Pub Date : 2023-06-05DOI: 10.1590/2318-0331.282320220107
C. B. Martinez, A. Saliba, Edna M. de F. Viana, J. L. Z. Tarqui, E. D. Teixeira, Mary Elma Ferreira Costa, Adriano Silva Bastos
ABSTRACT The study of the interaction between hydraulic structures in mobile bed river systems is complex because it involves sediment transport and dynamic changes in the boundary conditions, requiring the use of physical models. This article presents the procedure for the design and construction of a physical model of the reservoir and dam of the Small Hydroelectric Power Plant (SHPP) of Salto Paraopeba. In the design phase, computational modelling of sediment transport was used to reconstitute the primitive geometry of the river, and simulations of the flow regime and the transport capacity along the course of the river were also carried out; both results allowed to delimit the model extension. Considering the choice of scale and the similarity criteria between the model and the prototype, the use of a new alternative material was proposed, composed of crushed tire rubber particles, with a lower specific mass and a larger diameter than the prototype's sediment. In the construction phase, a new constructive method of the physical model was applied using fiberglass, the method presents constructive advantages, such as better representation of the morphology, lower weight, simple installation and uninstallation through modules, and simple and fast repairs, among others.
{"title":"Proposal to use new methods of design and construction in mobile riverbed physical models: the Salto do Paraopeba dam case","authors":"C. B. Martinez, A. Saliba, Edna M. de F. Viana, J. L. Z. Tarqui, E. D. Teixeira, Mary Elma Ferreira Costa, Adriano Silva Bastos","doi":"10.1590/2318-0331.282320220107","DOIUrl":"https://doi.org/10.1590/2318-0331.282320220107","url":null,"abstract":"ABSTRACT The study of the interaction between hydraulic structures in mobile bed river systems is complex because it involves sediment transport and dynamic changes in the boundary conditions, requiring the use of physical models. This article presents the procedure for the design and construction of a physical model of the reservoir and dam of the Small Hydroelectric Power Plant (SHPP) of Salto Paraopeba. In the design phase, computational modelling of sediment transport was used to reconstitute the primitive geometry of the river, and simulations of the flow regime and the transport capacity along the course of the river were also carried out; both results allowed to delimit the model extension. Considering the choice of scale and the similarity criteria between the model and the prototype, the use of a new alternative material was proposed, composed of crushed tire rubber particles, with a lower specific mass and a larger diameter than the prototype's sediment. In the construction phase, a new constructive method of the physical model was applied using fiberglass, the method presents constructive advantages, such as better representation of the morphology, lower weight, simple installation and uninstallation through modules, and simple and fast repairs, among others.","PeriodicalId":54151,"journal":{"name":"RBRH-Revista Brasileira de Recursos Hidricos","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2023-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89838147","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 : 2023-05-26DOI: 10.1590/2318-0331.282320230008
Juan Sebastián Del Castillo-Gómez, T. Canchala, W. A. Torres-López, Y. Carvajal-Escobar, Camilo Ocampo-Marulanda
ABSTRACT Historical rainfall records are relevant in hydrometeorological studies because they provide information on the spatial features, frequency, and amount of precipitated water in a specific place, therefore, it is essential to make an adequate estimation of missing data. This study evaluated four methods for estimating missing monthly rainfall data at 46-gauge stations in southwestern Colombia covering 1983-2019. The performance of the Normal Ratio (NR), Principal Components Regression (PCR), Principal Least Square Regression (PLSR), and Artificial Neural Networks (ANN) methods were compared using three standardized error metrics: Root Mean Square Error (RMSE), Percent BIAS (PBIAS), and Mean Absolute Error (MAE). The results generally showed a better performance of the nonlinear ANN method. Regarding the linear methods, the best performance was registered by the PLSR, followed by the PCR. The results suggest the applicability of the ANN method in regions with a low density of stations and a high percentage of missing data, such as southwestern Colombia.
