工业工程最新文献

{"title":"[Responsive Characteristics of <i>Symphytum officinale</i> L. to Pb， Zn， and Cd Heavy Metals Under Hydroponic Conditions].","authors":"Min-Han Sun, Shuan-Xi Fan, Nan Zhang","doi":"10.13227/j.hjkx.202401245","DOIUrl":"https://doi.org/10.13227/j.hjkx.202401245","url":null,"abstract":"<p><p>In the context of the increasingly serious soil heavy metal pollution， delving deeply into the response mechanisms of plants to heavy metals and their remediation potential is of great significance for the restoration of the ecological environment. This study investigated <i>Symphytum officinale</i> L. via hydroponic pot experiments under single and combined stresses of lead （Pb）， zinc （Zn）， and cadmium （Cd） with different concentration gradients. Through a systematic analysis of growth indicators， antioxidant enzyme activities （superoxide dismutase [SOD]， catalase [CAT]， peroxidase [POD]）， malondialdehyde （MDA） and proline （Pro） contents， as well as heavy metal accumulation patterns， we comprehensively clarified the stress response and accumulation characteristics of comfrey under heavy metal exposure. The results demonstrated that heavy metal stress exerts a significant influence on the growth of <i>Symphytum officinale</i> L.. Its biomass， leaf length， leaf width， and stem length are negatively correlated with the stress concentration， and the inhibitory effect of combined stress is more pronounced. Nevertheless， <i>Symphytum officinale</i> L. shows good tolerance to both single and combined stresses. Only the degree of root inhibition varies according to the type and concentration of heavy metals. At the physiological and biochemical levels， heavy metal stress inhibits the synthesis of chlorophyll and has complex effects on the activities of antioxidant enzymes such as SOD， POD， and CAT， as well as the contents of MDA and Pro. Compared with single stress， combined stress generally has a more intense inhibitory effect on enzyme activities. Under different heavy-metal stresses， each indicator presents different changing trends. Regarding accumulation capacity， the absorption and enrichment amounts of Pb， Zn， and Cd by <i>Symphytum officinale</i> L. increase significantly with the increase of stress concentration. The enrichment amount in roots is significantly higher than that in the aboveground counterparts， and the enrichment ability under single stress is stronger than that under combined stress. Although its transfer effect on heavy metals is not ideal， its enrichment ability far exceeds that of common plants. It has certain tolerance and detoxification abilities and is an excellent germplasm resource for remediating heavy - metal - polluted soil. This study provides crucial support for the application of <i>Symphytum officinale</i> L. in the remediation of polluted soil and the research on related mechanisms.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 7","pages":"4684-4698"},"PeriodicalIF":0.0,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144660530","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":"[Dynamic Evaluation Map and Driving Force Analysis of Ecological Environment Quality on the Southern Slope of Qilian Mountains Based on GEE].","authors":"Qian Zhang, Guang-Chao Cao, Le-le Zhang, Mei-Liang Zhao, Jia-Tia Li","doi":"10.13227/j.hjkx.202406195","DOIUrl":"https://doi.org/10.13227/j.hjkx.202406195","url":null,"abstract":"<p><p>Climate change and anthropogenic activities pose a formidable challenge to regional ecological systems， necessitating robust research frameworks to assess ecological environment quality. The dynamic， quantitative evaluation of such quality serves as a cornerstone for strategizing ecological protection measures and fostering ecological civilization. Leveraging MODIS data spanning from 2001 to 2020， this study harnesses the power of the Google Earth Engine （GEE） platform and the remote sensing ecological index （RSEI） as a pivotal evaluation tool to conduct a comprehensive appraisal of the ecological health of the southern slope of the Qilian Mountains. Employing Sen's trend analysis and the Mann-Kendall （M-K） test， we delineate the spatial evolution patterns of the RSEI， offering insights into its temporal dynamics. Furthermore， by integrating geological information mapping with Pearson correlation analysis， we delve into the intricate interplay between natural environmental factors and human activities that shape RSEI