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http://dx.doi.org/10.15681/KSWE.2015.31.3.295

The Allocation Methods for Economical Efficiency Using an Optimized Model  

Choi, In Uk (Watershed and Total Load Management Research Division, National Institute of Environmental Research)
Shin, Dong Seok (Watershed and Total Load Management Research Division, National Institute of Environmental Research)
Kim, Hong Tae (Watershed and Total Load Management Research Division, National Institute of Environmental Research)
Park, Jae Hong (Watershed and Total Load Management Research Division, National Institute of Environmental Research)
Ahn, Ki Hong (Watershed and Total Load Management Research Division, National Institute of Environmental Research)
Kim, Yong Seok (Watershed and Total Load Management Research Division, National Institute of Environmental Research)
Publication Information
Journal of Korean Society on Water Environment / v.31, no.3, 2015 , pp. 295-303 More about this Journal
Abstract
In Korea, Total Maximum Daily Loads(TMDLs) has been enforced to restore and manage water quality in the watersheds. However, some assesment of implementation plan of TMDLs showed that the achievement of the target water quality is not related to the proper allocation loads because difference of flow duration interval. In the United States, the discharge loads are determined by water quality modeling considering standard flow conditions according to purpose. Therefore, this study tried to develop the allocation method considering economical efficiency using water quality model. For this purpose, several allocation methods being used in the management of TMDLs is investigated and develope an allocation criteria considering regional equality and uniformity. Since WARMF(Watershed Analysis Risk Management Framework) model can simulate the time varying behavior of a system and the various water quality variables, it was selected for a decision support system in this study. This model showed fairly good performance by adequately simulating observed discharge and water quality in Miho watershed. Furthermore, the scenario simulation results showed that the effect of annual average water quality improvement to remove 1kg BOD is more than 25 times, even if point pollutants treatment facility is six times more expensive to operate than non-point pollutants treatment facility.
Keywords
Allocation method; Dynamic model; Miho watershed; Optimized model; Total Maximum Daily Loads;
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  • Reference
1 Ministry of Environment (MOE). (2013). hwan-gyeong-gi-cho-sisul-un-young-bi-ji-won-gi-jun-ae-gwan-han-gi-chim. [Guideline for the Decision Criteria of Operational Costs to Environmental infrastructure], Ministry of Environment. [Korean Literature]
2 National Institute of Environmental Research.Geum River Watershed Management Committee. (2011). Geum-gang-su-gye-1-dan-gye-su-gil-o-yeom-choung-ryang-je-si-hyang-sung-gwa-pyung-ga. [Performance Measurement of Total Maximum Daily Loads for the 1st phase in Geum River Watershed], National Institute of Environmental Research.Geum River Watershed Management Committee. [Korean Literature]
3 Park, G. J., Kim, S. H., Lim, D. W., and Yoon, J. Y. (2009). The Analysis of Hydrology and Water Quality in Bocheong Stream Basin using WARMF, Proceedings of the 2009 Fall Co-Conference of the Korean Society on Water Environment and Korean Society of Water and Wastewater, Korean Society on Water Environment and Korean Society of Water and Wastewater, pp.581. [Korean literature]
4 Rural Research Institute. (2012). Sae-man-geum-you-yuk-nong-upbi-gum-o-yom-won-jur-gam-gi-bub-gae-bal-yeon-gu. [A study on development of agricultural non-point source pollution reduction measures on the Saemangeum watershed], Rural Research Institute. [Korean Literature]
5 Geum River Environment Research Center. (2008). Jung-so-yooyuk-su-gil-bo-jun-gye-whaek-su-rib (mi-ho-cheon-jung-kwun-yuksu-gil-mit-su-saeng-tae-gye-bo-jun-gye-whaek. [Establishment of water quality improvement and preservation countermeasure plan in sub-basin(water quality and water ecosystem preservation plan in sub-basin of Miho stream)], Geum River Environment Research Center. [Korean Literature]
6 Geum River Environment Research Center. (2009). Sang-ru-yooyuk-gang-woo-you-chul-su-ga-dae-cheong-ho-ho-su-man-ip-busu-gil-ae-mi-chi-nun-young-hyang-bun-suck(I). [Effect analysis of rainfall runoff on embayment water quality in the Daecheong Lake(I)], Geum River Environment Research Center. [Korean Literature]
7 Han River Flood Control Office. (2013). Water Management Information System (WAMIS), http://www.wamis.go.kr/Water-Map2013/WMS.html (accessed July. 2013).
8 Han River Watershed Management Committee. (2012). Nong-chongi-yuk-bi-gum-o-yom-won-sak-gam-hyo-gwa-jung-ryang-wha-yeon-gu. [A quanitification study on the reduction effect of agricultural non-point source pollution in rural areas], Han River Watershed Management Committee. [Korean literature]
9 Keller, A. A. (2007). User's Guide for Developing a WARMF 6.2 Watershed Model using BASINS 4.0. Systech Engineering, Inc.
10 Lee, H. Y. and Park, S. S. (2004). Application of a Decision Support System for Total Maximum Daily Loads, Journal of Korean Society on Water Environment, 20(2), pp.151-156. [Korean Literature]
11 Ministry of Environment (MOE). (2005). Ju-yo-bi-gum-o-yomwon-ae-dae-han-hyo-gwa-jek-in-gwan-ri-bang-an. [Effective Management Plans on major Non-point Sources], Ministry of Environment. [Korean Literature]