项目名称: 基于数字土壤制图和误差传递分析的土壤质量评价研究
项目编号: No.41201216
项目类型: 青年科学基金项目
立项/批准年度: 2013
项目学科: 地理学
项目作者: 孙孝林
作者单位: 中山大学
项目金额: 25万元
中文摘要: 土壤信息用户经常需要复杂、难以测定的土壤功能评价、威胁分析、风险评估,例如土壤质量、土壤侵蚀、土壤污染等。数字土壤制图仅对单一土壤属性或类型制图,远不能满足这些需求。新近提出的数字土壤评价以数字土壤制图为基础,通过模型分析,提供用户自己设定的、容易理解和使用的土壤信息,同时提供误差估计,因此可以满足不同用户的土壤信息需求。以往的土壤质量评价研究忽视了信息所具有的误差,给土壤管理带来不准确性。本研究基于数字土壤评价理论,在面积约12平方公里的研究区内,首先利用数字土壤制图方法,对土壤质量指标制图,并使用随机模拟方法分析制图误差;然后建立土壤质量评价系统,并依据土壤质量指标图和随机模拟图评价土壤质量,同时分析评价结果中的误差及其来源,目的在于提供一套可以评估误差及其来源的土壤质量评价方法。
中文关键词: 数字土壤制图;数字土壤评价;不确定性;;
英文摘要: Soil information users usually demand for information of soil functions, soil threats and soil risks, such as soil quality, soil erosion,soil pollution. Digital soil mapping cannot meet this demand, because it produces information of individual soil properties and types only. In order to meet this demand, digital soil assessment was recently proposed based on digital soil mapping and modeling to generate information of soil attributes that are set by users and easy to understand and use, as well as associated errors. Hence, digital soil assessment can meet various kinds of soil informaiton demands. However, few studies on soil quality evaluation so far have accounted for associated errors. Based on the theory of digital soil assessment, this study would first use digital soil mapping techinques to map soil quality indicators in a study area of about 12 km2, where mapping errors would be characterized using stochastic simulation. Second, soil quality evaulation systems will be constructed to evaluate soil quality of the study area using the maps and simulations of soil quality indicators as inputs. At the same time, error of the evaluation result will be characaterized and error sources identified. The objective of this study is to develop a method of soil quality assessment, which can analyze associated error an
英文关键词: Digital soil mapping;Digital soil assessment;Uncertainty;;