variations. Our findings revealed several salient points： Firstly， the ecological quality of the southern slope of the Qilian Mountains exhibited pronounced spatial heterogeneity， with the vicinities of the Datong， Heihe， Beida， and Babao River basins boasting exceptional ecological quality， in contrast to the relatively degraded conditions in higher-elevation areas. Temporally， from 2001 to 2020， the RSEI index fluctuated within a range of 0.62 to 0.70， signifying an overall enhancement in ecological environment quality， a testament to the vigorous implementation of ecological restoration projects in recent years. The average annual RSEI value stood at 0.66， indicative of stability amidst modest fluctuations， though peripheral regions experienced notable RSEI volatility due to climatic shifts. Encouragingly， over 80% of the southern slope experienced ecological improvement， with a mere 11% experiencing slight degradation， suggesting a promising trajectory for future ecological enhancement. However， caution must be exercised against the risk of unsustainable improvement. Temperature， precipitation， and human interventions all contributed to RSEI variations， with temperature exerting a more pronounced influence than precipitation. Notably， human activities correlated positively with RSEI， underscoring the significance of human stewardship in ecological improvement. This research fills a critical gap in the long-term， dynamic monitoring of the ecological environment on the southern slope of the Qilian Mountains， providing a robust foundation for targeted ecological governance and fostering green development initiatives in this vital region.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 7","pages":"4534-4544"},"PeriodicalIF":0.0,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144660579","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 and Ozone Formation Potential of VOCs from Mobile Sources in the Beijing-Tianjin-Hebei Region].","authors":"Tong-Ran Wu, Xue-Song Sun, Rui Zhang, Jing Yan","doi":"10.13227/j.hjkx.202406242","DOIUrl":"https://doi.org/10.13227/j.hjkx.202406242","url":null,"abstract":"<p><p>Mobile sources are the primary contributor of volatile organic compounds （VOCs） emissions from anthropogenic sources in the Beijing-Tianjin-Hebei Region. Establishing a detailed VOCs emission inventory and clarifying the ozone generation potential （OFP） and their active species is conducive to scientific control of mobile source pollution. Based on the activity level data of mobile sources in the Beijing-Tianjin-Hebei Region， combined with the emission factor method and related research on source profiles， an emission inventory of VOCs from mobile sources was established to identify the emission contribution of key sources and components. Additionally， the ozone generation potential of VOCs was estimated using the maximum incremental reactivity （MIR）. The results indicated that total VOCs emissions from mobile sources in the Beijing-Tianjin-Hebei Region in 2021 was 214.6 kt， with 28.5 kt from Beijing， 28.1 kt from Tianjin， and 158.0 kt from Hebei Province. The VOCs emissions from mobile sources in the Beijing-Tianjin-Hebei Region were dominated by on-road mobile sources， with a proportion of 93.15%， of which gasoline motor vehicles contributed 72.70% to the emissions. Among non-road mobile sources， construction machinery and agricultural machinery had notable annual VOCs emissions， accounting for 2.01% and 1.99%， respectively. Aromatics， alkanes， and alkenes were the components with the highest VOCs emissions from mobile sources in the region， while alkenes， aromatics， and OVOCs had the highest contributions to OFP， accounting for 91.96%. Ethylene， propylene， toluene， formaldehyde， 1，2，3-trimethylbenzene， 1-butene， acetaldehyde， 1，3-butadiene， isopentane， and propionaldehyde were the major reactive species of OFP in the Beijing-Tianjin-Hebei Region， contributing 69.49% to the total OFP. The top contributing sources of VOCs emissions and OFP in Beijing， Tianjin， and Hebei provinces were all gasoline motor vehicles， in addition to motorcycles， diesel motor vehicles， and civil aviation aircraft in Beijing； construction machinery and ships in Tianjin； and diesel motor vehicles and agricultural machinery in Hebei Province， which also contributed relatively high local VOCs emissions and OFP.