环境科学最新文献

{"title":"[Comparative Analysis of Ambient Ozone and Its Background Concentration in Beijing in Recent Years].","authors":"Yun-Feng Li, Ji-Lin Tang, Yuan-Yuan Ji, Ya-Fei Wang, Hong Li, Rui Gao","doi":"10.13227/j.hjkx.202403219","DOIUrl":"https://doi.org/10.13227/j.hjkx.202403219","url":null,"abstract":"<p><p>To understand the trends of O₃ pollution changes and the contribution of regional background in Beijing in recent years, this study investigated the temporal variations of O₃ mixing ratios and the exceedance of O₃ pollution at different types of sites, such as urban, suburban, clean, regional, and transportation sites, based on the online monitoring data from 34 stations in Beijing from 2018 to 2022. The regional background estimation method proposed by the Texas Commission on Environmental Quality （TCEQ） was applied to calculate the contributions of regional background and local generation to O₃. The results showed that the annual average value of O₃ mixing ratios in Beijing was the highest in 2019, the lowest in 2021, and rebounded in 2022, from 2018 to 2022. Except for transportation sites, O₃ mixing ratios in Beijing and all other types of sites exhibited decreasing trends. The highest monthly average value of O₃ occurred in June and the monthly average values of clean sites were often higher than those of other sites. The proportions of O₃ exceedance days and heavily polluted days varied over the last five years and days with high O₃ pollution more often occurred at the clean site. The O₃ exceedance days were mostly dominated by light pollution and the average O₃ mixing ratios on heavily polluted days in 2020-2022 were greater than those in 2019. To exclude the influence of NO on the \"titration\" effect of O₃, the TCEQ method was estimated by using the total oxidant O<i>_x</i> （O<i>_x</i>=O₃+NO₂） instead of O₃. The results showed that both the regional background and the local generation in Beijing showed decreasing trends and the contribution of the regional background was significantly higher than that of the local generation. However, the contribution of the regional background decreased in the summer due to the enhancement of the photochemical activities. In general, although the O₃ mixing ratios in Beijing had been decreasing from 2018 to 2022, no such trend was observed in the O₃ mixing ratios on heavily polluted days. To achieve the goal of basically eliminating heavily polluted days in the 14th Five-Year Plan and to effectively control O₃ pollution, it is recommended that Beijing should further optimize the joint prevention and control of atmosphere pollution in Beijing-Tianjin-Hebei and neighboring regions to reduce the contribution of regional background to O₃ pollution while strengthening the control of local O₃ precursor emissions.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 3","pages":"1275-1284"},"PeriodicalIF":0.0,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143671094","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 of PM_2.5 and O₃ Pollution Causes in Hangzhou Based on High-resolution Enhanced Observation During the Asian Games].","authors":"Ren-Chang Yan, Yong Lai, Tian Zhang, Jia-Jia Jin, Xu Lin, Yun-Yun Wang, Qi-Fan Shuai, Luo-Lan Fei, Jian-Dong Shen, Xu-Hong Ye, Shu-Hui Zhu","doi":"10.13227/j.hjkx.202402091","DOIUrl":"https://doi.org/10.13227/j.hjkx.202402091","url":null,"abstract":"<p><p>Based on the high-resolution enhanced observation data of PM_2.5 organic molecular tracers, aldehydes and ketone OVOC components, long-chain alkane IVOC components, and key species of atmospheric oxidation during September 1 to October 27, 2023, the causes of PM_2.5 and O₃ pollution in Hangzhou were analyzed. Seven pollution processes were selected with the average daily concentration of PM_2.5 exceeding 35 μg·m^-3 or the maximum 8-hour concentration of O₃ exceeding 160 μg·m^-3. Then, these pollution processes were divided into four types： north-northeast transmission type （T1）, east-southeast transmission type （T2）, north-northwest transmission type （T3）, and statically stable type （T4） by airflow trajectory. The research results indicated that the T2 pollution process exhibited strong PM_2.5 and O₃ composite pollution characteristics and the photochemical oxidation reaction of active VOC components, such as long-chain alkanes and terpenes in the atmospheric environment was the major pollution cause of this type. In the process of T1 and T3 pollution, the overall reactivity of VOCs was low, resulting in relatively weak O₃ generation. However, the causes of PM_2.5 in these two types of pollution processes were different. T1 pollution was affected by low temperature and high humidity meteorological conditions and the enhanced liquid-phase oxidation process led to a significant increase in nitrate concentration. T3 pollution was significantly affected by emissions from coal combustion, biomass combustion, and other sources, with a relatively high proportion of primary components in PM_2.5. The T4 pollution process was significantly affected by local primary anthropogenic emissions, thus the control of local catering source and mobile source emissions must be strengthened.