Water Environment Research最新文献

{"title":"Meta-Analysis of Production of Volatile Fatty Acids From Waste Streams: Towards Creating Decision Support Tools for Process Optimization.","authors":"Reema Kumar, Guneet Kaur, Satinder Kaur Brar","doi":"10.1002/wer.70137","DOIUrl":"10.1002/wer.70137","url":null,"abstract":"<p><p>After anaerobic digestion, the sludge in wastewater treatment plants encompasses biosolids and food waste entering the sewer systems through food waste grinders in the kitchen sinks, especially in North America. These digested biosolids and food waste are typically discarded in landfills or incinerated. However, producing volatile fatty acids (VFAs) through fermentation of this waste stream of sludge and food waste is a lucrative value chain to biosolids and food waste management. The co-fermentation of sludge and food waste enhances microbial diversity and provides optimal carbon:nitrogen ratio for VFA generation. However, variation in the source and composition of the food waste significantly impacts the fermentation efficiency. In this study, a meta-analysis of 107 studies from North America was performed to understand the correlation between operational parameters and their effects on VFA production to use it as a tool for process optimization. The 107 studies were selected out of 303 from the database of Scopus and Web of Science from the year 2000 to 2024. The included studies were original research articles with inclusive data on VFA production using food waste as a substrate. Initial substrate concentration was found to be a reliable predictor for VFA production, followed by temperature and pH. Substrate concentrations between 9 and 20 gCOD/L, coupled with temperatures around 25°C or lower and neutral to slightly acidic pH, were observed to create favorable conditions for microbial activity and VFA generation.</p>","PeriodicalId":23621,"journal":{"name":"Water Environment Research","volume":"97 7","pages":"e70137"},"PeriodicalIF":2.5,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12239855/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144592470","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":"The Metabolic Characteristics and Microbial Interactions in the Partial Denitrification Systems Fed With Different Carbon Sources.","authors":"Teng Zhang, Shaofeng Chen, Qiran Yuan, Qiang Yue, Weijing Liu, Guangbing Liu, Jiashun Cao","doi":"10.1002/wer.70141","DOIUrl":"https://doi.org/10.1002/wer.70141","url":null,"abstract":"<p><p>This study systematically investigated the microbial community structure and ecological networks in three partial denitrification (PD) systems driven by sodium acetate (R1), glucose (R2), and glycerol (R3). After 180 days of acclimation, the nitrate to nitrite transformation rates reached 90.15% (R1), 55.47% (R2), and 73.06% (R3). High-throughput sequencing revealed distinct dominant functional microorganisms: Thauera (57.93%) in R1, Azospira (41.63%) in R2, and Saccharibacteria (53.47%) in R3. In R2 and R3, gene functional prediction found that the relative abundance of nitrate reductase (Nar)-related and nitrite reductase (Nir)-related genes was close, but the complex III-related genes gradually decreased, suggesting that nitrite accumulation might correlate with reduced electron transfer efficiency of cytochrome c. In R1 and R2, ecological network analysis demonstrated that Thauera and Azospira exhibited relatively independent ecological subnetworks, whereas Saccharibacteria exhibited extensive interactions with most functional microorganisms in R3. Furthermore, Ohtaekwangia and Anaerolineaceae played crucial roles in maintaining module stability in R2, with Anaerolineaceae additionally acting as module connectors in R3. This study systematically elucidated the metabolic characteristics and microbial interaction mechanisms of PD systems under different carbon sources, providing theoretical support for optimizing PD-anammox coupling technologies.