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 7","pages":"4024-4031"},"PeriodicalIF":0.0,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144660582","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":"[Evaluating the Ecological Environment Quality in the Tarim River Basin Based on the Modified Remote Sensing Ecological Index Model].","authors":"Cong-Cang Tang, Qiao Li, Hong-Fei Tao, Aihemaiti Mahemujiang, Zhen-Xia Mu, You-Wei Jiang","doi":"10.13227/j.hjkx.202407130","DOIUrl":"https://doi.org/10.13227/j.hjkx.202407130","url":null,"abstract":"<p><p>The Tarim River Basin is one of the most fragile ecological basins in China， and it is of great significance to clarify the trend and driving mechanism of its ecological changes for environmental protection and sustainable development. Based on the ecological characteristics of the Tarim River Basin， which has severe desertification and salinization problems， we proposed a modified remote sensing ecological index （MRSEI） model to comprehensively evaluate the ecological quality of the Tarim River Basin. Furthermore， we explored the trend of the ecological quality and the main driving factors in the study area through the Sen+Mann-Kendall trend analysis and the optimal parameters-based geographical detector. The results showed that： ① The average MRSEI of the study area in 2000， 2005， 2010， 2015， and 2020 was 0.269， 0.248， 0.273， 0.287， and 0.280， respectively， showing a fluctuating upward trend. The spatial distribution of the desert area in the northeast was poorer in terms of ecological quality， whereas the level of ecological quality in other areas from the central region increased gradually with the outward elevation. ② Within the spatial change trend of ecological environment quality in the study area from 2000 to 2020， the proportions of the area with a highly significant decrease， significant decrease， slight decrease， highly significant increase， a significant increase， and slight increase were 0.69%， 2.5%， 43.58%， 0.93%， 3.66%， and 48.65% respectively. The proportion of the area with a slight increase and slight decrease were the largest， accounting for 92.23% of the total area of the study area， indicating that the ecological environment quality of the Tarim River Basin did not change significantly from 2000 to 2020， with slight dominating changes. ③ Evapotranspiration， land use type with elevation was the main single-factor drivers of ecological and environmental quality changes in the Tarim River Basin. Moreover， the land use type with evapotranspiration was the strongest interactive driver， which played a crucial role in ecological and environmental quality changes in the basin. This study demonstrated the effectiveness of the comprehensive ecological management of the Tarim River Basin during the period of 2000-2020 and provides a scientific basis for further sustainable development of the basin and ecological environment monitoring.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 7","pages":"4485-4498"},"PeriodicalIF":0.0,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144660586","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":"[Factors influencing Nitrogen Removal in Different Plant Zones Along the Littoral Zone of a Typical Urban Lake in Nanjing].","authors":"Li-Jie Sun, Rui Su, Xiao-Wei He, Qi-Sheng Li, Rui Huang, Jin Zeng, Da-Yong Zhao","doi":"10.13227/j.hjkx.202406191","DOIUrl":"https://doi.org/10.13227/j.hjkx.202406191","url":null,"abstract":"&lt;p&gt;&lt;p&gt;Nitrous oxide （N&lt;sub&gt;2&lt;/sub&gt;O） is one of the important greenhouse gases contributing to the global warming trend. As important nitrogen removal pathways， microbially mediated denitrification and anaerobic ammonia oxidation （ANAMMOX） in the rhizospheres of wetland plants can reduce nitrogen load in freshwater wetlands， and the denitrification process is the major N&lt;sub&gt;2&lt;/sub&gt;O source. Littoral zone of urban lakes is an ecotone between terrestrial and aquatic ecosystems and an important area for nitrogen input and transformation. The investigation of plant-microbially mediated nitrogen removal processes and N&lt;sub&gt;2&lt;/sub&gt;O emissions in the littoral zone of urban lakes is of great significance for maintaining the stability of lake ecosystems， strengthening nitrogen management， and controlling N&lt;sub&gt;2&lt;/sub&gt;O emission， as well as realizing sustainable urban development. In this study， the littoral zone of Xuanwu Lake （a typical urban lake in Nanjing） was selected to compare the &lt;i&gt;in situ&lt;/i&gt; N&lt;sub&gt;2&lt;/sub&gt;O emission fluxes， potential denitrification and ANAMMOX rates， as well as the abundance， diversity， and composition of functional microbial communities associated with three dominant plants （i.e.