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 3","pages":"1302-1313"},"PeriodicalIF":0.0,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143671131","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":"[Emission Characteristics of Polycyclic Aromatic Hydrocarbons and Their Derivatives from Exhaust PM_2.5 of China Ⅴ and China Ⅵ Diesel Trucks Based on On-road Measurements].","authors":"Gang-Li Sun, Da-Wei Niu, Nan Zhang, Ya-Qin Ji, Li-Ping Wu, Xue-Yan Zhao, Wen Yang","doi":"10.13227/j.hjkx.202403158","DOIUrl":"https://doi.org/10.13227/j.hjkx.202403158","url":null,"abstract":"<p><p>Exhaust emissions from diesel vehicles are one among the major sources of PM_2.5 and polycyclic aromatic hydrocarbons （PAHs） emitted by diesel vehicles are of concern due to their notable impact on health. To better understand the toxicity of diesel vehicle emissions, we used an on-road sampling system to collect PM_2.5 samples from four light-duty diesel trucks （LDDTs） and two heavy-duty diesel trucks （HDDTs） under the China Ⅴ and China Ⅵ emission standard. Further, 16 polycyclic aromatic hydrocarbons （pPAHs）, 18 nitro-polycyclic aromatic hydrocarbons （NPAHs）, and five oxygenated polycyclic aromatic hydrocarbons （OPAHs） were analyzed by GC-MS, and mileage-based emission factors were calculated. The results showed that a decrease in emission factors （EFs） of PM_2.5-bound pPAHs, NPAHs, and OPAHs was observed with improved emission standards. The EFs of pPAHs, NPAHs, and OPAHs from LDDTs of the China Ⅵ emission standard were （217.92±109.92）, （5.21±2.51）, and （10.74±5.99） μg·km^-1, respectively, which were reduced by 63%, 55%, and 66% compared to those with China Ⅴ. Due to incomplete combustion, higher emission factors （EFs） were observed for HDDTs than for LDDTs with the same emission standard （China Ⅴ）. The EFs of PM_2.5-bound pPAHs, NPAHs, and OPAHs emitted from the diesel vehicles were higher with increasing mileages, which was related to increased engine wear. Phenanthrene and fluorenone were the most abundant pPAHs and OPAHs components, while 5-nitro acenaphthene and 2-nitro fluoranthrene + 3-nitro fluoranthrene were the major NPAHs components. The benzo （a） pyrene equivalent toxicity （BaPeq） of pPAHs, NPAHs, and OPAHs of China Ⅵ vehicles was significantly reduced compared to that of China Ⅴ vehicles, which might be related to improvements in exhaust technology. The emission results showed that the diesel vehicles of the three largest-amount models in Luohe City emitted 1 965 kg pPAHs, 33 kg NPAHs, and 105 kg OPAHs, respectively. The emissions of PAHs and their derivatives were mainly from the China V heavy-duty diesel vehicles, suggesting the need to strengthen the control of this model. The results of this study will be valuable for formulating more stringent regulations and emission control technologies for PAHs and their derivatives and for the protection of human health.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 3","pages":"1350-1361"},"PeriodicalIF":0.0,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143671151","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 Environmental Pressure from Urban Development on the Level of Carbon Emissions in Urban Areas].","authors":"Zhao-Hui Qin, Rong-Fei Wang, Zhi-Guo Ding","doi":"10.13227/j.hjkx.202403190","DOIUrl":"https://doi.org/10.13227/j.hjkx.202403190","url":null,"abstract":"<p><p>Due to the increasing and rapid economic and population growth over the past years, urban areas have become the focus of carbon-emission-reduction policies. Meanwhile, they are also continuously subjected to environmental pressure from urban development. Therefore, this study used the STIRPAT model to develop an index to capture the environmental pressure from urban development based on a panel dataset of 284 prefecture cities from 2006 to 2022 in mainland China. Subsequently, a fixed effect model and a quantile regression model were used to test the