本文關(guān)鍵詞：西南典型巖溶區(qū)土壤硒空間分布預(yù)測(cè)　出處：《農(nóng)業(yè)工程學(xué)報(bào)》2016年22期 　論文類型：期刊論文

  更多相關(guān)文章： 土壤 硒 模型 化學(xué)行為 協(xié)同克里格 地理加權(quán)回歸模型 空間分布預(yù)測(cè) 桂林永福

【摘要】：土壤硒精準(zhǔn)預(yù)測(cè)和制圖是富硒土壤資源開發(fā)利用和環(huán)境規(guī)劃管理的基礎(chǔ)。該文以西南典型巖溶區(qū)桂林永福百壽河流域?yàn)槔?在分析影響土壤硒化學(xué)行為因子的基礎(chǔ)上,通過(guò)野外樣品采集和室內(nèi)化學(xué)分析以及Arc GIS空間分析,獲取了研究區(qū)相關(guān)地理環(huán)境因子和土壤屬性因子數(shù)據(jù)。利用逐步回歸方法選擇土壤硒空間分布預(yù)測(cè)的輔助變量,使用協(xié)同克里格模型對(duì)非連續(xù)分布的輔助變量進(jìn)行插值。在此基礎(chǔ)上利用地理加權(quán)回歸模型對(duì)土壤硒空間分布進(jìn)行預(yù)測(cè),同時(shí)以普通克里格插值結(jié)果作為參照。研究結(jié)果表明:使用地理環(huán)境因子和影響土壤硒化學(xué)行為的土壤屬性因子可以提高土壤硒預(yù)測(cè)精度;協(xié)同克里格插值解決了輔助變量數(shù)據(jù)連續(xù)分布的問(wèn)題;土壤硒的空間分布與地形和影響土壤硒化學(xué)行為的因子有關(guān)。
[Abstract]:The accurate prediction and mapping of soil selenium is the basis of the exploitation and utilization of selenium-enriched soil resources and environmental planning and management. This paper takes the Yongfu Beshouhe River Basin of Guilin as an example. Based on the analysis of influencing factors of soil selenium chemical behavior, field sample collection, indoor chemical analysis and Arc GIS spatial analysis were carried out. The data of geographical and environmental factors and soil attribute factors in the study area were obtained, and the auxiliary variables of soil selenium spatial distribution prediction were selected by stepwise regression method. The cooperative Kriging model was used to interpolate the auxiliary variables of discontinuous distribution, and the geographical weighted regression model was used to predict the spatial distribution of soil selenium. The results show that the precision of soil selenium prediction can be improved by using geographical environment factors and soil attribute factors which affect the chemical behavior of soil selenium. Cooperative Kriging interpolation solves the problem of continuous distribution of auxiliary variable data. The spatial distribution of soil selenium is related to the topography and the factors affecting the chemical behavior of soil selenium.
【作者單位】： 華中農(nóng)業(yè)大學(xué)資源與環(huán)境學(xué)院;桂林理工大學(xué)地球科學(xué)學(xué)院;
【基金】：國(guó)家自然科學(xué)基金資助項(xiàng)目(41261082)
【分類號(hào)】：S153.6
【正文快照】： 邵亞,王毅偉,蔡崇法,楊順華,張海濤.西南典型巖溶區(qū)土壤硒空間分布預(yù)測(cè)[J].農(nóng)業(yè)工程學(xué)報(bào),2016,32(22):178-183.doi:10.11975/j.issn.1002-6819.2016.22.024 http://www.tcsae.orgShao Ya,Wang Yiwei,Cai Chongfa,Yang Shunhua,Zhang Haitao.Prediction on spatial distributio，

本文編號(hào)：1389270