【摘要】：本文對(duì)土壤墑情診斷理論和方法進(jìn)行了簡(jiǎn)述,并介紹了國(guó)內(nèi)墑情監(jiān)測(cè)、診斷和預(yù)報(bào)現(xiàn)狀。重點(diǎn)介紹了所建立的平衡法、統(tǒng)計(jì)法、差減統(tǒng)計(jì)法、比值統(tǒng)計(jì)法、間隔天數(shù)統(tǒng)計(jì)法、移動(dòng)統(tǒng)計(jì)法6個(gè)獨(dú)立的墑情診斷模型及其聯(lián)合應(yīng)用的綜合診斷模型。應(yīng)用2012—2014年7省23個(gè)縣87個(gè)監(jiān)測(cè)點(diǎn)的數(shù)據(jù)建模,并應(yīng)用2015年的數(shù)據(jù)進(jìn)行了驗(yàn)證。結(jié)果表明:所有模型構(gòu)建簡(jiǎn)單,參數(shù)獲得容易;綜合模型優(yōu)于6個(gè)獨(dú)立模型。所建立的6個(gè)獨(dú)立模型和綜合模型適用于基于降水量的土壤墑情診斷和預(yù)測(cè)。
[Abstract]:This paper briefly introduces the theory and method of soil moisture diagnosis, and introduces the current situation of soil moisture monitoring, diagnosis and prediction in China. Six independent soil moisture diagnosis models and their combined diagnosis models are introduced in this paper, which are balance method, statistical method, subtractive method, ratio statistic method, interval statistics method and mobile statistics method. The data of 87 monitoring sites in 23 counties of 7 provinces from 2012 to 2014 were used to model the data, and the data from 2015 were used to verify the data. The results show that all the models are simple to construct and easy to obtain parameters, and the synthetic model is superior to the six independent models. The six independent models and comprehensive models are suitable for the diagnosis and prediction of soil moisture based on precipitation.
【作者單位】： 農(nóng)業(yè)部環(huán)境保護(hù)科研監(jiān)測(cè)所;北部灣環(huán)境演變與資源利用教育部重點(diǎn)實(shí)驗(yàn)室(廣西師范學(xué)院)廣西地表過程與智能模擬重點(diǎn)實(shí)驗(yàn)室(廣西師范學(xué)院);
【基金】：“中國(guó)農(nóng)業(yè)科學(xué)院科技創(chuàng)新工程”項(xiàng)目(2016-cxgc-hyl) 天津市科技支撐計(jì)劃項(xiàng)目(15ZCZDNC00700) 全國(guó)農(nóng)業(yè)技術(shù)推廣中心節(jié)水處項(xiàng)目(2016-hx-hyl-5) 廣西科技開發(fā)項(xiàng)目(14125008-2-24)資助
【分類號(hào)】：S152.7
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本文編號(hào)：2431336