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農(nóng)產(chǎn)品產(chǎn)地環(huán)境質(zhì)量預(yù)測(cè)系統(tǒng)設(shè)計(jì)
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國(guó)家高技術(shù)研究發(fā)展計(jì)劃(863計(jì)劃)資助項(xiàng)目(2011AA100704)


Forecast System for Origin Environment Quality of Agricultural Product
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    摘要:

    基于數(shù)據(jù)庫(kù)技術(shù)、ArcGIS Server技術(shù)、Flex技術(shù)及模型理論構(gòu)建了農(nóng)產(chǎn)品產(chǎn)地環(huán)境質(zhì)量污染預(yù)測(cè)系統(tǒng)。該平臺(tái)以VS 2008、Flash builder 4.6為開發(fā)環(huán)境,實(shí)現(xiàn)了農(nóng)產(chǎn)品產(chǎn)地環(huán)境信息的查詢、環(huán)境污染物的空間分析以及農(nóng)產(chǎn)品產(chǎn)地環(huán)境污染預(yù)測(cè)等功能。根據(jù)農(nóng)產(chǎn)品產(chǎn)地重金屬污染的時(shí)間序列特征,采用指數(shù)平滑預(yù)測(cè)模型對(duì)土壤重金屬的污染進(jìn)行了預(yù)測(cè)。在對(duì)2010年1月~2013年4月重金屬監(jiān)測(cè)數(shù)據(jù)分析的基礎(chǔ)上,建立了6種重金屬濃度預(yù)測(cè)模型。研究結(jié)果表明,指數(shù)平滑預(yù)測(cè)模型能較好地?cái)M合重金屬污染變化規(guī)律,預(yù)測(cè)精度在90%左右。

    Abstract:

    Forecast system for origin environment quality of agricultural product was proposed based on the database technology, ArcGIS Server, Flex and model theory. Taking VS 2008 and Flash builder 4.6 as the development environment, the proposed system could be used for the query of agricultural environmental information, the spatial analysis of pollutant information, and the forecasting of farmland environmental pollution. Based on the time series characteristics of heavy metal pollution in origin environment, exponential smoothing forecasting model was built to predict the heavy metal pollution. According to the monitoring data of heavy metals from January 2010 to April 2013, six kinds of heavy metals concentration prediction models were established. The analysis results showed that the prediction accuracy of models were around 90%, which meant that the exponential smoothing model could better fit the variation of heavy metal pollution.

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詠梅,張漫,王圣偉,劉剛.農(nóng)產(chǎn)品產(chǎn)地環(huán)境質(zhì)量預(yù)測(cè)系統(tǒng)設(shè)計(jì)[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2013,44(Supp2):226-230. Yong Mei, Zhang Man, Wang Shengwei, Liu Gang. Forecast System for Origin Environment Quality of Agricultural Product[J]. Transactions of the Chinese Society for Agricultural Machinery,2013,44(Supp2):226-230.

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  • 在線發(fā)布日期: 2013-10-21
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