， &lt;i&gt;Nelumbo nucifera&lt;/i&gt;， &lt;i&gt;Phragmites australis&lt;/i&gt;， and &lt;i&gt;Dichondra micrantha&lt;/i&gt;） using &lt;sup&gt;15&lt;/sup&gt;N isotope pairing， real-time quantitative PCR， and high-throughput sequencing techniques. In addition， the influences of different driving factors on the potential denitrification and ANAMMOX rates and N&lt;sub&gt;2&lt;/sub&gt;O fluxes were further explored in the littoral zone. The results showed that the N&lt;sub&gt;2&lt;/sub&gt;O emission fluxes in the littoral zone of Xuanwu Lake ranged from 6.20 to 15.03 μg·（m&lt;sup&gt;2&lt;/sup&gt;·h）&lt;sup&gt;-1&lt;/sup&gt; （&lt;i&gt;D. micrantha&gt;N. nucifera&gt;P. australis&lt;/i&gt;）. Potential denitrification and ANAMMOX rates in the rhizosphere sediments of the three wetland plants were （8.92±4.33） nmol·（g·h）&lt;sup&gt;-1&lt;/sup&gt; and （1.03±1.17） nmol·（g·h）&lt;sup&gt;-1&lt;/sup&gt;， respectively （&lt;i&gt;N. nucifera&gt;D. micrantha&gt;P. australis&lt;/i&gt;）， and denitrification （65.55%-97.82%） was the dominant nitrogen removal process. There were significant differences in the community composition of &lt;i&gt;nirK&lt;/i&gt; and &lt;i&gt;nirS&lt;/i&gt; in rhizosphere sediments of the three wetland plants （ANOSIM， &lt;i&gt;P&lt;/i&gt;&lt;0.005）， and Nitrobacteraceae （28.57%） and Zoogloeaceae （14.63%） were the dominant families in the &lt;i&gt;nirK&lt;/i&gt; and &lt;i&gt;nirS&lt;/i&gt; communities. The abundances of the &lt;i&gt;nirS&lt;/i&gt; gene （1.09×10&lt;sup&gt;9&lt;/sup&gt; copies·g&lt;sup&gt;-1&lt;/sup&gt;） were 2 orders of magnitude higher than those of the &lt;i&gt;nirK&lt;/i&gt; gene （3.00×10&lt;sup&gt;7&lt;/sup&gt; copies·g&lt;sup&gt;-1&lt;/sup&gt;）， indicating that &lt;i&gt;nirS&lt;/i&gt;-denitrifier played a more important role in N&lt;sub&gt;2&lt;/sub&gt;O emission （&lt;i&gt;P&lt;/i&gt;&lt;0.05）. Moreover， pH， C/N， NH&lt;sub&gt;4&lt;/sub&gt;&lt;sup&gt;+&lt;/sup&gt;-N， and NO&lt;sub&gt;3&lt;/sub&gt;&lt;sup&gt;-&lt;/sup&gt;-N contents drove the changes of N&lt;sub&gt;2&lt;/sub&gt;O fluxes， while NO&lt;sub&gt;2&lt;/sub&gt;&lt;sup&gt;-&lt;/sup&gt;-N， LOI， and TN contents were the main regulators of potential denitrification an","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 7","pages":"4322-4334"},"PeriodicalIF":0.0,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144660588","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 Consumption Risk of Antibiotic Resistance Genes in Organic Vegetables].","authors":"Liang Hu, Min Li, Yi-Fan Liu, Hao Zheng, Zi-Han Wei, Xin-Yi Wang, Jian Hua, Ming-Jie Mou, Xian-Xiang Luo, Feng-Min Li","doi":"10.13227/j.hjkx.202406155","DOIUrl":"https://doi.org/10.13227/j.hjkx.202406155","url":null,"abstract":"<p><p>Agricultural soil has become an important reservoir and transmission source of antibiotic resistance genes （ARGs） because of the extensive application of organic fertilizers such as livestock and poultry manure in organic agriculture production. This greatly increases the risk of foodborne transmission of ARGs in organic agricultural products. However， the extent of ARGs contamination in different types of organic vegetables and its driving factors remain unclear. Therefore， two organic and traditional farming species： green radish （<i>Raphanus sativus</i> L.） and coriander （<i>Coriandrum sativum</i> L.） species were selected as representatives to compare and analyze the abundance of ARGs and mobile gene elements （MGEs） and microbial community structure of the vegetable surface bacteria and endophytic bacteria using real-time PCR and 16S rRNA sequencing technology. Compared to conventional farming practices， organic farming significantly increased the abundance of ARGs among both epiphytic and endophytic bacteria on vegetables. The enrichment levels reached up to 78.9 times and 1.99 times， respectively. Furthermore， compared with that in coriander， green radishes exhibited a higher accumulation of ARGs. Similarly， the relative abundance of MGEs in endophytic bacteria of organically grown vegetables was significantly higher than those of the conventionally grown vegetables. Additionally， the abundance of MGEs positively correlated with the abundance of ARGs （<i>P</i>&lt;0.05）， indicating that the organic farming practices increased the abundance of ARGs in the microbiomes of the vegetables by promoting horizontal gene transfer. Furthermore， network analysis showed that the interactions between ARGs and bacteria were more complex under organic farming practices， enriching 30 bacterial genera as potential hosts. Among them， 14 bacterial genera （e.g.