</p>","PeriodicalId":23621,"journal":{"name":"Water Environment Research","volume":"97 7","pages":"e70141"},"PeriodicalIF":2.5,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144592473","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 Determinants of Stream Nitrate Concentrations During Baseflow Conditions in Undisturbed Mountain Streams of Southern Parts of Kyushu, Japan.","authors":"Nay Lin Maung, Naoko Tokuchi, Yukio Komai, Soyoka Makino, Hikari Shimadera, Satoru Chatani, Kazuya Nishina","doi":"10.1002/wer.70131","DOIUrl":"https://doi.org/10.1002/wer.70131","url":null,"abstract":"<p><p>This study investigated the environmental determinants of nitrate (NO₃ ^-) concentrations from undisturbed mountain streams in the southern part of Kyushu Main Island, Japan. Four hundred twenty-seven water samples were collected between April 2021 and December 2022 under the baseflow condition. Random Forest (RF) regression model was used to identify the important environmental factors affecting stream NO₃ ^- concentrations. The RF result revealed that annual precipitation is the most significant determinant, negatively correlation with NO₃ ^- concentrations. This suggests that higher precipitation enhances NO₃ ^- flushing from forest soils, reducing NO₃ ^- availability during subsequent baseflow periods. In contrast, temperature was positively correlated, indicating that higher temperature may increase nitrogen mineralization and nitrification rates, leading to more NO₃ ^- leaching. Atmospheric nitrogen (N) depositions derived from agricultural emissions and fuel combustions are also significantly influenced stream NO₃ ^-. Stream NO₃ ^- concentrations tended to increase when total annual N deposition exceeded approximately 12 kg N ha^-1 year^-1. These findings highlight the importance of climatic variables, particularly precipitation and temperature, and N depositions in determining stream NO₃ ^- concentrations in the wider area, providing a valuable framework for predicting and mitigating N pollution in similar ecosystems globally.</p>","PeriodicalId":23621,"journal":{"name":"Water Environment Research","volume":"97 7","pages":"e70131"},"PeriodicalIF":2.5,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144592469","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":"Integrating Regression and Boosting Techniques for Enhanced River Water Quality Monitoring in the Cauvery Basin: A Seasonal and Sustainable Approach.","authors":"G Gandhimathi, C Chellaswamy, T S Geetha, S A Arunmozhi","doi":"10.1002/wer.70128","DOIUrl":"https://doi.org/10.1002/wer.70128","url":null,"abstract":"<p><p>This study addresses a critical research gap in water quality monitoring, specifically within the Cauvery River basin, where substantial contamination poses significant risks to both human health and aquatic ecosystems. The paper introduces an effective and sustainable river water quality monitoring system, termed MLRMC-WQM (Multiple Linear Regression and Multi-class CatBoost-based Water Quality Monitoring). The system leverages Linear Regression to predict basic water quality parameters based on straightforward relationships, while CatBoost refines these predictions by capturing more complex, nonlinear relationships. Various sensors are integrated with a Raspberry Pi-5, which collects readings at regular intervals. The Raspberry Pi-5 is equipped with wireless communication modules to transmit real-time data to cloud servers, where the information is stored and processed. Cloud platforms provide scalability, security, and accessibility for efficient data management. By incorporating energy-efficient and scalable technologies, the system minimizes environmental impact while ensuring long-term sustainability. If the system detects abnormal levels of pollutants, turbidity, or other parameters, it triggers automated alerts via SMS, email, or app notifications. The effectiveness of the MLRMC-WQM model is assessed using regression metrics, including Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), R-squared (R²), and Mean Squared Error (MSE) to assess the accuracy of parameter predictions, and classification metrics, such as accuracy, precision, and F1-score to evaluate the effectiveness of water quality categorization. A comparative analysis with three state-of-the-art methods demonstrates that the MLRMC-WQM model achieves a validation accuracy of 97.92%, outperforming the other methods. This study contributes a practical, technology-driven tool that bridges environmental science and decision-making. By enabling real-time, multi-faceted monitoring and promoting data-driven and timely interventions, the system supports sustainable water resource management, significantly enhancing efforts to conserve vital water resources and protect ecosystems. SUMMARY: A hybrid methodology has been proposed for effective river water quality monitoring. Real-time data collection has been conducted across multiple locations. Diverse water quality parameters have been measured and analyzed. Two distinct seasons have been analyzed to monitor water quality. The performance of MLRMC-WQM has been evaluated and compared with other machine learning techniques.