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基于地统计空间插值的三维辐射场重构研究 被引量:1
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作者 龙泽宇 宋佩涛 +4 位作者 冯青靓 李华 韦加富 刘瑞文 牛瑨博 《辐射防护通讯》 2023年第5期18-24,共7页
针对源项未知情况下的三维辐射场获取问题,根据辐射场具有空间自相关性的特点,利用地统计空间插值中结合对数变换的普通克里金方法来进行辐射场重构。通过两个实测的辐射场数据集对该方法进行了测试,结果表明,该方法在选取Exponential... 针对源项未知情况下的三维辐射场获取问题,根据辐射场具有空间自相关性的特点,利用地统计空间插值中结合对数变换的普通克里金方法来进行辐射场重构。通过两个实测的辐射场数据集对该方法进行了测试,结果表明,该方法在选取Exponential模型或Spherical模型来进行半方差拟合,且测量点为随机选取的情况下,其重构结果平均偏差的平均值为21.51%~74.01%,证明了该方法在实际应用中具有一定的有效性和可行性。另外,对测量点分布情况与辐射场重构准确性之间的关系进行了初步分析,确定了测量点的分布应尽可能均匀的选取方案。 展开更多
关键词 三维辐射场 地统计插值 克里金方法
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基于地统计学丰林自然保护区森林生物量估测及空间格局分析 被引量:32
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作者 刘晓梅 布仁仓 +3 位作者 邓华卫 胡远满 刘志华 吴志伟 《生态学报》 CAS CSCD 北大核心 2011年第16期4783-4790,共8页
基于丰林保护区1997年样地调查数据,根据一元生物量估测模型,计算样地生物量,在此基础上,利用ArcGIS地统计插值方法得到整个研究区森林生物量分布,并从林分结构(林型、林龄组)和地形因子(海拔、坡度、坡向)两个方面对保护区森林生物量... 基于丰林保护区1997年样地调查数据,根据一元生物量估测模型,计算样地生物量,在此基础上,利用ArcGIS地统计插值方法得到整个研究区森林生物量分布,并从林分结构(林型、林龄组)和地形因子(海拔、坡度、坡向)两个方面对保护区森林生物量空间格局进行了分析。结果表明,利用地统计插值得到区域水平的森林生物量是可行的,保护区森林平均生物量水平为171.5t/hm2,总生物量为3.08Tg(1Tg=1012g);不同林分结构(林型、林龄组)有不同的生物量水平;地形因子与生物量有显著的相关性,并得到它们之间的回归方程,为保护区森林生态系统的可持续经营提供了科学依据。 展开更多
关键词 生物量 地统计插值 空间格局分析 丰林保护区
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缺资料地区降雨量空间插值方法比较 被引量:1
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作者 李治军 王华凡 +1 位作者 侯岳 黄佳俊 《水利科学与寒区工程》 2022年第8期68-71,共4页
为探求适用于缺资料地区降雨量空间插值的方法,以黑龙江省东北部地区为研究对象,基于各县区9个气象站点的观测数据,运用插值计算中的确定性法和地统计法,借助ArcGIS中的分析工具,计算不同雨量条件下各种方法的插值结果,经交叉验证,优选... 为探求适用于缺资料地区降雨量空间插值的方法,以黑龙江省东北部地区为研究对象,基于各县区9个气象站点的观测数据,运用插值计算中的确定性法和地统计法,借助ArcGIS中的分析工具,计算不同雨量条件下各种方法的插值结果,经交叉验证,优选出适用于年、月和场次降雨量等不同情况下的插值方法。结果表明,普通克里金法在年和场次降雨插值中,误差最小;考虑高程因素的协同克里金法在月降雨插值中,效果最佳;确定性插值方法计算出的结果误差较大,插值输出表面平滑度较低。故在利用较少样本点进行插值计算时,使用复杂度更高和考虑空间自相关性更全面的地统计插值法会得到较好的结果。 展开更多
关键词 缺资料地区 降雨量插值 确定性插值 地统计插值
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盆周山地土地整理生态安全评价研究——以四川省雅安市上里镇为例 被引量:1
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作者 蒋明成 谢川 +2 位作者 张莉 夏建国 欧定华 《安徽农业科学》 CAS 2012年第28期14037-14041,14048,共6页
遵循压力-状态-响应(PSR)框架模型和指标选取一般原则,采用层次分析法拟定盆周山地土地整理生态安全评价指标体系,运用Delphi法筛选指标,最终建立盆周山地土地整理生态安全评价指标体系;运用主成分分析和ArcGIS地统计插值相结合的方法... 遵循压力-状态-响应(PSR)框架模型和指标选取一般原则,采用层次分析法拟定盆周山地土地整理生态安全评价指标体系,运用Delphi法筛选指标,最终建立盆周山地土地整理生态安全评价指标体系;运用主成分分析和ArcGIS地统计插值相结合的方法对研究区土地整理前后的生态安全进行评价。以四川省雅安市雨城区上里镇土地整理项目为例,进行土地整理前后生态安全评价,评价结果表明:研究区生态安全等级提高,土地整理前项目区92.62%生态安全等级为Ⅱ级,7.38%为Ⅲ级,土地整理后生态安全等级全处于Ⅱ级;研究区生态安全等级提高幅度不大,土地整理前最低分值非常接近Ⅱ级与Ⅲ级的阀值,土地整理后分值靠近Ⅱ级的下限;评价结果与实际相符。该评价指标体系和方法对四川盆地盆周山地土地整理生态安全评价具有一定的指导意义。 展开更多
关键词 盆周山地 土地整理 生态安全评价 ArcGIS地统计插值 主成分分析 四川省
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采样尺度对土壤养分空间变异分析的影响 被引量:43
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作者 潘瑜春 刘巧芹 +2 位作者 阎波杰 陆洲 周艳兵 《土壤通报》 CAS CSCD 北大核心 2010年第2期257-262,共6页
以高密度土壤养分采样数据为数据源,通过随机抽取生成不同采样尺度的样点数据,分析采样尺度对土壤养分空间变异特征分析的影响。研究结果表明:区域土壤养分预测均值随采样尺度减小呈下降趋势,而变异系数增加;养分空间分布的全局趋势随... 以高密度土壤养分采样数据为数据源,通过随机抽取生成不同采样尺度的样点数据,分析采样尺度对土壤养分空间变异特征分析的影响。研究结果表明:区域土壤养分预测均值随采样尺度减小呈下降趋势,而变异系数增加;养分空间分布的全局趋势随采样尺度增大而增强,但不影响半方差模型;当采样尺度较大,样点间自相关较弱时,相对较少的样点也能满足区域统计参数估测分析需要,但不能用于空间变异特征和插值分析;当样点数大于最佳采样数时,养分统计参数、空间变异特征和插值分析随着采样尺度减小而精度提高,当采样尺度达到0.2左右时,能够满足中等空间变异的土壤养分空间插值分析需要;样点空间布局对相关距和空间插值分析精度的影响比采样尺度本身更为显著。 展开更多
关键词 土壤养分 采样尺度 统计参数估测 空间变异特征分析 地统计空间插值
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Spatial Variability Analysis of Soil Nutrients Based on GIS and Geostatistics:A Case Study of Yisa Township, Yunnan, China 被引量:12
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作者 李静 闵庆文 +3 位作者 李文华 白艳莹 Dhruba Bijaya G.C. 袁正 《Journal of Resources and Ecology》 CSCD 2014年第4期348-355,共8页