impact of the environmental pressure from urban development on the level of urban carbon emissions. The results showed a notable relationship between the environmental pressure from urban development and the level of urban carbon emissions. More specifically, for every one-unit increase in the index, the urban carbon emission level increased by 1.4%. This result was found stable after a series of robustness tests. Furthermore, quantile regression showed that before the 50th percentile, the environmental pressure from urban development had a positive impact on the level of urban carbon emissions, whereas after the 50th percentile, it had a negative impact. Finally, heterogeneity analysis indicated that, compared to in large cities, the positive impact of the environmental pressure from urban development on urban carbon emission levels was more significant in small-sized, medium-sized, and megacities. Therefore, it is recommended to continuously optimize the context for business and trading and promote the industrial structure. Carbon emission reduction targets should be differentiated based on development levels of cities. While implementing carbon emission reduction measures in urban areas, population and other conditions should be taken into account.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 3","pages":"1473-1481"},"PeriodicalIF":0.0,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143671302","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":"[Prediction of Spatial Distribution of Cation Exchange in Agricultural Soils Based on Machine Learning].","authors":"Ji-Long Ma, Kun Ma, Tie-Na Xie, Hong Li, Xiang Yue, Li Ji, Lin-Pu Han, Yong-Jie Qi, Biao Jia","doi":"10.13227/j.hjkx.202403189","DOIUrl":"https://doi.org/10.13227/j.hjkx.202403189","url":null,"abstract":"&lt;p&gt;&lt;p&gt;Cation exchange capacity （CEC） reflects the ability of soil to sequester exchangeable cations and is an important indicator of the fertility and environmental quality of agricultural soils. The indoor titration method for determining soil cation exchange is expensive and cumbersome. To this end, 565 soil samples from the 0-20 cm plough layer were collected from farmland in Ningxia, and the parameters of soil pH, organic carbon, and mechanical composition were determined. A field-scale soil cation exchange （CEC） estimation model was constructed using multiple linear regression and machine learning methods to obtain soil CEC values rapidly and accurately. The results showed that： ① The mean CEC value of farmland soils in Ningxia was 9.39 cmol·kg&lt;sup&gt;-1&lt;/sup&gt;, with a coefficient of variation of 40.74%. This indicated a high degree of variability, with the spatial distribution of the CEC values generally showing higher values in the periphery of the Yellow River Basin （Ningxia section） and the southern mountainous areas of Ningxia and lower values in the central arid zone and the east-central region. ② The soil parameters selected for modeling the total dataset were as follows： Soil organic carbon, clay content, pH, and sand content were the important factors influencing the CEC of farmland soil in Ningxia, with correlation coefficients of 0.55, 0.72, -0.41, and -0.44, respectively. ③ The results of multiple linear regression modeling showed that dividing the total dataset according to the urban area and constructing a multiple linear-type regression model within the urban area was more conducive to the prediction of the CEC of farmland soils. ④ Compared with the multiple linear regression method, the machine learning method was more effective in the prediction of the total dataset. Further, using the multiple linear regression model as a reference, the prediction accuracy （&lt;i&gt;R&lt;/i&gt;&lt;sup&gt;2&lt;/sup&gt;） of the back propagation neural network, convolutional neural network, back propagation neural network optimized by the particle swarm algorithm, convolutional neural network optimized by the particle swarm algorithm, back propagation neural network optimized by the grey wolf algorithm, and convolutional neural network model optimized by the grey wolf algorithm were improved by 13.59%, 30.78%, 18.91%, 35.47%, 20.94%, and 38.91%, respectively. ⑤ The validation results showed that the validation set of the convolutional neural network model optimized by the grey wolf algorithm had an &lt;i&gt;R&lt;/i&gt;&lt;sup&gt;2&lt;/sup&gt; of 0.91, an RMSE of 1.07 cmol·kg&lt;sup&gt;-1&lt;/sup&gt;, and an NRMSE of 11.77%, and the model was close to the very stable level with the best overall performance. In