</p>","PeriodicalId":23621,"journal":{"name":"Water Environment Research","volume":"97 7","pages":"e70128"},"PeriodicalIF":2.5,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144529789","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":"Understanding Microplastic Pollution in Groundwater: Pathways, Health Implications and Solutions.","authors":"S B Sumam, Sneha Gautam, Prince Arulraj","doi":"10.1002/wer.70132","DOIUrl":"https://doi.org/10.1002/wer.70132","url":null,"abstract":"<p><p>During the last several decades, academic studies focused mainly on marine and surface water systems to understand Microplastics (MPs) as plastic particles that measure less than 5 mm. Recent studies indicate that MPs are infiltrating groundwater sources, serving as mankind's most crucial source of fresh water. This review investigates different natural and artificial paths by which MPs enter groundwater reserves through landfills, agricultural drainage, and water processing systems as well as old plastic distribution systems. The manuscript focuses on how MPs interact with subsurface environments while tracking their fundamental movement patterns and long-lasting presence that leads to water quality degradation and harms subsurface ecological systems and human wellness. This document highlights the urgent need for effective detection methods for MPs in groundwater, utilizing advanced spectroscopy techniques coupled with machine learning for identification. As global awareness of microplastic pollution rises, the lack of regulatory standards remains a significant challenge. The study stresses the importance of establishing standardized protocols and implementing policy interventions focused on sustainable groundwater management practices without delay. Future research is recommended to develop long-term monitoring systems and integrate high-resolution modeling along with ethical AI applications to address the escalating threats posed by MPs in groundwater environments. By identifying key research gaps, this study aims to guide advancements in sustainable and scalable microplastic identify cation and removal technologies, essential for mitigating their environmental and health implications.</p>","PeriodicalId":23621,"journal":{"name":"Water Environment Research","volume":"97 7","pages":"e70132"},"PeriodicalIF":2.5,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144592474","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":"A Review of Antibiotic Contamination in Wastewater: Sources, Impacts, and Microbial Bioremediation Techniques.","authors":"Suppasin Thangrongthong, Boonyarut Ladda, Prattakorn Sittisom","doi":"10.1002/wer.70118","DOIUrl":"https://doi.org/10.1002/wer.70118","url":null,"abstract":"<p><p>Antibiotic contamination in water sources is a pressing environmental concern, as it fosters the emergence of antibiotic-resistant bacteria and disrupts ecological balance. This review explores major sources of antibiotic pollution, including municipal and hospital wastewater, pharmaceutical industry effluents, and livestock farm runoff. It also examines the impacts of antibiotic residues on human health and aquatic ecosystems. Microbial bioremediation using bacteria, fungi, and algae has emerged as a promising solution for degrading or transforming antibiotics into less harmful compounds through enzymatic and metabolic pathways. Additionally, advanced treatment technologies such as activated sludge, moving bed biofilm reactors, membrane bioreactors, sequencing batch reactors, constructed wetlands, and microbial fuel cells, along with genetic tools like engineered microorganisms and CRISPR-Cas9, have shown potential to enhance remediation efficiency. Integrating biological, physical, and chemical processes further improves treatment outcomes. This study provides insights into the mechanisms, environmental impacts, and mitigation strategies related to antibiotic contamination, supporting the development of sustainable technologies and improved wastewater management practices. SUMMARY: The contamination of water sources with antibiotics is a major environmental issue that can impact ecosystems and the health of living organisms. Wastewater from communities, hospitals, pharmaceutical manufacturing, and the livestock sector is a major source of antibiotic contamination in water sources. The contamination of water sources with antibiotics impacts human health and aquatic life, including microorganisms, aquatic animals, and algae. Antibiotic remediation in water sources can be achieved through the bioremediation process, utilizing microorganisms such as bacteria, fungi, and algae. Advanced treatment technologies can be integrated with microbial bioremediation processes to enhance the efficiency of antibiotic removal from contaminated water sources.