Hani rice terraces system is one of the Globaly Important Agricultural Heritage Systems (GIAHS) pilot sites selected by FAO. Soil nutrients are an important symbol of soil fertility, and play an important role in th... Hani rice terraces system is one of the Globaly Important Agricultural Heritage Systems (GIAHS) pilot sites selected by FAO. Soil nutrients are an important symbol of soil fertility, and play an important role in the sustainable utilization of land. Based on geo-statistics and GIS, the spatial variation of pH, organic matter, total nitrogen, alkaline hydrolyzable nitrogen, available phosphorus and available potassium in the soil in Yisa (a town in Honghe County, Yunnan Province) was studied. The results show that the spatial variability of pH, organic matter, total nitrogen, alkaline hydrolyzable nitrogen and available potassium exhibited medium spatial variability, and the coefficients of variation are 12.54%, 40.14%, 40.00%, 34.89%, and 40.00% respectively. Available phosphorus exhibited strong spatial variability, and the coefifcient of variation is 102.13%. The spatial variation of pH, organic matter, total nitrogen, alkaline hydrolyzable nitrogen and available potassium fit the index mode, however, the spatial variation of available phosphorus ifts the spherical model. Total nitrogen, available phosphorus and available potassium were greatly affected by soil structural factors, while pH, organic matter and alkaline hydrolyzable nitrogen were affected by both structural and random factors. The spatial distribution of soil nutrients in Yisa was intuitively characterized by Kriging interpolation. It is very important to understand the spatial distribution of soil nutrients, which wil provide the guidance for adjusting agricultural management measures such as fertilization. 展开更多
关键词 spatial analysis geo-statistics soil nutrients KRIGING Hani rice terraces system GIAHS
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Spatial Patterns of Soil Organic Matter,Nitrogen,Phosphorus and Potassium in a Subtropical Forest and Its Implication for Forest Management 被引量:3
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作者 HAN Lili LU Yuanchang +1 位作者 MA Wu MENG Jinghui 《Journal of Resources and Ecology》 CSCD 2022年第3期417-427,共11页
Total nitrogen(TN),total phosphorus(TP),total potassium(TK),and soil organic matter(OM)can significantly affect forest growth.However,these soil properties are spatially heterogeneously distributed,complicating the pr... Total nitrogen(TN),total phosphorus(TP),total potassium(TK),and soil organic matter(OM)can significantly affect forest growth.However,these soil properties are spatially heterogeneously distributed,complicating the prescription of forest management strategies.Thus,it is imperative to obtain an in-depth understanding of the spatial distribution of soil properties.In this study,soils were sampled at 181 locations in the Tropical Forest Research Center in the southwestern Guangxi Zhuang Autonomous Region in southern China.We investigated the spatial variability of soil OM,TN,TP,and TK using geostatistical analysis.The nugget to sill ratio indicated a strong spatial dependence of soil TN and a moderate spatial dependence of soil OM,TP,and TK,suggesting that TN was primarily controlled by intrinsic factors(e.g.,soil texture,parent material,vegetation type,and topography),whereas soil OM,TP,and TK were controlled by intrinsic and extrinsic factors(e.g.,cultivation practices,fertilization,and planting systems).Based on the spatial variability determined by the geostatistical analysis,we performed ordinary kriging to create thematic maps of soil TN,TP,TK,and OM.Model validation indicated that the thematic maps were reliable to inform forest management. 展开更多
关键词 soil properties spatial distribution geostatistical analysis ordinary kriging spatial interpolation
