Pub Date : 2022-01-01DOI: 10.1590/2318-0331.272220220093
Ian Henrique Teles Braga, Vinicius Pereira do Sacramento, Lígia Claudia Castro de Oliveira, F. N. S. Medeiros, F. A. Rodrigues
ABSTRACT Change detection based on remote sensing images, has attracted increasing attention from researchers throughout the world. The synthetic aperture radar (SAR) images have become key resources for detecting changes on the land surface. However, due to the presence of speckle noise and its stochastic nature, SAR data require methodologies that consider these peculiarities. This article presents a similarity measure that considers the randomness present in SAR data. To retrieve the random component in the SAR data, we used the stochastic distance. The similarity measure is carefully elaborated as a function of the stochastic distance such that its variation space is the interval [0, 1], facilitating its interpretation. Our proposal shows promising results in two applications: contrast evaluation, ocean surface change detection and binary change map. It is noteworthy that the possible limitations of our proposal are investigated through simulations guided by a Monte Carlo experiment.
{"title":"Ocean surface change detection from remote sensing image based on stochastic similarity measure","authors":"Ian Henrique Teles Braga, Vinicius Pereira do Sacramento, Lígia Claudia Castro de Oliveira, F. N. S. Medeiros, F. A. Rodrigues","doi":"10.1590/2318-0331.272220220093","DOIUrl":"https://doi.org/10.1590/2318-0331.272220220093","url":null,"abstract":"ABSTRACT Change detection based on remote sensing images, has attracted increasing attention from researchers throughout the world. The synthetic aperture radar (SAR) images have become key resources for detecting changes on the land surface. However, due to the presence of speckle noise and its stochastic nature, SAR data require methodologies that consider these peculiarities. This article presents a similarity measure that considers the randomness present in SAR data. To retrieve the random component in the SAR data, we used the stochastic distance. The similarity measure is carefully elaborated as a function of the stochastic distance such that its variation space is the interval [0, 1], facilitating its interpretation. Our proposal shows promising results in two applications: contrast evaluation, ocean surface change detection and binary change map. It is noteworthy that the possible limitations of our proposal are investigated through simulations guided by a Monte Carlo experiment.","PeriodicalId":54151,"journal":{"name":"RBRH-Revista Brasileira de Recursos Hidricos","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79021760","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: 10.1590/2318-0331.272220220040
A. Reis, Rubens Takeji Aoki Araujo Martins, L. E. Bertotto, Érick Rúbens Oliveira Cobalchini, Y. Ishizawa, E. Wendland
ABSTRACT This study aims to present how continuous and systematic monitoring in representative and experimental watersheds can help form high-level professionals and researchers in water resources, based on a case study of the Onça Creek Watershed (OCW). Through a historical survey of the monitoring network and the scientific studies carried out in the area, we identified people and map their geographical and professional location, to analyze the impact and importance of this area for the water resources community. We identified 90 scientific studies already developed at the OCW, which resulted in 22 masters and 4 Ph.D. students formed, involving another 33 external collaborators. We observed that 85% of the trained professionals continue to exercise functions related to water resources, in public and private institutions, throughout Brazil and abroad. We highlight the importance of financial support from research and development agencies, both for the monitoring network expansion and the training students' scholarships. We believe that the involvement of water resources graduate programs can be a way to increase the number of experimental and representative watersheds monitored in Brazil.
