Environmental Monitoring and Assessment最新文献

{"title":"Integrating GIS and remote sensing for spatial distribution assessment of Drought Vulnerability Index.","authors":"Hasan Mohammed Hameed, Jehan M Sheikh Suleimany, Azad Rasul","doi":"10.1007/s10661-025-14323-9","DOIUrl":"https://doi.org/10.1007/s10661-025-14323-9","url":null,"abstract":"<p><p>Hydrological drought is a critical factor affecting ecosystems and water availability in semi-arid regions. This study evaluates hydrological drought conditions in the Greater Zab watershed using the Drought Vulnerability Index (DVI). The methodology integrates geographic information system (GIS) and remote sensing techniques with a multi-criteria decision analysis (MCDA) approach. Specifically, the analytic hierarchy process (AHP) is employed within the DVI framework to evaluate the spatial distribution of hydrological drought vulnerability across the watershed. The analysis incorporates various hydrological, topographical, and environmental criteria, including temperature, precipitation, solar irradiation, slope, the Normalized Difference Water Index (NDWI), the Topographic Wetness Index (TWI), land cover, soil types, and stream networks. These criteria were selected due to their significant influence on hydrological drought conditions. The results indicate that 55.7% of the watershed exhibits low to moderate vulnerability to hydrological drought. Conversely, 15.5% of the area exhibits very low vulnerability, indicating regions minimally affected by hydrological drought hazards. However, the southern portion of the watershed displays a higher susceptibility to hydrological drought, with 28.8% of the area classified as experiencing high to very high levels of hydrological drought. These zones are particularly vulnerable due to the combined effects of climate change, distinctive topographical features, increasing temperatures, and decreasing precipitation.</p>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 8","pages":"970"},"PeriodicalIF":3.0,"publicationDate":"2025-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144740790","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The methods for the retrieval of land surface temperature in central Shijiazhuang using ASTER data.","authors":"Biao Zeng, Guo-Fei Shang, Xia Zhang, Ye-Lin Shen, Yu-Jia Tian, Zheng-Hong Yan","doi":"10.1007/s10661-025-14418-3","DOIUrl":"10.1007/s10661-025-14418-3","url":null,"abstract":"<p><p>Land surface temperature (LST) is crucial for studying climate change, agricultural drought, and ecological evaluation. Satellite thermal infrared remote sensing, such as the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), provides high-resolution (90 m) LST data. However, inversion accuracy varies by region and method. This study focuses on Shijiazhuang, using ASTER data and three algorithms-reference channel method, split-window algorithm, and temperature and emissivity separation algorithm-to invert LST. Data were preprocessed using ENVI, ARCGIS, MODTRAN, and MATLAB. Authenticity tests and accuracy evaluations were conducted based on meteorological data, Landsat data, and MODIS products. Results show that the temperature and emissivity separation algorithm has the highest accuracy and is most suitable for the study area. Inversion results range from 274 to 310 K, with mean temperatures of 293.18 K (reference channel) and 293.15 K (temperature and emissivity separation). The split-window algorithm has a lower low-temperature value (274.27 K) and a higher high-temperature value (308.10 K). The accuracy difference between algorithms and average surface temperature is 3.87-4.08 °C. Spatial distribution and linear fitting of pixel values are consistent across algorithms. Correlation analysis with MODIS products shows R² values of 0.72, 0.72, and 0.72, with the temperature and emissivity separation algorithm having the highest correlation. Conclusions indicate that the temperature and emissivity separation algorithm is the optimal method for LST inversion in Shijiazhuang's urban area, providing a reliable approach for high-precision monitoring and data-scarce regions.</p>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 8","pages":"962"},"PeriodicalIF":3.0,"publicationDate":"2025-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144726307","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Climate change-induced hotspot identification: a multi-variable approach for the Godavari River Basin.","authors":"Chakkaralla Mahammad Rafi, Vamsi Krishna Vema","doi":"10.1007/s10661-025-14410-x","DOIUrl":"10.1007/s10661-025-14410-x","url":null,"abstract":"<p><p>Climate-induced extreme events significantly impact river basin hydrology. Region-specific strategies are required to address the spatial and temporal variations in precipitation and temperature patterns. This study develops a framework to identify vulnerable hotspots within the Godavari River Basin (GRB) by analyzing climate-induced changes in hydrological (streamflow and groundwater) and agricultural (normalized difference vegetation index (NDVI) and crop yield) variables. Seventeen indices that characterize the temperature and precipitation extremes were used to assess climate change, and a combined index (CI) was developed using principal component analysis (PCA) to capture their collective impact. Vulnerable hotspots were identified by examining the relationship between CI and hydrological and agricultural variables using Pearson correlation and trend analysis, at