlation analysis revealed significant positive correlations between POXC and SOC, total nitrogen, pH, and sand and significant negative correlations with clay, silt, mean annual temperature （MAT）, and mean annual precipitation （MAP）. CMI correlated positively with pH and sand and negatively with MAT and MAP. These findings provide a scientific basis for understanding the impacts of long-term agricultural use on soil carbon pool activity and soil quality in the typical climatic regions of eastern China. This can guide appropriate agronomic management practices aimed at enhancing carbon pool management.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 3","pages":"1729-1736"},"PeriodicalIF":0.0,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143671091","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":"[Analysis and Prediction of Ecological Vulnerability of the Central Plains Urban Agglomeration Based on the SRP Model].","authors":"Zong-Ze Zhao, Qian Ma, Yi Wang, Chao Ma, Hong-Tao Wang","doi":"10.13227/j.hjkx.202403011","DOIUrl":"https://doi.org/10.13227/j.hjkx.202403011","url":null,"abstract":"<p><p>The analysis and prediction of ecological vulnerability of the Central Plains Urban Agglomeration, as a demonstration area for green ecological development planning, is important for understanding the current status and future development trends of the ecological environment in this region. This article is based on the \"sensitivity-resilience-pressure\" （SRP） model, selecting multi-source remote sensing spatial statistical data, using the entropy weight method to determine the weights of each index, and constructing an evaluation index system for the ecological vulnerability of the Central Plains Urban Agglomeration. This study analyzed the spatial distribution and temporal changes of ecological vulnerability in the study area from 2005 to 2020. With the help of the geographical detector model, the driving factors of ecological vulnerability in the study area were explored and combined with the CA-Markov model to predict the ecological vulnerability status in 2025. The results showed that： ① The Central Plains urban agglomeration was primarily characterized by mild vulnerability, exhibiting a spatial trend of higher vulnerability in the northwest and lower in the southeast. Over time, it displayed an evolutionary trend of first increasing and then decreasing. ② Regardless of whether the level of ecological vulnerability increased or decreased, each level tended to undergo large-scale transitions toward the nearest level, with the most important changes occurring in the severe vulnerability level. ③ Building area percentage, biological abundance, fractional vegetation cover, population density, and gross domestic product （GDP） were notable influencing factors that contributed to the ecological vulnerability of the Central Plains urban agglomeration, and the interaction between all these indicators had significantly increased. ④ The predictive results for 2025 showed a downward trend in ecological vulnerability, indicating an improvement in the ecological environment.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 3","pages":"1621-1632"},"PeriodicalIF":0.0,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143671129","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":"[Differentiation Impact of Urban Form on Heat Island Intensity Along Urban Development Gradients in Zhengzhou].","authors":"Sen Wang, Sui-Ping Zeng, Jun-Mo Lu, Namaiti Aihemaiti, Jian Zeng","doi":"10.13227/j.hjkx.202403029","DOIUrl":"https://doi.org/10.13227/j.hjkx.202403029","url":null,"abstract":"<p><p>The impact mechanism of urban form on heat island intensity （HI） is a core issue of research attention. Existing achievements have mostly focused on the correlation between urban form and thermal environment. Research on the differences along urban development gradients, and research on marginal effects and optimization paths under gradient differences is relatively scarce. This study considered the central urban area of Zhengzhou as an example, based on multi-source data such as Landsat remote sensing images and NPP-VIIRS satellite night light remote sensing images, and introduced a gradient-enhanced regression tree model to improve the DEMATEL-ISM method, exploring the gradient differences and marginal effects of urban morphology on heat island intensity. The results showed that： ① From 2006 to 2020, the HI decreased with the increase in