{"title":"Estimation of monthly rainfall missing data in Southwestern Colombia: comparing different methods","authors":"Juan Sebastián Del Castillo-Gómez, T. Canchala, W. A. Torres-López, Y. Carvajal-Escobar, Camilo Ocampo-Marulanda","doi":"10.1590/2318-0331.282320230008","DOIUrl":"https://doi.org/10.1590/2318-0331.282320230008","url":null,"abstract":"ABSTRACT Historical rainfall records are relevant in hydrometeorological studies because they provide information on the spatial features, frequency, and amount of precipitated water in a specific place, therefore, it is essential to make an adequate estimation of missing data. This study evaluated four methods for estimating missing monthly rainfall data at 46-gauge stations in southwestern Colombia covering 1983-2019. The performance of the Normal Ratio (NR), Principal Components Regression (PCR), Principal Least Square Regression (PLSR), and Artificial Neural Networks (ANN) methods were compared using three standardized error metrics: Root Mean Square Error (RMSE), Percent BIAS (PBIAS), and Mean Absolute Error (MAE). The results generally showed a better performance of the nonlinear ANN method. Regarding the linear methods, the best performance was registered by the PLSR, followed by the PCR. The results suggest the applicability of the ANN method in regions with a low density of stations and a high percentage of missing data, such as southwestern Colombia.","PeriodicalId":54151,"journal":{"name":"RBRH-Revista Brasileira de Recursos Hidricos","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86908318","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 : 2023-05-22DOI: 10.1590/2318-0331.282320230003
I. L. Lima Neto
ABSTRACT This study applies a 2-D hydrodynamic model (CE-QUAL-W2) for simulating water quality dynamics in a tropical reservoir located in Fortaleza, Ceará, Brazil. While rainfall concentrates basically in the first semester, this reservoir receives untreated sewage from an urban catchment throughout the year. To deal with data scarcity, model simplifications are justified and several adjustments are carried out, so that only the parameters temperature (T), dissolved oxygen (DO), chlorophyll a (Chla) and phosphate (PO4) are kept in the modeling process. Additionally, different assumptions are performed regarding the time-evolution of reservoir inlet concentrations: constant values, step and linear variations. The results indicate that the simplified model can predict well the seasonal variations of T, DO, Chla and PO4. The best fitting between model results and measurements are obtained with the assumption of linear variation in inlet concentrations, followed by the assumptions of constant values and step variation. Moreover, the results reveal that while PO4 presents a complete mixing behavior with a clear increase in concentration from the wet to the dry season, T, DO and Chla show an alternating stratification-destratification patter during the day-night but without relevant variations throughout the year. Model simulations of different scenarios also indicate a significant reduction in Chla concentration in the second semester, but external load reduction has a stronger impact on model outputs than hydroclimatic variability. The modeling approach developed in the present study is proposed as a simple way to cope with data scarcity, urban pollution and hydroclimatic seasonality in tropical reservoirs.
{"title":"Modeling water quality in a tropical reservoir using CE-QUAL-W2: handling data scarcity, urban pollution and hydroclimatic seasonality","authors":"I. L. Lima Neto","doi":"10.1590/2318-0331.282320230003","DOIUrl":"https://doi.org/10.1590/2318-0331.282320230003","url":null,"abstract":"ABSTRACT This study applies a 2-D hydrodynamic model (CE-QUAL-W2) for simulating water quality dynamics in a tropical reservoir located in Fortaleza, Ceará, Brazil. While rainfall concentrates basically in the first semester, this reservoir receives untreated sewage from an urban catchment throughout the year. To deal with data scarcity, model simplifications are justified and several adjustments are carried out, so that only the parameters temperature (T), dissolved oxygen (DO), chlorophyll a (Chla) and phosphate (PO4) are kept in the modeling process. Additionally, different assumptions are performed regarding the time-evolution of reservoir inlet concentrations: constant values, step and linear variations. The results indicate that the simplified model can predict well the seasonal variations of T, DO, Chla and PO4. The best fitting between model results and measurements are obtained with the assumption of linear variation in inlet concentrations, followed by the assumptions of constant values and step variation. Moreover, the results reveal that while PO4 presents a complete mixing behavior with a clear increase in concentration from the wet to the dry season, T, DO and Chla show an alternating stratification-destratification patter during the day-night but without relevant variations throughout the year. Model simulations of different scenarios also indicate a significant reduction in Chla concentration in the second semester, but external load reduction has a stronger impact on model outputs than hydroclimatic variability. The modeling approach developed in the present study is proposed as a simple way to cope with data scarcity, urban pollution and hydroclimatic seasonality in tropical reservoirs.","PeriodicalId":54151,"journal":{"name":"RBRH-Revista Brasileira de Recursos Hidricos","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2023-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88408594","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 : 2023-05-22DOI: 10.1590/2318-0331.282320220118
