基于GA-SVM鹽度預(yù)報(bào)模型的河口水環(huán)境決策支持系統(tǒng)
發(fā)布時(shí)間:2018-10-08 11:50
【摘要】:為了進(jìn)一步強(qiáng)化水文模型的模擬和預(yù)報(bào)能力,結(jié)合Web GIS技術(shù),采用B/S三層模式,探討了框架實(shí)現(xiàn)的若干關(guān)鍵技術(shù),構(gòu)建了一個(gè)高效的河口水環(huán)境管理決策支持系統(tǒng)框架.以閩江河口鹽度預(yù)報(bào)為例,將前期研發(fā)的GA-SVM鹽度預(yù)報(bào)模型以緊密方式集成到系統(tǒng)框架中,開發(fā)了基于GA-SVM鹽度預(yù)報(bào)模型的河口水環(huán)境決策支持系統(tǒng).該系統(tǒng)實(shí)現(xiàn)了GA-SVM鹽度預(yù)報(bào)模型與系統(tǒng)框架的無(wú)縫集成,提高了系統(tǒng)運(yùn)行效率,方便了用戶使用.
[Abstract]:In order to further enhance the simulation and forecast ability of hydrological model, combining with Web GIS technology, this paper discusses some key technologies of the framework, and constructs an efficient framework of decision support system for estuarine water environment management by using the B / S three-layer model. Taking the salinity prediction of Minjiang River estuary as an example, the GA-SVM salinity prediction model developed in the previous period is integrated into the system framework in a compact way, and a estuarine water environment decision support system based on GA-SVM salinity prediction model is developed. The system realizes the seamless integration of the GA-SVM salinity prediction model and the system framework, improves the operating efficiency of the system, and facilitates the use of the system.
【作者單位】: 福建商學(xué)院信息管理工程系;福建師范大學(xué)地理科學(xué)學(xué)院;濕潤(rùn)亞熱帶山地生態(tài)國(guó)家重點(diǎn)實(shí)驗(yàn)室培育基地;
【基金】:福建省高校產(chǎn)學(xué)合作項(xiàng)目(2015Y4002) 福建省教育廳資助項(xiàng)目(JA15731)
【分類號(hào)】:P338;TP311.52
本文編號(hào):2256636
[Abstract]:In order to further enhance the simulation and forecast ability of hydrological model, combining with Web GIS technology, this paper discusses some key technologies of the framework, and constructs an efficient framework of decision support system for estuarine water environment management by using the B / S three-layer model. Taking the salinity prediction of Minjiang River estuary as an example, the GA-SVM salinity prediction model developed in the previous period is integrated into the system framework in a compact way, and a estuarine water environment decision support system based on GA-SVM salinity prediction model is developed. The system realizes the seamless integration of the GA-SVM salinity prediction model and the system framework, improves the operating efficiency of the system, and facilitates the use of the system.
【作者單位】: 福建商學(xué)院信息管理工程系;福建師范大學(xué)地理科學(xué)學(xué)院;濕潤(rùn)亞熱帶山地生態(tài)國(guó)家重點(diǎn)實(shí)驗(yàn)室培育基地;
【基金】:福建省高校產(chǎn)學(xué)合作項(xiàng)目(2015Y4002) 福建省教育廳資助項(xiàng)目(JA15731)
【分類號(hào)】:P338;TP311.52
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