Environmental Modelling & Software最新文献

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A two-way coupled CHANS model for flood emergency management, with a focus on temporary flood defences 用于洪水应急管理的双向耦合 CHANS 模型,重点关注临时防洪设施
IF 4.8 2区 环境科学与生态学
Environmental Modelling & Software Pub Date : 2024-07-26 DOI: 10.1016/j.envsoft.2024.106166
Haoyang Qin , Qiuhua Liang , Huili Chen , Varuna De Silva
{"title":"A two-way coupled CHANS model for flood emergency management, with a focus on temporary flood defences","authors":"Haoyang Qin ,&nbsp;Qiuhua Liang ,&nbsp;Huili Chen ,&nbsp;Varuna De Silva","doi":"10.1016/j.envsoft.2024.106166","DOIUrl":"10.1016/j.envsoft.2024.106166","url":null,"abstract":"<div><p>This study presents a novel Coupled Human And Natural Systems (CHANS) modelling framework that integrates a hydrodynamic model with an agent-based model at the memory level within a multi-GPU computing environment. This two-way coupled model captures real-time interactions between human activities and flood dynamics, with a focus on the deployment of temporary flood defences during the 2015 Desmond flood in Carlisle, UK. The findings reveal that temporary defences can significantly reduce flood inundation by 30% with early warnings and 15% through real-time decision-making, leading to financial savings of £30 million and £15 million, respectively. The study further explores the decision-making process for effective emergency flood management, emphasising the importance of early warnings and resources optimisation. The new CHANS model provides a valuable tool for testing and optimising emergency flood management strategies, highlighting the necessity of directly incorporating human activities into flood risk management.</p></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"181 ","pages":"Article 106166"},"PeriodicalIF":4.8,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1364815224002275/pdfft?md5=7a068d49ed943987438a63fbe3cfc7b7&pid=1-s2.0-S1364815224002275-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141844458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}
引用次数: 0
Enhancing algal bloom forecasting: A novel framework for machine learning performance evaluation during periods of special temporal patterns 加强藻华预测:特殊时间模式时期机器学习性能评估的新框架
IF 4.8 2区 环境科学与生态学
Environmental Modelling & Software Pub Date : 2024-07-25 DOI: 10.1016/j.envsoft.2024.106164
Wei Xia , Ilija Ilievski , Christine Ann Shoemaker
{"title":"Enhancing algal bloom forecasting: A novel framework for machine learning performance evaluation during periods of special temporal patterns","authors":"Wei Xia ,&nbsp;Ilija Ilievski ,&nbsp;Christine Ann Shoemaker","doi":"10.1016/j.envsoft.2024.106164","DOIUrl":"10.1016/j.envsoft.2024.106164","url":null,"abstract":"<div><p>The evaluation of algal bloom forecasting models typically relies on error metrics that quantify the forecasting performance over the whole test set as a single number. Furthermore, the comparison with simple baseline methods is often omitted. To address this, we introduce a novel framework for Model performance Analysis and Visualization of time series forecasting (MAVts). MAVts incorporates novel algorithms for the automatic identification and visualization of time series periods of interest where the forecasting models are evaluated and compared with simple baseline methods. The application of MAVts on evaluating algal bloom forecasting models composed of sophisticated machine learning (ML) methods, reveals that in 85% of experiments a single error metric is not enough and only in 12.5% of experiments a ML model outperforms all baselines on all metrics and periods of interest. Thus, MAVts emerges as a valuable tool for analyzing and comparing ML models, advancing environmental management and protection.</p></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"180 ","pages":"Article 106164"},"PeriodicalIF":4.8,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141847391","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}
引用次数: 0
Ozone exceedance forecasting with enhanced extreme instance augmentation: A case study in Germany 利用增强的极端实例增量进行臭氧超标预报:德国案例研究
IF 4.8 2区 环境科学与生态学
Environmental Modelling & Software Pub Date : 2024-07-25 DOI: 10.1016/j.envsoft.2024.106162
Tuo Deng , Astrid Manders , Arjo Segers , Arnold Willem Heemink , Hai Xiang Lin