conclusion, the convolutional neural network model optimized by the grey wolf algorithm has high prediction accuracy and strong extrapolation ability, which is a better model for predicting soil CEC at the farmland scale. This result provides a novel idea and solution for the prediction of soil CEC in","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 3","pages":"1737-1750"},"PeriodicalIF":0.0,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143671327","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":"[Research Progress on Plastic Aging Processes and Their Environmental Hazards].","authors":"Ni-Na Yang, Jian-E Zuo, Yan-Yan Zhang, Cong Men","doi":"10.13227/j.hjkx.202404048","DOIUrl":"https://doi.org/10.13227/j.hjkx.202404048","url":null,"abstract":"<p><p>Plastic pollution has become a global environmental issue, posing notable threats to ecosystems and human health. Plastic aging is a continuous dynamic process, during which plastics of various sizes are produced and exist, such as large plastics, microplastics, and nanoplastics. Regardless of the size, plastics continuously fragment and release plastic additives and other soluble products. Moreover, due to the same molecular composition, the aging mechanisms and characteristics of micro and nanoplastics are similar to those of macroplastics. However, the smaller the particle size, the greater the potential harm. To enhance understanding of the environmental effects of plastics, this review focused on the entire dynamic process from the initial form of plastics to their degradation and summarized the aging mechanisms involved, changes in properties, and the products released during this process. These products include macroplastics, micro and nanoplastics, plastic additives, and other soluble substances. The paper also summarized relevant studies and main conclusions on plastic aging experiments, further exploring factors that influence the leaching of plastic additives and the release of micro and nanoplastic particles. Finally, it provided a summary of the environmental hazards that were caused by plastic aging products.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 3","pages":"1850-1860"},"PeriodicalIF":0.0,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143671331","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":"[Screening and Identification of Polyvinyl Chloride-degrading Bacteria and Its Degradation Characteristics].","authors":"Shuai-Bing Wang, Wei Li, Dan-Dan Wang, Chao Wang, Xiang-Hui Yan, Na Geng, Zhi-Guo Zhao, Zhi-Hong Xie","doi":"10.13227/j.hjkx.202402031","DOIUrl":"https://doi.org/10.13227/j.hjkx.202402031","url":null,"abstract":"<p><p>Polyvinyl chloride （PVC） has been shown to be degraded by some insect larvae； however, research is scarce on degrading bacteria. This study revealed that <i>Zophobas atratus</i> larvae were able to keep a higher survival rate only when taking in PVC and reached up to 72.33% within 30 d. Fourier transform infrared spectroscopy （FTIR） and thermogravimetric analysis （TGA） showed that the peak values of the major functional groups of PVC in the frass changed significantly, and the thermal stability decreased, indicating that PVC biodegraded in the gut of <i>Z. atratus</i>. Based on these, three PVC-degrading bacteria were isolated from the gut contents of the larvae with PVC as the only carbon source in the culture medium for selection, which were identified to be <i>Enterococcus faecalis</i>, <i>Enterobacter hormaechei</i>, and <i>Bacillus subtilis</i>. The degradation test of PVC showed that C5-1 had the greatest degradation efficiency among the three strains, which resulted in the weight loss of （6.19 ± 0.14） mg, and the water contact angle （WCA） decreased by 9.4° within 50 d, effectively improving the hydrophilicity of PVC. In conclusion, the strain C5-1 isolated from the gut of <i>Z. atratus</i> larvae showed the high potential to be applied to the biodegradation of PVC plastics.