{"title":"Experimental and representative watersheds as a training site of qualified professionals in water resources: a case study of Onça Creek Watershed (SP, Brazil)","authors":"A. Reis, Rubens Takeji Aoki Araujo Martins, L. E. Bertotto, Érick Rúbens Oliveira Cobalchini, Y. Ishizawa, E. Wendland","doi":"10.1590/2318-0331.272220220040","DOIUrl":"https://doi.org/10.1590/2318-0331.272220220040","url":null,"abstract":"ABSTRACT This study aims to present how continuous and systematic monitoring in representative and experimental watersheds can help form high-level professionals and researchers in water resources, based on a case study of the Onça Creek Watershed (OCW). Through a historical survey of the monitoring network and the scientific studies carried out in the area, we identified people and map their geographical and professional location, to analyze the impact and importance of this area for the water resources community. We identified 90 scientific studies already developed at the OCW, which resulted in 22 masters and 4 Ph.D. students formed, involving another 33 external collaborators. We observed that 85% of the trained professionals continue to exercise functions related to water resources, in public and private institutions, throughout Brazil and abroad. We highlight the importance of financial support from research and development agencies, both for the monitoring network expansion and the training students' scholarships. We believe that the involvement of water resources graduate programs can be a way to increase the number of experimental and representative watersheds monitored in Brazil.","PeriodicalId":54151,"journal":{"name":"RBRH-Revista Brasileira de Recursos Hidricos","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84248892","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: 10.1590/2318-0331.272220220043
Henrique Degraf, D. H. M. Detzel
ABSTRACT The reservoir storage-yield-reliability (S-Y-R) curve defines the required volume to meet a specific yield. It is typically obtained through the historical streamflow time series; however, as an effect of nonstationarity, the statistical properties of a streamflow series may vary, which might lead to a change in the reservoir’s operational risk. In this study we explore this issue by analyzing two sets of annual data: (i) natural energy flows to aggregated reservoirs, and (ii) streamflow time series of four hydropower plants currently in operation in Brazil. The study is supported by Monte Carlo simulations to account for the reliability of the S-Y-R curves. Results suggest that the time series from the Southern and Northeast regions exhibit upward and downward trends, respectively. Consequently, the regularization capacity of the Southern reservoir decreased, however only in relative terms. On the other hand, the Northeastern reservoir had an actual loss of its regularization capacity as an effect of lower average streamflow.
{"title":"Influence of nonstationarity on reservoir storage-yield-reliability relationships","authors":"Henrique Degraf, D. H. M. Detzel","doi":"10.1590/2318-0331.272220220043","DOIUrl":"https://doi.org/10.1590/2318-0331.272220220043","url":null,"abstract":"ABSTRACT The reservoir storage-yield-reliability (S-Y-R) curve defines the required volume to meet a specific yield. It is typically obtained through the historical streamflow time series; however, as an effect of nonstationarity, the statistical properties of a streamflow series may vary, which might lead to a change in the reservoir’s operational risk. In this study we explore this issue by analyzing two sets of annual data: (i) natural energy flows to aggregated reservoirs, and (ii) streamflow time series of four hydropower plants currently in operation in Brazil. The study is supported by Monte Carlo simulations to account for the reliability of the S-Y-R curves. Results suggest that the time series from the Southern and Northeast regions exhibit upward and downward trends, respectively. Consequently, the regularization capacity of the Southern reservoir decreased, however only in relative terms. On the other hand, the Northeastern reservoir had an actual loss of its regularization capacity as an effect of lower average streamflow.","PeriodicalId":54151,"journal":{"name":"RBRH-Revista Brasileira de Recursos Hidricos","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84349553","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: 10.1590/2318-0331.272220210139
Luísa Ciríaco Silva de Oliveira, I. L. Lima Neto
Abstract This paper presents experimental studies to explore the behavior of upward water jets in granular beds. The test conditions included both the cavity and chimney regime. Combining our results with data available in the literature, it was possible to fit a linear relationship to describe the dimensionless upward water velocity at the bed surface (u/U) as a function of kFr, in which Fr is the Froude number and k is a fitting parameter that was linearly related with the medium particle diameter d. A threshold condition (kFr = 1) was also proposed to predict the onset of the chimney regime, which was consistent with published data. Finally, a simple equation based on d, D and H was derived to predict the real-scale leakage flow rate Q from upward water jets bursting at the ground. The results obtained will potentially help water utilities estimate the water loss from underground pipelines.
