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V-FloodNet: A video segmentation system for urban flood detection and quantification V-FloodNet:一个用于城市洪水检测和量化的视频分割系统
Environ. Model. Softw. Pub Date : 2022-11-01 DOI: 10.2139/ssrn.4185396
Yongqing Liang, Xin Li, Brian Tsai, Qin Chen, N. Jafari
{"title":"V-FloodNet: A video segmentation system for urban flood detection and quantification","authors":"Yongqing Liang, Xin Li, Brian Tsai, Qin Chen, N. Jafari","doi":"10.2139/ssrn.4185396","DOIUrl":"https://doi.org/10.2139/ssrn.4185396","url":null,"abstract":"","PeriodicalId":12033,"journal":{"name":"Environ. Model. Softw.","volume":"53 1","pages":"105586"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84714472","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Integrated hydro informatics tool to assess hydrological alteration on gauged sites: Hydra-Eflow 综合水文信息学工具，以评估水文变化在测量站点:水电流量
Environ. Model. Softw. Pub Date : 2022-11-01 DOI: 10.2139/ssrn.4102829
R. Arévalo-Mejía, É. Leblois, C. Mastachi-Loza, H. Salinas-Tapia, K. Bâ, A. Y. Vilchis-Francés, Rocio Becerril-Piña, C. Díaz-Delgado
{"title":"Integrated hydro informatics tool to assess hydrological alteration on gauged sites: Hydra-Eflow","authors":"R. Arévalo-Mejía, É. Leblois, C. Mastachi-Loza, H. Salinas-Tapia, K. Bâ, A. Y. Vilchis-Francés, Rocio Becerril-Piña, C. Díaz-Delgado","doi":"10.2139/ssrn.4102829","DOIUrl":"https://doi.org/10.2139/ssrn.4102829","url":null,"abstract":"","PeriodicalId":12033,"journal":{"name":"Environ. Model. Softw.","volume":"356 1","pages":"105592"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82040872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
QUIC-URB and QUIC-fire extension to complex terrain: Development of a terrain-following coordinate system 复杂地形的QUIC-URB和QUIC-fire扩展:地形跟踪坐标系统的发展
Environ. Model. Softw. Pub Date : 2022-11-01 DOI: 10.2139/ssrn.4167750
D. Robinson, S. Brambilla, Michael J. Brown, P. Conry, B. Quaife, R. Linn
{"title":"QUIC-URB and QUIC-fire extension to complex terrain: Development of a terrain-following coordinate system","authors":"D. Robinson, S. Brambilla, Michael J. Brown, P. Conry, B. Quaife, R. Linn","doi":"10.2139/ssrn.4167750","DOIUrl":"https://doi.org/10.2139/ssrn.4167750","url":null,"abstract":"","PeriodicalId":12033,"journal":{"name":"Environ. Model. Softw.","volume":"353 1","pages":"105579"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76470741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Near-real-time satellite precipitation data ingestion into peak runoff forecasting models 将近实时卫星降水数据纳入峰值径流预测模型
Environ. Model. Softw. Pub Date : 2022-11-01 DOI: 10.2139/ssrn.4187674
Paul Muñoz, G. Corzo, D. Solomatine, J. Feyen, R. Célleri
{"title":"Near-real-time satellite precipitation data ingestion into peak runoff forecasting models","authors":"Paul Muñoz, G. Corzo, D. Solomatine, J. Feyen, R. Célleri","doi":"10.2139/ssrn.4187674","DOIUrl":"https://doi.org/10.2139/ssrn.4187674","url":null,"abstract":"","PeriodicalId":12033,"journal":{"name":"Environ. Model. Softw.","volume":"3 1","pages":"105582"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89067617","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Advancing reservoir operations modelling in SWAT to reduce socio-ecological tradeoffs 改进SWAT中的油藏作业模型，以减少社会生态权衡
Environ. Model. Softw. Pub Date : 2022-09-01 DOI: 10.2139/ssrn.4096558
Sarah Jordan, J. Quinn, M. Zaniolo, M. Giuliani, A. Castelletti
{"title":"Advancing reservoir operations modelling in SWAT to reduce socio-ecological tradeoffs","authors":"Sarah Jordan, J. Quinn, M. Zaniolo, M. Giuliani, A. Castelletti","doi":"10.2139/ssrn.4096558","DOIUrl":"https://doi.org/10.2139/ssrn.4096558","url":null,"abstract":"","PeriodicalId":12033,"journal":{"name":"Environ. Model. Softw.","volume":"1 1","pages":"105527"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78548788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
post-MORDM: Mapping policies to synthesize optimization and robustness results for decision-maker compromise 后mordm:映射策略以综合决策者妥协的优化和鲁棒性结果
Environ. Model. Softw. Pub Date : 2022-08-01 DOI: 10.2139/ssrn.4096557
Nathan Bonham, J. Kasprzyk, E. Zagona