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 3","pages":"1861-1867"},"PeriodicalIF":0.0,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143671333","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":"[Estimation of Vegetation Carbon Source/sink and Its Response to Land Use Change in the Loess Plateau,A Case Study of Yanhe River Basin].","authors":"Ya-Bing Guan, Jun Wang, Li Tan, Sheng-Tian Yang, Wen-Wu Zhao, Ke Chen, Xi-Tong Zhang","doi":"10.13227/j.hjkx.202312169","DOIUrl":"https://doi.org/10.13227/j.hjkx.202312169","url":null,"abstract":"&lt;p&gt;&lt;p&gt;The transformation of ecosystem types caused by land use change plays an extremely important role in the regional carbon cycle. Studying the response of vegetation carbon source/sink systems to land use change is helpful to improve the understanding of the vegetation carbon sink effect in the process of land use change. However, few studies have focused on the response of vegetation carbon sources/sinks to land use change. The CASA model and soil microbial respiration model were combined to estimate the net ecosystem productivity （NEP） of vegetation in the Yanhe River Basin in the Chinese Loess Plateau from 2000 to 2020 based on remote sensing, meteorological, and land use data. The spatiotemporal pattern evolution characteristics of the carbon source/sink and land use were identified using a significance test, univariate linear regression analysis, and land use status transition matrix methods, and the response of the carbon source/sink to land use change was further analyzed. The results showed that from 2000 to 2020, the multi-year average NEP in the Yanhe River Basin showed a spatial distribution pattern of lower in the upstream and higher in the midstream and downstream. The Yanhe River Basin belonged to a weak carbon sink area as a whole, with this type of area accounting for 88.81% of the basin area. The annual NEP of the basin showed a significant increase trend in fluctuations, and the carbon sequestration capacity was gradually improving. The areas with significant and extremely significant increases in annual NEP accounted for 65.78% of the basin area, and the types of annual NEP restoration, basic stability, and degradation accounted for 79.70%, 10.15%, and 10.15% of the basin area, respectively. Over the past 20 years, the land use transformation of Yanhe River Basin mainly included five types, that is, cropland was converted into grassland, woodland, and construction land, and grassland was converted into cropland and woodland. The land use in the Yanhe River Basin was mainly shifting towards promoting the improvement of the carbon sink capacity, and the transformation of land type to woodland had a more significant effect on improving carbon sink capacity. During the five main land use transformation processes in the Yanhe River Basin, the area ratio of NEP recovery-recovery type for cropland shifting to woodland was the highest at 80.78%. The area ratios of NEP recovery-recovery type for grassland shifting to cropland and cropland shifting to grassland were relatively low, at 48.05% and 51.97%, respectively. The stability of NEP restoration when shifting cropland to woodland was the strongest, and the fluctuation of NEP restoration when shifting between cropland and grassland mutually was strong. When adjusting cropland and grassland mutually, attention should be paid to select suitable vegetation types and increase vegetation coverage reasonably to improve carbon sequestration and sink enhancement capabilities, so as to avo","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 3","pages":"1657-1665"},"PeriodicalIF":0.0,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143671155","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":"[Occurrence Characteristics and Influencing Factors of Antibiotic Resistance Genes in Rural Drinking Water in Henan Province].","authors":"Kai Zhang, Ge Ma, Kuang-Jia Li, Wei Zou, Feng-Xia Yang, Rui Xin, Yao Huang, Yan-Zi Qiu, Chao-Ge Shi, Qian Wang","doi":"10.13227/j.hjkx.202403025","DOIUrl":"https://doi.org/10.13227/j.hjkx.202403025","url":null,"abstract":"<p><p>Antibiotic resistance genes （ARGs） as a novel type of pollutant can lead to the ineffectiveness of antibiotics used in clinical treatment. The environment serves as an important reservoir for ARGs, and therefore, the migration and transformation of ARGs in the environment have attracted increasing attention in recent years. However, studies on the presence of ARGs in rural drinking water environments remain scarce. This study focused on Henan Province, a major agricultural province, where 35 samples of rural drinking water were collected and quantitatively analyzed for 16 types of ARGs belonging to seven classes, as well as the integrase gene <i>intI1</i>. The results showed that sulfonamide ARGs were the most widely distributed and heavily contaminated ARG types in rural drinking water environments in Henan Province. Although tetracycline ARGs ranked second to sulfonamide ARGs in terms of content, their detection rate was lower. Chloramphenicol ARGs had relatively low average relative abundance and detection