urban development gradient, and the increasing trend slowed down annually. ② The gradient difference between urban form and HI was significant. The green space form index always had a strong impact on HI, among which, NDVI was the most significant variable within each gradient, and the impact intensity of the construction land pattern index increased significantly with the increase in gradient, whereas the role of building combination form index weakened accordingly. ③ According to the ISM model, a four story-three order structural model of urban form indicators was obtained. The construction land pattern indicator within the high intensity construction gradient was the root cause order, and the building combination form indicator within the low intensity construction gradient was the root cause order. ④ The differences in the marginal effect of urban form along the gradient were significant. As the value of the indicator increased, its impact intensity and direction would change. There were differences in the key indicators and threshold ranges that affected the intensity of HI within different gradients. The study proposes a marginal optimization method for urban form based on the improvement of the urban thermal environment under the differences along urban development gradients, providing refined practical reference for orderly urban expansion and coordinated urban-rural development.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 3","pages":"1924-1936"},"PeriodicalIF":0.0,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143671217","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 Different Metal Elements on Cadmium Uptake Under Wheat-rice Rotation Condition].","authors":"Jing Tian, Zhen-Bo Wang, Jian-Kang Zhou, Hai-Kuan Cheng, Chang Li, Hong-En Liu, Fu-Qing Sui, Peng Zhao","doi":"10.13227/j.hjkx.202403038","DOIUrl":"https://doi.org/10.13227/j.hjkx.202403038","url":null,"abstract":"<p><p>The accumulation of cadmium （Cd） in the food chain poses a serious threat to human health. To explore the possible heavy metal cation inhibitor, a pot experiment was developed to research the addition of Fe, Mn, Zn, and Mg on Cd uptake and accumulation in wheat and rice. Soil Cd content was artificially added to 5 mg·kg^-1 and aged for one month. Fe, Mn, and Zn were added as metal chlorides at a ratio of 100 mg·kg^-1 and Mg for 300 mg·kg^-1. The main results were： ① Zn supplementation significantly enhanced the grain biomass of wheat and rice； ② Zn remarkably reduced the grain Cd content in wheat and rice, with a decrease of 41% and 23% in wheat and rice grain Cd content compared with that in the control, respectively, without yield penalty； and ③ In the wheat-rice rotation mode, the grain Cd content in rice was notably lower than that in wheat, with a reduction to 0.17 mg·kg^-1 for <i>ω</i> （Cd）, which was below the rice Cd limit value （0.2 mg·kg^-1） specified by the national food safety standard （GB 2762-2022）. Collectively, these findings suggest that the application of Zn in a wheat-rice rotation system significantly mitigate Cd accumulation in grains, with rice exhibiting a more pronounced effect. These results hold notable implications for the safe utilization of Cd-contaminated farmland and ensuring food security.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 3","pages":"1806-1814"},"PeriodicalIF":0.0,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143671241","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":"[Influencing Factors and Decoupling Effects of Agricultural Carbon Emissions in the Yangtze River Economic Belt].","authors":"Yu-Liang Cao, Xun Ni, Hong-Yu Gong","doi":"10.13227/j.hjkx.202403263","DOIUrl":"https://doi.org/10.13227/j.hjkx.202403263","url":null,"abstract":"<p><p>In the context of the era when new quality productivity is promoting the construction of an agricultural power, sorting out the rising path of agricultural carbon in the Yangtze River Economic Belt and clarifying issues, such as agricultural carbon height and carbon decoupling are important to promoting the \"double carbon\" process in the agricultural field. A statistical model of agricultural carbon emissions was established to measure the agricultural carbon emissions of 11 provinces （municipalities） in the Yangtze River Economic Belt from 2000 to 2022. On the basis of clarifying the spatial and temporal distribution characteristics and reduction of agricultural carbon emission intensity, the LMDI model was used to analyze