Journal of Environmental Management最新文献

{"title":"Harnessing natural light: Novel nanoheterojunction photocatalyst NaGdF₄:Yb,Tm@TiO₂/Cu₂(OH)₂CO₃ for actual wastewater remediation.","authors":"Mengyu Di, Wenqi Liu, Dan Shan, Yue Zhao, Changyuan Zhang, Yankun Wang, Ran Yi, Yang Wu, Jing Zheng, Baiqi Wang","doi":"10.1016/j.jenvman.2024.123210","DOIUrl":"https://doi.org/10.1016/j.jenvman.2024.123210","url":null,"abstract":"<p><p>This study introduces NaGdF₄:Yb,Tm@TiO₂/Cu₂(OH)₂CO₃ (UTCu), an innovative nanophotocatalyst designed to address global energy crises and water contamination issues. Our developed photocatalyst, NaGdF₄:Yb,Tm@TiO₂/0.5mol%Cu₂(OH)₂CO₃ (UTCu0.5), demonstrated exceptional efficiency, degrading 96.3% of malachite green (MG) within 2 h under Xenon lamp irradiation. The photocatalytic degradation rate of UTCu0.5 surpassed those of UT, Cu₂(OH)₂CO₃, and P25 (Commercial TiO₂) by 3.3, 9, and 2.8 times, respectively. The process effectively mineralized MG into less harmful compounds, marking its potential for eco-friendly wastewater treatment. Furthermore, UTCu0.5 exhibited robust degradation capabilities across various organic dyes and maintained its efficacy in mixed dye systems. Detailed mechanistic analysis revealed that the ·OH and ·O₂^- radicals play pivotal roles in the degradation process, facilitated by the formation of heterojunctions that enhance carrier separation and photocatalytic performance. Theoretical studies supported the significance of S-scheme heterojunctions in boosting the photocatalytic activity of UTCu0.5. Additionally, the catalyst was effective in degrading organic pollutants in different water matrices under both Xenon lamp irradiation and direct sunlight. Remarkably, it achieved a 77.4% removal rate of NH₄^⁺-N in real municipal wastewater under natural sunlight, with a selective conversion rate of 95.3% to N₂, underscoring its practical applicability in environmental remediation. This research not only progresses photocatalysis technology but also provides vital insights for enhancing natural condition wastewater treatment strategies.</p>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"371 ","pages":"123210"},"PeriodicalIF":8.0,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142611296","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Comprehensive assessment of cascading dams-induced hydrological alterations in the lancang-mekong river using machine learning technique.","authors":"Wickramaarachchi C Achini Ishankha, Sangam Shrestha, Doan Van Binh, Sameh A Kantoush","doi":"10.1016/j.jenvman.2024.123082","DOIUrl":"https://doi.org/10.1016/j.jenvman.2024.123082","url":null,"abstract":"<p><p>The development of cascading hydropower dams in river basins has significantly altered natural flow regimes in recent decades. This study investigates hydrological alterations caused by cascading hydropower dams in the Lancang-Mekong River Basin (LMRB) by integrating the Indicators of Hydrologic Alteration (IHA) method with non-regulated flow predicted using the Random Forest (RF) machine learning (ML) technique. The analysis focuses on four hydrological stations: Chiang Saen, Mukdahan, Pakse, and Stung Treng across pre-impact (1961-1991), transition (1992-2008), and post-impact (2009-2021) periods. RF models predict streamflow altered primarily by human activities, particularly hydropower development using spatially averaged daily precipitation, cumulative precipitation, and temperature data. This approach isolates human-induced impacts, unlike previous studies that combined climate change and human activities. Results indicate that post-impact alterations were most pronounced at Chiang Saen (77.3%) and decreased downstream. Alterations increased from the transition to post-impact periods by 31.5%, 22.2%, 26.5%, and 17.6% at Chiang Saen, Mukdahan, Pakse, and Stung Treng, respectively. The median monthly flow, annual extreme conditions, and rate and frequency of flow change groups in the IHA were highly altered compared to natural conditions in the post-impact period. Human activities contributed over 50% of streamflow changes (2017-2021). This approach provides a more precise assessment of dam-induced hydrological alterations, aiding hydropower management by isolating human impacts and offering high-resolution predictions.