rates, indicating that contamination from ARGs of antibiotics less commonly used in the rural drinking water environment in Henan was less severe. <i>intI1</i> showed a positive correlation with most ARGs, suggesting its crucial role in the dissemination of ARGs in the drinking water environment. GDP did not affect the distribution of ARGs, indicating less difference in investment in the prevention and control of ARGs pollution in rural environments across different regions. The abundance of ARGs in drinking water from different types of water sources showed negligible difference, and the removal efficiency of ARGs from source water by drinking water treatment processes may be an important factor contributing to this phenomenon.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 3","pages":"1427-1434"},"PeriodicalIF":0.0,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143671321","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":"[Quantitative Separation of Spatiotemporal Patterns and Driving Factors of Carbon Sequestration Benefits in the Beijing-Tianjin-Hebei Region].","authors":"Jiao Pang, Jing Shan, Yu-Yue Yan, Zi-Han Miao, Shi-Yu Tian, Xin-Yu Guo, Han-Qi Ren, Tian-le Lü, Feng Yan","doi":"10.13227/j.hjkx.202403268","DOIUrl":"https://doi.org/10.13227/j.hjkx.202403268","url":null,"abstract":"&lt;p&gt;&lt;p&gt;Net ecosystem productivity （NEP） is an important indicator for evaluating carbon sources and sinks in regional ecosystems. Clarifying its spatiotemporal differentiation pattern and driving mechanisms is crucial for precise protection and restoration of the Beijing-Tianjin-Hebei ecosystem. We estimated the net ecosystem productivity （NEP） based on MODIS remote sensing data and explored the spatial and temporal patterns of carbon sequestration benefits and succession patterns in the Beijing-Tianjin-Hebei Region from 2002 to 2020 by using Sen's trend + MK test, Hurst index, and center of gravity shift and quantitatively separated the relative contributions of carbon sequestration benefits driven by human activities and climate change by using bias correlation, complex correlation, and residual analysis. The relative contributions of anthropogenic activities and climate change in driving the spatial and temporal changes in carbon sequestration were quantitatively separated using partial correlation and residual analysis. The results showed that： ① NEP in the Beijing-Tianjin-Hebei Region showed an increasing trend year by year over the past 20 years, with a growth rate （in terms of C） of 3.066 4 g·（m&lt;sup&gt;2&lt;/sup&gt;·a）&lt;sup&gt;-1&lt;/sup&gt;, and the spatial manifestation was high in the northwest and low in the southeast； the areas with strong carbon sink capacity were mainly concentrated in the periphery of Zhangjiakou City and Chengde City, and those with a strong carbon source effect were distributed in the regions of Tianjin and Handan. More than 80% of the regional carbon sink capacity was on the rise, with 47.45% and 8.29% of the regions showing very significant and significant increases, respectively, especially in Zhangjiakou and Chengde； however, the future growth trend was gradually slowing down. The center of gravity of carbon sources was gradually shifting to the southeastern plains, while the center of gravity of carbon sinks was shifting from the northeast to the southwest. ② More than 50% of the regions showed positive correlations between NEP and mean annual temperature and accumulated annual precipitation； however, the significance was not strong, and the results of the composite correlation further demonstrated that there were conditions other than meteorological factors that dominated the changes in NEP. ③ The residual results showed that the proportion of degraded and improved areas in the study area was 12.41% and 87.59%, respectively, with areas of enhanced human-led carbon sequestration accounting for 94.88% of the total improved areas, while the climate-led carbon sequestration benefit reduction area accounted for 62.84% of the degraded area, indicating that anthropogenic activities in the Beijing-Tianjin-Hebei Region mainly contributed positively to ecosystems in terms of carbon sequestration benefit. The results of the study are instructive for accurately identifying the future focus of ecological protection and restoration in the B","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 3","pages":"1666-1678"},"PeriodicalIF":0.0,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143671329","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}