基于WDO-PP模型的文山州近10年水资源承载力评价分析
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- 英文论文题名：Evaluation and analysis of water resources carrying capacity of Wenshan nearly 10 years based on WDO-PP model
- 论文作者：崔东文 ; 金波
- 英文论文作者：CUI Dong-Wen ; Yunnan province Wenshan Water Bureau
- 年：2016
- 作者机构：云南省文山州水务局;
- 论文关键词：水资源承载力 ; 投影寻踪 ; 风力驱动优化算法 ; 文山州
- 英文论文关键词：water resources carrying capacity ; projection pursuit ; wind driven optimization algorithm ; Wenshan State
- 会议召开时间：2016-11-01
- 会议录名称：云南省水利学会2016年度学术年会论文集
- 语种：中文
- 分类号：TV213.4
- 学会代码：YNKX
- 会议名称：云南省水利学会2016年度学术年会
- 会议地点：中国云南昆明
- 主办单位：云南省水利学会
- 学会名称：云南省科学技术协会
- 页数：8
- 文件大小：822k
- 原文格式：D
- 会议级别：地方
摘要
通过6个典型测试函数对新型优化算法——风力驱动优化(WDO)算法进行仿真验证,仿真结果与布谷鸟搜索(CS)算法、差分进化(DE)算法、混合蛙跳算法(SFLA)、粒子群优化(PSO)算法、蚁群优化(ACO)算法、帝国竞争算法(ICA)和模拟退火算法(SA)的寻优结果进行比较。选取水资源开发利用率、降水量等10个评价指标,应用风力驱动投影寻踪模型(WDO-PP)计算文山州2006年~2015年水资源承载力,并对其变化趋势及规划水平年2020年、2030年水资源承载力进行预测及评价分析。结果表明:(1)无论是单峰还是多峰函数,DWO算法寻优效果远优于CS、DE、SFLA、PSO、ACO、ICA和SA算法,具有较好的寻优精度、收敛速度、极值寻优能力以及收敛稳定性与可靠性。(2)WDO-PP模型对文山州2006年~2014年水资源承载力评价结果均为基本可承载(Ⅲ级),2015年评价结果为可承载(Ⅱ级)。水资源承载力随时间呈提升趋势,且提升趋势显著。对规划水平年2020年、2030年水资源承载力预测评价结果分别为可承载(Ⅱ级)和绝对可承载(Ⅰ级)。模型及方法具有一定的可操作性和有效性,可为区域水资源承载力计算分析提供新的思路和方法。
Through six typical test functions for new optimization algorithm- a wind-driven Optimization(WDO) algorithm simulation, the simulation results and cuckoo search(CS) algorithm, differential evolution(DE) algorithm, SFLA(SFLA), particles swarm optimization(PSO) algorithm, ant colony optimization(ACO) algorithm Empire competition algorithm(ICA) and simulated annealing(SA) algorithm for optimizing the results were compared. Select 10 index utilization of water resources development and precipitation, wind-driven applications Projection Pursuit Model(WDO-PP) Calculation Wenshan 2006 to 2015, water resource, and the level of its trends and Planning 2020 in 2030 water resource forecasting and evaluation and analysis. The results showed that:(1) either unimodal or multimodal function, DWO algorithm optimization result is much better than CS, DE, SFLA, PSO, ACO, ICA and SA algorithm has better accuracy optimization, convergence rate, seeking extreme value excellent ability and convergence stability and reliability.(2)WDO-PP model Wenshan Prefecture from 2006 to 2014, water resources bearing capacity evaluation results are basically capable of carrying(grade Ⅲ), 2015 annual results of the evaluation to be carrying(Ⅱ grade). Water resources carrying capacity over time, the trend was to enhance and upgrade a significant trend. Planning level 2020 and 2030 water resource prediction and assessment results are to be bearer(Ⅱ grade) and Absolute bearing(Ⅰ level). Models and methods have certain operability and effectiveness of regional water resources carrying capacity for computational analysis to provide new ideas and methods.