</p>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"371 ","pages":"123082"},"PeriodicalIF":8.0,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142611229","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Landscape fragmentation of built-up land significantly impact on water quality in the Yellow River Basin.","authors":"Jinghui Dou, Rui Xia, Kai Zhang, Chao Xu, Yan Chen, Xiaoyu Liu, Xikang Hou, Yingze Yin, Lina Li","doi":"10.1016/j.jenvman.2024.123232","DOIUrl":"https://doi.org/10.1016/j.jenvman.2024.123232","url":null,"abstract":"<p><p>Urbanization development often leads to significant changes in the extent in area and fragmentation of built-up land landscape pattern (BLLP) in river basins, which greatly impact the processes of rainfall runoff and pollutant migration. Understanding the spatial scale effects and driving mechanisms of BLLP changes on water quality in large river basins is a challenging research topic and an international frontier in the interdisciplinary fields of geography and environment. This study analyzes the spatial variations of BLLP and water quality throughout the Yellow River Basin (YRB) during the rainy seasons from 2019 to 2021 (4 h scale). Utilized the random forest model to quantitatively separates the contributions of rainfall processes to surface runoff and water pollution, revealing the scale effects and non-linear driving mechanisms of BLLP impacts on water environment changes. The results indicate that: 1) The YRB exhibits great spatial heterogeneity in terms of both BLLP and water quality, with places with lower water quality displaying bigger areas and higher degrees of BLLP fragmentation. 2) The patch density and built-up land area (PD.B and CA.B) have a major impact on changes in water quality in the YRB, with notable impacts noted in circular buffer zones with radii of 20 km and 5 km, respectively. 3) PD.B is sensitive to water quality in the YRB, explaining 39.1%-49.5% of the variance under different rainfall conditions, and exhibits a significant non-linear relationship, with an impact threshold of 0.38 (n/100 ha). The study suggests that for large-scale regions like the YRB, the degree of BLLP fragmentation is more likely to lead to degradation of water environmental quality compared to its area. BLLP fragmentation due to higher PD.B and CA.B disrupts the original ecosystem and hydrological connectivity, resulting in poorer retention and filtration of pollutants carried by rainfall runoff, while increasing the export of other pollutants. However, once urbanization surpasses a certain threshold, the BLLP fragmentation can enhance water quality by reducing the impermeable surface connectivity, as they are no longer impacted by expanding areas. To achieve ecologically sustainable development, it is necessary to apply rational landscape management and water resource management policies that consider the dual process of how BLLP fragmentation affects the water environment.</p>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"371 ","pages":"123232"},"PeriodicalIF":8.0,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142611458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Calcium alginate-biochar composite immobilized A. ferrooxidans effectively removes sulfate and ferric iron from acid mine drainage.","authors":"Rui Li, Bing Wang, Bin Gao, Lei Li, Pan Wu, Xueyang Zhang, Miao Chen, Qianwei Feng","doi":"10.1016/j.jenvman.2024.123227","DOIUrl":"https://doi.org/10.1016/j.jenvman.2024.123227","url":null,"abstract":"<p><p>Bioremediation has been applied in the treatment of acid mine drainage (AMD), but high levels of sulfate (SO₄^2-) and ferric iron (Fe³⁺) in AMD often affect microbial activity. A novel biochar-microorganism composite (I-CMR600) was developed by alginate gel-embedding method to improve the tolerance of microorganisms and the removal effects of SO₄^2- and Fe³⁺ in AMD, and its removal mechanism and biological behavior were explored in this study. The removal performance of I-CMR600 under different influencing factors was studied by batch adsorption experiments. The removal mechanisms and biotransformation of SO₄^2- and Fe³⁺ were explored through different adsorption models combined with physicochemical characterizations. The results showed that A. ferroxidans secreted extracellular polymers to enhance the removal of contaminants, and high concentrations (>400 mg/L) of SO₄^2- and Fe³⁺ inhibited the activity of microorganisms. The Langmuir maximum adsorption capacities of I-CMR600 for SO₄^2- and Fe³⁺ were 32.85 and 63.53 mg/g, respectively. The effects of A. ferroxidans on SO₄^2- and Fe³⁺ were mainly through promoting their biotransformation, the adhesion of A. ferroxidans, and the complexation of secreted extracellular polymers with pollutants. I-CMR600 showed good reusability and promising potential for practical application in actual AMD. This study demonstrates that I-CMR600 is a promising biosorbent, providing a new avenue for removing SO₄^2- and Fe³⁺ from AMD.