Article
Environmental Sciences
Shengjia He, Yan Yan, Ke Yu, Xiaoping Xin, Sandra M. Guzman, Jun Lu, Zhenli He
Summary: To improve the reliability of baseflow separation in rainy regions, a self-adaptive nonlinear reservoir algorithm (SA-NRA) was developed in this study. SA-NRA showed good performance in fitting baseflow recession behaviors in a rainy watershed in eastern China. Traditional NRA and ERDF may fail to provide reliable baseflow predictions for non-pure baseflow recession periods, and more attention should be paid to the uncertainties in baseflow separation in rainy regions.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Environmental Sciences
Wondmyibza Tsegaye Bayou, Stefan Wohnlich, Mebruk Mohammed, Tenalem Ayenew
Summary: This research aims to estimate baseflow in the Sor and Gebba watershed using various hydrograph analysis techniques. The analysis showed that automated filtering techniques tend to overestimate baseflow compared to manual techniques, with below-average contribution from the underground storage aquifer to streamflow. The Baseflow Index values are proportional for both streams in the watershed, estimated at around 33%.
Review
Environmental Sciences
Taeuk Kang, Sangho Lee, Namjoo Lee, Youngkyu Jin
Summary: This study conducted sensitivity analysis and evaluation on four digital filter methods and found that the EWMA and LH methods can reliably separate the baseflow by selecting appropriate filter parameters.
Article
Environmental Sciences
Rong Gan, Mengsha Xu, Feng Yang, Qiting Zuo, Xinyu Zhang
Summary: This study investigated the suitability of baseflow separation methods and characteristics in the Yiluo River basin. The Chapman digital filter (F2) method was found to be the most stable and reliable for baseflow separation in the basin. The trend of baseflow is consistent with streamflow but opposite to the baseflow index (BFI). Some stations showed significant increasing or decreasing trends in annual baseflow. The study provides theoretical support for runoff and groundwater management in the basin.
ENVIRONMENTAL EARTH SCIENCES
(2022)
Article
Water Resources
Shengjia He, Ke Yu, Zhangxuan Tang, Yan Yan, Fangfang Zhang
Summary: This study investigated the impact of recession constants and the maximum baseflow index on the accuracy and reliability of baseflow separation. It found that baseflow estimated using daily recession constants had the highest accuracy, and the empirical value setting of the maximum baseflow index led to uncertainties in baseflow separation.
HYDROLOGICAL PROCESSES
(2022)
Article
Geosciences, Multidisciplinary
Klaus Eckhardt
Summary: Recursive digital filtering is widely used to analyze streamflow components in response to precipitation. Physically based and non-physically based algorithms are commonly used in this context. The comparison between the algorithms of Furey and Gupta (2001) and Eckhardt (2005) shows that they mostly agree, with the only differences being the time delay assumption and the combination of parameters into one parameter, BFImax.
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2023)
Article
Geosciences, Multidisciplinary
Weifei Yang, Changlai Xiao, Zhihao Zhang, Xiujuan Liang
Summary: The study examined the disagreements in baseflow separation methods and concluded that the bias in calibrating the Eckhardt method against the CMB method is due to the inclusion of different water components. The differences in baseflow sequences generated by the two methods prevent accurate calibration, but multi-component separation of stream-flow is feasible through comparison. Future research should focus on identifying the reasons for deviations between separation results obtained by different methods and exploring the hydrological information contained therein.
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2021)
Article
Environmental Sciences
Liu Zheng, Sheng Fei, Liu Shi-yu, Wang Yan-yan, Zhou Chang-ming, Gu Chao-jun
Summary: This study quantitatively analyzed the effects of precipitation, evapotranspiration, temperature, and vegetation restoration on baseflow in a small watershed in subtropical China. The results showed that precipitation was the dominant factor affecting baseflow, with different effects at seasonal and annual scales. This study demonstrates that baseflow variation is primarily attributed to climate change.