Through six typical test functions for new optimization algorithm- a wind-driven Optimization(WDO) algorithm simulation, the simulation results and cuckoo search(CS) algorithm, differential evolution(DE) algorithm, SFLA(SFLA), particles swarm optimization(PSO) algorithm, ant colony optimization(ACO) algorithm Empire competition algorithm(ICA) and simulated annealing(SA) algorithm for optimizing the results were compared. Select 10 index utilization of water resources development and precipitation, wind-driven applications Projection Pursuit Model(WDO-PP) Calculation Wenshan 2006 to 2015, water resource, and the level of its trends and Planning 2020 in 2030 water resource forecasting and evaluation and analysis. The results showed that:(1) either unimodal or multimodal function, DWO algorithm optimization result is much better than CS, DE, SFLA, PSO, ACO, ICA and SA algorithm has better accuracy optimization, convergence rate, seeking extreme value excellent ability and convergence stability and reliability.(2)WDO-PP model Wenshan Prefecture from 2006 to 2014, water resources bearing capacity evaluation results are basically capable of carrying(grade Ⅲ), 2015 annual results of the evaluation to be carrying(Ⅱ grade). Water resources carrying capacity over time, the trend was to enhance and upgrade a significant trend. Planning level 2020 and 2030 water resource prediction and assessment results are to be bearer(Ⅱ grade) and Absolute bearing(Ⅰ level). Models and methods have certain operability and effectiveness of regional water resources carrying capacity for computational analysis to provide new ideas and methods.
引文
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[19]Z.Bayraktar,M.Komurcu,and D.H.Werner.Wind Driven Optimization(WDO):A Novel Nature-Inspired Optimization Algorithm and Its Application to Electromagnetics.Proceedings of the 2010 IEEE International Symposium on Antennas and Propagation and USNC/URSI National Radio Science Meeting,Toronto,Canada,July 11-17,2010.
[20]崔东文,郭荣.岩溶地区生态环境脆弱性与水资源承载力评价方法研究--以云南省西畴县为例[J].水资源与水工程学报,23(3):124-130.
[2]童纪新,顾希.基于主成分分析的南京市水资源承载力研究水资源与水工程学报[J].,2015,26(1):122-125.
[3]李林,付强.偏最小二乘回归模型的城市水资源承载力研究[J].水科学进展,2006,16(6):822-825.
[4]周念清,杨硕,朱勍.承载指数与模糊识别评价许昌市水资源承载力[J].水资源保护,2014,(6):31-34.
[5]杨巧宁,孙希华,张婧,等.济南市水资源承载力系统动力学模拟研究[J].水利经济,2010,(2):16-20.
[6]吴永斌.基于可拓理论的区域水资源承载力评价水资源与水工程学报[J].,2012,23(5):162-165.
[7]何慧爽.基于集对分析的中原经济区水资源承载力评价[J].人民黄河,2014,36(6):75-77.
[8]崔东文.基于BP神经网络的文山州水资源承载能力评价分析[J].长江科学院院报,2012,29(5):9-15.
[9]崔东文,郭荣.SSO-PP模型在水源地安全保障达标评价中的应用[J].水利经济,2015,33(5):8-13.
[10]彭忠福,马学明,刘雁翼.江西省水资源承载力评价研究[J].人民长江,2011,42(18):75-77.
[11]王淑娟.基于投影寻踪模型和加速遗传算法的石羊河流域水资源承载力综合评价[J].地下水,2009,31(6):82-84.
[12]陈曜,丁晶,赵永.基于投影寻踪原理的四川省洪灾评估[J].水利学报,2010,41(2):220-225.
[13]王柏,张忠学,李芳花,等.基于改进双链量子遗传算法的投影寻踪调亏灌溉综合评价[J].农业工程学报,2012,28(2):84-89.
[14]陈广洲,汪家权,解华明.粒子群算法在投影寻踪模型优化求解中的应用[J].计算机仿真,2008,25(8):159-161,165.
[15]崔东文,姜敏.差分进化算法-投影寻踪模型在水质综合评价中的应用[J].人民珠江,2016,37(2):97-101.
[16]王明昊,董增川,马红亮.基于混合蛙跳与投影寻踪模型的水资源系统脆弱性评价[J].水电能源科学,2014,(9):31-35.
[17]候景伟,孔云峰,孙九林.蚁群算法在需水预测模型参数优化中的应用[J].计算机应用,2012,32(10):2952-2956.
[18]崔东文.鸡群优化算法投影寻踪洪旱灾害评估模型[J].水利水电科技进展,2016 36(2):16-23.
[19]Z.Bayraktar,M.Komurcu,and D.H.Werner.Wind Driven Optimization(WDO):A Novel Nature-Inspired Optimization Algorithm and Its Application to Electromagnetics.Proceedings of the 2010 IEEE International Symposium on Antennas and Propagation and USNC/URSI National Radio Science Meeting,Toronto,Canada,July 11-17,2010.
[20]崔东文,郭荣.岩溶地区生态环境脆弱性与水资源承载力评价方法研究--以云南省西畴县为例[J].水资源与水工程学报,23(3):124-130.
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