</p>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"371 ","pages":"123227"},"PeriodicalIF":8.0,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142611223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Harnessing salinity gradient energy: Pushing forward in water reclamation via on-site reverse electrodialysis technology.","authors":"Tamara Sampedro, Elisa Mazo, Lucía Gómez-Coma, Axel Arruti, Marcos Fallanza, Javier Pinedo, Javier Rioyo, María Sainz, Raquel Ibañez, Inmaculada Ortiz","doi":"10.1016/j.jenvman.2024.123251","DOIUrl":"https://doi.org/10.1016/j.jenvman.2024.123251","url":null,"abstract":"<p><p>Effluents from urban wastewater treatment plants (UWWTPs) discharged into water bodies such as the sea or ocean, offer a potential source of renewable energy through the salinity gradient (SGE) between seawater and treated water. The European project Life-3E: Environment-Energy-Economy aims to demonstrate an innovative process integrating renewable energy production with water reclamation. Using reverse electrodialysis (RED) technology, SGE can power tertiary wastewater treatment processes in coastal UWWTPs, offsetting energy costs associated with water regeneration and reuse. This study pioneers a pilot-scale RED system with a 20.125 m² membrane area at a coastal UWWTP in Comillas, Spain. The initial tests with synthetic solutions in the up-scaled RED module have reached a peak power density of 1.39 W/m². Under real environmental conditions, using natural seawater and treated water at ambient temperatures (289 ± 0.5 K), the system achieved a peak power density of 0.95 W/m², outperforming previous setups in stability and efficiency. The results show competitive energy metrics, with an energy efficiency of 1.9 W/m²·m³LC and up to 38.2 Wh/m³LC generated. The treated water, with an inlet conductivity to the RED stack of <1 mS/cm, exits the pilot with a conductivity of around 4 mS/cm (measured under a load of 2A and a flow rate of 500 L/h), maintaining the quality standards for urban reuse. This study demonstrates the effective integration of RED technology into water reclamation stages, creating a self-sustained energy loop and enhancing the efficiency in water management. By harnessing blue energy and supporting sustainable water reuse, this research contributes to the global shift toward a circular water economy and critical sustainability goals.</p>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"371 ","pages":"123251"},"PeriodicalIF":8.0,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142611377","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Optimized groundwater quality evaluation using unsupervised machine learning, game theory and Monte-Carlo simulation.","authors":"Yuting Yan, Yunhui Zhang, Shiming Yang, Denghui Wei, Ji Zhang, Qiang Li, Rongwen Yao, Xiangchuan Wu, Yangshuang Wang","doi":"10.1016/j.jenvman.2024.122902","DOIUrl":"https://doi.org/10.1016/j.jenvman.2024.122902","url":null,"abstract":"<p><p>Assessing groundwater quality is essential for achieving sustainable development goals worldwide. However, it is challenging to conduct hydrochemical analysis and water quality evaluation by traditional methods. To fill this gap, this study analyzed the hydrochemical processes, drinking and irrigation water quality, and associated health risks of 93 groundwater samples from the Sichuan Basin in SW China using advanced unsupervised machine learning, the Combined-Weights Water Quality index, and Monte-Carlo simulations. Groundwater samples were categorized into three types using the self-organizing map with the K-means method: Cluster-1 was Ca-HCO₃ type, Cluster-2 was dominated by Ca-HCO₃, Na-HCO₃, and mixed Na-Ca-HCO₃ types, Cluster-3 was Ca-Cl and Ca-Mg-Cl types. Ion ratio diagrams revealed that carbonate dissolution and silicate weathering primarily influenced the hydrochemical characteristics. Cluster-1 samples exhibited high NO₃^- contents from intensive agricultural activities. Cluster-2 samples with high Na⁺ contents were characterized by positive cation exchange, while