， <i>Microbacterium</i>， <i>Aeromicrobium</i>， and <i>Glutamicibacter</i>） were significantly associated with high-risk ARGs （<i>aadA</i>， <i>tetM</i>， and <i>floR</i>）. These findings demonstrated that organic farming practices can increase the risk of human intake of ARGs by introducing potential ARG host bacteria and enriching MGEs， and root vegetables are more significantly affected by organic farming practices compared to leafy vegetables. This study provides a theoretical basis for assessing the health risks of ARGs contamination in edible vegetables under organic agricultural ecosystems.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 7","pages":"4723-4732"},"PeriodicalIF":0.0,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144660592","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 and Quantitative Analysis of Health Risk Sources of Polycyclic Aromatic Hydrocarbons in the Kuye River of Energy and Chemical Industry Base].","authors":"Ying Dong, Xin-Lin He, Ya-Ning Zhang, Xi-Jun Wu, Jing Liu, Fu-Chu Zhang, Jian Zhao","doi":"10.13227/j.hjkx.202406188","DOIUrl":"https://doi.org/10.13227/j.hjkx.202406188","url":null,"abstract":"<p><p>Taking Kuye River， a typical river in the Yulin National Energy and Chemical Base as the research object， 16 polycyclic aromatic hydrocarbons （PAHs） concentrations were measured from 59 water samples collected in the dry and wet seasons. The seasonal distribution characteristics of PAHs were analyzed， and the positive definite matrix factorization model （PMF） was used to analyze the PAHs pollution sources. By combining PMF and the human health risk assessment model （HHR）， the PMF-HHR risk source quantitative analysis coupling model was established， and the contribution of various pollution sources to population health risk was calculated. The results showed that 10 and 16 PAHs were detected in the dry and wet seasons， respectively. The concentration of ∑PAHs in the dry season was higher than that in the wet season， and the ranges of <i>ρ</i>∑PAHs in the dry season were 54.36-369.94 ng·L^-1， with an average value of 185.11 ng·L^-1， and low ring （2-3 ring） PAHs was the dominant compound， accounting for 89.55% of ∑PAHs on average. During the wet season， the ranges of <i>ρ</i>∑PAHs were 50.06-278.16 ng·L^-1， with an average value of 128.22 ng·L^-1， mainly middle-low ring （2-4 ring） PAHs， of which the average proportion of low ring （2-3 ring） was 33.22%， and that of the middle ring （4 ring） was 51.41%. PAHs in the Kuye River analyzed by the PMF model mainly came from coking and petroleum emissions （37.39%）， coal combustion （34.78%）， traffic emission （14.40%）， and fuel-wood combustion （13.44%）. The coking and petroleum source and coal combustion source were the main factors affecting the PAHs concentration in the study area. The non-carcinogenic risk of PAHs in the study area could be ignored， but the carcinogenic risk exceeded the significant threshold by 2-5 times. The average contribution rate of pollution sources to carcinogenic risk by the PMF-HHR model was as follows： traffic emissions （36.75%） &gt; coking and petroleum emissions （30.15%） &gt; coal combustion （17.17%） &gt; fuel-wood combustion （15.93%）. Traffic emission sources and BaP were priority control sources and monomer for PAHs carcinogenic risk in the Kuye River. The contribution of the same pollution source to the PAHs concentration and health risk was different. Quantitative analysis PAHs pollution source risk was the key to pollution mitigation and risk control in energy and chemical industry area. It is suggested that the risk source quantitative analysis model should be applied to environmental risk management to reduce human health risk more effectively.