Stochastic design of hydraulic structures in irrigation canal networks
A methodology is presented for optimal design of hydraulic structures in a branched irrigation canal network subject to parametric and objective uncertainty. Monte Carlo simulation of steady spatially varied flow is incorporated into the Hooke and Jeeves direct-search method to determine a high-performance, low-cost solution. Fuzzy membership functions address subjectivity associated with interpreting expected values of performance measures in light of water delivery objectives. Solution of an example problem yields an optimal design for 10 pipe diversion structures in a lined canal network. Water supply level, potential crop evapotranspiration, canal hydraulic resistance, and irrigation application efficiency were modeled as a random variables. Results indicated that predicted performance for a given design can be subject to significant variability. Coefficients of variation in system performance measures for adequacy, efficiency dependability, and equity of water delivery were 0.13, 0.04, 0.17, and 0.20, respectively, at the optimal design. The method describes variability in system performance and relative cost for non-optimal designs as well. Such information is valuable for assessing the anticipated impact of alternative designs on overall system performance.(Author abstract)
원문보기 무료다운로드 유료다운로드
- 무료 원문 정보가 존재하지 않습니다.
- DOI : http://dx.doi.org/10.1061/(ASCE)0733-9437(1993)119:2(346)
- American Society of Civil Engineers : 저널> 권호
NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니 담기를 통하여 원문복사서비스 이용이 가능합니다.