{"title":"Prediction of leakage flow rate from upward water jets bursting at the ground","authors":"Luísa Ciríaco Silva de Oliveira, I. L. Lima Neto","doi":"10.1590/2318-0331.272220210139","DOIUrl":"https://doi.org/10.1590/2318-0331.272220210139","url":null,"abstract":"Abstract This paper presents experimental studies to explore the behavior of upward water jets in granular beds. The test conditions included both the cavity and chimney regime. Combining our results with data available in the literature, it was possible to fit a linear relationship to describe the dimensionless upward water velocity at the bed surface (u/U) as a function of kFr, in which Fr is the Froude number and k is a fitting parameter that was linearly related with the medium particle diameter d. A threshold condition (kFr = 1) was also proposed to predict the onset of the chimney regime, which was consistent with published data. Finally, a simple equation based on d, D and H was derived to predict the real-scale leakage flow rate Q from upward water jets bursting at the ground. The results obtained will potentially help water utilities estimate the water loss from underground pipelines.","PeriodicalId":54151,"journal":{"name":"RBRH-Revista Brasileira de Recursos Hidricos","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84407632","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: 10.1590/2318-0331.272220220051
Yoshiaki Sakagami, Vinicius Nunes Folganes, C. A. Penz, Murilo Reolon Scuzziato, F.Y.K. Takigawa
ABSTRACT In this study, we used neural networks known as self-organizing maps (SOMs) to identify clusters of spatial synoptic precipitation patterns. These clusters were compared with the precipitation regime of the ten main hydrographic sub-basins in Brazil. Sixty years of daily precipitation data obtained from over 389 weather station in Brazil were used as input data for the SOMs, with a number of six clusters being prescribed as the optimal number according to the elbow and silhouette methods. The six precipitation patterns identified by the SOMs reflect the typical synoptic conditions associated mainly with the cold frontal systems (CF), South American Monsoon System (SAMS) and Inter-tropical Convergence Zone (ITCZ). In conclusion, SOMs perform well using interpolated precipitation data as the input data to identify synoptic precipitation patterns, which could be used to monitor the spatial distribution of precipitation, which affects the hydrographic basins in Brazil and hence hydropower plant performance.
{"title":"Use of self organizing map to identify precipitation patterns and assess their impact on hydrographic basins in Brazil","authors":"Yoshiaki Sakagami, Vinicius Nunes Folganes, C. A. Penz, Murilo Reolon Scuzziato, F.Y.K. Takigawa","doi":"10.1590/2318-0331.272220220051","DOIUrl":"https://doi.org/10.1590/2318-0331.272220220051","url":null,"abstract":"ABSTRACT In this study, we used neural networks known as self-organizing maps (SOMs) to identify clusters of spatial synoptic precipitation patterns. These clusters were compared with the precipitation regime of the ten main hydrographic sub-basins in Brazil. Sixty years of daily precipitation data obtained from over 389 weather station in Brazil were used as input data for the SOMs, with a number of six clusters being prescribed as the optimal number according to the elbow and silhouette methods. The six precipitation patterns identified by the SOMs reflect the typical synoptic conditions associated mainly with the cold frontal systems (CF), South American Monsoon System (SAMS) and Inter-tropical Convergence Zone (ITCZ). In conclusion, SOMs perform well using interpolated precipitation data as the input data to identify synoptic precipitation patterns, which could be used to monitor the spatial distribution of precipitation, which affects the hydrographic basins in Brazil and hence hydropower plant performance.","PeriodicalId":54151,"journal":{"name":"RBRH-Revista Brasileira de Recursos Hidricos","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81147565","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: 10.1590/2318-0331.272220220055
Maiara de Lemos Câmara, Joana Darc Freire de Medeiros, A. G. Maia
ABSTRACT Inter-basin water-transfer projects are used as a possible solution to increasing water scarcity in many regions, but these projects are often expensive and require large infrastructures, so their benefits need to be maximised and their costs reduced. In this context, this study’s objective was to define technical criteria to operate water reservoirs in the context of water transfer between river basins by using Brazil’s Armando Ribeiro Gonçalves (ARG) reservoir in the state of Rio Grande do Norte, one of the reservoirs receiving water from the São Francisco River Integration Project (PISF), as a case study. The results demonstrate that using hydrological conditions to define when and how much water to transfer is extremely important for water resource management, as it increases reservoir efficiency and reduces transferred volumes, thereby cutting costs.
