• Title/Summary/Keyword: Unit watershed

Search Result 325, Processing Time 0.028 seconds

Development of a Monitoring Method for Soil Erosion using an Ultrasonic Sensor (I) (초음파센서를 활용한 토양침식모니터링 방법 개발 (I))

  • Nam, Koung-Hoon;Lee, Jea-Hyoung;Lee, Hak-Yun;Jeong, Gyo-Cheol
    • The Journal of Engineering Geology
    • /
    • v.25 no.1
    • /
    • pp.83-91
    • /
    • 2015
  • Few studies have investigated soil management policy and soil erosion measurement, whereas the occurrence of climate change requires the establishment of robust soil management systems and appropriate control of soil erosion. In this study, we developed a smart sensor for real-time quantitative measurements of soil erosion at the watershed scale. The smart sensor consists of an ultrasonic sensor, a rainfall meter, a solar cell, an RTU (remote terminal unit),and a CDMA (code division multiple access) and it was programmed to take a measurement every 30 minutes. The depths measured by the smart sensor were compared with data from terrestrial LiDAR. Experimental results showed a strong correlation in the depth of soil erosion between LiDAR and the ultrasonic sensor for the period from 22 August to 11 October 2013. Furthermore, the correlation coefficient between soil erosion depth (mm) and soil erosion volume (m3) was 0.9063 in the lower region of the watershed and is 0.9868 in the upper region. The proposed ultrasonic sensor technique can provide high-quality data for soil conservation and management systems in the future.

Determination of Optimal Operation Water Level of Rain Water Pump Station using Optimization Technique (최적화 기법을 이용한 빗물펌프장 최적 운영수위 결정)

  • Sim, Kyu-Bum;Yoo, Do-Guen;Kim, Eung-Seok
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.19 no.7
    • /
    • pp.337-342
    • /
    • 2018
  • A rain water pumping station is a structural countermeasure to inland flooding of domestic water generated in a urban watershed. In this study, the optimal operation water level of the pump with the minimum overflow was determined based on the opinions of the person in charge of the operation of the rain water pump station. A GA (Genetic Algorithm), which is an optimization technique, was used to estimate the optimal operation water level of the rain water pump station and was linked with SWMM (Ver.5.1) DLL, which is a rainfall-runoff model of an urban watershed. Considering the time required to maximize the efficiency of the pump, the optimal operating water level was estimated. As a result, the overall water level decreased at a lower operating water level than the existing water level. For most pumps, the lowest operating water level was selected for the operating range of each pump unit. The operation of the initial pump could reduce the amount of overflow, and there was no change in the overflow reduction, even after changing the operation condition of the pump. Internal water flooding reduction was calculated to be 1%~2%, and the overflow occurring in the downstream area was reduced. The operating point of the pump was judged to be an effective operation from a mechanical and practical point of view. A consideration of the operating conditions of the pump in future, will be helpful for improving the efficiency of the pump and to reducing inland flooding.

Outflow Loads of Total Nitrogen, Total Phosphorus, and COD in Mountain Stream Water (산지 계류수에서의 총질소, 총인 및 COD의 유출부하)

  • Kim, Jin-Soo;Kim, Sun-Jong;Oh, Kwang-Young;Oh, Seung-Young;Kim,Je-Su;Jeong, Young-Ho
    • Journal of Korea Water Resources Association
    • /
    • v.36 no.5
    • /
    • pp.787-797
    • /
    • 2003
  • The characteristics of concentrations and loads of Total Nitrogen(T-N), Total Phosphorus(T-P), and Chemical Oxygen Demand (COD) in mountain stream water were examined from September 2000 through August 2001. The 92.5-ha study watershed in Chungbuk Province consists of 59% mixed forest and 30% coniferous forest. Streamflow was measured and water samples were collected at about 10 day intervals for dry days and at 2-6 hour intervals for a storm event at the study watershed outlet. The mean concentration of COD in streamflow for rainy days was significantly (p < 0.05) higher than for dry days. The mean concentrations of T-N and T-P in vegetation growing season (May to October) were lower than those in vegetation dormant season (November to April). Low concentrations of pollutants during vegetation growing season are likely due to the heavy demand for nutrients by the vegetation and biological activity associated with a warming of soil. The ratios of pollutants loads during storm periods to annual pollutants loads were 87% for T-N, 83% for T-p, and 87% for COD. The unit loads of pollutants for study area were estimated at 5.9 kg/ha $\cdot$ yr for T-N, 0.15 kg/ha $\cdot$ yr for T-p, and 23.9 kg/ha $\cdot$ yr for COD. The removal efficiency of pollutants in study area were 24% for T-N, 58% for T-P and 66% for COD, indicating that a study area shows water purification function.