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Spatial Variability of Soil Salinization and Alkalization in the Northern Plain Irrigation Area of Yinchuan,Ningxia
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作者 NIU Zilu SONG Chunling +6 位作者 WANG Lei QI Tuoye CHEN Maosheng JIANG Shuting ZHANG Li XU Lizhen LIU Jia 《Journal of Resources and Ecology》 2025年第1期148-158,共11页
Soil salinization is a type of soil degradation phenomenon caused by the gradual accumulation of salt in soil due to natural processes or improper irrigation practices.Understanding the spatial variations of salinizat... Soil salinization is a type of soil degradation phenomenon caused by the gradual accumulation of salt in soil due to natural processes or improper irrigation practices.Understanding the spatial variations of salinization is the basis for salinized land management and resource utilization.Taking Yinbei Plain irrigation area of Ningxia as the research area,154 sampling points were set up and soil samples were collected at depths from 0-100 cm in six layers to determine the pH value and total salt content of the soil.Then geostatistics and GIS were used to study the spatial variations of soil pH and total salt content in the irrigation area.The results show three important aspects of this system.(1)The soil in the study area is alkaline soil with pH values ranging from 8.18 to 10.22,and the pH increases with increasing soil depth.The pH values of soil at 0-10 cm are significantly higher than at depths of 10-20 cm and 20-80 cm(P<0.05).The variation coefficients of the soil pH value in each layer are less than 10%,which is characterized as weak variability.The total salt content of soil decreases with increasing soil depth,ranging from 0.24 to 14.95 g kg^(-1).The total salt content of soil in the surface layer at 0-10 cm was significantly higher than in the lower soil layers(P<0.05).The coefficient of variation of total salt content showed moderate variability except at depths of 10-20 cm and 80-100 cm.Other layers have variabilities of more than 100%,indicating strong variability.(2)The semi-variance function fitting of pH and total salt showed that the soil pH value in each soil layer depth block base ratio ranged from 28.1%to 61.2%,which indicates a medium spatial correlation,and the spatial variability was mainly influenced by the joint action of human activities and natural factors.The total salt block base ratio of each soil layer ranged from 5.5%to 13.3%,which indicates strong spatial autocorrelation.The variation among soil samples is mainly caused by natural structural factors such as parent material,topography,soil and groundwater level.(3)Kriging interpolation was used to obtain the spatial distribution of soil pH values and total salt contents in the study area,and the results showed that the overall pH distribution was high on the eastern and western sides and low in the middle.The total salt distribution was patchy and uneven,and the saline soil was mainly distributed in the surface layer.As the depth increased,the total salt content declined,and the proportions of saline soil and severely salinized soil decreased.In the whole study area,mild salinized soil was the main category,the total salt content increased from south to north,and the profile characteristics of total salt content were mainly surface clustering.This study investigated the distribution and spatial heterogeneity of soil salinization in the Yinbei Irrigation Area,and provides theoretical guidance for the formulation of soil salinization control measures in this area. 展开更多
关键词 soil total salt soil pH geostatistics Kriging interpolation spatial variation the northern plain irrigation area of Yinchuan
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