cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.7336550.v1
title: Hydrological simulation uncertainties in small basins through the SWAT model

description: RESUMO A modelagem hidrológica é uma das principais ferramentas de apoio à gestão dos recursos hídricos. Entretanto, vários fatores dificultam a extrapolação dos parâmetros estimados em bacias com grandes áreas de contribuição para bacias de pequena dimensão. O objetivo deste trabalho foi analisar as incertezas na simulação de vazões em bacias de pequena dimensão. O processo metodológico envolveu a aplicação do modelo de simulação hidrológica Soil and Water Assesssment Tool (SWAT) à bacia representativa do ribeirão Concórdia (30,74 km 2) e à bacia do rio Itajaí (15.000 km2). Primeiramente, comparou-se 6 cenários distintos de discretização das unidades de respostas hidrológicas (HRUs) na calibração e validação da bacia hidrográfica do ribeirão Concórdia, avaliando-se a influência do número de HRU na simulação de pequena bacia hidrográfica. Em seguida, calibrou-se os parâmetros do modelo para a bacia do rio Itajaí, em 12 estações fluviométricas. Posteriormente, determinou-se uma tendência de variação dos parâmetros calibrados através da formulação de equações de regressão. Estas equações foram elaboradas a partir da correlação entre os índices físicos de cada estação fluviométrica considerada e seus valores. No presente estudo, a discretização das HRUs indicou que não há necessidade de aumentar o número de HRU quando o objetivo a ser alcançado é representar os picos do fluxo de água na pequena bacia hidrográfica. Os resultados obtidos com a aplicação das equações de regressão demonstraram que o coeficiente de compacidade (kC) pode gerar até 42,1% de variação na vazão média e 82,7% na Q95 das sub-bacias. Portanto, a utilização das equações de regressão pode auxiliar na redução das incertezas geradas durante a calibração dos parâmetros.
DOI: 10.6084/m9.figshare.7336574
title: Regionalization of precipitation with determination of homogeneous regions via fuzzy c-means

description: ABSTRACT Knowledge about precipitation is indispensable for hydrological and climatic studies because precipitation subsidizes projects related to water supply, sanitation, drainage, flood and erosion control, reservoirs, agricultural production, hydroelectric facilities, and waterway transportation and other projects. In this context, methodologies are used to estimate precipitation in unmonitored locations. Thus, the objectives of this work are to i) identify homogeneous regions of precipitation in the Tocantins-Araguaia Hydrographic Region (TAHR) via the fuzzy c-means method, ii) regionalize and estimate the probability of occurrence of monthly and annual average precipitation using probability distribution models, and iii) regionalize and estimate the precipitation height using multiple regression models. Three homogeneous regions of precipitation were identified, and the results of the performance indices from the regional models of probability distribution were satisfactory for estimating average monthly and annual precipitation. The results of the regional multiple regression models showed that the annual mean precipitation was satisfactorily estimated. For the average monthly precipitation, the estimates of multiple regression models were only satisfactory when the months used were distributed in the dry and rainy seasons. Therefore, our results show that the methodology developed can be used to estimate precipitation in unmonitored locations in the TAHR.
DOI: 10.6084/m9.figshare.7336574.v1
title: Regionalization of precipitation with determination of homogeneous regions via fuzzy c-means

description: ABSTRACT Knowledge about precipitation is indispensable for hydrological and climatic studies because precipitation subsidizes projects related to water supply, sanitation, drainage, flood and erosion control, reservoirs, agricultural production, hydroelectric facilities, and waterway transportation and other projects. In this context, methodologies are used to estimate precipitation in unmonitored locations. Thus, the objectives of this work are to i) identify homogeneous regions of precipitation in the Tocantins-Araguaia Hydrographic Region (TAHR) via the fuzzy c-means method, ii) regionalize and estimate the probability of occurrence of monthly and annual average precipitation using probability distribution models, and iii) regionalize and estimate the precipitation height using multiple regression models. Three homogeneous regions of precipitation were identified, and the results of the performance indices from the regional models of probability distribution were satisfactory for estimating average monthly and annual precipitation. The results of the regional multiple regression models showed that the annual mean precipitation was satisfactorily estimated. For the average monthly precipitation, the estimates of multiple regression models were only satisfactory when the months used were distributed in the dry and rainy seasons. Therefore, our results show that the methodology developed can be used to estimate precipitation in unmonitored locations in the TAHR.
DOI: 10.6084/m9.figshare.7390895
title: A coupled system based on Differential Evolution for the determination of Rainfall intensity equations