</p>","PeriodicalId":23621,"journal":{"name":"Water Environment Research","volume":"97 7","pages":"e70118"},"PeriodicalIF":2.5,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144545035","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":"Research Progress on the Removal of Fluoride From Water Environment Based on Metal-Organic Frameworks Materials.","authors":"Zhonghong Tan, Hao Huang, Haixia Wu","doi":"10.1002/wer.70136","DOIUrl":"https://doi.org/10.1002/wer.70136","url":null,"abstract":"<p><p>Fluoride pollution in water is a serious global environmental problem that threatens the stability of ecosystems and public health. Metal-organic frameworks (MOFs) show great promise as adsorbents for purifying water because of their large surface area, adjustable pores, and customizable chemical features. This article reviews the latest progress in removing fluoride from water using MOFs. It comprehensively introduces the main ways to make MOFs, assesses how well different MOFs can adsorb fluoride in contaminated water, and analyzes the mechanisms by which they remove fluoride. Additionally, it discusses how key environmental factors affect adsorption efficiency and the development of MOFs design. The future research directions for MOFs in fluoride removal involve developing green synthesis methods and composite materials, optimizing the operating conditions of adsorption and combining MOFs with other methods, strengthening the cooperation between materials science and artificial intelligence, and using machine-learning-assisted screening. This article not only provides a theoretical reference for the material development direction of MOFs but also offers a technical reference for fluoride removal from water.</p>","PeriodicalId":23621,"journal":{"name":"Water Environment Research","volume":"97 7","pages":"e70136"},"PeriodicalIF":2.5,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144592471","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":"Insight Into Greenhouse Gas Emissions and Nitrogen Removal Performance: A Comparative Study on Denitrification and Anammox Under Anoxic Conditions.","authors":"Tan Tan, Yiming Yang, Xueying Wang, Tianxin Wu, Lingxin Zhang, Fengyuan Yu, Jiawei Li, Qianwen Sui, Meixue Chen, Yuansong Wei","doi":"10.1002/wer.70142","DOIUrl":"https://doi.org/10.1002/wer.70142","url":null,"abstract":"<p><p>Wastewater treatment is a significant source of greenhouse gas (GHG) emissions, particularly methane (CH₄) and nitrous oxide (N₂O). Denitrification acts both as a source of N₂O emissions and a sink for its reduction, but the direct measurement of N₂O reduction to N₂ remains a challenge. In this study, an assay method was developed to monitor GHG emissions by comparing denitrification and partial denitrification coupled with anammox (PD/A), with natural isotope analysis used to track N₂O transformation. The results showed that the PD/A process had a higher nitrogen removal rate and decreased N₂O emission by 94% compared to denitrification in the treatment of domestic sewage. Both PD/A and denitrification treatments exhibited similar CH₄ emission factors at 0.06%. In the tests of synthetic wastewater prepared with sodium acetate, both PD/A and denitrification treatments demonstrated a two-fold increase in NO₃ ^--N removal rates, along with a 67%-78% reduction in N₂O emissions and a 67%-83% reduction in CH₄ emissions. Isotope analysis of N₂O indicated that PD/A exhibited a higher ¹⁵N site preference and greater N₂O reduction rates compared to denitrification, contributing to N₂O mitigation. The synergy of denitrifiers (Denitratisoma and Dechloromonas) and anammox bacteria (Candidatus Brocadia) enhanced nitrogen removal rates and reduced N₂O emissions.