本文選題：地下水 + 表層土壤　； 參考：《干旱區(qū)研究》2017年06期

【摘要】：選擇合適的插值預(yù)測(cè)模型對(duì)揭示干旱區(qū)綠洲地下水與表層土壤特征空間變化特征具有重要意義。根據(jù)克里雅綠洲實(shí)測(cè)地下水(埋深、電導(dǎo)率、水溫)與表層土壤(含水率、電導(dǎo)率、土溫)數(shù)據(jù),系統(tǒng)評(píng)價(jià)不同空間插值方法(RBF、IDW、Ordinary Kriging)對(duì)不同特征預(yù)測(cè)精度的影響。結(jié)果表明:克里雅綠洲區(qū)域地下水埋深主要在3 m以下,電導(dǎo)率在5 m S·cm-1以下,溫度在15℃以下;表層土壤含水量主要在0.5以下,電導(dǎo)率在2.5 m S·cm-1以下,溫度在13℃以下。地下水埋深采用RBF插值的精度較高,電導(dǎo)率采用IDW的精度較高,水溫采用RBF的精度較高;表層土壤含水率采用Kriging插值的精度較高,電導(dǎo)率采用RBF的精度較高,土溫采用RBF的精度較高;除土壤含水率外,其余指標(biāo)采用對(duì)數(shù)轉(zhuǎn)化后插值精度較高。
[Abstract]:It is of great significance to select the appropriate interpolation prediction model to reveal the spatial variation characteristics of groundwater and topsoil in oasis in arid area. Based on the measured data of groundwater (buried depth, conductivity, water temperature) and surface soil (water content, conductivity, soil temperature), the effects of different spatial interpolation methods (RBF / IDW ordinary Kriging) on the prediction accuracy of different characteristics were systematically evaluated. The results show that the groundwater depth is below 3 m, the conductivity is below 5 Ms cm-1, and the temperature is below 15 鈩，

本文編號(hào)：2095369