环境•农林最新文献

{"title":"Correction to: A Critical Review on Biological Impacts, Ecotoxicity, and Health Risks Associated with Microplastics","authors":"Iqbal Ansari, Charu Arora, Aazad Verma, Alaa El Din Mahmoud, Maha M. El‑Kady, Ravikumar Rajarathinam, Dakeshwar Kumar Verma, Pramod Kumar Mahish","doi":"10.1007/s11270-025-07999-9","DOIUrl":"10.1007/s11270-025-07999-9","url":null,"abstract":"","PeriodicalId":808,"journal":{"name":"Water, Air, & Soil Pollution","volume":"236 6","pages":""},"PeriodicalIF":3.8,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143871177","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":"Toxicity Impact of Polyethylene Microplastics on Biochemical Parameters and Oxidative Stress in Benni Fish (Barbus sharpeyi)","authors":"Amal Beitsayah,&nbsp;Aliakbar Hedayati,&nbsp;Mahdi Banaee,&nbsp;Saeed Khodadoost,&nbsp;Roghieh Safari,&nbsp;Amirparviz Salati","doi":"10.1007/s11270-025-08042-7","DOIUrl":"10.1007/s11270-025-08042-7","url":null,"abstract":"<div><p>This study evaluated the effects of polyethylene microplastics (PE-MPs) on the biochemical and oxidative stress parameters in Benni fish (<i>Barbus sharpeyi</i>). Fingerlings (average weight: 10 ± 2 g, length: 6 ± 1 cm) were exposed to PE-MP concentrations of 0, 200, 400, 800, and 1600 mg/L for 21 days under controlled laboratory conditions. Biochemical analyses revealed significant increases in plasma aspartate aminotransferase (AST), alanine aminotransferase (ALT), lactate dehydrogenase (LDH), and alkaline phosphatase (ALP) activities, particularly at higher PE-MP concentrations. A significant increase was observed in albumin levels in fish plasma after exposure to 400, 800, and 1600 mg/L of PE-MPs. Cholesterol levels in fish plasma exposed to 400, 800, and 1600 mg/L of PE-MPs were significantly higher than in the control group. Elevated levels of total protein, albumin, cholesterol, triglycerides, and creatinine were also observed, with minimal changes in globulin levels. Oxidative stress markers, including superoxide dismutase (SOD), glutathione peroxidase (GPx), and catalase (CAT), were significantly increased in the hepatocytes, while total antioxidant capacity (TAC) and thiol levels decreased. Malondialdehyde (MDA) levels were significantly elevated, indicating lipid peroxidation and oxidative damage. The change in the integrated biomarker response (IBR) index was dose-dependent, and the highest IBR stress was observed at 1600 mg/L PE-MPs. Significant changes in oxidative stress biomarkers and blood biochemical parameters of <i>Barbus sharpeyi</i> indicated the potentially toxic effects of MPs in aquatic environments. These results provided clear evidence of the hepatotoxic, nephrotoxic, and oxidative stress effects of PE-MPs.</p></div>","PeriodicalId":808,"journal":{"name":"Water, Air, & Soil Pollution","volume":"236 6","pages":""},"PeriodicalIF":3.8,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143871363","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 Role of Ferric oxide in Reducing Carbon Dioxide Emissions from Rice cultivation: A Pot Greenhouse Experiment","authors":"Farzad Rassaei","doi":"10.1007/s11270-025-08029-4","DOIUrl":"10.1007/s11270-025-08029-4","url":null,"abstract":"<div><p>Rice cultivation significantly contributes to greenhouse gas emissions, particularly carbon dioxide (CO₂), due to plant respiration and soil microbial activity. This study investigates the potential of ferric oxide (FO) supplementation as a mitigation strategy for CO₂ emissions in rice paddies. A controlled pot experiment was conducted to assess the effects of FO application and its interaction with time after planting on CO₂ emissions and rice yield. Results indicate a peak in CO₂ emissions around 40 days after planting, with FO supplementation reducing emissions in a dose-dependent manner. Additionally, the interaction between FO application and plant growth stages significantly influenced emission patterns. FO-treated soils exhibited lower CO₂ fluxes while maintaining rice productivity, suggesting its potential role in modifying soil biochemical processes. These findings provide new insights into CO₂ dynamics in rice cultivation and highlight FO supplementation as a promising approach for mitigating emissions. Further research is warranted to optimize FO application strategies and assess long-term environmental sustainability in diverse rice-growing conditions.