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}
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}
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}
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}
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}
{"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}
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}
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}
Pub Date : 2022-04-15DOI: 10.48550/arXiv.2204.08465
Ian Zhou, J. Lipman, M. Abolhasan, N. Shariati
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%.
{"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}
Pub Date : 2022-01-01DOI: 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}
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