{"title":"Reservoir operation in the context of inter-basin water transfer","authors":"Maiara de Lemos Câmara, Joana Darc Freire de Medeiros, A. G. Maia","doi":"10.1590/2318-0331.272220220055","DOIUrl":"https://doi.org/10.1590/2318-0331.272220220055","url":null,"abstract":"ABSTRACT Inter-basin water-transfer projects are used as a possible solution to increasing water scarcity in many regions, but these projects are often expensive and require large infrastructures, so their benefits need to be maximised and their costs reduced. In this context, this study’s objective was to define technical criteria to operate water reservoirs in the context of water transfer between river basins by using Brazil’s Armando Ribeiro Gonçalves (ARG) reservoir in the state of Rio Grande do Norte, one of the reservoirs receiving water from the São Francisco River Integration Project (PISF), as a case study. The results demonstrate that using hydrological conditions to define when and how much water to transfer is extremely important for water resource management, as it increases reservoir efficiency and reduces transferred volumes, thereby cutting costs.","PeriodicalId":54151,"journal":{"name":"RBRH-Revista Brasileira de Recursos Hidricos","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86798325","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: 10.1590/2318-0331.272220220060
L. Amorim, A. Magalhães, JOSE RODOLFO SCARATI MARTINS, B. Duarte, F. Nogueira
ABSTRACT Hydrological models are one of the most effective ways of assessing water behavior and flood risk, although the quality of their results is determined by the input data representativity, especially rainfall. Normally, only rain gauge data is used, unable to represent rain spatial variability. Aiming to reduce the model’s uncertainties, hydrological model performance was evaluated in determining the runoff based on distributed rainfall data applied in an urban watershed with macro drainage structures. A distributed rainfall data, derived from a conditional merging of radar and field measurements, was used as the hydrological model’s input data, and led to very accurate runoff results. The analysis of the results demonstrated that to model urban watersheds with accuracy, distributed rainfall data is required, as well as knowledge about the sewage and drainage systems, reinforcing the need to use tools that are compatible with the site complexity.
{"title":"Hydrological modeling using distributed rainfall data to represent the flow in urban watersheds","authors":"L. Amorim, A. Magalhães, JOSE RODOLFO SCARATI MARTINS, B. Duarte, F. Nogueira","doi":"10.1590/2318-0331.272220220060","DOIUrl":"https://doi.org/10.1590/2318-0331.272220220060","url":null,"abstract":"ABSTRACT Hydrological models are one of the most effective ways of assessing water behavior and flood risk, although the quality of their results is determined by the input data representativity, especially rainfall. Normally, only rain gauge data is used, unable to represent rain spatial variability. Aiming to reduce the model’s uncertainties, hydrological model performance was evaluated in determining the runoff based on distributed rainfall data applied in an urban watershed with macro drainage structures. A distributed rainfall data, derived from a conditional merging of radar and field measurements, was used as the hydrological model’s input data, and led to very accurate runoff results. The analysis of the results demonstrated that to model urban watersheds with accuracy, distributed rainfall data is required, as well as knowledge about the sewage and drainage systems, reinforcing the need to use tools that are compatible with the site complexity.","PeriodicalId":54151,"journal":{"name":"RBRH-Revista Brasileira de Recursos Hidricos","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86118326","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: 10.1590/2318-0331.272220210118
Alexson Caetano da Silva, Edinilson de Castro Ferreira, J. Cabral, J. G. Azevedo
ABSTRACT This study determines the degree of hydrological stress (HS) on the Goiana River basin in Pernambuco, a state in northeastern Brazil. The hydrological stress index is obtained by comparing the values of the surface permits with the limits granted by the managers. The results pointed to a situation of “High” hydrological stress (HS) in the Nazaré da Mata sub-basin, with approximately 94.76% of the grantable flow being used. In the Caricé sub-basin, the degree of hydrological stress was considered “Medium,” with about 31.77% of available flow being granted. The other sub-basins had results considered to be “Low” hydrological stress (between 0% and 25%). Given these results, this study emphasizes the importance of constantly monitoring data on the demand for water use in the region and improving the criteria management bodies follow when granting permits.
