武穴市耕地质量监控样点布设研究
发布时间：2018-08-18 11:53
【摘要】：近年来我国的耕地面积正在跌至最低要求线,粮食的产量在很大程度上是受耕地的数量和质量所决定的。目前看来,增加粮食产量最合理的方法是保护耕地质量与数量,并进行集约利用。本文以武穴市农用地分等成果和农用地产能核算成果为基础,探讨了研究区域耕地在1：10000空间尺度下耕地质量监测样点的布设方法,在这里运用了变异函数理论模型的有关内容,科学地算出变异函数半径,并对研究区域进行了划分,并结合等别类型和利用类型对监测样点的布设进行优化,进而确定监测样点数量与位置。然后运用普通克里格方法对样点进行适当的修正,较为准确的反映了武穴市耕地质量等级情况。通过一系列的测试后可知,本文按照模型选择的监测样点是可以满足需求的。具体研究结论如下：1.在监测区划定原则与方法的基础之上,划分了自然质量分区、耕地收益水平分区以及耕地利用水平分区,并且采用ArcGIS等软件技术,将这三个分区进行按图层叠加处理,从而确定15个不同的监测控制区。2.在1：10000的空间尺寸下研究耕地空间变异规律,运用变异函数理论及其方法,确定样点的空间相关性,并分析其变异方向。本文研究表明,武穴市耕地质量监测样点主要的空间异质性变化方向是南北方向。运用软件ArcGIS进行分析验证,研究结果显示,高斯模型下计算出来的标准均方根误差最接近于1,由此可以判断出,本文需要采用高斯模型进行变异拟合。3.本文根据耕地样点监测的重点和任务,结合武穴市当地的实际耕地特点以及气候情况,在武穴市共选取了97个耕地监测样点,动态监测样点为16个,固定监测样点81个。4.通过分析研究区域所布设的监测样点等别覆盖情况,表明在各研究区域布设的监测样点,基本覆盖了武穴市耕地所有的自然等别、利用等别以及经济等别,其选取的监测样点比例和耕地面积的比例较相似,这也说明了样点的选取具有较强的代表性。运用普通克里格方法对所布设的监测样点进行检验,验证结果表明插值精确度高。
[Abstract]:In recent years, the area of cultivated land in China is falling to the minimum required line, and the grain yield is largely determined by the quantity and quality of cultivated land. At present, the most reasonable way to increase grain production is to protect the quality and quantity of cultivated land and make intensive use. In this paper, based on the results of agricultural land classification and productivity accounting in Wuchan City, this paper discusses the method of setting up the sampling points for monitoring the quality of cultivated land on the scale of 1: 10000 in the regional cultivated land. In this paper, using the relevant contents of the theory model of variogram, the radius of the variable function is scientifically calculated, and the study area is divided, and the layout of the monitoring sample is optimized with the combination of the different types and the use of the types. Furthermore, the number and location of monitoring samples are determined. Then the common Kriging method is used to correct the sample points, which accurately reflects the quality grade of cultivated land in Wucao City. After a series of tests, the monitoring samples selected in this paper can meet the requirements. The specific conclusions are as follows: 1. On the basis of the principle and method of monitoring regionalization, this paper divides the natural quality partition, the cultivated land income level partition and the cultivated land utilization level partition, and adopts the software technology such as ArcGIS, carries on the superposition processing according to the map layer. Thus, 15 different monitoring control areas. 2. 2. The spatial variation law of cultivated land is studied under the space size of 1: 10000. The spatial correlation of the sample points is determined by using the theory of variation function and its method, and the variation direction is analyzed. This paper shows that the main spatial heterogeneity of the cultivated land quality monitoring sample in Wucao City is the north and south direction. The results show that the standard root mean square error calculated under the Gao Si model is the closest to 1. It can be concluded that this paper needs to use the Gao Si model to carry out variation fitting. 3. According to the emphasis and task of cultivated land sample monitoring, combined with the local characteristics of cultivated land and climate situation, 97 cultivated land monitoring samples were selected in this paper. There were 16 dynamic monitoring sites and 81 fixed monitoring sites. By analyzing the monitoring samples and other coverage in the study area, it is shown that the monitoring samples laid in each research area basically cover all the natural, utilization and economic categories of cultivated land in Wucao City. The proportion of monitoring sample and the proportion of cultivated land area are similar, which also shows that the sample selection has a strong representativeness. The common Kriging method is used to test the monitoring samples, and the results show that the interpolation accuracy is high.
【学位授予单位】：华中师范大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：F323.211
本文编号：2189392
[Abstract]:In recent years, the area of cultivated land in China is falling to the minimum required line, and the grain yield is largely determined by the quantity and quality of cultivated land. At present, the most reasonable way to increase grain production is to protect the quality and quantity of cultivated land and make intensive use. In this paper, based on the results of agricultural land classification and productivity accounting in Wuchan City, this paper discusses the method of setting up the sampling points for monitoring the quality of cultivated land on the scale of 1: 10000 in the regional cultivated land. In this paper, using the relevant contents of the theory model of variogram, the radius of the variable function is scientifically calculated, and the study area is divided, and the layout of the monitoring sample is optimized with the combination of the different types and the use of the types. Furthermore, the number and location of monitoring samples are determined. Then the common Kriging method is used to correct the sample points, which accurately reflects the quality grade of cultivated land in Wucao City. After a series of tests, the monitoring samples selected in this paper can meet the requirements. The specific conclusions are as follows: 1. On the basis of the principle and method of monitoring regionalization, this paper divides the natural quality partition, the cultivated land income level partition and the cultivated land utilization level partition, and adopts the software technology such as ArcGIS, carries on the superposition processing according to the map layer. Thus, 15 different monitoring control areas. 2. 2. The spatial variation law of cultivated land is studied under the space size of 1: 10000. The spatial correlation of the sample points is determined by using the theory of variation function and its method, and the variation direction is analyzed. This paper shows that the main spatial heterogeneity of the cultivated land quality monitoring sample in Wucao City is the north and south direction. The results show that the standard root mean square error calculated under the Gao Si model is the closest to 1. It can be concluded that this paper needs to use the Gao Si model to carry out variation fitting. 3. According to the emphasis and task of cultivated land sample monitoring, combined with the local characteristics of cultivated land and climate situation, 97 cultivated land monitoring samples were selected in this paper. There were 16 dynamic monitoring sites and 81 fixed monitoring sites. By analyzing the monitoring samples and other coverage in the study area, it is shown that the monitoring samples laid in each research area basically cover all the natural, utilization and economic categories of cultivated land in Wucao City. The proportion of monitoring sample and the proportion of cultivated land area are similar, which also shows that the sample selection has a strong representativeness. The common Kriging method is used to test the monitoring samples, and the results show that the interpolation accuracy is high.
【学位授予单位】：华中师范大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：F323.211
【参考文献】
相关期刊论文 前2条
1 王霞;朱道林;;基于Kriging方法和GIS技术的地价时空格局研究[J];重庆建筑大学学报;2007年01期
2 任振辉;吴宝忠;;精细农业中最佳土壤采样间距确定方法的研究[J];农机化研究;2006年06期
，本文编号：2189392
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