L. Peixoto, Bárbara Alves de Lima, Camila de Carvalho Almeida, C. Fernandes, J. Centeno, J. C. D. Azevedo
ABSTRACT The constant monitoring of water quality is fundamental for the understanding of the aquatic environment, yet it demands great financial investments and is susceptible to inconsistencies and missing values. Using a database composed of 59 sampling campaigns, performed for 12 years, on 10 monitoring stations along the Iguassu River Basin (Southern Brazil), this study presents a model, based on feed-forward neural networks, which imputed 1,370 values for 11 traditional water quality parameters, as well as 3 contaminants of emerging concern (caffeine, estradiol and ethinylestradiol). The model validation errors varied from 0.978 mg L-1 and 0.017 mg L-1 for the traditional parameters, for caffeine the validation error was of 0.212 µg L-1 and for the hormones, the errors were of 0.04 µg L-1 (E1) and 0.044 µg L-1 (EE1). The models underwent two techniques to understand the operations performed within the model (isolation and nullification), which were consistent to those explained by natural processes. The results point to the validity of modeling water quality parameters (especially the concentrations of caffeine) through neural networks, which could lead to better resource allocation in environmental monitoring, as well as improving available datasets and valuing previous monitoring efforts.
{"title":"Data imputation of water quality parameters through feed-forward neural networks","authors":"L. Peixoto, Bárbara Alves de Lima, Camila de Carvalho Almeida, C. Fernandes, J. Centeno, J. C. D. Azevedo","doi":"10.1590/2318-0331.282320220118","DOIUrl":"https://doi.org/10.1590/2318-0331.282320220118","url":null,"abstract":"ABSTRACT The constant monitoring of water quality is fundamental for the understanding of the aquatic environment, yet it demands great financial investments and is susceptible to inconsistencies and missing values. Using a database composed of 59 sampling campaigns, performed for 12 years, on 10 monitoring stations along the Iguassu River Basin (Southern Brazil), this study presents a model, based on feed-forward neural networks, which imputed 1,370 values for 11 traditional water quality parameters, as well as 3 contaminants of emerging concern (caffeine, estradiol and ethinylestradiol). The model validation errors varied from 0.978 mg L-1 and 0.017 mg L-1 for the traditional parameters, for caffeine the validation error was of 0.212 µg L-1 and for the hormones, the errors were of 0.04 µg L-1 (E1) and 0.044 µg L-1 (EE1). The models underwent two techniques to understand the operations performed within the model (isolation and nullification), which were consistent to those explained by natural processes. The results point to the validity of modeling water quality parameters (especially the concentrations of caffeine) through neural networks, which could lead to better resource allocation in environmental monitoring, as well as improving available datasets and valuing previous monitoring efforts.","PeriodicalId":54151,"journal":{"name":"RBRH-Revista Brasileira de Recursos Hidricos","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2023-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85461235","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 : 2023-05-22DOI: 10.1590/2318-0331.282320220113
G. Penner, Rubens Takeji Aoki Araujo Martins, Salim Rodrigues, E. Wendland
ABSTRACT For sustainable groundwater management the rate of groundwater recharge and specific yield are both of the most important elements in the analysis and management of groundwater resources, and, sometimes, estimation of these parameters remains a challenge. This research presents a combining approach of the water-table fluctuation method (WTF) with an aquifer test to estimate both and quantify their uncertainty. The methodology requires at least three wells: two instrumented observation wells with a level sensor for long-term monitoring and a pump well located nearby for aquifer testing. The test interpretation was supported by the Aqtsolv Demo software obtaining the best fit with the method proposed by Tartakovsky-Neuman, with a specific yield varying, in 2σ, between 9.4% and 10.6%. Recharge was estimated with WTF, and the uncertainty in recharge is obtained by propagating the uncertainties about the specific yield (Bayesian inference) and the groundwater recession dynamics to the WTF. The uncertainty about recharge stems from uncertainty about the specific yield. The approach was applied on the campus of the Federal University of Pará, Belém, Brazil. Recharge was estimated at 1078.9 mm, from 03/sep/2020 to 30/sep/2021, with an associated uncertainty of 129.5 mm in 2σ, which equates to a range between 33.9 and 39.8% in terms of precipitation. Through the use of cost-effective instrumentation and interpretation methodology, replication of that approach can be encouraged to provide reliable estimates of recharge and specific yield in a site specific. Such condition can be useful to reduce the predictive uncertainty of groundwater management.