Cluster-3 samples with elevated Ca²⁺ and Mg²⁺ contents were influenced by reverse cation exchange. Combined-Weights Water Quality Index indicated that 62.37% of total samples were suitable for drinking, predominantly located in the central part of the study area. Irrigation Water Quality Index revealed that 33.34% of total samples were suitable for irrigation, mainly in the northeastern region. NO₃^- concentration and electrical conductivity (EC) value were the main indicators with the highest sensitivity for drinking and irrigation suitability, respectively. Probabilistic health risk assessments suggested that a significant portion of the groundwater samples posed a health risk greater than 1 to children (63%) and adults (52%) by Monte-Carlo simulation. The high-risk areas (hazard index >4), primarily in the eastern region, are closely associated with nitrate distribution. Sensitivity analysis demonstrated that NO₃^- concentration is the primary indicator accounting for health risks. Reducing the application of nitrogen-based fertilizers on cultivated land is the most effective approach to improve drinking quality and mitigate the associated health risks to the population. This study's findings aim to produce a novel groundwater quality evaluation for promoting the sustainable management and utilization of groundwater resources.</p>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"371 ","pages":"122902"},"PeriodicalIF":8.0,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142611465","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Urban background sounds under various weather conditions categorized for virtual acoustics.","authors":"Josep Llorca-Bofí, Jonas Heck, Christian Dreier, Michael Vorländer","doi":"10.1016/j.jenvman.2024.123081","DOIUrl":"https://doi.org/10.1016/j.jenvman.2024.123081","url":null,"abstract":"<p><p>One of the major problems in the auralization of complex urban scenarios is the creation of ambience, i.e. the diffuse background which represents the sound floor on which the acoustic scene of interest is created. Omitting a realistic ambience results in a sterile and implausible impression. To overcome this drawback, a hybrid approach with admixture of spatially recorded background sounds seems to be a promising approach. This paper provides a protocol to record and categorize background soundscapes for such applications. The freely accessible database contains 102 calibrated recordings at the IHTApark in Aachen (Germany) across various weather conditions, segmented into calibrated 30-second snippets. The categorization is performed based on the meteorological and acoustic parameters.</p>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"371 ","pages":"123081"},"PeriodicalIF":8.0,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142611272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Recent advance on application of biochar in remediation of heavy metal contaminated soil: Emphasis on reaction factor, immobilization mechanism and functional modification.","authors":"Wenpei Guo, Xin Yao, Zhuo Chen, Ting Liu, Wei Wang, Shujun Zhang, Jiuqin Xian, Yuehu Wang","doi":"10.1016/j.jenvman.2024.123212","DOIUrl":"https://doi.org/10.1016/j.jenvman.2024.123212","url":null,"abstract":"<p><p>Soil contamination with heavy metals (HMs) poses a critical environmental challenge that demands immediate attention and resolution. Among the various remediation techniques, biochar emerges as an environmentally friendly option with obvious advantages. Biochar can be obtained by pyrolysis of various biomass and has significant effects in the remediation of heavy metal pollution contaminated soil. In this study, we examined 3489 articles on biochar-based remediation of soil heavy metal contamination published between May 2009 and October 2023, utilizing the Web of Science core collection database. Based on bibliometric methods and big data statistical analysis, CiteSpace visualization software is utilized to create a knowledge map of biochar research, allowing for an analysis of keyword clustering and a summary of the current research hotspots and development trends. Furthermore, this review emphasizes factors influencing the characteristics of biochar, including raw material types, pyrolysis temperature and pyrolysis method. At the same time, the optimal conditions for producing biochar are also presented. Additionally, the mechanisms of biochar remediation for heavy metal contaminated soil are introduced in detail, including electrostatic attraction, ion exchange, physical adsorption, surface complexation and precipitation. Meanwhile, the modification and combined effects of biochar are also reviewed. Finally, the advantages and potential risks of using biochar are explored. It is aims to serve as a reference for subsequent research and promote the application of environmental remediation technologies in polluted soils.