agricultural carbon emissions. Second, we constructed models of decoupling in terms of speed and quantity and explored the decoupling relationship between the most influential factors with the strongest driving effect and agricultural carbon emissions. The results showed that during the study period, the total agricultural carbon emissions in the Yangtze River Economic Belt first increased and then decreased, and the major emission sources were straw burning, grain planting, livestock breeding, and agricultural material input. The level of economic development was the major factor leading to the increase in agricultural carbon emissions. Although the improvement of agricultural production efficiency inhibited the increase in carbon emissions caused by the growth of output value to a certain extent, the total inhibitory effect was lesser than the total promotion effect. From the perspective of double decoupling, the region has not yet reached a stable and strong decoupling state between agricultural carbon emissions and economic income growth of farmers. Based on this, suggestions for pollution reduction and carbon sequestration, clean production, and green transformation are put forward, respectively, for the planting industry, breeding industry, and agricultural product supply chain in the upstream, midstream, and downstream regions.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 3","pages":"1535-1547"},"PeriodicalIF":0.0,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143671306","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 Microbial Community Structure in Long-term Polycyclic Aromatic Hydrocarbon-contaminated Soil].","authors":"Yang-Yang Jiao, Ting Wu, Rui Li, Gao-Peng Bian, Hai-Hua Jiao, Zhi-Hui Bai","doi":"10.13227/j.hjkx.202401153","DOIUrl":"https://doi.org/10.13227/j.hjkx.202401153","url":null,"abstract":"<p><p>Characterizing the structure of soil microbial communities in natural habitats chronically contaminated with polycyclic aromatic hydrocarbons （PAHs） contributes to the understanding of potential risks and changes in ecological functions of contaminated soils. Microorganisms are facilitators of material cycling and functional stability in soil ecosystems. Few studies are available on the microbial community structure of soil contaminated with long-term high concentrations of PAHs. In this study, we investigated the effects of PAHs on soil microbial community structure in natural habitats using field surveys and high-throughput sequencing analysis of 16S rRNA genes in agricultural soils contaminated with PAHs around a coking plant in Shanxi. The results showed that soil microorganisms were diverse （40 phyla, 769 genera, and 1610 species）. Proteobacteria, Actinobacteria, Chloroflexi, Acidobacteria, and Gemmatimonadetes were the dominant taxa, with a total abundance of 79.8%. No obvious dominant taxa was observed at the genus and species levels. Electrical conductivity （EC）； pH； total organic matter （TOC）； total potassium （TK）； fast-acting potassium （AK）； and Dibenzo（a,h）anthracene （DaA）, Benzo（a）anthracene （BaA）, and Anthracene （Ant） were the first drivers of the microbial community （<i>R</i>²≥ 0.10）. Soluble phosphorus （AP）； fast-acting nitrogen （AN）； and Acenaphthylene （Acy）, Benzo（b）fluoranthene （BbF）, Fluoranthene （Fla）, and Pyrene （Pyr） were the second drivers （0.05 ≤ <i>R</i>² &lt; 0.10）. Total nitrogen （TN）； total phosphorus （TP）； and Phenanthrene （Phe）, Benzo（a）pyrene （BaP）, Chrysene （Chry）, Benzo（k）fluoranthene （BkF）, and Indeno（1,2,3-cd）pyrene （InP） were the third driving factors （<i>R</i>² &lt; 0.05）. The study will provide some theoretical basis for the research of ecological risk management and microbial remediation technology of PAHs-contaminated soil.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 3","pages":"1885-1896"},"PeriodicalIF":0.0,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143671093","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 Organic Materials Applied to Saline Soil on Crop Growth and Soil Saline-alkali Index].","authors":"Xiao-Juan Yang, Hao He, Li-Yang Cheng, Xiang-Jie Chang, Shuai Li, Meng-Meng Yu, Bin-Quan Wang, Jun-Hua Li","doi":"10.13227/j.hjkx.202403269","DOIUrl":"https://doi.org/10.13227/j.hjkx.202403269","url":null,"abstract":"<p><p>To provide a theoretical basis for the scientific application of organic materials in salinized soil and the improvement of soil quality and to explore the response phenotype of an organic material-salinized