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作 者:李开渊 贾蓓[1] 王睿博[2] 张一驰[3] 王鹏 王东东[1] Li Kaiyuan Jia Bei Wang Ruibo Zhang Yichi Wang Peng Wang Dongdong(College of Mining Engineering, Taiyuan University of Technology, Taiyuan 030024, China State Key Laboratory of Resources And Environmental Information System, Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences, Beijing 100101, China Institute of Geographic Sciences and Natural Resources Research, Key Lab of Water Cycle and Related Land Surface Processes, CAS, Beijing 100101, China Shanxi Jia Hao Mapping Group Ltd , Taiyuan 030009, China)
机构地区:[1]太原理工大学矿业工程学院,山西太原030024 [2]中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室,北京100101 [3]中国科学院地理科学与资源研究所陆地水循环及地表过程重点实验室,北京100101 [4]山西家豪测绘集团有限公司,太原030009
出 处:《中国农业资源与区划》2016年第6期8-14,共7页Chinese Journal of Agricultural Resources and Regional Planning
基 金:国家自然科学基金面上项目"极端干旱区植被对水环境变化的响应研究"(41371059)
摘 要:随着计算机技术的不断发展,三维可视化技术被应用到农业、气象、林业、煤矿、灾害等多个领域,但是,三维可视化技术往往被应用于宏观三维场景,很少会被用于微观要素的三维可视化。近些年来土壤数据的空间化研究和分析成为3S技术的研究热点之一,该次研究主要基于GIS、GPS技术和地统计学方法,选择吉林省梨树县,从县级尺度研究该县土壤养分的空间分布,对研究区已采集的874个土样样本中全氮、全磷、全钾和有机质土壤养分含量进行空间分布特征的研究;通过SPSS 19中的K-S法对养分含量正态分布检验,利用GS+Version 9.0的半方差模型对土壤样本中服从正态分布的养分含量进行拟合,进而对土壤养分含量的空间变异性进行了分析。在掌握土壤养分空间分布状况的基础上,通过实现土壤养分含量的三维空间可视化,研究分析了养分含量分布与地形的关系,三维空间模型的建立使得土壤养分状况的分析更加深入、直观。文章最后指出,土壤养分空间分布及三维可视化技术对实现农业与生态环境的可持续发展具有重要意义。With the continuous development of computer technology,the 3D visualization technology has been widely applied to various fields such as agriculture,meteorology,forestry,coal mining,disaster,and so on. However,3D visualization technology is more often applied to 3D scene in macroscopic view,but less used in3 D visualization of the micro elements. In recent years,the space research and analysis of soil data has become one of the hot spots in the research of 3S technology. In the paper,Lishu County of Jilin Province was chosen as a case to study the spatial distribution of the soil nutrient content in the county scale. Based on the GIS,GPS technology,together with the geo-statistics method,the spatial distribution of the soil nutrients,i. e.,the total nitrogen,the total phosphorus,the total potassium and the organic soil nutrient content,of the 874 soil samples were collected in the study area. The normal distribution of sampling points was tested by the K-S method in IBM SPSS Statistics software. By fitting the nutrient content accorded the normal distribution by using the semi variance model of various types of GS + Version 9. 0,the spatial variation of soil nutrient content was analyzed. Finally,it analyzed the relationship between the distribution of nutrient content and the terrain through the realization of the 3D visualization for the space distribution of soil nutrient content. The three-dimensional spatial model promoted the analysis of the soil nutrient space distribution status. The result verified that the 3D spatial model can provide abundant information for the spatial distribution of soil nutrients and the study of potential disciplines. In conclusion,the application of 3D visualization technology in soil nutrient spatial distribution will be of vital importance to realize the sustainable development of agriculture and ecological environment.
分 类 号:S158[农业科学—土壤学] S126[农业科学—农业基础科学]
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