</p>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"371 ","pages":"123212"},"PeriodicalIF":8.0,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142611548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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 on the role of various machine learning algorithms in microwave-assisted pyrolysis of lignocellulosic biomass waste.","authors":"Iradat Hussain Mafat, Dadi Venkata Surya, Chinta Sankar Rao, Anurag Kandya, Tanmay Basak","doi":"10.1016/j.jenvman.2024.123277","DOIUrl":"https://doi.org/10.1016/j.jenvman.2024.123277","url":null,"abstract":"<p><p>The fourth industrial revolution will heavily rely on machine learning (ML). The rationale is that these strategies make various business operations in many sectors easier. ML modeling is the discovery of hidden patterns between multiple process parameters and accurately predicting the test values. ML has provided a wide range of applications in Chemical Engineering. One major application of ML can be found in the microwave-assisted pyrolysis (MAP) of lignocellulose bio-waste. MAP is an energy-efficient technology to obtain high-saturated hydrogen-rich liquid fuels. The main focus of this review study is understanding the utilization of various types of ML algorithms, including supervised and unsupervised techniques in microwave-assisted heating techniques for diverse biomass feedstocks, including waste materials like used tea powder, wood blocks, kraft lignin, and others. In addition to developing effective ML-based models, alternative traditional modeling approaches are also explored. In addition to various thermochemical conversion processes for biomass, MAP is also briefly reviewed with several case studies from the literature. The conventional modeling methodology for biomass pyrolysis with microwave heating is also discussed for comparison with ML-based modeling methodologies.</p>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"371 ","pages":"123277"},"PeriodicalIF":8.0,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142611101","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"River stabilization reshaped human-nature interactions in the Lower Yellow River Floodplain.","authors":"Chentai Jiao, Xutong Wu, Shuang Song, Shuai Wang, Bei Xiang, Bojie Fu","doi":"10.1016/j.jenvman.2024.122957","DOIUrl":"https://doi.org/10.1016/j.jenvman.2024.122957","url":null,"abstract":"<p><p>Floodplains are crucial agricultural and populated areas worldwide. Rivers typically shape human activities within floodplains through water supply and flood risk, forming unique human-nature interaction patterns. Given that river systems have undergone significant transformations globally, understanding the response of these interactions to hydrological changes is elementary. Here, using the Lower Yellow River Floodplain (LYRF) as a case, where continuous levees distinctly outline the river-influenced floodplain from a homogenous cultivated plain and the river's hydrology has undergone dramatic alterations since the 1990s, we analyzed how the human-nature interactions respond to river hydrological changes. This study found that the flood-prone nature of the Lower Yellow River has weakened from 1986 to 2021 as shown by decreased surface water extent and inundated extent of cropland. The intensity of agriculture inside the LYRF has been lower but experienced faster development than outside, minimizing the disparity between them. Meanwhile, human activities in the floodplain have moved closer to the river. These changes in human-nature interactions in the LYRF can be explained by the river stabilization caused by upstream regulation, underscoring the significance of integrated river governance in managing human-nature system in floodplain areas.</p>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"371 ","pages":"122957"},"PeriodicalIF":8.0,"publicationDate":"2024-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142611097","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}