{"title":"Uncertainty in groundwater recharge estimation using groundwater level fluctuation and aquifer test","authors":"G. Penner, Rubens Takeji Aoki Araujo Martins, Salim Rodrigues, E. Wendland","doi":"10.1590/2318-0331.282320220113","DOIUrl":"https://doi.org/10.1590/2318-0331.282320220113","url":null,"abstract":"ABSTRACT For sustainable groundwater management the rate of groundwater recharge and specific yield are both of the most important elements in the analysis and management of groundwater resources, and, sometimes, estimation of these parameters remains a challenge. This research presents a combining approach of the water-table fluctuation method (WTF) with an aquifer test to estimate both and quantify their uncertainty. The methodology requires at least three wells: two instrumented observation wells with a level sensor for long-term monitoring and a pump well located nearby for aquifer testing. The test interpretation was supported by the Aqtsolv Demo software obtaining the best fit with the method proposed by Tartakovsky-Neuman, with a specific yield varying, in 2σ, between 9.4% and 10.6%. Recharge was estimated with WTF, and the uncertainty in recharge is obtained by propagating the uncertainties about the specific yield (Bayesian inference) and the groundwater recession dynamics to the WTF. The uncertainty about recharge stems from uncertainty about the specific yield. The approach was applied on the campus of the Federal University of Pará, Belém, Brazil. Recharge was estimated at 1078.9 mm, from 03/sep/2020 to 30/sep/2021, with an associated uncertainty of 129.5 mm in 2σ, which equates to a range between 33.9 and 39.8% in terms of precipitation. Through the use of cost-effective instrumentation and interpretation methodology, replication of that approach can be encouraged to provide reliable estimates of recharge and specific yield in a site specific. Such condition can be useful to reduce the predictive uncertainty of groundwater management.","PeriodicalId":54151,"journal":{"name":"RBRH-Revista Brasileira de Recursos Hidricos","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2023-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86299726","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 : 2023-05-22DOI: 10.1590/2318-0331.282320220106
Gustavo Gabbardo dos Reis, R. Paiva, J. P. Brêda, V. Siqueira
ABSTRACT Due to the frequent occurrence of extreme hydrological events in the South American rivers, this work aims to develop a hydrological monitoring platform open to the public, with a wide and intuitive access, using resources of an online geographic information system, in order to contribute to a better understanding of the behavior of these natural disasters. SARDIM (South America River DIscharge Monitor) has been developed using programming resources in languages such as Python and JavaScript. The data of the platform are derived from results of a continental scale hydrological simulation model (MGB - South America) that uses, among other information, precipitation data from the GPM (Global Precipitation Measurement) mission and from the MSWEP (Multi-Source Weighted Ensemble Precipitation) product. After a statistical analysis of the model results, the platform is updated daily and operationally, with new data on the flow duration and the return period of river flows, allowing the identification, monitoring and evaluation of the intensity of extreme hydrological events in South America.