JOURNAL OF MOUNTAIN SCIENCE
(2022)
Article
Environmental Sciences
Lili Yao, A. Sankarasubramanian, Dingbao Wang
Summary: This study evaluates the impacts of climate and landscape characteristics on long-term baseflow using various indices and functions. The results show that storage capacity has a significant impact on baseflow indices, with different sensitivities in arid and humid regions, while the shape parameter plays a role in different ways in different regions.
WATER RESOURCES RESEARCH
(2021)
Article
Environmental Sciences
G. Giani, L. Tarasova, R. A. Woods, M. A. Rico-Ramirez
Summary: Traditional methodologies for rainfall-runoff event identification suffer from subjectivity and require baseflow separation and parameter adjustment. The proposed novel methodology is objective, easily transferable, and does not require subjective choices or parameter adjustment, making it applicable across different sites and temporal resolutions.
WATER RESOURCES RESEARCH
(2022)
Article
Engineering, Environmental
Caihong Hu, Dong Zhao, Shengqi Jian
Summary: This study comprehensively assessed the applicability of methods for baseflow estimation in the Yellow River Basin, with the recursive digital filtering method showing the best performance. The estimated baseflow index of typical basins in the YRB ranged from 0.354 to 0.502, with a decreasing trend in inter-annual baseflow and uneven distribution in intra-annual baseflow.
Article
Environmental Sciences
Sergey P. Pozdniakov, Ping Wang, Sergey O. Grinevsky, Natalia L. Frolova
Summary: In this study, a physically based model with a two-pass digital filter is proposed for separating groundwater runoff from streamflow time series. By performing variogram analysis, the groundwater flow recession constant and the base flow recession constant can be determined. This method can be used to quantify groundwater runoff dynamics and reveal the effects of climate change on groundwater runoff.
WATER RESOURCES RESEARCH
(2022)
Article
Environmental Sciences
Shengjia He, Jun Lu
Summary: This study utilized a recursive tracing source algorithm (RTSA) to estimate baseflow dissolved phosphorus (DP) export in a typical rainy agricultural watershed of eastern China. Results showed that baseflow DP loads had a significant impact on nutrient enrichment of surface waters, especially in intensively cultivated agricultural watersheds. The findings suggest that under the context of global climate change, controlling baseflow DP export will be a crucial issue for nonpoint source pollution management in intensive agricultural watersheds.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Environmental Sciences
Benjamin Hagedorn, Christina Meadows
Summary: This study analyzes the response of water systems to climate change in Michigan, indicating significant variability in baseflow and baseflow index in different watersheds. Long-term trends in precipitation and snow- to rainfall transitions are shown to have a significant impact on baseflow and BFI, with different effects observed in different regions.
Article
Environmental Sciences
Shujie Cheng, Lei Cheng, Pan Liu, Shujing Qin, Lu Zhang, Chong-Yu Xu, Lihua Xiong, Liu Liu, Jun Xia
Summary: Catchment baseflow is primarily controlled by aridity index and storage capacity, as shown by the proposed BFC curve which captures the spatial variability of baseflow coefficient. The analytical solution developed in this study improves predictability of baseflow at ungauged basins by understanding how aridity index and storage capacity control mean annual catchment baseflow.
WATER RESOURCES RESEARCH
(2021)
Article
Environmental Sciences
H. O. Fagundes, F. M. Fan, R. C. D. Paiva, V. A. Siqueira, D. C. Buarque, L. W. Kornowski, L. Laipelt, W. Collischonn
Summary: South America exhibits high rates of soil erosion and sediment transport, with suspended sediments playing a crucial role in ecosystem maintenance. A detailed study using a sediment model showed better agreement between simulated and observed data, with floodplains retaining a significant portion of sediment loads. The generated datasets can support large-scale research and land use management efforts.
WATER RESOURCES RESEARCH
(2021)
Article
Geosciences, Multidisciplinary
Guilherme Kruger Bartels, Nilza Maria dos Reis Castro, Gilberto Loguercio Collares, Fernando Mainardi Fan
Summary: This study evaluated the performance of five bedload equations in a mixed bedrock-alluvial stream, finding that using reduced shear stress and reduction factor of available bed material together improves prediction accuracy. The equations tended to overestimate bedload transport rate, indicating an underestimation of energy loss in mixed bedrock-alluvial channels.