</p>","PeriodicalId":23621,"journal":{"name":"Water Environment Research","volume":"97 7","pages":"e70142"},"PeriodicalIF":2.5,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144627211","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":"Spatial and Temporal Variability of Perfluoroalkyl and Polyfluoroalkyl Substances in Major Rivers of New Mexico, USA.","authors":"Kimberly R Beisner","doi":"10.1002/wer.70129","DOIUrl":"https://doi.org/10.1002/wer.70129","url":null,"abstract":"<p><p>Perfluoroalkyl and polyfluoroalkyl substances (PFAS) are ubiquitous in the environment, but sources that contribute to temporal and spatial variability in surface waters are not well defined. Many states are assessing PFAS in water resources, and insight from these statewide assessments can help guide future sampling efforts. A statewide assessment of 28 PFAS was conducted in New Mexico starting in 2020, and subsequent follow-up sampling has improved understanding of PFAS occurrence and sources throughout the state. PFAS were present in all major rivers of New Mexico (Rio Grande, Pecos River, San Juan River, Animas River, Canadian River, Gila River, Rio Chama, and Rio Puerco) with 13 of 28 analyzed PFAS (PFBA, PFPeA, PFHxA, PFHpA, PFOA, PFNA, PFDA, PFBs, PFPeS, PFHxS, PFOS, PFOSA, 6:2 FTS) detected from at least one sample for samples collected between 2020 and 2024. This study found high temporal and spatial variability-PFAS concentrations ranged from below the laboratory detection level to 156 ng/L, with concentrations generally increasing downstream on the major rivers. PFBS was the most frequently detected and highest concentration PFAS in this study, ranging from 1 to 93 ng/L, followed by PFBA and PFPeA, ranging from 0.9 to 32 ng/L. The average of the sum of PFAS detected increased by an order of magnitude from 4 to 46 ng/L in the Rio Grande as it flows through Albuquerque, the largest urban area in New Mexico. PFAS concentration increased by 58% after a stormflow pulse flushed over Albuquerque and contributed water to the Rio Grande. The contribution of wastewater to surface water resources varied diurnally as well as seasonally. Sampling multiple locations on major rivers across multiple seasons, taking into account known anthropogenic inputs, would enhance characterization of temporal and spatial variability of PFAS concentrations. Increased sampling frequency at sites with wastewater contribution and focused investigations in areas with higher than expected PFAS could increase understanding of potential sources and variability of source contributions.</p>","PeriodicalId":23621,"journal":{"name":"Water Environment Research","volume":"97 7","pages":"e70129"},"PeriodicalIF":2.5,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144592472","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":"Recovery of Nitrogen and Phosphorus as Nutrients From Wastewater Using Sorbents and Its Potential Reutilization as a Soil Conditioner: A Review.","authors":"Jun Jie Lim, Sumathi Sethupathi, Nor Ismaliza Mohd Ismail, Yamuna Munusamy","doi":"10.1002/wer.70104","DOIUrl":"https://doi.org/10.1002/wer.70104","url":null,"abstract":"<p><p>Wastewater treatment is crucial to ensure environmental sustainability and the availability of clean water for human consumption. It is of utmost importance that the valuable nutrients in the wastewater are recovered. Recently, many researchers have made interesting discoveries using green waste or minerals to treat wastewater and recover nutrients from wastewater. Nutrients which encourage eutrophication of water resources, such as nitrate, nitrite, ammonium, and phosphorus, are the common ones being explored. The nutrients are adsorbed on sorbents, which are recycled from waste and biodegradable material. Upon adsorption of nutrients, the spent sorbents are categorized as green and eco-friendly material which can be further utilized as a soil conditioner. Thus, this review discussed different types of sorbents and its respective efficacy towards nutrient adsorption and feasibility to be recycled as soil conditioner. Factors affecting the performance of the sorbents were detailed and comparisons were made for the best application as soil conditioner. Suggestion was outlined for future focus areas in this work and potential future application in real case scenarios. This review would be beneficial to researchers to achieve a cradle-to-cradle concept for wastewater nutrient recovery. SUMMARY: Recovery of phosphorus and nitrogen from wastewater using sustainable adsorbents Adsorption efficiency of adsorbents aligning with cradle-to-cradle concept Insights into the advantages and limitations of reported adsorbents Spent adsorbents as soil conditioners, enhancing soil fertility, structure, and promoting sustainable nutrient recycling.</p>","PeriodicalId":23621,"journal":{"name":"Water Environment Research","volume":"97 6","pages":"e70104"},"PeriodicalIF":2.5,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144326993","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}