{"title":"SARDIM: a real-time hydrological monitoring platform of South American rivers","authors":"Gustavo Gabbardo dos Reis, R. Paiva, J. P. Brêda, V. Siqueira","doi":"10.1590/2318-0331.282320220106","DOIUrl":"https://doi.org/10.1590/2318-0331.282320220106","url":null,"abstract":"ABSTRACT Due to the frequent occurrence of extreme hydrological events in the South American rivers, this work aims to develop a hydrological monitoring platform open to the public, with a wide and intuitive access, using resources of an online geographic information system, in order to contribute to a better understanding of the behavior of these natural disasters. SARDIM (South America River DIscharge Monitor) has been developed using programming resources in languages such as Python and JavaScript. The data of the platform are derived from results of a continental scale hydrological simulation model (MGB - South America) that uses, among other information, precipitation data from the GPM (Global Precipitation Measurement) mission and from the MSWEP (Multi-Source Weighted Ensemble Precipitation) product. After a statistical analysis of the model results, the platform is updated daily and operationally, with new data on the flow duration and the return period of river flows, allowing the identification, monitoring and evaluation of the intensity of extreme hydrological events in South America.","PeriodicalId":54151,"journal":{"name":"RBRH-Revista Brasileira de Recursos Hidricos","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2023-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82490660","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 : 2023-05-08DOI: 10.1590/2318-0331.282320220103
David Antonio Jimenez Osorio, G. Lima, B. Brentan
ABSTRACT Water distribution networks (WDNs) are designed to operate over a long period, however, it is expected that their capacity reduces over time. The large set of options that can be applied to improve their capacity, combined with their hydraulic complexity and the search for the most economical solution create a difficult problem to solve. Therefore, in this paper the hydraulic and economic benefits of three rehabilitation strategies: pipes cleaning, pipe replacement and leakage fixing. were evaluated individually first and then combined into two case studies, through a cost minimization using the PSO algorithm. Initially, the relation between the investment and the reduction in pressure deficit is analyzed for each alternative to identify the best strategy, and at which point the benefits are saturated. Then, an optimization considering the combination of the three intervention techniques is made to verify if there is a prioritization of any technique, and if it is related with the individual performance. in economic and hydraulic terms pipe replacement was the best intervention technique, followed by pipe cleaning and leak repair. For substitution, few interventions are sufficient to significantly improve the pressure. Moreover, it was observed that in the intervention - combined, the algorithm prioritizes joint solutions.
{"title":"Hydraulic and economic analysis for rehabilitation of water distribution networks using pipes cleaning and replacement and leakage fixing","authors":"David Antonio Jimenez Osorio, G. Lima, B. Brentan","doi":"10.1590/2318-0331.282320220103","DOIUrl":"https://doi.org/10.1590/2318-0331.282320220103","url":null,"abstract":"ABSTRACT Water distribution networks (WDNs) are designed to operate over a long period, however, it is expected that their capacity reduces over time. The large set of options that can be applied to improve their capacity, combined with their hydraulic complexity and the search for the most economical solution create a difficult problem to solve. Therefore, in this paper the hydraulic and economic benefits of three rehabilitation strategies: pipes cleaning, pipe replacement and leakage fixing. were evaluated individually first and then combined into two case studies, through a cost minimization using the PSO algorithm. Initially, the relation between the investment and the reduction in pressure deficit is analyzed for each alternative to identify the best strategy, and at which point the benefits are saturated. Then, an optimization considering the combination of the three intervention techniques is made to verify if there is a prioritization of any technique, and if it is related with the individual performance. in economic and hydraulic terms pipe replacement was the best intervention technique, followed by pipe cleaning and leak repair. For substitution, few interventions are sufficient to significantly improve the pressure. Moreover, it was observed that in the intervention - combined, the algorithm prioritizes joint solutions.","PeriodicalId":54151,"journal":{"name":"RBRH-Revista Brasileira de Recursos Hidricos","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80510343","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 : 2023-05-08DOI: 10.1590/2318-0331.282320220108
Franklin Canchari, J. Iannacone
ABSTRACT Microplastics (MPs) are present in surface sediments deposited on city streets as a result of stormwater runoff. The objective of this study was to determine the abundance and characteristics of MPs in surface sediments deposited by stormwater runoff from the village of Madeán in the Peruvian Andes based on size, shape, and color. Surface sediment samples were collected in triplicate at each of the eight sample sites. The sediments were deposited in some parts of the streets of this village due to the effect of rainwater runoff. The separation of MPs from the sediment was carried out in the laboratory by the density separation method with NaCl solution. The eight sampling sites in Madeán presented 292.91 ± 149.32 (MP Items/Kg of sediment) of MPs, showing significant differences in the abundance of MPs among the different sampling sites. The predominant characteristics of the MPs were small size (SMP) (50.95%) and large size MPs (LMP) (49.05%), being fiber (60.66%) and fragmented (38.39%) in morphology, and blue (29.86%), black (25.59%), and red (23.22%) in color, respectively. The following investigation suggests that solid waste is not being adequately managed by finding the presence of MPs in the sediments that are in the street ditches.