{"title":"post-MORDM: Mapping policies to synthesize optimization and robustness results for decision-maker compromise","authors":"Nathan Bonham, J. Kasprzyk, E. Zagona","doi":"10.2139/ssrn.4096557","DOIUrl":"https://doi.org/10.2139/ssrn.4096557","url":null,"abstract":"","PeriodicalId":12033,"journal":{"name":"Environ. Model. Softw.","volume":"3 1","pages":"105491"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88206991","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
TIPT: The Tracer Injection Planning Tool 提示:示踪剂注入计划工具
Environ. Model. Softw. Pub Date : 2022-08-01 DOI: 10.2139/ssrn.4102830
R. González‐Pinzón, J. Dorley, J. Singley, K. Singha, M. Gooseff, T. Covino
{"title":"TIPT: The Tracer Injection Planning Tool","authors":"R. González‐Pinzón, J. Dorley, J. Singley, K. Singha, M. Gooseff, T. Covino","doi":"10.2139/ssrn.4102830","DOIUrl":"https://doi.org/10.2139/ssrn.4102830","url":null,"abstract":"","PeriodicalId":12033,"journal":{"name":"Environ. Model. Softw.","volume":"62 1","pages":"105504"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72775561","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Multi-modal temporal CNNs for live fuel moisture content estimation 多模态时域cnn用于活燃料含水量估计
Environ. Model. Softw. Pub Date : 2022-08-01 DOI: 10.2139/ssrn.4118154
Lynn Miller, Liujun Zhu, M. Yebra, C. Rüdiger, G. I. Webb
{"title":"Multi-modal temporal CNNs for live fuel moisture content estimation","authors":"Lynn Miller, Liujun Zhu, M. Yebra, C. Rüdiger, G. I. Webb","doi":"10.2139/ssrn.4118154","DOIUrl":"https://doi.org/10.2139/ssrn.4118154","url":null,"abstract":"","PeriodicalId":12033,"journal":{"name":"Environ. Model. Softw.","volume":"43 1","pages":"105467"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86685356","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
Intelligent Spatial Interpolation-based Frost Prediction Methodology using Artificial Neural Networks with Limited Local Data 基于有限局部数据的人工神经网络的智能空间插值霜冻预测方法
Environ. Model. Softw. Pub Date : 2022-04-15 DOI: 10.48550/arXiv.2204.08465
Ian Zhou, J. Lipman, M. Abolhasan, N. Shariati
{"title":"Intelligent Spatial Interpolation-based Frost Prediction Methodology using Artificial Neural Networks with Limited Local Data","authors":"Ian Zhou, J. Lipman, M. Abolhasan, N. Shariati","doi":"10.48550/arXiv.2204.08465","DOIUrl":"https://doi.org/10.48550/arXiv.2204.08465","url":null,"abstract":"The weather phenomenon of frost poses great threats to agriculture. As recent frost prediction methods are based on on-site historical data and sensors, extra development and deployment time are required for data collection in any new site. The aim of this article is to eliminate the dependency on on-site historical data and sensors for frost prediction methods. In this article, a frost prediction method based on spatial interpolation is proposed. The models use climate data from existing weather stations, digital elevation models surveys, and normalized difference vegetation index data to estimate a target site's next hour minimum temperature. The proposed method utilizes ensemble learning to increase the model accuracy. Climate datasets are obtained from 75 weather stations across New South Wales and Australian Capital Territory areas of Australia. The results show that the proposed method reached a detection rate up to 92.55%.","PeriodicalId":12033,"journal":{"name":"Environ. Model. Softw.","volume":"6 1","pages":"105724"},"PeriodicalIF":0.0,"publicationDate":"2022-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86723495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Investigating hydrologic alteration in the Pearl and Pascagoula River basins using rule-based model trees 利用基于规则的模型树研究珍珠河和帕斯卡古拉河流域的水文变化
Environ. Model. Softw. Pub Date : 2022-01-01 DOI: 10.1016/j.envsoft.2022.105322
V. Roland, Elena Crowley-Ornelas, K. Rodgers
{"title":"Investigating hydrologic alteration in the Pearl and Pascagoula River basins using rule-based model trees","authors":"V. Roland, Elena Crowley-Ornelas, K. Rodgers","doi":"10.1016/j.envsoft.2022.105322","DOIUrl":"https://doi.org/10.1016/j.envsoft.2022.105322","url":null,"abstract":"","PeriodicalId":12033,"journal":{"name":"Environ. Model. Softw.","volume":"81 2 1","pages":"105667"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91034343","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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