soil-plant system, the salinized soil in Xinjiang was considered as the research object, and cotton, rape, and oil sunflower were considered as the test crops. Six treatments, including the control group, microbial agent, humic acid, organic fertilizer, biochar, and straw, were set up for indoor culture experiments. The effects of different organic materials on the growth of cotton, oil sunflower, and rape crops and soil saline-alkali indexes under moderate salinization soil conditions were analyzed, and the combinations with certain improvement effects were screened out. This provided a certain experimental basis for the application and promotion of organic materials in Xinjiang. The results showed that, compared with that under the control treatment, the application of the microbial inoculant, organic fertilizer, and biochar had a significant effect on crop growth. At 60 d of emergence, the dry weight of cotton after the application of the microbial inoculant, organic fertilizer, and biochar increased by 41%, 43%, and 25%, respectively. The dry weight of oil sunflower increased by 5%, 13%, and 27%, respectively. The dry weight of rape increased by 113%, 104%, and 83%, respectively. After the application of organic fertilizer and biochar, the emergence rate of cotton and rape increased by 14.3% and 10.2%, respectively, and 26.50% and 20.82%, respectively. Taking the results of the soil salt-alkali index analysis at 60 d after seedling emergence as an example, the application of the microbial agent and straw had no significant effect on the total amount of water-soluble salt in the soil, whereas the application of humic acid, organic fertilizer, and biochar increased the total amount of water-soluble salt in the soil. The application of the microbial agent and straw could reduce soil pH, and the application of humic acid and biochar could increase soil pH. Soil electrical conductivity of all organic materials increased and humic acid treatment increased the most significantly. The effect of the microbial agent and straw treatment on soil alkalinity was the best, whereas the other treatments showed no significant difference. Straw could reduce soil sodium adsorption ratio, and humic acid and organic fertilizer could increase the soil sodium adsorption ratio. In summary, it is recommended to apply microbial agents, organic fertilizers, and biochar to saline soil for the purpose of promoting crop growth, and to apply a microbial agent and straw to saline soil for the purpose of improving soil quality.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 3","pages":"1751-1761"},"PeriodicalIF":0.0,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143671175","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":"[Impacts of Online Measurements of Organic Molecular Markers as Input Species for PM_2.5 Source Apportionments: A Case Study in Hangzhou During the 19^th Asian Games].","authors":"Shu-Hui Zhu, Cong-Yan Huang, Yong Lai, Yu-Hang Wu, Ren-Chang Yan, Jian-Dong Shen, Jun-Jie Tian, Ya-Qin Gao, Ying-Ge Ma","doi":"10.13227/j.hjkx.202404043","DOIUrl":"https://doi.org/10.13227/j.hjkx.202404043","url":null,"abstract":"&lt;p&gt;&lt;p&gt;Positive matrix factorization （PMF） is one of the most widely used receptor models for PM&lt;sub&gt;2.5&lt;/sub&gt; source apportionment. The traditional PMF method generally uses inorganic （such as nitrate, sulfate, and EC） measurement data as input species to apportion PM&lt;sub&gt;2.5&lt;/sub&gt; sources. These species have ambiguous source origins； thus quantifying PM&lt;sub&gt;2.5&lt;/sub&gt; sources with high source sectors is difficult. In this study, online measurements of major chemical components, elemental tracers, as well as organic molecular markers were applied in a PMF model to investigate the differences between the major chemical components-based PMF （MCC） and organic molecular markers-based PMF （OMM） methods in terms of source identification, source separation, and source quantification. The results showed that with the input of organic molecular markers （such as polycyclic aromatic hydrocarbons, fatty acids, dicarboxylic acids, hydroxyl-dicarboxylic acids, C&lt;sub&gt;9&lt;/sub&gt; acids, and phthalic acid）, the OMM method greatly enlarged the number of source factors identified. Further, industry emission, shipping emission, dust, vehicle emission, biomass burning, secondary nitrate, and secondary sulfate； two primary source factors （coal combustion and cooking emission）； and