A Study to Suggest Monthly Baseflow Estimation Approach for the Long-Term Hydrologic Impact Analysis Models: A Case Study in South Korea

Lee, Hanyong; Choi, Hyun Seok; Chae, Min-Suh; Park, Youn Shik

doi:10.3390/w13152043

Cited by 4 publications

(4 citation statements)

References 27 publications

(33 reference statements)

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“…The sustained use of this model, mainly in the simulations for direct runoff according to land use and rainfall pattern variations, is because of the simplicity of the model; only input data for determining the CN are required, and the calculation process is simple. Lee et al [21] stated that the actual streamflow and estimated results from this L-THIA model must be comparable to improve the applicability of the model. This simplicity must be retained throughout the improvement process.…”

Section: Baseflow Calculationmentioning

confidence: 99%

“…This simplicity must be retained throughout the improvement process. Twenty watersheds ranging from 5695 ha to 155,806 ha were thus selected, and the rainfall (P i , mm) of the i th month, total urban area (A URBN , ha), area under agriculture (A AGRL , ha), area of forest cover (A FRST , ha), area used for pasture (A PAST , ha), area of wetland cover (A WTDL , ha), area of bare land (A BARE , ha), water area (A WATR , ha), and coefficients for each land use area were used to propose a method for estimating the baseflow (m 3 ) of the i th month (Equation ( 7)) [21].…”

Section: Baseflow Calculationmentioning

confidence: 99%

“…This study developed an L-THIA model that estimates seasonal variations in streamflow using a monthly baseflow estimation method [21], which can be applied to the recently proposed L-THIA model using land use maps, hydrological soil group maps, and rainfall data measured from multiple sources.…”

Section: Introductionmentioning

confidence: 99%

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Development and Application of a QGIS-Based Model to Estimate Monthly Streamflow

Lee

Chae

Park

et al. 2022

IJGI

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Changes in rainfall pattern and land use have caused considerable impacts on the hydrological behavior of watersheds; a Long-Term Hydrologic Impact Analysis (L-THIA) model has been used to simulate such variations. The L-THIA model defines curve number according to the land use and hydrological soil group before calculating the direct runoff based on the amount of rainfall, making it a convenient method of analysis. Recently, a method was proposed to estimate baseflow using this model, which may be used to estimate the overall streamflow. Given that this model considers the spatial distribution of land use and hydrological soil groups and must use rainfall data at multiple positions, it requires the usage of a geographical information system (GIS). Therefore, a model that estimates streamflow using land use maps, hydrologic soil group maps, and rain gauge station maps in QGIS, a popular GIS software, was developed. This model was tested in 15 watersheds.

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Section: Baseflow Calculationmentioning

confidence: 99%

Section: Baseflow Calculationmentioning

confidence: 99%

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Development and Application of a QGIS-Based Model to Estimate Monthly Streamflow

Lee

Chae

Park

et al. 2022

IJGI

Self Cite

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“…In many cases, models can only sufficiently simulate what is already known [23]. For these reasons, various works have attempted to propose simple and easy-to-apply methods to estimate some components of watershed hydrology [24][25][26].…”

Section: Recent Developmentsmentioning

confidence: 99%

A Rapid Method to Estimate the Different Components of the Water Balance in Mediterranean Watersheds

Banton

St-Pierre

Giraud

et al. 2022

Water

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The sustainable management of water resources, whether surface or underground, requires the identification of the flows involved and the possibility of achieving the water balance of the water resource. These require knowledge of the main flow components with a sufficient level of accuracy. Hydrological simulation models are valuable tools for studying flow at the watershed scale but rely on data that are rarely available; therefore, they require the implementation of field investigations. There is thus a need for simple and practical tools for studying the functioning of a watershed and identifying the different components of the flows. In this paper, a method that uses only weather data, volumes of water abstraction by pumping or diversion, and flows measured at the outlet is proposed. The use of cumulative multi-year curves of measured flows or rainfall provides an assessment of the unknown flows that can take place in the watershed, as well as the order of the respective magnitudes of fast and slow flows. Its application to 20 French Mediterranean watersheds shows that it is possible to properly estimate the order of magnitude of losses or gains linked to karst flows and irrigation input. External inflows or outflows can represent up to 150% of the flow measured at the outlet. The annual volumes estimated by using this method are indeed very close (R2 = 93%) to those provided by existing knowledge. The proposed method can constitute a first approach for the quantification of flows and help to guide the implementation of field investigations and more sophisticated approaches such as hydrological modelling.

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Integrating Hydrokinetic Energy into Hybrid Renewable Energy System: Optimal Design and Comparative Analysis

Ileberi

2023

Energies

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Renewable energy resources and energy efficiency measures are effective means of curtailing CO2 emissions. Solar and wind technologies have been mostly developed to meet the energy demand of off-grid remote areas or locations without grid connections. However, it is well-known that the power generation of these resources is affected by daily fluctuations and seasonal variability. One way to mitigate such an effect is to incorporate hydrokinetic resources into the energy system, which has not been well investigated yet. Therefore, this study examines the prospects of designing a hybrid system that integrates hydrokinetic energy to electrify an off-grid area. Hydrokinetic energy generation depends on water flow velocity (WFV). We estimate WFV by a model-based approach with geographical and weather data as inputs. Together with the models of the other components (wind turbine, PV panel, battery, and diesel generator) in the micro-grid, an optimization problem is formulated with the total net present cost and the cost of energy as performance criteria. A genetic algorithm (GA) is used to solve this problem for determining an optimal system configuration. Applying our approach to a small community in Nigeria, our findings show that the flow velocity of a nearby river ranges between 0.017 and 5.12 m/s, with a mean velocity of 0.71 m/s. The resulting optimal micro-grid consists of 320 kW of PV, 120 units of 6.91 kWh batteries, 2 (27 kW) hydrokinetic turbines, an 120 kW converter, zero wind turbines, and a 100 kW diesel generator. As a result, the total energy generated will be 471,743 kWh/year, of which 12% emanates from hydrokinetic energy. The total net present cost, the cost of energy, and the capital cost are USD 1,103,668, 0.2841 USD/kWh, and USD 573,320, respectively.

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A Study to Suggest Monthly Baseflow Estimation Approach for the Long-Term Hydrologic Impact Analysis Models: A Case Study in South Korea

Cited by 4 publications

References 27 publications

Development and Application of a QGIS-Based Model to Estimate Monthly Streamflow

Development and Application of a QGIS-Based Model to Estimate Monthly Streamflow

A Rapid Method to Estimate the Different Components of the Water Balance in Mediterranean Watersheds

Integrating Hydrokinetic Energy into Hybrid Renewable Energy System: Optimal Design and Comparative Analysis

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