摘要本研究确定了巴西东北部伯南布哥州Goiana河流域的水文应力(HS)程度。水文应力指数是通过将地表许可值与管理者授予的限值进行比较得到的。结果表明，nazar da Mata子流域处于“高”水文应力(HS)状态，约有94.76%的可采流量被利用。在加勒比次流域，水文压力程度被认为是“中等”，约31.77%的可用流量被授予。其他子流域的结果被认为是“低”水文应力(在0%至25%之间)。鉴于这些结果，本研究强调了不断监测该区域用水需求数据和改进管理机构在颁发许可证时所遵循的标准的重要性。
{"title":"Determination of hydrological stress in a river basin in northeastern Brazil","authors":"Alexson Caetano da Silva, Edinilson de Castro Ferreira, J. Cabral, J. G. Azevedo","doi":"10.1590/2318-0331.272220210118","DOIUrl":"https://doi.org/10.1590/2318-0331.272220210118","url":null,"abstract":"ABSTRACT This study determines the degree of hydrological stress (HS) on the Goiana River basin in Pernambuco, a state in northeastern Brazil. The hydrological stress index is obtained by comparing the values of the surface permits with the limits granted by the managers. The results pointed to a situation of “High” hydrological stress (HS) in the Nazaré da Mata sub-basin, with approximately 94.76% of the grantable flow being used. In the Caricé sub-basin, the degree of hydrological stress was considered “Medium,” with about 31.77% of available flow being granted. The other sub-basins had results considered to be “Low” hydrological stress (between 0% and 25%). Given these results, this study emphasizes the importance of constantly monitoring data on the demand for water use in the region and improving the criteria management bodies follow when granting permits.","PeriodicalId":54151,"journal":{"name":"RBRH-Revista Brasileira de Recursos Hidricos","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90683557","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: 10.1590/2318-0331.272220220067
C. Chagas, R. M. Moreira, C. H. Augustin, J. V. Bandeira, C. A. C. Carvalho Filho
ABSTRACT One of the dilemmas that characterizes the end of active service of small hydroelectric plants (SHPs) is regarding the destination of the dams. This is the case of the Pandeiros SHP, located in the state of Minas Gerais, Brazil. Several alternatives are being considered to make its decommissioning feasible, such as opening the bottom discharge gate and removing the reservoir containment dike. However, in a review of recent research in the basin, more than 200 active gullies were found upstream of the dam, contributing to the silting up of the reservoir and of the Pantanal Mineiro, an extensive wetland downstream of the SHP that is vital to the biodiversity of the region. Following a worldwide movement to reuse such structures, periodic dredging of part of the sediment retained in the reservoir is proposed, converting it into a trap to reduce the silting of the wetland by the upstream sediment, in addition to the creation of a reserve volume of water needed for agriculture and human consumption.
{"title":"Reuse of a dam as sediment trap and water reserve","authors":"C. Chagas, R. M. Moreira, C. H. Augustin, J. V. Bandeira, C. A. C. Carvalho Filho","doi":"10.1590/2318-0331.272220220067","DOIUrl":"https://doi.org/10.1590/2318-0331.272220220067","url":null,"abstract":"ABSTRACT One of the dilemmas that characterizes the end of active service of small hydroelectric plants (SHPs) is regarding the destination of the dams. This is the case of the Pandeiros SHP, located in the state of Minas Gerais, Brazil. Several alternatives are being considered to make its decommissioning feasible, such as opening the bottom discharge gate and removing the reservoir containment dike. However, in a review of recent research in the basin, more than 200 active gullies were found upstream of the dam, contributing to the silting up of the reservoir and of the Pantanal Mineiro, an extensive wetland downstream of the SHP that is vital to the biodiversity of the region. Following a worldwide movement to reuse such structures, periodic dredging of part of the sediment retained in the reservoir is proposed, converting it into a trap to reduce the silting of the wetland by the upstream sediment, in addition to the creation of a reserve volume of water needed for agriculture and human consumption.","PeriodicalId":54151,"journal":{"name":"RBRH-Revista Brasileira de Recursos Hidricos","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77887159","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: 10.1590/2318-0331.272220220030
André Luís Tonin, R. Paiva
ABSTRACT The HEC-RAS software reaches its 6.0.0 version in May of 2021, introducing new computational tools to its users. Among these new tools, HEC-RAS is capable of simulating spatially varied rain and evaporation data by grid, constant values or table format. A 2D Sinos river model was created with the intent of testing mainly these two new tools. The Sinos river is located in the state of Rio Grande do Sul, Brazil. The model was calibrated and validated before being used. This article focus mainly in describing floodplain drying, those in which are used for agricultural purpose.
{"title":"Flooding and drying simulation on floodplains using a 2D HEC-RAS model: a Sinos river case study","authors":"André Luís Tonin, R. Paiva","doi":"10.1590/2318-0331.272220220030","DOIUrl":"https://doi.org/10.1590/2318-0331.272220220030","url":null,"abstract":"ABSTRACT The HEC-RAS software reaches its 6.0.0 version in May of 2021, introducing new computational tools to its users. Among these new tools, HEC-RAS is capable of simulating spatially varied rain and evaporation data by grid, constant values or table format. A 2D Sinos river model was created with the intent of testing mainly these two new tools. The Sinos river is located in the state of Rio Grande do Sul, Brazil. The model was calibrated and validated before being used. This article focus mainly in describing floodplain drying, those in which are used for agricultural purpose.","PeriodicalId":54151,"journal":{"name":"RBRH-Revista Brasileira de Recursos Hidricos","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75112572","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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