• A Proposal for the Number of Investigation Wells for Optimal Radial Collector Well Design 
  • Myoung-Rak Choi1·Gyoo-Bum Kim2*

  • 1Department of Disaster Prevention, Graduate School of Daejeon University
    2Department of Construction Safety and Disaster Prevention, Daejeon University

  • 방사형 집수정의 적정 설계를 위한 조사 물량 제안
  • 최명락1·김규범2*

  • 1대전대학교 일반대학원 방재학과
    2대전대학교 건설안전방재공학과


In general, the estimation of optimum yield for the radial collector well is determined by the empirical equation or numerical modeling, in which hydraulic conductivity of the aquifer is a main influence factor. Hydraulic conductivities of 164 soil samples collected from boreholes and horizontal wells (average length: about 50 m) installed during well construction in the Anseong stream were drawn in two-dimensional map by the Kriging method and utilized in this study. Hydraulic conductivity analyses by Representative Elementary Count (REC) indicated the average hydraulic conductivity is similar to that of the pumping test when the number of samples reaches about 1,000, which correspond to 1,000 m2. Pumping test was also conducted at 1 pumping well and 13 observation wells to estimate hydraulic conductivities at each observation well. REC analysis indicated that the average value of hydraulic conductivity calculated from at least four observation wells is valid as a representative value. The overall result suggested that multiple observation wells or multiple pumping-observation well systems that are located within the range of horizontal wells should be utilized to properly estimate the representative hydraulic conductivity values and the yield of a radial collector well.

Keywords: Radial collector well, Representative Elementary Count, Hydraulic conductivity, Investigation well

This Article

  • 2020; 25(2): 1-8

    Published on Jun 30, 2020

  • 10.7857/JSGE.2020.25.2.001
  • Received on Mar 23, 2020
  • Revised on May 12, 2020
  • Accepted on Jun 5, 2020

Correspondence to

  • Gyoo-Bum Kim
  • Department of Construction Safety and Disaster Prevention, Daejeon University

  • E-mail: geowater@dju.kr