农业工程学报
農業工程學報
농업공정학보
2009年
11期
109-113
,共5页
张同娟%杨劲松%刘广明%姚荣江
張同娟%楊勁鬆%劉廣明%姚榮江
장동연%양경송%류엄명%요영강
解译%盐度测量%土壤%长江河口地区%底聚型盐分剖面%电磁感应仪EM38
解譯%鹽度測量%土壤%長江河口地區%底聚型鹽分剖麵%電磁感應儀EM38
해역%염도측량%토양%장강하구지구%저취형염분부면%전자감응의EM38
interpretation%salinity measurement%soils%Yangtze River estuary area%normal salinity profile types%electromagnetic induction EM38
针对长江河口地区存在的盐渍化问题,以该地区分布较广泛的底聚型盐分剖面类型为研究对象,通过电磁感应仪EM38测量与田间采样,建立了磁感式表观电导率和土壤电导率之间的多元回归模型.在分析土壤盐分剖面分布特征的基础上提出了Logistic模型,并运用该模型对盐分剖面进行了参数拟合和验证.结果表明:磁感式表观电导率水平读数和垂直读数呈极显著线性相关,回归模型和Logistic模型均具有很好的预测效果.通过模型精度检验,二者的预测精度差异不显著,但Logistic模型所需参数少,表明该文提出的Logistic模型不仅能降低待估参数数量,同时还具有较高的预测精度.该研究结果为利用电磁感应仪快速、精确地进行土壤盐分预测及土壤次生盐渍化的防控提供了一定的理论参考.
針對長江河口地區存在的鹽漬化問題,以該地區分佈較廣汎的底聚型鹽分剖麵類型為研究對象,通過電磁感應儀EM38測量與田間採樣,建立瞭磁感式錶觀電導率和土壤電導率之間的多元迴歸模型.在分析土壤鹽分剖麵分佈特徵的基礎上提齣瞭Logistic模型,併運用該模型對鹽分剖麵進行瞭參數擬閤和驗證.結果錶明:磁感式錶觀電導率水平讀數和垂直讀數呈極顯著線性相關,迴歸模型和Logistic模型均具有很好的預測效果.通過模型精度檢驗,二者的預測精度差異不顯著,但Logistic模型所需參數少,錶明該文提齣的Logistic模型不僅能降低待估參數數量,同時還具有較高的預測精度.該研究結果為利用電磁感應儀快速、精確地進行土壤鹽分預測及土壤次生鹽漬化的防控提供瞭一定的理論參攷.
침대장강하구지구존재적염지화문제,이해지구분포교엄범적저취형염분부면류형위연구대상,통과전자감응의EM38측량여전간채양,건립료자감식표관전도솔화토양전도솔지간적다원회귀모형.재분석토양염분부면분포특정적기출상제출료Logistic모형,병운용해모형대염분부면진행료삼수의합화험증.결과표명:자감식표관전도솔수평독수화수직독수정겁현저선성상관,회귀모형화Logistic모형균구유흔호적예측효과.통과모형정도검험,이자적예측정도차이불현저,단Logistic모형소수삼수소,표명해문제출적Logistic모형불부능강저대고삼수수량,동시환구유교고적예측정도.해연구결과위이용전자감응의쾌속、정학지진행토양염분예측급토양차생염지화적방공제공료일정적이론삼고.
Aiming at the problem of soil salinization in Yangtze River estuary area, normal salinity profile type extensively distributed in the area were studied. Multiple linear regression model between apparent electrical conductivity and soil electrical conductivity was established by using EM38 measurement and field sampling. Based on the analyses of soil salinity profile characteristics, Logistic model was propounded and fitted for all calibration salinity profiles, and the obtained Logistic model was then used to test the validation salinity profiles. The results showed that the horizontal value of electromagnetic apparent electrical conductivity was linearly correlated with the vertical value significantly. Both linear regression model and Logistic model exhibited high precision in simulated and predicted soil salinity. Prediction accuracy between them was statistically insignificant by the model accuracy test, but the Logistic model needed fewer parameters. The study suggested that the Logistic model proposed in this paper could not only reduce the amount of parameters but also had highly predicted precision. The research results can serve as a theoretical reference to the rapid and accurate assessment of soil salinity and the prevention of soil secondary salinization using electromagnetic induction.