four secondary organic aerosol （SOA） source factors were also resolved in the OMM method. Comparing with the source profiles resolved by the MCC method, we found that OC/EC mass ratios in OMM-resolved source profiles of industry emission, vehicle emission, biomass burning, and coal combustion were closer to those obtained from emission inventories. In terms of source quantification, the mass contributions of vehicle emission and biomass burning resolved by the MCC method were notably higher than those resolved by the OMM method, especially under high O&lt;sub&gt;3&lt;/sub&gt; concentrations （&gt; 120 μg·m&lt;sup&gt;-3&lt;/sup&gt;）. This suggests that without the input of specific organic molecular markers, the MCC method was inclined to apportion parts of secondary source contributions into primary sources （such as vehicle emission and biomass burning）. We further quantified and compared PM&lt;sub&gt;2.5&lt;/sub&gt; source contributions in Hangzhou before, during, and after the 19&lt;sup&gt;th&lt;/sup&gt; Asian Games with the application of the OMM method. Our results showed that the percentage contributions of vehicle emission, industry emission, and dust dropped by 65%, 24%, and 24%, respectively, during the Games. Anthropogenic SOA and aged SOA also displayed significant decreases in mass contributions during the Games by 35% and 49%, respectively, due to the emission reduction of volatile organic compounds （VOCs）. These results imply that PM&lt;sub&gt;2.5&lt;/sub&gt; pollution can be effectively controlled with the implementation of emission reduction measures. Our study also revealed that online measurements of organic molecular markers are important for improving PM&lt;sub&gt;2.5&lt;/sub&gt; source apportionment results and formulating pollution control policie","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 3","pages":"1314-1325"},"PeriodicalIF":0.0,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143671304","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":"[Soil Carbon Restoration and Its Influencing Factors in Coal Mining Areas of Yellow River Basin: A Meta-analysis].","authors":"Hong-Wei Sun, Mei-Fang Yan","doi":"10.13227/j.hjkx.202401155","DOIUrl":"https://doi.org/10.13227/j.hjkx.202401155","url":null,"abstract":"<p><p>Coal mining has caused notable disturbance and destruction to the ecosystem, leading to intensified regional carbon emissions. Ecological restoration of abandoned coal mines can improve the physical and chemical properties of damaged soil and increase soil carbon storage. Therefore, ecological restoration of coal mine areas is crucial for improving regional carbon sink levels and environments. Currently, most studies on ecological restoration in Chinese coal mining areas are scattered across the major coal-producing provinces in the Yellow River Basin. Its effect on soil carbon sequestration at a basin scale must be crucially elucidated. In this study, we focused on changes in soil physicochemical properties and enzyme activities after vegetation restoration using an integrated analysis method, combined with climate and soil characteristics in the Yellow River Basin's coal mining areas to reveal the major factors affecting soil carbon restoration. Our results showed that： ① Soil physicochemical properties and enzyme activities were improved significantly after ecological restoration； however, some differences were present among different soil layers. ② Soil organic carbon （SOC）, total nitrogen, and alkali-hydrolyzed nitrogen increased by 62.2%, 40.5%, and 36.0%, respectively, showing an overall increasing trend with increasing restoration years. From the perspective of vegetation type, mixed forest had the largest increment in SOC. ③ The increase in nitrogen and phosphorus content improved soil fertility and helped to increase soil carbon input from vegetation litter, thus promoting the restoration of the soil organic carbon pool. In addition, average annual temperature and precipitation along with soil type also played important roles affecting soil C restoration. In the future, based on climate and soil characteristics of specific mining areas, suitable vegetation types should be selected from a perspective of C sequestration to enhance C sink of the whole basin.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 3","pages":"1690-1702"},"PeriodicalIF":0.0,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143671337","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}