description: ABSTRACT Rainfall intensity equations are fundamental in hydrological studies of road design, which require a project rainfall definition to estimate the project flow and the subsequent design of the hydraulic structure. This paper develops an integrated framework for rainfall intensity equations analyses from global optimization via Differential Evolution. The code was specially developed to facilitate the Gumbel model adjustment in the frequency analysis of annual series, as well as the intensity-duration-frequency model fit, without prior knowledge about the parameters of both models. The developed system was evaluated by using Markov chain Monte Carlo simulation, that search efficiently the model parameter space in pursuit of posterior samples and the posterior prediction uncertainty for both models. The results indicate that simulations are shown to be in good agreement with the measured flow and precipitation data. The optimal parameters obtained with the developed framework agreed with the maximum a-posteriori value of the Monte Carlo simulations. The paper illustrates explicitly the benefits of the method using real-world precipitation data collected for a hydrologic study of a highway design.
DOI: 10.6084/m9.figshare.7390895.v1
title: A coupled system based on Differential Evolution for the determination of Rainfall intensity equations

description: ABSTRACT Rainfall intensity equations are fundamental in hydrological studies of road design, which require a project rainfall definition to estimate the project flow and the subsequent design of the hydraulic structure. This paper develops an integrated framework for rainfall intensity equations analyses from global optimization via Differential Evolution. The code was specially developed to facilitate the Gumbel model adjustment in the frequency analysis of annual series, as well as the intensity-duration-frequency model fit, without prior knowledge about the parameters of both models. The developed system was evaluated by using Markov chain Monte Carlo simulation, that search efficiently the model parameter space in pursuit of posterior samples and the posterior prediction uncertainty for both models. The results indicate that simulations are shown to be in good agreement with the measured flow and precipitation data. The optimal parameters obtained with the developed framework agreed with the maximum a-posteriori value of the Monte Carlo simulations. The paper illustrates explicitly the benefits of the method using real-world precipitation data collected for a hydrologic study of a highway design.
DOI: 10.6084/m9.figshare.14329047.v1
title: Transgenderities in Performance: gender disobedience and anticoloniality in the performing arts

description: Abstract: The article presents the scenic devices of transgender performativity in face of the practical and theoretical paths of anticolonial rupture of body norms. It is questioned here the extent to which gender disobedience is an essential factor in the struggle against the colonial project, highlighting how Eurocentrism and whiteness are amalgamated with the precepts of compulsory cisgenderity as body politics. Two performances are analyzed: Tetagrafias and Tran(S)arau (Coimbra/Portugal, 2015 to 2017). Therefore, the coercive aspects of cisnormativity are presented as hegemonic and colonial conception of corporeality, in scene and in daily life.
DOI: 10.6084/m9.figshare.7419893
title: Hydrosedimentological modeling with SWAT using multi-site calibration in nested basins with reservoirs

description: ABSTRACT Calibration and validation of hydrosedimentological models, usually performed at the outlet of a single basin, does not always correctly represent the hydrosedimentological processes in the different subdivisions of dammed river systems. The aim of this study was to evaluate simple calibration techniques (watershed outlet) and multi-site calibration (watershed outlet and internal reservoirs) with the Soil and Water Assessment Tool - SWAT model, using two nested basins in the southern region of Brazil. Three modeling procedures were analyzed, adjusting the hydrological and sedimentological parameters of the watershed and the reservoirs. It was found that (a) the simplest calibration does not correctly represent the processes in reservoirs; (b) the multi-site calibration provided a better simulation of the hydrosedimentological dynamics of the nested basins; and (c) parameterizations of the SWAT reservoir module have limitations in the context of the study area. The results showed that the multi-site calibration in watershed with reservoirs is more appropriate.
DOI: 10.6084/m9.figshare.7419893.v1
title: Hydrosedimentological modeling with SWAT using multi-site calibration in nested basins with reservoirs

description: ABSTRACT Calibration and validation of hydrosedimentological models, usually performed at the outlet of a single basin, does not always correctly represent the hydrosedimentological processes in the different subdivisions of dammed river systems. The aim of this study was to evaluate simple calibration techniques (watershed outlet) and multi-site calibration (watershed outlet and internal reservoirs) with the Soil and Water Assessment Tool - SWAT model, using two nested basins in the southern region of Brazil. Three modeling procedures were analyzed, adjusting the hydrological and sedimentological parameters of the watershed and the reservoirs. It was found that (a) the simplest calibration does not correctly represent the processes in reservoirs; (b) the multi-site calibration provided a better simulation of the hydrosedimentological dynamics of the nested basins; and (c) parameterizations of the SWAT reservoir module have limitations in the context of the study area. The results showed that the multi-site calibration in watershed with reservoirs is more appropriate.
DOI: 10.6084/m9.figshare.8091779
title: Space-Temporal analysis of suspended sediment in low concentration reservoir by remote sensing