{"title":"Ozone exceedance forecasting with enhanced extreme instance augmentation: A case study in Germany","authors":"Tuo Deng ,&nbsp;Astrid Manders ,&nbsp;Arjo Segers ,&nbsp;Arnold Willem Heemink ,&nbsp;Hai Xiang Lin","doi":"10.1016/j.envsoft.2024.106162","DOIUrl":"10.1016/j.envsoft.2024.106162","url":null,"abstract":"<div><p>Accurately forecasting ozone levels that exceed specific thresholds is pivotal for mitigating adverse effects on both the environment and public health. However, predicting such ozone exceedances remains challenging due to the infrequent occurrence of high-concentration ozone data. This research, leveraging data from 57 German monitoring stations from 1999 to 2018, introduces an Enhanced Extreme Instance Augmentation Random Forest (EEIA-RF) approach that significantly improves the prediction of days when the maximum daily 8-hour average ozone concentrations exceed <span><math><mrow><mn>120</mn><mspace></mspace><mi>μ</mi><msup><mrow><mi>g/m</mi></mrow><mrow><mn>3</mn></mrow></msup></mrow></math></span>. A pre-trained machine learning model is used to generate additional high-concentration data, which, combined with selectively reduced low-concentration data, forms a new dataset for training a refined model. This method achieved an improvement of at least 8% in the accuracy of predicting days with ozone exceedances across Germany. Our experiment underscores the approach’s value in enhancing atmospheric modeling and supporting public health advisories and environmental policy-making related to ozone pollution.</p></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"181 ","pages":"Article 106162"},"PeriodicalIF":4.8,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1364815224002238/pdfft?md5=0b6548812a7d499cf6cf3ae42866116c&pid=1-s2.0-S1364815224002238-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141848377","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}
引用次数: 0
Digital twin-based virtual modeling of the Poyang Lake wetland landscapes 基于数字孪生的鄱阳湖湿地景观虚拟模型
IF 4.8 2区 环境科学与生态学
Environmental Modelling & Software Pub Date : 2024-07-24 DOI: 10.1016/j.envsoft.2024.106168
Hao Chen , Xin Xiao , Chao Chen , Min Chen , Chaoyang Li , Kai Lu , Hui Lin , Chaoyang Fang
{"title":"Digital twin-based virtual modeling of the Poyang Lake wetland landscapes","authors":"Hao Chen ,&nbsp;Xin Xiao ,&nbsp;Chao Chen ,&nbsp;Min Chen ,&nbsp;Chaoyang Li ,&nbsp;Kai Lu ,&nbsp;Hui Lin ,&nbsp;Chaoyang Fang","doi":"10.1016/j.envsoft.2024.106168","DOIUrl":"10.1016/j.envsoft.2024.106168","url":null,"abstract":"<div><p>Virtual wetland landscapes of provide fundamental support for digital twin watershed constructions. However, most digital twin applications in natural environments have focused on static digital scenes and little consideration for wetlands. The Poyang Lake is characterized by seasonal hydrologic changes, with periodic plant community successions, making it necessary to capture dynamic changes in the Poyang Lake ecological landscapes through dynamic three-dimensional (3D) scenes. This study selected typical landscapes to establish digital twin scenarios, presenting the virtual landscapes, distribution characteristics of flora and fauna in the Poyang Lake wetland, and seasonal changes in the lake water levels. The results can be used to restore the virtual Poyang Lake landscapes, including seasonal changes in the water surface, vegetation growth, and migratory bird activities. This construction process can be applied to similar digital twin constructs for flood-prone wetland watersheds, providing insights into digital twin watersheds or nature-oriented digital twin development.</p></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"181 ","pages":"Article 106168"},"PeriodicalIF":4.8,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141768998","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}
引用次数: 0
Transfer learning with convolutional neural networks for hydrological streamline delineation 利用卷积神经网络进行水文流线划定的迁移学习
IF 4.8 2区 环境科学与生态学
Environmental Modelling & Software Pub Date : 2024-07-24 DOI: 10.1016/j.envsoft.2024.106165
Nattapon Jaroenchai , Shaowen Wang , Lawrence V. Stanislawski , Ethan Shavers , Zhe Jiang , Vasit Sagan , E. Lynn Usery
{"title":"Transfer learning with convolutional neural networks for hydrological streamline delineation","authors":"Nattapon Jaroenchai ,&nbsp;Shaowen Wang ,&nbsp;Lawrence V. Stanislawski ,&nbsp;Ethan Shavers ,&nbsp;Zhe Jiang ,&nbsp;Vasit Sagan ,&nbsp;E. Lynn Usery","doi":"10.1016/j.envsoft.2024.106165","DOIUrl":"10.1016/j.envsoft.2024.106165","url":null,"abstract":"<div><p>Hydrological streamline delineation is critical for effective environmental management, influencing agriculture sustainability, river dynamics, watershed planning, and more. This study develops a novel approach to combining transfer learning with convolutional neural networks that capitalize on ImageNet pre-trained models to improve the accuracy and transferability of streamline delineation. We evaluate the performance of eleven ImageNet pre-trained models and a baseline model using datasets from Rowan County, NC, and Covington River, VA in the USA. Our results demonstrate that when models are adapted to a new area, the fine-tuned ImageNet pre-trained model exhibits superior predictive accuracy, markedly higher than the models trained from scratch or those only fine-tuned on the same area. Moreover, the ImageNet model achieves better smoothness and connectivity between classified streamline channels. These findings underline the effectiveness of transfer learning in enhancing the delineation of hydrological streamlines across varied geographies, offering a scalable solution for accurate and efficient environmental modelling.</p></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"181 ","pages":"Article 106165"},"PeriodicalIF":4.8,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141769016","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}