Article
Engineering, Civil
A. S. Fleischmann, J. P. F. Breda, O. A. Passaia, S. C. Wongchuig, F. M. Fan, R. C. D. Paiva, G. F. Marques, W. Collischonn
Summary: This paper presents a novel approach that fully couples river-floodplain-reservoir hydrodynamic and hydrological models, significantly improving the representation of reservoir dynamics and operation at large scale. The study found that the operation schemes were more relevant than the reservoir bathymetry representation in estimating downstream flows and water levels.
JOURNAL OF HYDROLOGY
(2021)
Article
Environmental Sciences
Albert Teixeira Cardoso, Fernando Mainardi Fan
Summary: The study monitored and assessed the environmental reclamation strategy of a former degraded coal mining area in Brazil. Results showed different water qualities between upstream and downstream river points, with downstream points still affected by past mining activities. The reclaiming method was effective in three of the four ponds, while facing issues in the downstream one. Proposed hypotheses include contamination from leaching material on pond banks and contamination from upstream groundwater inflow. The results aim to guide future reclaiming strategies and monitoring perspectives.
ENVIRONMENTAL MONITORING AND ASSESSMENT
(2021)
Article
Water Resources
Mauricio Dambros Melati, Fernando Mainardi Fan, Gustavo Barbosa Athayde, Pedro Antonio Roehe Reginato, Walter Collischonn, Camila de Vasconcelos Muller Athayde
Summary: This study investigates a unique episodic recharge event in the humid subtropical climate of South America, highlighting the importance of soil moisture storage in large episodic recharge events. The results show that changes in aquifer storage caused by episodic recharge events directly impact low flows in rivers over long periods.
HYDROLOGICAL PROCESSES
(2021)
Article
Engineering, Civil
Vinicius Alencar Siqueira, Albrecht Weerts, Bastian Klein, Fernando Mainardi Fan, Rodrigo Cauduro Dias de Paiva, Walter Collischonn
Summary: Probabilistic hydrological forecasting and ensemble techniques have improved streamflow predictions up to several weeks in advance, but statistical postprocessing is necessary to reduce biases and errors in the forecasts. The study shows that using Ensemble Model Output Statistics (EMOS) leads to substantial improvements in the skill and reliability of streamflow forecasts, with sharper predictive distributions compared to climatology.
JOURNAL OF HYDROLOGY
(2021)
Article
Environmental Sciences
Ayan Santos Fleischmann, Ahmad Al Bitar, Aline Meyer Oliveira, Vinicius Alencar Siqueira, Bibiana Rodrigues Colossi, Rodrigo Cauduro Dias de Paiva, Yann Kerr, Anderson Ruhoff, Fernando Mainardi Fan, Paulo Rogenes Monteiro Pontes, Walter Collischonn
Summary: Hydrological models can be calibrated effectively by using multiple variables, such as in situ discharge and remote sensing soil moisture data, to improve accuracy and precision. In tropical humid areas, a synergistic calibration approach combining field observations and remote sensing data is preferable for providing reasonable estimates of discharge and soil moisture basin-wide.
Article
Computer Science, Interdisciplinary Applications
Thais Magalhaes Possa, Gilberto Loguercio Collares, Lukas dos Santos Boeira, Pedro Frediani Jardim, Fernando Mainardi Fan, Viviane Santos Silva Terra
Summary: The study aimed to analyze the impact of wind on the hydrodynamic processes of the largest lagoon complex in South America and demonstrated that including wind in the simulation produced better results.
JOURNAL OF HYDROINFORMATICS
(2022)
Article
Computer Science, Interdisciplinary Applications
Lizandra Broseghini Foeger, Diogo Costa Buarque, Paulo Rogenes Monteiro Pontes, Hugo de Oliveira Fagundes, Fernando Mainardi Fan
Summary: This study compares the results generated by different flow routing approaches in large-scale erosion and sediment transport models and evaluates the sediment characteristics. The simulation with the inertial approach shows similar results to other methods and has simpler preprocessing and numerical features.