description: ABSTRACT The study of small reservoirs with low suspended sediment concentration (CSS) is still a challenge for remote sensing. In this work we estimate CSS from the optical properties of water and orbital imagery. Campaigns were carried out at selected dates according to the calendar of sensor passages, rainfall seasonality and hydrograph of the reservoir for the collection of surface water samples and field spectroradiometry. The calibration between CSS and spectral behavior generated CSS estimation models from MODIS and Landsat 8 data, allowing investigation of their temporal and spatial behavior. The MODIS model generated a time series of CSS from 2000 to 2017, presenting R2 = 0.8105 and RMSE% = 39.91%. The Landsat 8 model allowed the spatial analysis of CSS, with R2 = 0.8352 and RMSE% = 15.12%. The combination of the proposed models allowed the temporal and spatial analysis of the CSS and its relationships with the rainfall regime and the quota variation of the Descoberto reservoir (DF). The results showed that the use of orbital data complements the CSS information obtained by the traditional methods of collecting and analyzing water quality in low CSS reservoirs.
DOI: 10.6084/m9.figshare.8091779.v1
title: Space-Temporal analysis of suspended sediment in low concentration reservoir by remote sensing

description: ABSTRACT The study of small reservoirs with low suspended sediment concentration (CSS) is still a challenge for remote sensing. In this work we estimate CSS from the optical properties of water and orbital imagery. Campaigns were carried out at selected dates according to the calendar of sensor passages, rainfall seasonality and hydrograph of the reservoir for the collection of surface water samples and field spectroradiometry. The calibration between CSS and spectral behavior generated CSS estimation models from MODIS and Landsat 8 data, allowing investigation of their temporal and spatial behavior. The MODIS model generated a time series of CSS from 2000 to 2017, presenting R2 = 0.8105 and RMSE% = 39.91%. The Landsat 8 model allowed the spatial analysis of CSS, with R2 = 0.8352 and RMSE% = 15.12%. The combination of the proposed models allowed the temporal and spatial analysis of the CSS and its relationships with the rainfall regime and the quota variation of the Descoberto reservoir (DF). The results showed that the use of orbital data complements the CSS information obtained by the traditional methods of collecting and analyzing water quality in low CSS reservoirs.
DOI: 10.6084/m9.figshare.8128160
title: Joint calibration of a hydrological model and rating curve parameters for simulation of flash flood in urban areas

description: ABSTRACT Calibration process is usually time demanding and as much streamflow information as possible in rainfall-runoff models. Nevertheless, from a practical point of view, the available information is measurement of water level, which is essential to design rating curves. This manuscript proposes a set of joint calibration of hydrological model parameters with a range of rating curves, developed for the main channel of the catchment in a crowded urban area. As an alternative of free calibration, the simulations were carried out based on a list of proficient parameters. Four streamflow gauging stations were analysed and used to subdivide the basin. The hourly lumped rainfall-runoff model GR4H was applied to four critical flash flood events to create a rank of Nash-Sutcliffe efficiency criteria (NSE) applying the best set of parameters. The results indicated that the hydrological model errors were compensated by hydraulics errors and they presented an equifinality in the process.
DOI: 10.6084/m9.figshare.8128160.v1
title: Joint calibration of a hydrological model and rating curve parameters for simulation of flash flood in urban areas

description: ABSTRACT Calibration process is usually time demanding and as much streamflow information as possible in rainfall-runoff models. Nevertheless, from a practical point of view, the available information is measurement of water level, which is essential to design rating curves. This manuscript proposes a set of joint calibration of hydrological model parameters with a range of rating curves, developed for the main channel of the catchment in a crowded urban area. As an alternative of free calibration, the simulations were carried out based on a list of proficient parameters. Four streamflow gauging stations were analysed and used to subdivide the basin. The hourly lumped rainfall-runoff model GR4H was applied to four critical flash flood events to create a rank of Nash-Sutcliffe efficiency criteria (NSE) applying the best set of parameters. The results indicated that the hydrological model errors were compensated by hydraulics errors and they presented an equifinality in the process.
DOI: 10.6084/m9.figshare.8226929
title: The use of principal component analysis for the construction of the Water Poverty Index

description: ABSTRACT In relation to water resources, indexes can be created to express the multiple dimensions involved with it to aid the planning and management of basins. In this regard, the Water Poverty Index is globally used, but one of its criticisms includes the subjectivity associated with how the sub-indexes are weighted. Therefore, in this study, we applied principal component analysis (PCA) to determine the sub-indexes’ weight: resource, access, capacity, use, and environment of the Seridó river basin. This new index with PCA presents an average range with broader values compared to methodologies without, allowing clear identification of the disparities among the cities and the possibility to better prioritize investments concerning water poverty reduction. Our results show that this approach makes it possible to qualitatively identify geographical locations that have greater water poverty compared to others. Additionally, with this approach, it can be determined whether water poverty is caused due to natural characteristics or deficits in water infrastructure investment, providing insight into social fragilities as well. Overall, the presented hierarchical tool in this study has a high value to improve the planning of water resource uses.
DOI: 10.6084/m9.figshare.8226929.v1
title: The use of principal component analysis for the construction of the Water Poverty Index