various time scales for historical and future periods under four Shared Socioeconomic Pathways. The following findings were obtained from the study: (a) vulnerability assessment in the historical period reveals that streamflow is highly sensitive to climate extremes in sub-basins such as Manjra, Wardha, Pranahita, Middle Godavari, and Wainganga, covering 58%, 43%, 42%, 39%, and 26% of the basin areas, respectively, at the annual scale; (b) vulnerability of groundwater level is notable in Lower-, Upper-, Middle- Godavari, and Wardha, covering 50%, 32%, 25%, and 18% of the basin areas, respectively, indicating significant climate-induced fluctuations across these regions; (c) parts of Wardha and Middle Godavari were identified as hotspots for crop yield; (d) future projections suggest an escalation in vulnerable hotspots by over 50%, particularly under the SSP585 scenario.</p>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 8","pages":"961"},"PeriodicalIF":3.0,"publicationDate":"2025-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144726300","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Heavy metal pollution assessment of groundwater and associated health risks around the coal mining area, Singrauli, Madhya Pradesh, India.","authors":"Vaishali Srivastava, Pawan Kumar Jha, Anil Kumar","doi":"10.1007/s10661-025-14398-4","DOIUrl":"https://doi.org/10.1007/s10661-025-14398-4","url":null,"abstract":"<p><p>Groundwater pollution monitoring has become crucial for ascertaining the fulfilment of Sustainable Development Goals 3 (good health and well-being) and 6 (clean water and sanitation). This study analyses the seasonal variation in the concentration of 14 heavy metals along with potential human health risks associated with groundwater in the coal mine area of Singrauli. The mean concentration of heavy metals in the Monsoon phase followed the order: Fe > Ba > Zn > B > Mn > Al > Cr > Cu > Pb > Ni > As > Cd > Co > Ag, and during the post-monsoon, it was: Zn > Fe > Mn > Ba > Al > Pb > B > Ni > Cr > Cu > Cd > As > Ag > Co. The metal concentrations (except Zn, Cd and Pb) were found to be higher during the monsoon season than during the post-monsoon season. The results of the one-Way ANOVA indicated a significant seasonal variation in the concentrations of the B, Al, Cr, Fe, Co, Ni, Cu, As, Ag and Ba in the study area. Factor analysis revealed that both geogenic and anthropogenic sources contributed to the presence of heavy metals in groundwater. The mean value of the Heavy Metal Pollution Index for the monsoon (29) and post-monsoon season (10) was less than the critical value (> 100), indicating low-level pollution. The average value (2.58, 0.63) of the Nemerow Index (NI) has indicated moderate contamination in the monsoon and low-level contamination during the post-monsoon season. The study revealed the carcinogenic health risks (due to Cr, Cd and Pb) and non-carcinogenic risks across all the age groups, especially among children, followed by adults and infants in both the seasons.</p>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 8","pages":"965"},"PeriodicalIF":3.0,"publicationDate":"2025-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144740788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Lead exposure in homes as modifying factors of blood lead levels among young children in Bihar, India.","authors":"Emily Nash, Yi Lu, Stephan Bose-O'Reilly, Ambrish Kumar Chandan, Lavanya Nambiar, Meenakshi Kushwaha, Given Moonga, Gordon Binkhorst, Kumar Bhaskar, Promila Sharma Malik, Sumi Mehta, Ashok Kumar Ghosh, Arun Kumar, Mohammad Ali, Abhinav Srivastava, Gabriel Sanchez Ibarra, Daniel Kass","doi":"10.1007/s10661-025-14396-6","DOIUrl":"10.1007/s10661-025-14396-6","url":null,"abstract":"<p><p>More than 275 million children in India have elevated blood lead levels (BLLs). Previous studies in India have focused on children living in highly polluted areas. In addition to industrial sites, children are exposed to lead in their homes. The study aims to identify sources of lead exposure in a sample of children living in Bihar by assessing lead levels in the children's homes and products and their association with blood lead levels (BLLs). The study used a subset of a statewide BLL study in Bihar, India. From the larger sample, 150 children were selected, including those with a BLL ≥ 20 µg/dL and a random sample of those below this level. Blood samples from children aged 13 to 60 months were analyzed using the LeadCare II analyzer. A home-based assessment (HBA) was conducted to evaluate lead in soil, drinking water, paint, metal and ceramic cookware, spices, cosmetics, and toys. Lead levels were determined using a portable X-ray fluorescence analyzer and laboratory-based analyses. HBA results were compared with local and international limits. Sampling revealed elevated lead levels in metal foodware and spices. After adjustment, the odds of elevated BLL were associated with lead content in spices only (aOR = 1.35, 95% CI 1.17, 1.58). Elevated lead levels in spices and metal foodware are common in Bihar, India. To protect children's health, measures are needed to reduce lead exposure, including enforcing regulations on lead content in spices, implementing policies, and monitoring metal foodware items, as well as building public awareness.