• Title/Summary/Keyword: antecedent precipitation

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Rural Stream Monitoring for Investigation of Stream Depletion in Rural Area (농촌소하천 건천화 실태조사를 위한 하천 수문.수질 모니터링)

  • Kim, Sung Min;Kim, Sung Jae;Kim, Sang Min
    • Journal of agriculture & life science
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    • v.46 no.3
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    • pp.129-141
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    • 2012
  • The purpose of this study was to monitor the stream flow of rural streams for investigating the status of stream depletion located downstream of irrigation reservoir. Bonghyun and Hai reservoirs area, located in Hai-myeon, the city of Gosung, Gyeongsangnam Province, were selected for study watersheds and streams. Stream flow monitoring was conducted 7 times from March to September, 2011. Stream flow was measured for 8 stations downstream from two reservoirs. The stream depletion was found in most of the downstream of reservoirs for the non-irrigation period and even in the irrigation period when there were a lot of antecedent precipitation. The correlation analysis for water quality data indicated that the correlation between BOD and T-N was highest for the reservoirs. The correlation between BOD, T-N, and turbidity was high for Hai reservoir and Bonghyeon reservoir. Continuous monitoring for rural streams located in downstream of reservoirs are required to quantify the status of stream flow depletion and determine the amount of environmental flows.

An analysis of runoff characteristic by using soil moisture in Sulma basin (설마천 연구지역에서의 토양수분량을 활용한 유출 발생 특성분석)

  • Kim, Kiyoung;Lee, Yongjun;Jung, Sungwon;Lee, Yeongil
    • Journal of Korea Water Resources Association
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    • v.52 no.9
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    • pp.615-626
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    • 2019
  • Soil moisture and runoff have very close relationship. Especially the water retention capacity and drainage characteristics of the soil are determined by various factors of the soil. In this study, a total of 40 rainfall events were identified from the entire rainfall events of Sulma basin in 2016 and 2017. For each selected events, the constant-K method was used to separate direct runoff and baseflow from total flow and calculate the runoff coefficient which shows positive exponential curve with Antecedent Soil Moisture (ASM). In addition to that, the threshold of soil moisture was determined at the point where the runoff coefficient starts increasing dramatically. The threshold of soil moisture shows great correlation with runoff and depth to water table. It was founded that not only ASM but also various factors, such as Initial Soil Moisture (ISM), storage capacity of soil and precipitation, affect the results of runoff response. Furthermore, wet condition and dry condition are separated by ASM threshold and the start and peak response are analyzed. And the results show that the response under wet condition occurred more quickly than that of dry condition. In most events occurred in dry condition, factors reached peak in order of soil moisture, depth to water table and runoff. However, in wet condition, they reached peak in order of depth to water table, runoff and soil moisture. These results will help identify the interaction among factors which affect the runoff, and it will help establish the relationship between various soil conditions and runoff.