Estimation of Water Pollution Load Based on Watershed Unit in Bocheong Seream (보청천에 대한 유역단위의 오염부하량 산정)

  • Shin, Geun-Su;Kim, Hung-Soo;Kim, Gun-Hyung
    • Proceedings of the Korea Water Resources Association Conference
    • /
    • 2007.05a
    • /
    • pp.961-965
    • /
    • 2007
  • 현재 오염총량관리제를 시 군 단위의 기초자치 단체별로 시행하고 있는데 실제로 오염물질의 전달은 행정구역단위가 아닌 유역내에서 이루어지진다. 따라서 본 연구에서는 기초자치 단체별이 아닌 유역단위로 오염부하량과 삭감량을 산정함으로써 유역 단위의 오염총량관리제 계획 수립을 위한 토대를 제공하고자 한다. 본 연구에서는 보청천 유역을 대상으로 유역의 오염부하량을 산정하고자 하였다. 이를 위하여 지리정보시스템(GIS)인 WMS(Watershed Management System)와 ArcView를 이용하여 유역의 지형인자들을 추출하고, 각 소하천의 토지이용도와 생활계, 축산계, 양식계, 토지계를 바탕으로 원단위를 적용하여 발생부하량을 산정하였다. 그리고 각 소하천별 발생부하량 산정 결과를 토대로 각 수질관측점을 기준으로 하여 배출부하량을 산정하였으며, 배출부하량의 산정결과를 이용하여 유달부하량을 산정하였다. 이를 위해서 필요한 수질 데이터는 QUAL2E 모형을 이용하여 모의 하였으며, 수리 및 수질 매개변수를 추정하고 모형의 보정 및 검증을 수행하였다. 그 결과 유달부하량은 BOD는 2013.16kg/일, TN은 1091.34kg/일, TP은 235.16kg/일이 도출되었다. 따라서 장래에 수질이 악화될 경우를 고려하여 수질 항목별 오염량이 2배, 3배로 증가한다고 가정하였다. 오염량이 2배 증가하였을 경우, 오염부하량을 산정한 결과 보청천3 지점에서 BOD는 184.68kg/일이 삭감되어야 하고, 오염량이 3배 증가하였을 경우 BOD는 1775.69kg/일이 삭감되어야 한다는 결과를 도출할 수 있었다. 본 연구와 같이 유역단위로 오염부하량을 산정할 경우, 오염원을 줄이는데 효율적일 것으로 생각되며, 향후 오염총량관리제를 위해 유역단위의 오염부하량 산정을 고려하면 좋을 것으로 사료된다.는 지배적인 요인으로 남게 될 것이다. 본 연구에서는 현재 진행중인 승기천 오염하천 정화사업이 종료되는 시점을 기준으로 남동유수지에 대해 승기천과 연계한 유수지의 환경개선 방법을 제안하였다. 준설을 통해 유수지의 근본적인 오염원을 제거하고 남동유수지 유입부에 인공습지와 수처리설비를 설치하여 유수지의 수질을 개선하고 개선된 수질이 3급수로 유지하도록 하였으며, 설치된 인공습지에는 철새도래지를 조성하여 유수지 유입수인 철새가 날아드는 하천인 승기천의 테마와 연계하도록 하였다. 인공습지 주변으로 식생호안을 설치하고 유수지 주변에는 산책로를 설치하여 지역주민들의 친환경 수변공간으로 활용하도록 하였다. 1유수지와 연결된 2유수지는 BTL사업을 통해 주변공단으로부터의 오폐수를 원천적으로 차단하도록 하였으며 2유수지를 매립하여 지하는 강우시 유출수 저류가 가능한 화물차주차장으로 활용하고 지상은 녹지공간으로 조성하여 공단근로자 및 지역주민을 위한 휴식공간으로 활용될 수 있도록 제안하였다. 본 연구는 남동유수지 환경 개선 사업 실행을 위한 정책 연구로 연구결과를 인천시가 적극 수용하기로 결정함에 따라 인천시의 환경 현안 문제인 남동유수지의 수질개선을 통해 시민의 휴식 및 여가선용 공간으로 활용하기 위한 사업의 기초자료로 활용되며 이미 설계검토가 시작되었다. 본 연구결과는 유수지 및 저수지의 환경개선 사업의 선두적인 성공사례로 국내 타 지역의 유사한 사업에 있어 벤치마킹을 할 수 있는 훌륭한 사례가 될 것이다.요 생산이 증가하자 군신의 변별(辨別)과 사치를 이유로 강력하게 규제하여 백자의 확대와 발전에 걸림돌이 되었다. 둘째, 동기(銅器)의 대체품으로 자기를 만들어 충당해야할 강제성 당위성 상실로 인한 자기수요 감소를 초래하였을 것으로 사료된다. 셋째, 경기도 광주에서 백자관요가 운영되었으므로 지방인 상주