</p></div>","PeriodicalId":808,"journal":{"name":"Water, Air, & Soil Pollution","volume":"236 6","pages":""},"PeriodicalIF":3.8,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143871365","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":"Trace Metal Pollution near a Coal-Fired Power Plant in Bangladesh: Implications for Environmental and Human Health","authors":"Anondo Kumar Ray,&nbsp;Md. Hasan Faruque,&nbsp;Rupesh Das,&nbsp;Sadman Sakib,&nbsp;Mohammad Moniruzzaman,&nbsp;Md. Aftab Ali Shaikh,&nbsp;Anwar Hossain,&nbsp;Md. Habibullah-Al-Mamun","doi":"10.1007/s11270-025-08001-2","DOIUrl":"10.1007/s11270-025-08001-2","url":null,"abstract":"<div><p>The rapid expansion of coal-fired power plants globally has raised significant environmental concerns, particularly regarding trace metal contamination in aquatic ecosystems. This study evaluates the extent of trace metal pollution in water, sediment, and fish from the Galachipa River, Bangladesh, near the Payra coal-fired power plant. The concentration of nine trace metals (As, Cd, Pb, Zn, Cu, Cr, Ni, Co, V) was analyzed using inductively coupled plasma mass spectrometry (ICP-MS) from samples collected at ten different stations. The results indicate that Pb concentrations in water (48.90 µg/L) exceeded WHO safety guidelines, with the highest levels recorded near the discharge point. Sediment analysis revealed a Geo-accumulation Index (<i>I</i>_<i>geo</i>) for Cr ranging from 1.71 to 4.12, indicating moderate to extreme contamination. Ecological risk indices, including the Water Quality Index (WQI) and Metal Quality Index (MQI), with highest values of 58.04 and 38.81, respectively classified the water as unsuitable for human consumption and aquatic life. Fish species such as <i>O. pama</i>, <i>A. chacunda</i> and <i>G. chapra</i> exhibited high Estimated Daily Intake (EDI) values, with health risk assessments identifying significant non-carcinogenic and carcinogenic risks primarily driven by arsenic exposure (up to 8.83 × 10^–3 for <i>T. ilisha</i>). Contamination Factor (CF) and Potential Ecological Risk Index (RI) suggest moderate to high risks for aquatic organisms. These findings emphasize the urgent need for improved effluent treatment, stricter regulatory enforcement, and sustainable energy alternatives. Future research should focus on seasonal variations, bioaccumulation trends, and long-term mitigation strategies to safeguard environmental and public health.</p></div>","PeriodicalId":808,"journal":{"name":"Water, Air, & Soil Pollution","volume":"236 6","pages":""},"PeriodicalIF":3.8,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143871226","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":"Groundwater Quality Prediction Using Proximal Hyperspectral Sensing, GIS, and Machine Learning Algorithms","authors":"Hemant Raheja,&nbsp;Arun Goel,&nbsp;Mahesh Pal","doi":"10.1007/s11270-025-07997-x","DOIUrl":"10.1007/s11270-025-07997-x","url":null,"abstract":"<div><p>The primary objective of the present study is to assess the suitability of groundwater for drinking purposes using the Water Quality Index (WQI), Geographic Information System (GIS), and proximal sensing techniques. For this purpose, 272 groundwater samples collected before and after the monsoon period were analyzed for various hydrochemical parameter concentrations. To explore the relationship between water spectral reflectance and WQI, a spectroradiometer was used to measure the reflectance of each sample under laboratory conditions. Four machine learning procedures i.e., Support Vector Regression (SVR), M5P, Random Forest (RF), and Gaussian Process Regression (GPR) were used to predict WQI using resampled spectral reflectance. The WQI analysis revealed that approximately 30% of the groundwater samples fell within the poor to extremely poor-quality category in both periods, while 55.88% (Pre-monsoon) and 55.14% (Post-monsoon) of samples were