본문 바로가기
  • Home

Characteristic Analysis of Sediment Load in Mangyeong and Dongjin River during Flood Season

  • Crisisonomy
  • Abbr : KRCEM
  • 2012, 8(2), pp.180-200
  • Publisher : Crisis and Emergency Management: Theory and Praxis
  • Research Area : Social Science > Public Policy > Public Policy in general

김형산 1 Seungjin Maeng 1 Chung, Se-woong ORD ID 1 김태우 1

1충북대학교

Accredited

ABSTRACT

Discharge, sediment load, bed-material investigation, and long-term runoff analysis were performed at Daecheon water level station in Mangyeong River and Sintaein water level station in Dongjin River. Aim of this study estimates total sediment load and specific sediment yield entering Saemangeum Lake. The Modified Einstein Procedure was applied to estimate total sediment load and then a sediment rating curve was derived using sediment load data, as measured in this study and measured by other institutes in 2005. Runoff data for estimating long-term data on sediment load entering the lake are available for long-term runoff simulations. The HSPF model was applied to simultaneously perform water volume and quality simulations. The simulations were performed for a period of seven years, from 2002 to 2008. Using the simulated long-term runoff from 2002 to 2008 and the sediment rating curve at two water level stations, the mean sediment load entering the lake was estimated at 141,923(ton/yr) at the Daecheon water level station and 96,716(ton/yr) at the Sintaein water level station. Based on the long-term runoff analysis and the sediment rating curve obtained from data gathered from Daecheon and Sintaein water level stations, specific sediment yield at Saemangeum Lake was estimated at 276(ton/㎢/yr), while the sediment load entering the lake was 916,005 (ton/yr). The utilization of land and rivers in these regions vary with time. Therefore, these sediment load and analysis data better reflect the present condition of the rivers than previous data.

Citation status

* References for papers published after 2023 are currently being built.