Estimation of runoff coefficient through impervious covers analysis using long-term outflow simulation

김영란,; 황성환,

doi:10.11001/jksww.2014.28.6.635

Cited by 2 publications

(2 citation statements)

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“…It was assessed as an extremely high runoff coefficient compared to the 0.05-0.10 of grass plains (sandy soil, 2% slope)-a coefficient used in the rational formula evaluation model proposed by Mulvaney in a study related to a typical runoff coefficient [96]. Moreover, although brick blocks had a coefficient of 0.70-0.85 in previous studies, this study proposes that the runoff coefficient must be continuously studied for comparison through additional experiments because brick blocks were found to have a coefficient of 0.963 in this study [102][103][104][105][106]. By using the following experimental method, the runoff coefficient's calculation can generate data that complement the drawbacks of previous studies, where differences occur in calculating the runoff coefficient due to the user's subjectivity [107].…”

Section: Calculating the Runoff Coefficient According To The Land Cov...mentioning

confidence: 87%

Evaluation and Improvement Measures of the Runoff Coefficient of Urban Parks for Sustainable Water Balance

Son

Kwon

2022

Land

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As the impermeable sidewalk area increases in urban areas, diverse problems related to water occur. The purposes of this research were to increase the rainwater infiltration rate through water balance analysis and estimate the runoff coefficient according to land cover types in urban parks. The regression equations and runoff coefficients relative to the rainwater infiltration rate were estimated according to the land cover types and applied to eight urban parks. In the results of the experiment, the runoff coefficient was 0.245 for vegetation areas, 0.583 for permeable sidewalks, 0.963 for sidewalk blocks, and 1.000 for impervious sidewalks, which had 100% outflow. The results show that the vegetation area in urban parks is significantly related to rainfall–runoff, infiltration, and evapotranspiration. The average of eight urban parks was 126.52 mm, indicating that 11.80% of the rainfall was recharged into groundwater. Additionally, the average runoff rate was 498.56 mm, indicating that 46.52% was leaked externally. Therefore, it is suggested to decrease the impermeable sidewalk areas in urban parks. Additionally, extending the waterway, swamp, and gravel sidewalk areas is suggested. Urban parks should be developed in order to contribute to hydrological control through the water balance in urban land use.

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Section: Calculating the Runoff Coefficient According To The Land Cov...mentioning

confidence: 87%

Evaluation and Improvement Measures of the Runoff Coefficient of Urban Parks for Sustainable Water Balance

Son

Kwon

2022

Land

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“…Advantages Limitations [14] Insufficient data updated using the daily data at a nearby, hydrologically similar gauging station Insufficient evaluation of hydrologically similar observation points [12,15] Flow data estimated using TANK model with respect to sampling frequency Estimated data affected by various artifacts (e.g., a dam) located near the study area [10,16] Extended daily flow data from 8-day interval flow data using SWAT model High-flow regime faces high uncertainty due to scarce high-flow measurements [17][18][19][20][21][22] Emphasizes the advantages of daily discharge data for constructing FDCs and the importance of daily timestep hydrological information for water resource management However, due to the construction of various artifacts, such as weirs, reservoirs, and agricultural waterways, the hydrological modeling is facing difficulties that result in uncertainties. Thus, a study on the development of the daily flow expansion regression equations employing the 8-day interval measurement data in the monitoring networks has been implemented to evaluate the annual pollutant load characteristics for flow conditions [7].…”

Section: Referencesmentioning

confidence: 99%

Development of Daily Flow Expansion Regression and Web GIS-Based Pollutant Load Evaluation System

Kum,

Ryu,

Shin

et al. 2024

Water

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This study accounted for the importance of daily expansion flow data in compensating for insufficient flow data in a watershed. In particular, the 8-day interval flow measurement data (intermittent monitoring data) could cause uncertainty in the high- or low-flow conditions that have been used to estimate the flow duration curve (FDC) and the load duration curve (LDC) used in Total Maximum Daily Load (TMDL) evaluation in Korea. Thus, this study developed a method to expand the 8-day interval flow data (missing data) to daily flow data in order to evaluate the Total Maximum Daily Load (TMDL) appropriately in a watershed. We employed the machine learning technique (the gradient descent method provided by the Google TensorFlow package) to develop a regression for expanding the 8-day interval flow data. The method was applied in the Nakdong River basin located in Korea to collect the 8-day interval and daily flow data from a number of gauging stations. The results of the expanded daily flow were evaluated through the RMSE, MAE, IOA, and NSE, and the valid expanded daily flow data were obtained for the 29 TMDL gauging stations (IOA 0.84~0.99, NSE −0.18~0.99). A good performance in the creation of daily flow data (continuous data) from the 8-day interval flow data (intermittent data) was shown using the proposed method. In addition, the Web GIS-based pollutant load assessment system was developed to evaluate the TMDL; it included the daily data expansion method and provided the pollution load characteristics objectively and intuitively. This system will help decision makers, such as environmental regulators, researchers, and the general public, and support their decision making for pollution source management with accessible and efficient tools for understanding and addressing water quality issues.

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Estimation of runoff coefficient through impervious covers analysis using long-term outflow simulation

Cited by 2 publications

References 0 publications

Evaluation and Improvement Measures of the Runoff Coefficient of Urban Parks for Sustainable Water Balance

Evaluation and Improvement Measures of the Runoff Coefficient of Urban Parks for Sustainable Water Balance

Development of Daily Flow Expansion Regression and Web GIS-Based Pollutant Load Evaluation System

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