Water | |
Development of a Web-Based L-THIA 2012 Direct Runoff and Pollutant Auto-Calibration Module Using a Genetic Algorithm | |
Chunhwa Jang3  Donghyuk Kum3  Younghun Jung3  Kyoungsoon Kim2  Dong Suk Shin1  Bernard A. Engel4  Yongchul Shin5  | |
[1] Water Pollution Load Management Research Division, National Institute of Environmental Research, Seogu, Incheon 404-708, Korea; E-Mail:;Geoinformatic Engineering Research Institute, Inha University, Namgu, Incheon 402-751, Korea; E-Mail:;Regional Infrastructure Engineering, Kangwon National University, Chuncheon, Gangwon 200-701, Korea; E-Mails:;Agricultural Biological Engineering, Purdue University, West Lafayette, IN 47907-2093, USA; E-Mail:;Department of Biological and Agricultural Engineering, Texas A&M University, College Station, TX 77843-2117, USA | |
关键词: web-basedauto-calibration module; genetic algorithm; L-THIA; NPS; runoff; BMPs; | |
DOI : 10.3390/w5041952 | |
来源: mdpi | |
【 摘 要 】
The Long-Term Hydrology Impact Assessment (L-THIA) model has been used as a screening evaluation tool in assessing not only urbanization, but also land-use changes on hydrology in many countries. However, L-THIA has limitations due to the number of available land-use data that can represent a watershed and the land surface complexity causing uncertainties in manually calibrating various input parameters of L-THIA. Thus, we modified the L-THIA model so that could use various (twenty three) land-use categories by considering various hydrologic responses and nonpoint source (NPS) pollutant loads. Then, we developed a web-based auto-calibration module by integrating a Genetic-Algorithm (GA) into the L-THIA 2012 that can automatically calibrate Curve Numbers (CNs) for direct runoff estimations. Based on the optimized CNs and Even Mean Concentrations (EMCs), our approach calibrated surface runoff and nonpoint source (NPS) pollution loads by minimizing the differences between the observed and simulated data. Here, we used default EMCs of biochemical oxygen demand (BOD), total nitrogen (TN), and total phosphorus-TP (as the default values to L-THIA) collected at various local regions in South Korea corresponding to the classifications of different rainfall intensities and land use for improving predicted NPS pollutions. For assessing the model performance, the Yeoju-Gun and Icheon-Si sites in South Korea were selected. The calibrated runoff and NPS (BOD, TN, and TP) pollutions matched the observations with the correlation (
【 授权许可】
CC BY
© 2013 by the authors; licensee MDPI, Basel, Switzerland.
【 预 览 】
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RO202003190031043ZK.pdf | 3655KB | download |