</p>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 8","pages":"967"},"PeriodicalIF":3.0,"publicationDate":"2025-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12307523/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144740791","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pharmaceuticals in drinking water in suburban communities in Chengdu, China: potential risks on the human health.","authors":"Chong Tang, Shuhong Fang, Hongling Yin, Hui Zhang, Xin Xin, Binqi Yu, Zhuo Zeng, Kangcheng Deng, Yuanhang Zhang, Zhangzhen Wu, Chenchen Zhao, Juan Chen, Jing Sun","doi":"10.1007/s10661-025-14269-y","DOIUrl":"10.1007/s10661-025-14269-y","url":null,"abstract":"<p><p>Water supplies have come under serious environmental stress in suburban communities in China due to developmental activities. A comprehensive study was carried out to investigate the occurrence of pharmaceutical compounds in county-level drinking water sources within Chengdu City. The solid-phase extraction combined with ultra-high performance liquid chromatography/tandem mass spectrometry was employed to analyze the residues of pharmaceuticals in the water sources for water supply in Chengdu. An internal standard calibration method was used to minimize the matrix effects. The results indicated that all 30 targeted pharmaceuticals were detected. Results showed that the total concentrations of pharmaceuticals at different points ranged from 16.56 to 257.5 ng/L. Ofloxacin, sulfamethoxazole, and lincomycin had relatively high detection rates with average concentrations of 15.28 ng/L, 8.92 ng/L, and 7.08 ng/L, respectively. Source analysis showed that domestic sewage, aquaculture wastewater, and medical wastewater were the main sources of the pharmaceuticals. Furthermore, concentrations were higher in summer than in spring and winter. Drinking water treatment plants (DWTPs) exhibit suboptimal removal performance of pharmaceuticals. In some waterworks, the pharmaceutical residues detected in the finished water are higher than those in the source water. The removal efficiency of trimethoprim and lincomycin was found to be relatively good. The risk quotient method was used to evaluate the health risk and ecological risk of pharmaceutical. Health risk assessments show that pharmaceuticals posed no threat to human health through the drinking water route, and even the OFL with the highest risk quotient is much less than 0.01. Ecological risk assessment showed that ofloxacin posed a medium-high risk to sensitive algae species. Sulfamethoxazole also posed a medium risk to algae in some water sources but no risk to fish. This work provided a scientific basis for pollution risk management and control of pharmaceuticals in the drinking water sources of Chengdu.</p>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 8","pages":"964"},"PeriodicalIF":3.0,"publicationDate":"2025-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144726305","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Environmental impact of brine and cooling water mixing ratios on marine water quality and biota: a comparative field study.","authors":"Hanwen Song, Changsheng Peng, Xiaoqing Zhang, Junrui Cao, Da Song, Bo Su","doi":"10.1007/s10661-025-14373-z","DOIUrl":"https://doi.org/10.1007/s10661-025-14373-z","url":null,"abstract":"<p><p>The co-discharge of brine and cooling water is widely regarded as a preferred method for desalination brine disposal. However, existing research on the effectiveness of this approach primarily relies on software simulations, with limited studies addressing its impact in real marine environments. This study conducted a field investigation to evaluate the effects of co-discharge of brine and cooling water on water quality, plankton, and macrobenthic organisms in the receiving marine ecosystem. Two discharge scenarios were examined: a low mixing ratio (brine comprising 10% of the total discharge volume) and a high mixing ratio (brine comprising 50% of the total discharge volume). The results demonstrated that the combined discharge of brine and cooling water influences not only temperature and salinity but also other water quality parameters. Mixing ratios significantly affected pH, water temperature, salinity, and aluminum (Al) concentrations in the receiving waters. In the high mixing ratio discharge area, pH and salinity increased by 2.4% and 3.1%, respectively, whereas temperature and Al concentration decreased by 5.1% and 43.8%, respectively. Phytoplankton abundance and species number decreased by 90% and 50%, respectively, near the low mixing ratio outlet, but increased by 96% and 28%, respectively, near the high mixing ratio outlet. In contrast, no obvious differences were observed in zooplankton species composition, abundance, or diversity index between the two discharge areas. The findings of this study provide new insights into the selection of discharge methods and brine discharge management.