{"title":"Microplastics in sediments deposited by rainwater runoff in a populated center in the Peruvian Andes","authors":"Franklin Canchari, J. Iannacone","doi":"10.1590/2318-0331.282320220108","DOIUrl":"https://doi.org/10.1590/2318-0331.282320220108","url":null,"abstract":"ABSTRACT Microplastics (MPs) are present in surface sediments deposited on city streets as a result of stormwater runoff. The objective of this study was to determine the abundance and characteristics of MPs in surface sediments deposited by stormwater runoff from the village of Madeán in the Peruvian Andes based on size, shape, and color. Surface sediment samples were collected in triplicate at each of the eight sample sites. The sediments were deposited in some parts of the streets of this village due to the effect of rainwater runoff. The separation of MPs from the sediment was carried out in the laboratory by the density separation method with NaCl solution. The eight sampling sites in Madeán presented 292.91 ± 149.32 (MP Items/Kg of sediment) of MPs, showing significant differences in the abundance of MPs among the different sampling sites. The predominant characteristics of the MPs were small size (SMP) (50.95%) and large size MPs (LMP) (49.05%), being fiber (60.66%) and fragmented (38.39%) in morphology, and blue (29.86%), black (25.59%), and red (23.22%) in color, respectively. The following investigation suggests that solid waste is not being adequately managed by finding the presence of MPs in the sediments that are in the street ditches.","PeriodicalId":54151,"journal":{"name":"RBRH-Revista Brasileira de Recursos Hidricos","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91258022","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 : 2023-04-17DOI: 10.1590/2318-0331.282320220097
C. B. Caballero, H. A. S. Guedes, Rosiméri da Silva Fraga, K. G. Mendes, Elisandra Hernandes da Fonseca, V. Martins, Morgana dos Santos Mensch
ABSTRACT Ensuring prompt and effective water quality monitoring is increasingly important. Remote sensing has been shown to be an effective tool for simplifying and speeding up this process. The aim of this study is to develop an empirical model to map the spatial and temporal dynamics of turbidity in Mirim Lagoon, located in southern Brazil. To achieve this, Sentinel-2A/B MSI sensor data were combined with turbidity data collected in situ. The model was applied to monthly images (with cloud cover ≤ 20%) in 2019 and 2020 using the Google Earth Engine (GEE) platform. Mean turbidity values in the lagoon did not vary significantly, remaining between 30 and 75 NTU overall. However, there were differences in turbidity levels between the northern and southern regions of the lagoon in some months of the investigated years. By applying this methodology and analyzing the results, we were able to better understand the behavior of turbidity throughout the lagoon and gain insights into the quality of this important freshwater source.