引用次数: 0
A unified runoff generation scheme for applicability across different hydrometeorological zones 适用于不同水文气象区的统一径流生成方案
IF 4.8 2区 环境科学与生态学
Environmental Modelling & Software Pub Date : 2024-07-22 DOI: 10.1016/j.envsoft.2024.106138
Qinuo Zhang , Ke Zhang , Lijun Chao , Xinyu Chen , Nan Wu
{"title":"A unified runoff generation scheme for applicability across different hydrometeorological zones","authors":"Qinuo Zhang ,&nbsp;Ke Zhang ,&nbsp;Lijun Chao ,&nbsp;Xinyu Chen ,&nbsp;Nan Wu","doi":"10.1016/j.envsoft.2024.106138","DOIUrl":"10.1016/j.envsoft.2024.106138","url":null,"abstract":"<div><p>Runoff generation in humid and semi-arid regions are usually dominated by saturation-excess mechanism and infiltration-excess mechanism, respectively. However, both mechanisms can co-exist in semi-humid regions. Therefore, we proposed a unified runoff generation scheme to represent the single and mixed runoff generation processes, making it applicable for different hydrometeorological conditions. The saturation-excess runoff generation scheme of the Xin'anjiang model was integrated with a modified Horton infiltration scheme at the grid cell scale. By substituting the original runoff generation scheme of the grid-Xin'anjiang (GXAJ) with the integrated scheme, we developed a new distributed hydrological model called grid-Xin'anjiang-infiltration-excess (GXAJ-IE) model. GXAJ-IE was tested in four watersheds and compared with two benchmark models with single runoff generation mechanism. The results indicate that GXAJ-IE model has higher flexibility and robustness in reproducing flood hydrographs under different rainfall conditions in semi-humid watersheds and has comparable performances with the benchmark models in humid and semi-arid regions.</p></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"180 ","pages":"Article 106138"},"PeriodicalIF":4.8,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141769018","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}
引用次数: 0
A novel multi-model ensemble framework for fluvial flood inundation mapping 用于绘制河道洪水淹没图的新型多模型集合框架
IF 4.8 2区 环境科学与生态学
Environmental Modelling & Software Pub Date : 2024-07-22 DOI: 10.1016/j.envsoft.2024.106163
Nikunj K. Mangukiya , Shashwat Kushwaha , Ashutosh Sharma
{"title":"A novel multi-model ensemble framework for fluvial flood inundation mapping","authors":"Nikunj K. Mangukiya ,&nbsp;Shashwat Kushwaha ,&nbsp;Ashutosh Sharma","doi":"10.1016/j.envsoft.2024.106163","DOIUrl":"10.1016/j.envsoft.2024.106163","url":null,"abstract":"<div><p>Floods pose a significant threat to communities and infrastructure, necessitating timely predictions for effective disaster management. Conventional hydrodynamic models often encounter limitations in data requirements and computational efficiency. To overcome these constraints, we propose a novel multi-model ensemble framework integrating the flood extent and depth models for fluvial flood mapping. Various flood conditioning factors, such as terrain elevation and slope, flow direction, distance from the river, and latitude-longitude, were selected as model inputs, considering their relevance. The proposed framework was evaluated for predictive, extrapolative, and generalization capabilities. Results indicate that the proposed model successfully captures flood dynamics across a wide range of streamflow values, including unforeseen events, making it a valuable tool for predicting flood extent and depth. Overall, our approach offers a promising alternative to conventional hydrodynamic models, providing robustness, computational efficiency, scalability, automation, and integration with existing tools for flood inundation mapping tasks.</p></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"180 ","pages":"Article 106163"},"PeriodicalIF":4.8,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141769017","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}
引用次数: 0
GeoGOBLIN: A catchment-scale land balance model for assessment of climate mitigation pathways considering environmental trade-offs for multiple impact categories GeoGOBLIN:用于评估气候减缓途径的流域尺度土地平衡模型,考虑多种影响类别的环境权衡。
IF 4.8 2区 环境科学与生态学
Environmental Modelling & Software Pub Date : 2024-07-19 DOI: 10.1016/j.envsoft.2024.106144
Colm Duffy , Daniel Henn , David Styles , Gregory G. Toth , Remi Prudhomme , Pietro P.M. Iannetta , Ken Byrne