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 7","pages":"4285-4295"},"PeriodicalIF":0.0,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144660595","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":"[Regional Differences and Spatial-temporal Heterogeneity Influencing Factors of Carbon Neutrality Capacity in China].","authors":"Su-Juan Li, Qi-Fei Ma, Fang Ye","doi":"10.13227/j.hjkx.202406288","DOIUrl":"https://doi.org/10.13227/j.hjkx.202406288","url":null,"abstract":"<p><p>Carbon neutrality is an important strategy for China to cope with the present climate change， and it is also the main task and goal in future economic and social development. This study uses the carbon source and carbon sink estimation model to calculate the carbon neutral capacity （CNC） of 30 provinces in China from 2003 to 2021. Furthermore， this study investigates the regional differences of CNC in China by using the Dagum Gini coefficient， and applies the STIRPAT-GTWR model to reveal the influencing factors of spatial-temporal heterogeneity. The results were as follows： ① During the study period， the average carbon sink in China was approximately 78.84 Mt， and that in Inner Mongolia， Heilongjiang， Sichuan， and Yunnan was as high as 166 Mt， mainly in the western region. However， the average carbon source was 227.73 Mt， which was about three times that of the carbon sink. The carbon sources in Shandong， Hebei， and Jiangsu were as high as 400 Mt， mainly concentrated in the eastern region. In addition， the growth rate of carbon sources was much faster than that of carbon sinks； the carbon emissions generated by energy consumption were especially growing rapidly. ② The CNC was generally decreasing in the study period， which suggest that CNC development in provinces and cities was not optimistic， and its spatial distribution was consistent with that of carbon sinks， showing a spatial pattern of high in the northwest and low in the southeast. ③ There were regional differences in China's CNC， with the largest difference in the eastern region， followed by the northeast and west， and the smallest in the central region， and the intra-group differences were the main reasons for the overall differences in CNC. ④ There was obvious spatio-temporal heterogeneity in the influencing factors of CNC in China. Energy intensity， energy structure， economic development level， and urbanization level were the main factors that affected the CNC of China. These results can clarify the status quo of CNC and its heterogeneous driving factors in China's provinces and cities and help provinces and cities to formulate differentiated and targeted strategies of \"increasing carbon sinks and reducing carbon emissions\" to enhance the regional CNC and help China achieve carbon neutrality at an early date.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 7","pages":"4075-4089"},"PeriodicalIF":0.0,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144660600","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 of Ecological Environment Quality and Ecological Management Zoning in Inner Mongolia Based on RSEI].","authors":"Na Zhao, Bing Wang, Zi-Hao Wang, Qiu-Liang Zhang","doi":"10.13227/j.hjkx.202405303","DOIUrl":"https://doi.org/10.13227/j.hjkx.202405303","url":null,"abstract":"<p><p>Inner Mongolia serves as a crucial ecological security barrier for northern China. Examining the spatial and temporal evolution of ecological environment quality， along with the zoning for ecological management， is crucial for enhancing the management and development of ecological environments. Based on the Google Earth Engine cloud platform， four indicators-heat， greenness， dryness， and wetness-were extracted from MODIS remote sensing image data spanning 2000 to 2023. The remote sensing ecological index （RESI） model was constructed using principal component analysis. By combining the coefficient of variation （CV）， Sen + Mann-Kendall， and Hurst indices， the spatial and temporal variations and future trends of ecological environmental quality of the Inner Mongolia were analyzed. The influencing mechanisms were explored using a geographical detector， and the quadrant method was employed for ecological management zoning based on the intensity of human activities and the quality of the ecological environment. The results indicated that： ① The ecological environment quality of Inner Mongolia from 2000 to 2023 was mainly characterized as poor to average， with a spatial trend of decreasing quality from east to west. From 2000 to 2005， Inner Mongolia experienced environmental degradation， followed by a gradual improvement in ecological environment quality. ② Inner Mongolia exhibited the largest area of non-significantly improved and non-significantly degraded regions， and