{"title":"Predictive model for monitoring water turbidity in a subtropical lagoon using Sentinel-2A/B MSI images","authors":"C. B. Caballero, H. A. S. Guedes, Rosiméri da Silva Fraga, K. G. Mendes, Elisandra Hernandes da Fonseca, V. Martins, Morgana dos Santos Mensch","doi":"10.1590/2318-0331.282320220097","DOIUrl":"https://doi.org/10.1590/2318-0331.282320220097","url":null,"abstract":"ABSTRACT Ensuring prompt and effective water quality monitoring is increasingly important. Remote sensing has been shown to be an effective tool for simplifying and speeding up this process. The aim of this study is to develop an empirical model to map the spatial and temporal dynamics of turbidity in Mirim Lagoon, located in southern Brazil. To achieve this, Sentinel-2A/B MSI sensor data were combined with turbidity data collected in situ. The model was applied to monthly images (with cloud cover ≤ 20%) in 2019 and 2020 using the Google Earth Engine (GEE) platform. Mean turbidity values in the lagoon did not vary significantly, remaining between 30 and 75 NTU overall. However, there were differences in turbidity levels between the northern and southern regions of the lagoon in some months of the investigated years. By applying this methodology and analyzing the results, we were able to better understand the behavior of turbidity throughout the lagoon and gain insights into the quality of this important freshwater source.","PeriodicalId":54151,"journal":{"name":"RBRH-Revista Brasileira de Recursos Hidricos","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80091018","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 : 2023-04-14DOI: 10.1590/2318-0331.282320220088
R. B. Rossoni, F. Fan
ABSTRACT The lack of observed data and calibration strategies, scale variability, and difficulties in representing heterogeneity of sediment-processes contribute to the usual challenges in achieving satisfactory results in hydro-sedimentological modeling, particularly when using the MUSLE equation for large-scale applications. As a consequence, we investigated five major topics: (1) a sediment-process-based parameterization technique (Hydro-sedimentological Response Unit map - HRUSed); (2) the quality of hydrological modeling with different process-focused parameterizations; (3) a calibration strategy based on the sediment discretization approach for hydro-sedimentological modeling; (4) the use of suspended sediment concentration (SSC) versus suspended sediment discharge (SSD) data for calibration; and (5) trade-offs between increasing the spatial resolution of a large-scale model and using the proposed HRUSed discretization. The current study demonstrated (1) the HRUSed map for South America and (2) a similar performance of large-scale hydrological modeling using a hydrological or hydro-sedimentological discretization approach. (3) The HRUSed discretization approach produced better hydro-sedimentological modeling results. (4) We improved the model’s performance for HRUSed (SSC and SSD results) and for HRU (Hydrological Response Unit map) only for SSD results. (5) Only more detailed spatial discretization has failed to improve process representation. However, increased spatial discretization with a process-parameterization approach focused on hydro-sedimentological dynamics improved model performance.
{"title":"Discretization approach for large-scale sediment modeling: calibration strategies based on hydro-sediment variability at a range of spatial scales","authors":"R. B. Rossoni, F. Fan","doi":"10.1590/2318-0331.282320220088","DOIUrl":"https://doi.org/10.1590/2318-0331.282320220088","url":null,"abstract":"ABSTRACT The lack of observed data and calibration strategies, scale variability, and difficulties in representing heterogeneity of sediment-processes contribute to the usual challenges in achieving satisfactory results in hydro-sedimentological modeling, particularly when using the MUSLE equation for large-scale applications. As a consequence, we investigated five major topics: (1) a sediment-process-based parameterization technique (Hydro-sedimentological Response Unit map - HRUSed); (2) the quality of hydrological modeling with different process-focused parameterizations; (3) a calibration strategy based on the sediment discretization approach for hydro-sedimentological modeling; (4) the use of suspended sediment concentration (SSC) versus suspended sediment discharge (SSD) data for calibration; and (5) trade-offs between increasing the spatial resolution of a large-scale model and using the proposed HRUSed discretization. The current study demonstrated (1) the HRUSed map for South America and (2) a similar performance of large-scale hydrological modeling using a hydrological or hydro-sedimentological discretization approach. (3) The HRUSed discretization approach produced better hydro-sedimentological modeling results. (4) We improved the model’s performance for HRUSed (SSC and SSD results) and for HRU (Hydrological Response Unit map) only for SSD results. (5) Only more detailed spatial discretization has failed to improve process representation. However, increased spatial discretization with a process-parameterization approach focused on hydro-sedimentological dynamics improved model performance.","PeriodicalId":54151,"journal":{"name":"RBRH-Revista Brasileira de Recursos Hidricos","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2023-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86050866","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：