{"title":"GeoGOBLIN: A catchment-scale land balance model for assessment of climate mitigation pathways considering environmental trade-offs for multiple impact categories","authors":"Colm Duffy ,&nbsp;Daniel Henn ,&nbsp;David Styles ,&nbsp;Gregory G. Toth ,&nbsp;Remi Prudhomme ,&nbsp;Pietro P.M. Iannetta ,&nbsp;Ken Byrne","doi":"10.1016/j.envsoft.2024.106144","DOIUrl":"10.1016/j.envsoft.2024.106144","url":null,"abstract":"<div><p>GeoGOBLIN, a novel environmental impact and land balance assessment tool, builds upon the GOBLIN biophysical land use emissions model for Ireland, offering enhanced resolution and system-level detail. It combines remotely sensed data and national agricultural census data to model climate change, air quality, and eutrophication emissions at the catchment level. Integration of the CBM-CFS3 forest carbon modelling framework (utilised in Ireland's National Inventory Report) increases alignment with national emissions reporting. GeoGOBLIN disaggregates emissions by life cycle assessment impact categories, making it a valuable tool for policymakers and researchers evaluating environmental and economic trade-offs associated with land-use scenarios. Illustrative scenarios demonstrate GeoGOBLIN's ability to assess the multifaceted impacts of alternative land uses, supporting informed decision-making for sustainable land use, food production, and a circular bioeconomy.</p></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"180 ","pages":"Article 106144"},"PeriodicalIF":4.8,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141847858","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}
引用次数: 0
GIS-based modelling of landscape patterns in mountain areas using climate indices and regression analysis 利用气候指数和回归分析建立山区景观模式的地理信息系统模型
IF 4.8 2区 环境科学与生态学
Environmental Modelling & Software Pub Date : 2024-07-18 DOI: 10.1016/j.envsoft.2024.106160
Hristina Prodanova , Stoyan Nedkov , Galin Petrov
{"title":"GIS-based modelling of landscape patterns in mountain areas using climate indices and regression analysis","authors":"Hristina Prodanova ,&nbsp;Stoyan Nedkov ,&nbsp;Galin Petrov","doi":"10.1016/j.envsoft.2024.106160","DOIUrl":"10.1016/j.envsoft.2024.106160","url":null,"abstract":"<div><p>The approach of defining landscape patterns based on climate indices is applied in a case study area in North-Central Bulgaria. The results proved the strong interrelation between the climate indices and the elevation, enabling the implementation of a regression model. The results of the regression are used to define threshold values for delineation of all potential contours based on climate indices. The GIS modelling enables the integration of the results from different indices for the delineation of landscape contours of five potential landscape types. Four of them are validated with higher precision, proving the approach's applicability. One of the main capacities of the proposed approach is the opportunity for reconstructing climax vegetation and furthermore, the climax ecosystems that form the matrix of the potential landscapes. This can significantly contribute to assessing ecosystems and their services for restoration measures and implementing nature-based solutions.</p></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"180 ","pages":"Article 106160"},"PeriodicalIF":4.8,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1364815224002214/pdfft?md5=91d4a21720aaeaac348062b94adfc881&pid=1-s2.0-S1364815224002214-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141769019","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}
引用次数: 0
Virtual forests for decision support and stakeholder communication 用于决策支持和利益相关者交流的虚拟森林
IF 4.8 2区 环境科学与生态学
Environmental Modelling & Software Pub Date : 2024-07-18 DOI: 10.1016/j.envsoft.2024.106159
Stefan Holm, Janine Schweier
{"title":"Virtual forests for decision support and stakeholder communication","authors":"Stefan Holm,&nbsp;Janine Schweier","doi":"10.1016/j.envsoft.2024.106159","DOIUrl":"10.1016/j.envsoft.2024.106159","url":null,"abstract":"<div><p>Challenges in forest management are increasing due to climate change and its associated risks. Considering the needs and demands of various stakeholders leads to more complex decision-making. The increasing amount and quality of available geographic, forest and individual tree data, the combination of this data, and the use of forest growth simulators make it possible to support forest managers in this decision-making process. Our aim was to develop a strong visualization instrument that can be used in both forest planning and stakeholder communication. We present a solution based on a game engine, where data from multiple sources (terrain data, satellite imagery, tree data) is combined into a virtual environment. The user can move freely inside this virtual forest, look at the forest from arbitrary perspectives, and observe its development over the years under different management scenarios. We demonstrate the usefulness of this approach with a study region in Switzerland.</p></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"180 ","pages":"Article 106159"},"PeriodicalIF":4.8,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1364815224002202/pdfft?md5=eebdce4be6b03902ecb126bd15a96924&pid=1-s2.0-S1364815224002202-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141769020","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}
引用次数: 0
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