the overall environmental quality was more stable. However， ecosystems in the western region were more fragile and prone to fluctuations. The area of sustained degradation versus sustained improvement in the future trend of change was larger， and the western region is expected to be the main area of improvement in the future. ③ The results of single-factor detection showed that the influences on RSEI values were， in descending order， precipitation， soil type， land use type， air temperature， vegetation type， elevation， population density， GDP， and nighttime lighting； the interactions among driving factors on RSEI changes showed a bivariate or nonlinear enhancement， which suggests that the interactions of each driving factor could improve the explanatory power of spatial variations in ecological environment quality. ④ Based on the coupling of human activity intensity and ecological environment quality， the 12 league cities of Inner Mongolia were divided into ecological development coordination zones， ecological development reserves， and ecological development risk zones. This study can provide a scientific basis for ecological environmental protection and sustainable development in Inner Mongolia.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 7","pages":"4499-4509"},"PeriodicalIF":0.0,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144660604","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":"[Spatio-temporal Monitoring and Driving Factor Analysis of Eco-environment Quality in the Loess Plateau of Northern Shaanxi].","authors":"Jing-Yu Wang, Li-Ping Yang, Mei Wang, Kai-Xuan Li, Jia-Jia Yang, Jia-Qi Yao","doi":"10.13227/j.hjkx.202406111","DOIUrl":"https://doi.org/10.13227/j.hjkx.202406111","url":null,"abstract":"<p><p>Located in the core area， the Loess Plateau of Northern Shaanxi is characterized by a sensitive and fragile eco-environment facing a series of ecological challenges such as soil erosion， desertification， and salinization. Therefore， comprehensive and quantitative monitoring and analysis of the spatio-temporal changes and driving factors of eco-environment quality are critically important for regional eco-environment protection. Based on Google Earth Engine （GEE）， and taking the ecological characteristics into account， an adjusted remote sensing ecological index（RSEI_A）was constructed by introducing the composite salinity index （CSI） and desertification difference index （DDI） into the classical remote sensing ecological index （RSEI）. Dynamic monitoring of eco-environment quality in the Loess Plateau of Northern Shaanxi from 2000 to 2020 was carried out. Spatial distribution characteristics and driving factors of eco-environment quality were discussed using spatial autocorrelation analysis and a geo-detector model. The results show that： ① The contribution rate of the first principal component （PC1） of RSEI_A generally exceeded 91%， which can be used to comprehensively reflect the characteristics of each ecological factor and has wide application in regional eco-environment quality evaluation. ② Over the past two decades， the regional eco-environment quality has improved distinctly， showing an increasing trend first， followed by a decline and then an increasing pattern. From 2000 to 2020， the area proportion of very poor and poor quality decreased from 72.83% to 33.41%， respectively， and the proportion of good and excellent quality increased from 15.93% to 37.05%. ③ Improved areas were greater than those of deterioration， and significant improvements accounting for 31.37% were observed particularly from 2000 to 2005. From 2010 to 2015， the most severe degradation occurred with a proportion of 10.14%. Improved areas were concentrated in the central and northeastern parts， whereas degraded areas were located mainly in the west. ④ The spatial distribution of the regional eco-environment quality had a strong and close positive spatial correlation. NDVI outperformed other ecological factors and contributed the most to RSEI_A， while in other factors， precipitation was the most influential one. The results are expected to provide basic information and scientific foundation for the monitoring and protection of regional eco-environment quality.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 7","pages":"4522-4533"},"PeriodicalIF":0.0,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144660605","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}