description: ABSTRACT In relation to water resources, indexes can be created to express the multiple dimensions involved with it to aid the planning and management of basins. In this regard, the Water Poverty Index is globally used, but one of its criticisms includes the subjectivity associated with how the sub-indexes are weighted. Therefore, in this study, we applied principal component analysis (PCA) to determine the sub-indexes’ weight: resource, access, capacity, use, and environment of the Seridó river basin. This new index with PCA presents an average range with broader values compared to methodologies without, allowing clear identification of the disparities among the cities and the possibility to better prioritize investments concerning water poverty reduction. Our results show that this approach makes it possible to qualitatively identify geographical locations that have greater water poverty compared to others. Additionally, with this approach, it can be determined whether water poverty is caused due to natural characteristics or deficits in water infrastructure investment, providing insight into social fragilities as well. Overall, the presented hierarchical tool in this study has a high value to improve the planning of water resource uses.
DOI: 10.6084/m9.figshare.8292779
title: Time-space characterization of droughts in the São Francisco river catchment using the Standard Precipitation Index and continuous wavelet transform

description: ABSTRACT This paper focuses on time-space characterization of drought conditions in the São Francisco River catchment, on the basis of wavelet analysis of Standardized Precipitation Index (SPI) time series. In order to improve SPI estimation, the procedures for regional analysis with L-moments were employed for defining statistically homogeneous regions. The continuous wavelet transform was then utilized for extracting time-frequency information from the resulting SPI time series in a multiresolution framework and for investigating possible teleconnections of these signals with those obtained from samples of the large-scale climate indexes ENSO and PDO. The use of regional frequency analysis with L-moments resulted in improvements in the estimation of SPI time series. It was observed that by aggregating regional information more reliable estimates of low frequency rainfall amounts were obtained. The wavelet analysis of climate indexes suggests that the more extreme dry periods in the study area are observed when the cold phase of both ENSO and the PDO coincides. While not constituting a strict cause effect relationship, it was clear that the more extreme droughts are consistently observed in this situation. However, further investigation is necessary for identifying particularities in rainfall patterns that are not associated to large-scale climate anomalies.
DOI: 10.6084/m9.figshare.8292779.v1
title: Time-space characterization of droughts in the São Francisco river catchment using the Standard Precipitation Index and continuous wavelet transform

description: ABSTRACT This paper focuses on time-space characterization of drought conditions in the São Francisco River catchment, on the basis of wavelet analysis of Standardized Precipitation Index (SPI) time series. In order to improve SPI estimation, the procedures for regional analysis with L-moments were employed for defining statistically homogeneous regions. The continuous wavelet transform was then utilized for extracting time-frequency information from the resulting SPI time series in a multiresolution framework and for investigating possible teleconnections of these signals with those obtained from samples of the large-scale climate indexes ENSO and PDO. The use of regional frequency analysis with L-moments resulted in improvements in the estimation of SPI time series. It was observed that by aggregating regional information more reliable estimates of low frequency rainfall amounts were obtained. The wavelet analysis of climate indexes suggests that the more extreme dry periods in the study area are observed when the cold phase of both ENSO and the PDO coincides. While not constituting a strict cause effect relationship, it was clear that the more extreme droughts are consistently observed in this situation. However, further investigation is necessary for identifying particularities in rainfall patterns that are not associated to large-scale climate anomalies.
DOI: 10.6084/m9.figshare.8292776
title: Caffeine as a chemical tracer for contamination of urban rivers

description: ABSTRACT The growing urbanization in urban centers have continuously contributed to the deterioration of water quality in rivers. The use of caffeine as a chemical tracer for anthropic activities is an approach to the environmental monitoring of urban waterbodies, as its use is limited to humans and less susceptible to sampling error comparing to other traditional parameters for anthropic pollution. To analyze the possibility of using caffeine as a water quality parameter, the anthropic influence over three watersheds (Atuba, Belem and Palmital) from the Greater Curitiba was observed over five sampling campaigns. The caffeine was analyzed by liquid chromatography tandem diode array detection, after the solid phase extraction. Traditional parameters of water quality monitoring, such as ammoniacal nitrogen, thermotolerant coliforms, biochemical oxygen demand and orthophosphate, were measured for comparison. The results indicate anthropic influence over the basins, probably due to the lack of infrastructure, thus leading to the assumption of untreated domestic wastewater being discharged. The most degraded river was the Belem river (caffeine concentration of 23.08 µg.L-1). Caffeine presented itself as an appropriate approach for environmental monitoring, presenting a good correlation with the traditional parameters, such as for thermotolerant coliforms (R = 0.7375).