本文選題：渠系優(yōu)化 + 智能算法　； 參考：《西北農(nóng)林科技大學(xué)學(xué)報(bào)(自然科學(xué)版)》2017年04期

【摘要】：【目的】基于RS、GIS技術(shù)及智能算法,對(duì)灌區(qū)渠系優(yōu)化配水工作進(jìn)行研究,為提高灌區(qū)管理、制定配水計(jì)劃提供科學(xué)依據(jù)�！痉椒ā坎捎�"組間續(xù)灌、組內(nèi)輪灌"的工作方式,選擇總配水時(shí)間最短與輪灌組之間引水持續(xù)時(shí)間差異值同時(shí)最小作為優(yōu)化目標(biāo),以黑河中游甘肅省張掖市甘州區(qū)盈科灌區(qū)盈二支一分支為例,構(gòu)建多目標(biāo)渠系優(yōu)化配水模型,并基于粒子群算法和蟻群算法對(duì)模型進(jìn)行求解。【結(jié)果】成功構(gòu)建了多目標(biāo)渠系優(yōu)化配水模型,以黑河中游張掖市甘州區(qū)盈科灌區(qū)5km×5km區(qū)域優(yōu)化配水為實(shí)例的研究表明,采用多目標(biāo)粒子群算法時(shí)的最大配水時(shí)間為113.6h,最小配水時(shí)間為105.3h,輪灌組引水時(shí)間差異為8.3h;采用多目標(biāo)蟻群算法時(shí)的最大配水時(shí)間為113.5h,最小配水時(shí)間為105.3h,輪灌組引水時(shí)間差異為8.2h。解算的結(jié)果均低于人工制定的168h原配水計(jì)劃�！窘Y(jié)論】基于RS、GIS及智能算法解決渠系配水問題,不僅可以縮短輪灌周期,減少配水過程中的水量損失,還可保證配水精度,減少勞動(dòng)力支出。
[Abstract]:[objective] based on RSGIs technology and intelligent algorithm, the optimal distribution of water in canal system of irrigation area was studied in order to provide scientific basis for improving the management of irrigation area and making water distribution plan. [methods] the working mode of "continuous irrigation between groups, rotation irrigation in group" was adopted. The shortest total water distribution time and the minimum water diversion duration difference between the rotation irrigation groups were selected as the optimization objectives. Taking the two branches of Yingke Irrigation District of Ganzhou District, Zhangye City, Gansu Province as an example, a multi-objective optimal water distribution model was constructed. The model was solved based on particle swarm optimization and ant colony algorithm. [results] the optimal water distribution model of multi-objective canal system was successfully constructed. The case study of the 5km 脳 5km area of Yingke irrigation district in Ganzhou district of middle reaches of Heihe River shows that the optimal distribution of water in the area of Yingke irrigation district in Ganzhou district of Heihe River is an example. The maximum water allocation time and minimum water allocation time were 113.6 h and 105.3 h, respectively, and the difference of water diversion time between rotation irrigation group and rotation irrigation group was 8.3 h, while the maximum water allocation time and minimum water allocation time were 113.5 h and 105.3 h in multi-objective ant colony algorithm, respectively, and the water diversion time difference of rotation irrigation group was 8.2 h. The maximum water distribution time was 113.5 h, the minimum water allocation time was 105.3 h, and the water diversion time of rotation irrigation group was 8.2 h. The results of calculation are lower than those of the original water distribution plan of 168h. [conclusion] solving the water distribution problem of canal system based on RSGIs and intelligent algorithm can not only shorten the cycle of rotation irrigation, reduce the water loss in the process of water distribution, but also ensure the water distribution accuracy. Reduce labor spending.
【作者單位】： 中國(guó)科學(xué)院東北地理與農(nóng)業(yè)生態(tài)研究所;中國(guó)科學(xué)院大學(xué);平頂山學(xué)院圖書館;鄭州大學(xué)水利與環(huán)境學(xué)院;
【基金】：國(guó)家重點(diǎn)研發(fā)計(jì)劃“全空間信息系統(tǒng)與智能設(shè)施管理”項(xiàng)目,“全空間信息系統(tǒng)建模理論”課題(2016YFB0502301) 河南省基礎(chǔ)研究計(jì)劃項(xiàng)目(152300410044)
【分類號(hào)】：S127;S274
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本文編號(hào)：2028161