  • PDF

Analysis of Time-Area Curve Effects on Watershed Runoff (시간-면적곡선의 유역유출해석 영향분석)

  • Jeong, Dae-Myoung;Bae, Deg-Hyo
    • Journal of Korea Water Resources Association
    • /
    • v.36 no.2
    • /
    • pp.211-221
    • /
    • 2003
  • The objectives of this study are to analyze the effects of time-area curve on Clark's watershed runoff method in addition to propose a GIS-based objective method for creating time-area curve. For the relative comparison of the variation of time-area curve to those of travel time and storage coefficient of Clark method, runoff sensitivities are performed on Soyang- and Chungju-dam watersheds for 1990. 9. 10~9. 14 event. The dimensionless time-area curve in HEC-1 that can be utilized in the case that the curve is not supplied is also tested in this study. The important results obtained in this study are as follows: The effects of time-area curve created by either GIS-based objective method or dimensionless curve are not significant for runoff analysis; The storage coefficient (K) and travel time( t$_{c}$), Clark's other two model parameters, are more sensitive than time-area curve for peak flow simulation. Therefore, it can be concluded that the parameters K and t$_{c}$ are more carefully estimated rather than time-area curve, when Clark method is used for runoff analysis.

The Study to Derive Empirical Formula of Rainfall Intencity in Korea (한국에 있어서 강우강도의 효과에 관한 연구)

  • 박성우
    • Magazine of the Korean Society of Agricultural Engineers
    • /
    • v.11 no.2
    • /
    • pp.1644-1650
    • /
    • 1969
  • In the design of general hydrological structures, it is well know that the design flood is of importance in the design of those structures. As the design flood is estimated using the design storm, the design storm is defined by the rainfall intensity itself. Though I had studied and reported many times the reports about the rainfall-intensity in my country, poorly I did not study the long-period variation of the intensity through each section in my country before. But now, in the basin area of the Han river and the Keum river, the self-recorded rainfall charts of the single storms, which are mostly above rainfall amount of 30mm and data of about 4500 with the 150 stationyear, were analyzed, And then, the intensity formula of the hourly unit is estimated using the period from 10 minutes to 5 days. The method to analyze and estimate them, and the final results will be summarized as mentioned below: (i) At first I intended to select out the homogeneous watersheds of three, one in the Han river and two in the Keum river. But I would select the northern and the sourthern river basins, and westward from Koan station, in the basins of the Han river. Also I would select the upstream area, and the downstream area including the watershed of Chungioo, Kongjoo, Chupungryung, and the Mt. Sock, in the basins of the Keum river. Finally, I could find that there couldn't in the Keum river basin. So, I decided out and analyze only river basins of the Han river with limitation mentioned above. (ii) The statistical method to select out the homogenous watersheds is the test of homogeneous variance, and it is estimated from the following equation: $$X_{k1}^2=[{\Sigma}(n_i-1)log\bar{S^2}-\Sigma(n_i-1)log\bar{S^2}]{\times}loge$$ (iii) Actually, each homogeneous watershed has individually its own intensity formula, But I would express them as the actual amount, because the equation of intensity variance is experiential and theoretical equation of the variance. Therefore the caluating equation is actually more convenient in the actual uses. (iv) This report is one of the series for me to give the basis to the actual designs. The cost for this study is provided by the Ministry of Construction. And the designs of the hydrological structures in the watersheds with limitation mentioned above may be concerned with and based upon this report.

  • PDF

Analysis of GIUH Model by Using GIS in River Basin (하천유역에서 GIS를 이용한 GIUH 모형의 해석)

  • Heo, Chang-Hwan;Lee, Sun-Tak
    • Journal of Korea Water Resources Association
    • /
    • v.35 no.3
    • /
    • pp.321-330
    • /
    • 2002
  • This study aims at the analysis of the geomorphological instantaneous unit hydrograph model (GIS-GIUH) with geographic information system for the rainfall-runoff analysis of watershed which is ungaged or doesn't have sufficient hydrologic data. The rainfall-runoff analysis was performed in Wi stream(Dongkok, Koro, Miseung, Byeungchun, Hyoreung, Museung) which is a representative experimental river basin of IHP. In the process of analysis of the GIUH model, developed GIS-GIUH model and Rosso-GIUH model were applied the study basin and computed hydrographs by these models were compared with observed hydrograph. The GiS-GIUH model shows more closely to the observed hydrograph than Rosso-GIUH model in the peak discharge of the hydrograph. For the development of the GIS-GIUH model, Gamma function factor N was given by N=3.25( $R_{B}$/ $R_{A}$)$^{0.126}$ $R_{L}$$^{-0.055}$, which is the relation of the watershed geomorphological factor, K was also obtained as K=1.50( $R_{A}$/( $R_{B}$. $R_{L}$))/$^{0.10}$.(( $L_{{\Omega}}$+ $L_{{\Omega}-1}$)/V)$^{0.37}$. As the results of analysis, it was found that GIS-GIUH model can be applied to an ungaged watersheds.eds.