ENVIRONMENTAL MODELLING & SOFTWARE
(2022)
Article
Computer Science, Interdisciplinary Applications
Marianne Brum, Fernando M. Fan, Marcio R. Salla, Marcos von Sperling
Summary: Monitoring the ecological status of water bodies is crucial for ensuring human health and economic development. However, monitoring is often insufficient in developing regions, leading to the reliance on water quality models. In this research, a probabilistic approach was used to extend a simple water quality model and applied to a case study in Brazil.
JOURNAL OF HYDROINFORMATICS
(2022)
Article
Environmental Sciences
Leandro Avila, Reinaldo Silveira, Andre Campos, Nathalli Rogiski, Jose Goncalves, Arlan Scortegagna, Camila Freita, Cassia Aver, Fernando Fan
Summary: Hydrological modeling is a valuable tool for water resources management, allowing for the representation of hydrological processes and prediction of streamflow. This study evaluates the performance of five hydrological models in representing streamflow in the Tocantins river basin in Brazil, finding that one model outperforms the others. Additionally, the limitations of lumped models for large river basins are discussed.
Article
Environmental Sciences
Leandro avila, Reinaldo Silveira, Andre Campos, Nathalli Rogiski, Camila Freitas, Cassia Aver, Fernando Fan
Summary: The assessment of seasonal streamflow forecasting is crucial for effective water resource management. This study evaluated the ECMWF-SEAS5 precipitation product and four hydrological models for seasonal streamflow forecasts in the Legal Amazon region. The HBV model provided better representation of hydrological conditions and the SMAP model achieved higher performance for raw forecasts. Bias correction greatly improved the accuracy of forecasts for all models, particularly during dry periods.
Article
Environmental Sciences
Arthur Kolling Neto, Vinicius Alencar Siqueira, Cleber Henrique de Araujo Gama, Rodrigo Cauduro Dias de Paiva, Fernando Mainardi Fan, Walter Collischonn, Reinaldo Silveira, Cassia Silmara Aver Paranhos, Camila Freitas
Summary: This study evaluates the accuracy of medium-range weekly streamflow forecasts for 147 large Brazilian hydropower plants and compares them with operational forecasts issued by the National Electric System Operator. The study finds that simple corrections on continental-scale hydrological models can result in competitive forecasts even for regional-scale applications.
Article
Water Resources
Maria Eduarda Pereira Alves, Fernando Mainardi Fan, Rodrigo Cauduro Dias de Paiva, Vinicius Alencar Siqueira, Ayan Santos Fleischmann, Joao Paulo Breda, Leonardo Laipelt, Alexandre Abdalla Araujo
Summary: Mapping flood risk areas is crucial for disaster management. This study evaluated the ability of large-scale models to obtain flood hazard maps and compared them with estimates developed by the Brazilian Geological Survey. The results showed that large-scale models have greater coverage and lower cost in mapping flood areas, with high compatibility with CPRM maps.
RBRH-REVISTA BRASILEIRA DE RECURSOS HIDRICOS
(2022)
Article
Water Resources
Fernando Mainardi Fan, Vinicius Alencar Siqueira, Ayan Santos Fleischmann, Joao Paulo Fialho Breda, Rodrigo Cauduro Dias de Paiva, Paulo Rogenes Monteiro Pontes, Walter Collischonn
Summary: The discretization of river networks is crucial for computing flow routing in hydrological models. This study assesses the impacts of river discretization on simulated discharge, water levels, and numerical stability of a catchment-based hydrologic-hydrodynamic model. Results show that water levels are more influenced by the selection of Delta x, and careful choices must be made for parameters to avoid mass balance errors. Additionally, a flow limiter based on the Froude number is proposed to prevent numerical issues.
RBRH-REVISTA BRASILEIRA DE RECURSOS HIDRICOS
(2021)