classified under moderate quality, indicating marginal suitability for drinking purposes. The spectral curves of WQI indicated a lower reflectance for water samples with lower WQI values, whereas higher reflectance values were associated with higher WQI values. Performance evaluation of machine learning models demonstrated that SVR outperformed M5P, RF, and GPR, achieving the highest Correlation Coefficient (CC = 0.9964) and the lowest Root Mean Square Error (RMSE = 7.0313 mg/L) and Mean Absolute Error (MAE = 3.5056 mg/L) in the training phase, while maintaining similar performance in the testing phase (CC = 0.9964, RMSE = 7.6748 mg/L, MAE = 4.0297 mg/L). These findings highlight the potential of integrating spectral reflectance with machine learning models for accurate groundwater quality assessment and spatial mapping.</p></div>","PeriodicalId":808,"journal":{"name":"Water, Air, & Soil Pollution","volume":"236 6","pages":""},"PeriodicalIF":3.8,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143871176","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":"Distribution of Microbial Community in Coal Reservoir with Ability to Generate Methane by Anaerobically Degrading Coal","authors":"Shenyu Mi,&nbsp;Yatong Cheng,&nbsp;Hongguang Guo,&nbsp;Ze Deng","doi":"10.1007/s11270-025-08040-9","DOIUrl":"10.1007/s11270-025-08040-9","url":null,"abstract":"<div><p>The utilization of biogenic coalbed methane (CBM) can meet the increasing demand of energy and reduce the burden of fossil energy on the environment. The in situ microorganisms are the performers in the generation of biogenic CBM and the key to the formation of biogenic CBM and microbially enhanced CBM (MECBM). However, the variability of microbial community structure in different coal seams of one basin has still not been reported, and the reasons for the significant differences among coal, water, gas, and coalfield are not clear. Here, microbial communities in coal samples from coal seams 3^#, 9^#, and 15^# associated with Qinshui Basin in China were determined. The archaeal and bacterial diversities in coal seam 3^# were the largest, while the highest fungal diversity was observed in coal seam 15^#. Hydrogenotrophic methanogens, <i>Methanobacterium</i> and <i>Methanocella</i>, dominated in all samples. The bacterial communities varied while the fungal communities showed higher similarity among samples. Syntrophic relationship was found between bacteria, fungi and methanogen that the organics in coal would be degraded by bacteria and fungi to facilitate methanogenesis. The differences of microbial communities in various basins were further discussed to be caused by the diverse coal structures and hard migration of microorganisms which were respectively influenced by coal formation process and characteristics of porous media in strata. These results suggested that geological history coupled with biological migration contributed to the structure of existing microbial community which further determine the formation pathway of biogenic CBM.</p></div>","PeriodicalId":808,"journal":{"name":"Water, Air, & Soil Pollution","volume":"236 6","pages":""},"PeriodicalIF":3.8,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143871362","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":"Chemometrics and Human Health Risk Assessment Associated with BTEX Compounds in Groundwater at Gas Stations","authors":"Lícia P. S. Cruz,&nbsp;Mateus S. Moreira,&nbsp;Ivanice F. dos Santos,&nbsp;Franciele O. C. da Rocha,&nbsp;Danillo L. Assunção,&nbsp;Rejane P. J. Santana,&nbsp;Basílio E. da Cruz Filho","doi":"10.1007/s11270-025-08007-w","DOIUrl":"10.1007/s11270-025-08007-w","url":null,"abstract":"<div><p>Benzene, toluene, ethylbenzene, and o-, m-, and p-xylenes (BTEX) are classified as priority environmental pollutants due to their high toxicity and mobility, being used as indicators of groundwater contamination by petroleum derivatives. Thus, the objective of this study was to assess the human health risks considering the lifetime carcinogenic (LCR) and non-carcinogenic (as hazard quotient—HQ) risks for 3 different age groups exposed to BTEX compounds by ingestion and dermal