Multi parameter optimization framework of an event-based rainfall-runoff model with the use of multiple rainfall events based on DDS algorithm (다중 강우사상을 반영한 DDS 알고리즘 기반 단일사상 강우-유출모형 매개변수 최적화 기법)

  • Yu, Jae-Ung;Oh, Se-Cheong;Lee, Baeg;Kwon, Hyun-Han
    • Journal of Korea Water Resources Association
    • /
    • v.55 no.11
    • /
    • pp.887-901
    • /
    • 2022
  • Estimation of the parameters for individual rainfall-rainfall events can lead to a different set of parameters for each event which result in lack of parameter identifiability. Moreover, it becomes even more ambiguous to determine a representative set of parameters for the watershed due to enhanced variability exceeding the range of model parameters. To reduce the variability of estimated parameters, this study proposed a parameter optimization framework with the simultaneous use of multiple rainfall-runoff events based on NSE as an objective function. It was found that the proposed optimization framework could effectively estimate the representative set of parameters pertained to their physical range over the entire watershed. It is found that the difference in NSE value of optimization when it performed individual and multiple rainfall events, is 0.08. Furthermore, In terms of estimating the observed floods, the representative parameters showed a more improved (or similar) performance compared to the results obtained from the single-event optimization process on an NSE basis.

Evaluation of GIS-based Soil Loss Amount in Considering Basin Characteristics (유역특성을 고려한 GIS 기반 토양침식량 평가)

  • Guak Dong-Wook;Cho Gi-Sung
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
    • /
    • v.24 no.1
    • /
    • pp.89-97
    • /
    • 2006
  • Soil erosion has caused serious environmental problems which threaten the foundation of natural resources. In this paper, we chose RUSLE erosion model, which could be connected easily with GSIS and available generally in mid-scale watershed among soil erosion models, and extracted factors entered model by using GSIS spatial analysis method. First, this study used GIS database as soil map, DEM, land cover map and rainfall data of typhoon Memi (2003) to analyze soil loss amount of Dam basin. To analyze the changes of soil loss in considering basin characteristics as up-, mid- and downstream, this study calculated soil erodibility factor (K), topographic factors (LS), and cover management factor (C). As a result of analysis, K and LS factors of upstream showed much higher than those of downstream because of the high ratio of forest. But C factor of downstream showed much higher than that of upstream because of the high ratio of agricultural area. As a result of analysis of soil loss, unit soil loss of upstream is 4.3 times than soil loss of downstream. Therefore, the establishment of countermeasures for upstream is more efficient to reduce soil loss.

Estimation of Pollution Contribution TMDL Unit Watershed in Han-River according to hydrological characteristic using Flow Duration Curve (유량지속곡선을 이용한 수문특성별 한강수계 총량관리 단위유역의 오염기여도 추정)

  • Kim, Dong Young;Yoon, Chun Gyeong;Rhee, Han Pil;Choi, Jae Ho;Hwang, Ha Sun
    • Journal of Korean Society on Water Environment
    • /
    • v.35 no.6
    • /
    • pp.497-509
    • /
    • 2019
  • After the Total Maximum Daily Loads(TMDLs) was applied, it became beyond the limit of concentration management. However, it does not adequately reflect the characteristics of various watersheds, and causes problems with local governments because of the standard flow set. Thus, in this study, the Han River system is organized into four groups in estimating the Pollution Contribution by applying the Flow Duration Curve(FDC) created by the daily flow of data from the HSPF. And the method of this study is expected to be valuable as basic data for the TMDLs. As a result, Group I contains the main watersheds with no large hydraulic structures and tributary watersheds. There is no specificity in the FDC and the Pollution Contribution is estimated as rainfall runoff. Group II contains watersheds near the city where the FDC is maintained above a certain level during the Low Flow Conditions and the Pollution Contribution is estimated as the discharge flow of large scale point pollution facilities. Group III contains the main watersheds in which the large hydraulic structures are installed and FDC is curved in the Low Flow Conditions. So the Pollution Contribution is estimated as the water quality of the large hydraulic structures. Group IV contains the upstream in mainstream watersheds in which the large hydraulic structures are installed and the FDC is disabled before the Low Flow Conditions. As the flow is concentrated in the High Flow Conditions, the non-point pollution sources are estimated as the Pollution Contribution.