方艺辉;陈兴伟;

• 1:福建商学院信息管理工程系
• 2:福建师范大学地理科学学院
• 3:湿润亚热带山地生态国家重点实验室培育基地

摘要(Abstract)：

为了进一步强化水文模型的模拟和预报能力,结合Web GIS技术,采用B/S三层模式,探讨了框架实现的若干关键技术,构建了一个高效的河口水环境管理决策支持系统框架.以闽江河口盐度预报为例,将前期研发的GA-SVM盐度预报模型以紧密方式集成到系统框架中,开发了基于GA-SVM盐度预报模型的河口水环境决策支持系统.该系统实现了GA-SVM盐度预报模型与系统框架的无缝集成,提高了系统运行效率,方便了用户使用.

关键词(KeyWords)： 水文模型;盐度预报;河口水环境管理;决策支持系统

Abstract:

Keywords:

基金项目(Foundation): 福建省高校产学合作项目(2015Y4002);; 福建省教育厅资助项目(JA15731)

作者(Authors): 方艺辉;陈兴伟;

参考文献(References)：

• [1]SOETAERT K,VINCX M,WITTOECK J,et al.Meiobenthic distribution and nematode community structure in five European estuaries[J].Hydrobiologia,1995,311(1):185-206.
• [2]THOMAS A S,TRIS H W.Ecological responses to reductions in freshwater supply and quality in South Africa's estuaries:lessons for management and conservation[J].Journal of Coastal Conservation,1996,2(2):115-130.
• [3]NOWROOZI A A,HORROCKS S B,HENDERSON P.Saltwater intrusion into the freshwater aquifer in the eastern shore of Virginia:a reconnaissance electrical resistivity survey[J].Journal of Applied Geophysics,1999,42(1):1-22.
• [4]高广耀,王世卿.基于神经网络集成技术构建IDSS知识库的研究[J].计算机工程与设计,2005,26(8):2083-2085.
• [5]ZHANG D J,CHEN X W,YAO H X.Development of a prototype web-based decision support system for watershed management[J].Water,2015,7(2):780-793.
• [6]贾海峰,孔萌萌,郭羽,等.水环境决策支持系统框架下的密云水库水质模型[J].清华大学学报(自然科学版),2010,50(9):1383-1386.
• [7]倪建军,刘明华,任黎,等.强化学习在基于多主体模型决策支持系统中的应用——以湖泊水环境决策支持系统为例[J].系统工程理论与实践,2005,26(8):2083-2086.
• [8]郑琼,张新,陈永新,等.漳河流域水环境决策支持系统研究[J].测绘与空间地理信息,2015,38(7):57-62.
• [9]张俊耀,成筠,郑丙辉.基于Web GIS的河口水环境管理信息系统[J].计算机工程,2008,34(24):279-281.
• [10]刘夏明,李俊清,豆小敏,等.EFDC模型在河口水环境模拟中的应用及进展[J].环境科学与技术,2011,34(6G):136-140.
• [11]刘博元,范文慧,肖田元.决策支持系统研究现状分析[J].系统仿真学报,2011,23(增刊):241-244.
• [12]REDDY G S,GHOSH,S N.Aspects of a computational model for salinity variations in a well-mixed tidal reach[J].Water Science and Technology,1993,28(3/5):659-667.
• [13]VON SCHERENBERG N L,SEYLER H G P.Assessing the impact of saline intrusion with density dependent flow modelling for the fractured Peninsula Aquifer in Hermanus,South Africa[J].Water Science and Technology,2012,12(3):387-397.
• [14]CHEVALIER C,BAKLOUTI M,RAMAMONJARISOA A.Modeling the influence of wind and rivers on current,salinity and temperature over the French Guiana continental shelf during the rainy season[J].Journal of Coastal Research,2004,20(4):1183-1197.
• [15]许丹,孙志林,潘德炉.钱塘江河口盐度的神经网络模拟[J].浙江大学学报(理学版),2011,38(2):234-238.
• [16]FANG Y H,CHEN X W,CHENG N S.Estuary salinity prediction using a coupled GA-SVM model:a case study of the Min River Estuary,China[J].Water Science&Technology:Water Supply,2017,17(1):52-60.
• [17]熊秋芬,胡江林,陈永义.天空云量预报及支持向量机和神经网络方法比较研究[J].热带气象学报,2007,23(3):255-260.
• [18]YANG X G,ZHANG H J,ZHOU H L.A Hybrid methodology for salinity time series forecasting based on wavelet transform and narx neural networks[J].Arabian Journal for Science and Engineering,2014,39(10):6895-6905.
• [19]冯瑞,宋春林,张艳珠,等.基于支持向量机与RBF神经网络的软测量模型比较研究[J].上海交通大学学报,2003,37(增刊):122-125.
• [20]WANG L,ZHANG S.Incorporation of texture information in a SVM method for classifying salt cedar in western China[J].Remote Sensing Letters,2014,5(6):501-510.
• [21]ANIFOWOSE F,LABADIN J,ABDULRAHEEM A.Improving the prediction of petroleum reservoir characterization with a stacked generalization ensemble model of support vector machines[J].Applied Soft Computing,2015(26):483-496.
• [22]WHITLEY D.A genetic algorithm tutorial[J].Statistics and Computing,1994,4(2):65-85.
• [23]LI X Z,KONG J M.Application of GA-SVM method with parameter optimization for landslide development prediction[J].Natural Hazards and Earth System Sciences,2014,14(3):525-533.
• [24]HARISH N,LOKESHA,MANDAL S,et al.Parameter optimization using GA in SVM to predict damage level of non-reshaped berm breakwater[J].The International Journal of Ocean and Climate Systems,2014,5(2):79-88.
• [25]NGUYEN A D,SAVENIJE H H G.Salt intrusion in multi-channel estuaries:a case study in the Mekong Delta,Vietnam[J].Hydrology&Earth System Sciences,2006,3(2):743-754.
• [26]FEI Y J,XU L L,DU P J,et al.Analysis of characteristics of time-frequency correlations between runoff,tidal range and salinity in the Changjiang[J].Acta Oceanol Sin,2011,30(5):84-93.