absorption routes, as well as applying chemometric methods to obtain correlations between BTEX concentrations and physicochemical parameters in groundwater samples obtained from gas stations (GS) in the city of Salvador, Brazil. Principal component analysis (PCA) and hierarchical analysis (HCA) showed a high negative correlation between BTEX compounds, and the physicochemical parameters monitored, being the variables pH and dissolved oxygen that most influenced the BTEX levels in groundwater, as well as showing a strong positive correlation between the BTEX compounds, thus confirming a common source for these compounds as being mainly accidental leaks from the underground fuel storage tanks in the GS. According to a probabilistic health risk assessment with Monte Carlo simulation, the HQ values ​​for BTEX compounds were below the limit established by United States Environmental Protection Agency—USEPA (HQ = 1) for all groups, considering both routes of exposure. For the three population groups, the ingestion route was the one with the highest LCR values and, in the case of ethylbenzene, most of the values were above the acceptable limit by USEPA (1.0 × 10^–6), therefore indicating risks to human health.</p></div>","PeriodicalId":808,"journal":{"name":"Water, Air, & Soil Pollution","volume":"236 6","pages":""},"PeriodicalIF":3.8,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143871227","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":"Advancing Arsenic Removal: Leveraging the Efficiency of Magnetic Graphene Oxide Nanocomposite","authors":"Jovana Pešić,&nbsp;Malcolm Watson,&nbsp;Jasmina Nikić,&nbsp;Đurđa Kerkez,&nbsp;Jovana Jokić Govedarica,&nbsp;Marija Maletin,&nbsp;Jasmina Agbaba","doi":"10.1007/s11270-025-08000-3","DOIUrl":"10.1007/s11270-025-08000-3","url":null,"abstract":"<div><p>The widespread contamination of water resources is a global concern. In this study, magnetic graphene oxide (MGO) was prepared from graphene oxide (GO), and both nanomaterials investigated as adsorbents for the removal of arsenic. GO synthesized by a modified Hummer's method was further modified with magnetite nanoparticles to obtain MGO. Subsequent characterization with a variety of techniques confirmed the structural integrity of both types of nanoparticles and the presence of functional groups essential for effective adsorption. Adsorption kinetics experiments on both materials were well modelled by the pseudo-second order and Weber-Morris models, suggesting that both chemisorption and intra-particle diffusion control the adsorption kinetics of As(V) on MGO and GO. The magnetite modification of GO was highly effective in increasing arsenic adsorption capacity, with the Langmuir isotherm model returning a q_max for MGO more than 5 times greater than GO alone. Response surface methodology (RSM) was used to investigate the impact of initial As concentration, pH and the presence of dissolved organic carbon (DOC) on the adsorption of As onto MGO. In addition to the As concentration, the RSM model revealed significant interaction effects between the pH and the other parameters investigated, highlighting the importance of this parameter whilst optimising adsorption processes. Finally, both GO and MGO maintained their integrity across 5 adsorption/desorption cycles, with the high performance of MGO confirming its long-term potential as an environmentally sustainable solution for arsenic removal.</p></div>","PeriodicalId":808,"journal":{"name":"Water, Air, & Soil Pollution","volume":"236 6","pages":""},"PeriodicalIF":3.8,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143871225","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":"Carissa macrocarpa Extract Based Greenly Synthesized AuNPs: A Sustainable Approach for Lead Ion Detection, Azo Dye Degradation, and Antimicrobial Applications","authors":"Abu Bakar Siddique,&nbsp;Muhammad Ashraf Shaheen,&nbsp;Azhar Abbas,&nbsp;Yasir Zaman,&nbsp;Mamoon Ur Rasheed,&nbsp;Abdul Karim,&nbsp;Muhammad Mustaqeem,&nbsp;Muhammad Fayyaz ur Rehman,&nbsp;Mohammad Mahtab Alam,&nbsp;Amirah S. Alahmari","doi":"10.1007/s11270-025-08014-x","DOIUrl":"10.1007/s11270-025-08014-x","url":null,"abstract":"<div><p>Nanotechnology