宁夏引黄灌区土壤含水量蒙特卡洛方法检测的研究

发布时间：2018-03-13 20:20

本文选题：土壤含水量检测　切入点：图像灰度　出处：《节水灌溉》2017年08期 　论文类型：期刊论文

【摘要】：为探讨利用土壤图像灰度和蒙特卡洛方法结合测量土壤含水量的可行方法,以宁夏引黄灌区为研究区,采集土壤图像样本提取灰度数据,分析土壤图像灰度的概率分布,构建以土壤图像灰度值为输入土壤含水量为输出的数学模型,采用蒙特卡洛方法测量土壤含水量,对所得土壤含水量检测值与实测值进行精度验证对比。试验结果表明:(1)用蒙特卡洛方法测量土壤含水量,减少了复杂非线性模型的分析,减少计算一些附加的一阶或高阶灵敏度系数,降低计算量。(2)测量的精度取决于蒙特卡洛试验次数,当增加蒙特卡洛试验次数,土壤含水量测量值越精确。(3)对蒙特卡洛法所得测量值进行克里格插值制图分析土壤含水量的空间分布格局,从仿真结果看较为符合研究区土壤含水量的实际状况。
[Abstract]:In order to explore the feasible method of measuring soil water content by using soil image gray scale and Monte Carlo method, taking Ningxia Yellow River Irrigation area as study area, grayscale data were collected from soil image samples and the probability distribution of soil image grayscale was analyzed. A mathematical model with gray value of soil image as input and output of soil moisture was constructed, and Monte Carlo method was used to measure soil water content. The test results show that the Monte Carlo method is used to measure soil moisture content, which reduces the analysis of complex nonlinear model. The accuracy of the measurement depends on the number of Monte Carlo tests, when the number of Monte Carlo tests is increased. The more accurate the measurement value of soil water content is, the more accurate the measured value is by Monte Carlo method. The Kriging interpolation mapping is used to analyze the spatial distribution pattern of soil water content. The simulation results show that it accords with the actual situation of soil water content in the study area.
【作者单位】：北方民族大学电气信息工程学院;北方民族大学创新创业教育中心;
【基金】：宁夏自然科学基金资助项目(NZ16094) 宁夏高等学校科学研究资助项目(NGY2016142) 北方民族大学科学研究项目(2016DX006)
【分类号】：S152.7

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