</p>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 8","pages":"966"},"PeriodicalIF":3.0,"publicationDate":"2025-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144740787","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Combination of flow cytometry and metagenomics to monitor the effect of raw vs digested manure on microbial diversity in anaerobic digestion of Napier grass.","authors":"Madhumita Priyadarsini, Abhishek S Dhoble","doi":"10.1007/s10661-025-14399-3","DOIUrl":"10.1007/s10661-025-14399-3","url":null,"abstract":"<p><p>Microbiomes play a crucial role in anaerobic digestion (AD), by degrading the complex lignocellulosic biomass leading to biomethane production. This study emphasizes the role of microbial diversity and its impact on the digester's performance with raw (CD) and digested manure (ADS) as a source of microbiome and Napier grass (NG) as feedstock. The integration of flow cytometry and metagenomics provides a novel perspective on microbial dynamics during anaerobic digestion. Initially, the inocula (ADS and CD) had 354 bacterial and 8 archaeal genera in common that decreased to 39 bacteria and 1 archaeon at the end of experiment, indicating significant shift in microbial diversity during the process. Metagenome sequencing showed that Clostridium was the most abundant genera in NG digested with ADS, while Prevotella was in NG digested with CD. An approximately 2.45% increase in Clostridium in NG digested with ADS led to VFA accumulation and pH drop, inhibiting methanogens and lower biogas production. Most of the flow cytometric populations showed positive correlation with Prevotella suggesting its key role in breaking down of complex substrate. The population 2, 3, and 5 positively correlated to biogas production. NG digested with CD produced nearly twice biogas yield (1064.33 ± 119.97 mL) compared to ADS (508 ± 20.95 mL) which corresponds to the enhanced microbial activity in CD. These findings suggest that microbiome of CD might be better acclimatized for NG degradation than ADS as NG is often used as cattle fodder.</p>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 8","pages":"963"},"PeriodicalIF":3.0,"publicationDate":"2025-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144726301","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quantitative evaluation of hydrocarbon contamination in soil using hyperspectral data-a comparative study of machine learning models.","authors":"Rafic Al Ayass, Samir Mustapha, Farah Ali Ahmad, Darine A Salam","doi":"10.1007/s10661-025-14386-8","DOIUrl":"10.1007/s10661-025-14386-8","url":null,"abstract":"<p><p>This study aims to evaluate the applicability of existing machine learning and deep learning techniques for the rapid prediction of hydrocarbon contamination in soils using hyperspectral data. Soil samples of three types, i.e., clayey, silty, and sandy, were synthetically contaminated with crude oil, diesel, and gasoline, creating a contamination range of 0 to 10,000 mg/kg. Hyperspectral imaging was employed to capture the spectral signatures of these samples, which were then analyzed using established models, including an XGB regressor and neural networks. Gas chromatography-mass spectrometry (GC-MS) was used to obtain reference contamination values. The models were trained and tested to predict hydrocarbon levels, with performance evaluated using R-squared and RMSE metrics. The models demonstrated strong predictive ability, achieving an R-squared value of 0.96 and an RMSE of 600 mg/kg on the testing set. Performance varied depending on the petroleum type and soil matrix. Gasoline models showed lower accuracy due to less distinguishable spectral features, while diesel and crude oil models performed better. Incorporating selected spectral bands as model inputs further improved performance by reducing overfitting. Among the evaluated models, the XGB regressor consistently provided a good balance between accuracy and robustness. This study highlights the effectiveness of applying hyperspectral spectral analysis with machine learning and deep learning models for soil contamination assessment. The findings support the use of ensemble-based models like XGB for practical spectral applications in environmental monitoring.</p>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 8","pages":"960"},"PeriodicalIF":3.0,"publicationDate":"2025-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144726306","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Geochemical characterization of heavy metal bearing phases in the sediments of Ganges, India: analyzing the toxicity status of sedimentary environment.","authors":"Abhijit Debnath, Prabhat Kumar Singh, Yogesh Chandra Sharma","doi":"10.1007/s10661-025-14405-8","DOIUrl":"10.1007/s10661-025-14405-8","url":null,"abstract":"<p><p>The present study characterizes the heavy metal contamination in the bottom sediments of the Ganga River and the toxicity status of the associated aquatic environment. Cd was identified as a heavy metal of substantial concern, with levels surpassing baseline values, showing the effect of anthropogenic factors such as untreated urban-industrial wastewater and runoff from agricultural regions, among other local causes. The grain size distribution reveals that sediments contain dominant sand fractions (up to 60%), followed by silt and a small percentage of clay fractions. FTIR and XRD characterization of grains indicates the presence of silicate (mainly quartz), feldspar, clay, and carbonate group of minerals, while SEM-EDS characterization reveals the morphological variation of grain sizes, viz., platy, irregular, spongy, triangular or rectangular, crystal, and hexagonal appearances and EDS peaks confirmed the presence of metallic constituents, viz., Cr, Fe, Ni, Cu, Zn, Cd, Pb, and others. Risk indices, including EF, show mild to severe enrichment as a result of higher Cd levels, while mPEL_Q shows a 21% likelihood of toxicity with a medium-low degree of risk at specific sites as a result of synergistic action of heavy metals.</p>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 8","pages":"958"},"PeriodicalIF":3.0,"publicationDate":"2025-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144726302","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}