has served enormously to preserve the environment in terms of detection and remediation of pollutants. Owing to multifunctional applications of noble metal nanoparticles, we have first time reported the <i>Carissa macrocarpa</i> fruit extract based greenly synthesized gold nanoparticles (CMFE@AuNPs) for cost effective sensitive sensing of Pb²⁺ ions, photodegradation of hazardous azo dyes and bactericidal applications. Phyto functionalized CMFE@AuNPs were synthesized by one step approach under sunlight and characterized by UV–Vis, FTIR, XRD, HR-TEM, EDX, DLS, and ZP analysis. Optimized ellipsoid-shaped CMFE@AuNPs having average crystallite size of 31.5 nm have shown sensitive and selective detection potential to detect Pb²⁺ ions in spiked water with an LOD of 117 nm. The effect of temperature, pH, and interfering ions showed the minimum effect on the detection of Pb²⁺ ions for real-time applications. CMFE@AuNPs have also shown remarkable photocatalytic potential by degradation of MB (83.1%) and MO (72.7%) under sunlight with rate constant values of 1.2 × 10^–2 min⁻¹ and 0.87 × 10^–2 min⁻¹ for MB and MO, respectively. The effect of temperature, pH, catalyst dosage, and various water compositions was analyzed on the degradation process. Thermodynamic and kinetic studies showed the endothermic and non-spontaneous nature of the degradation process. Additionally, CMFE@AuNPs have also shown appreciable antioxidant activity with an <i>IC</i>_<i>50</i> value of 25.4 ± 1.1 μg/mL accessed by DPPH scavenging assay and antibacterial applications by inhibiting the growth of gram-positive and gram-negative bacterial strains. Hence, it has been concluded that these CMFE@AuNPs can be used as portable Pb²⁺ sensors and water purification applications at a commercial scale.</p></div>","PeriodicalId":808,"journal":{"name":"Water, Air, & Soil Pollution","volume":"236 6","pages":""},"PeriodicalIF":3.8,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143861311","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":"Air Quality Regulatory of Primary Care Clinics System Designed with IoT Using the Node-RED","authors":"Ali Sinan Cabuk","doi":"10.1007/s11270-025-08020-z","DOIUrl":"10.1007/s11270-025-08020-z","url":null,"abstract":"<div><p>The importance of air quality, particularly in indoor environments such as primary care clinics and hospitals, has gained increased recognition due to the COVID-19 pandemic. Indoor air quality directly affects the health of both patients and healthcare professionals, with poor air quality contributing to the spread of airborne diseases, respiratory infections, and allergic reactions. Despite the increasing need for effective air quality regulation in healthcare settings, many existing systems are costly, complex, and difficult to adapt to various healthcare facilities. This study aims to address these challenges by proposing a low-cost air monitoring and regulation system tailored for primary care clinics. The system integrates particulate matter (PM), Carbon Monoxide (CO), and Nitrogen Dioxide (NO₂) sensors with an IoT-based analysis system, utilizing a Raspberry Pi and an open-source Node-RED platform. The system also incorporates an ionizer and linear motor to improve air quality. Data from both indoor and outdoor air quality measurements, including air quality monitoring station data from Kağıthane, Istanbul, were used in this study. The proposed system ensures fresh air access for both patients and healthcare professionals by adjusting ventilation based on real-time air quality and temperature measurements. Furthermore, the open-source nature of the system allows users to monitor all data remotely via smartphones, tablets, or PCs, offering a cost-effective and user-friendly solution.</p><h3>Graphical Abstract</h3>\u0000<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":808,"journal":{"name":"Water, Air, & Soil Pollution","volume":"236 6","pages":""},"PeriodicalIF":3.8,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s11270-025-08020-z.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143861309","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}