场地污染源精准识别及其与环境交互关系分析模型数据集

以污染源汇关系解析与监测指标体系以及专题二开展的场地污染物监测筛选技术研究成果为基础，构建基于本体的监测对象与外部要素知识层次模型，实现典型场地不同污染情景多要素复杂条件下的监测对象与外部要素特征及关系的科学表达。根据不同的数据来源及特征，包括观测数据、机理模型和经验知识等，制定分类与编码的原则，对其进行统一的表达与规范化处理，使数据能在数据库里被高效、准确地检索分析。应确保每一个要素在全域范围内有唯一的“身份证”，在同样一个实物基准里满足后续进行的关联分析。针对不同研究人员所需要的不同类型、粒度、精度的数据，形成任务驱动的数据获取模式。数据量38.65KB。

Based on the analysis of pollution source-sink relationships, the monitoring index system, and the research outcomes of site pollutant monitoring and screening technologies conducted in Topic 2, an ontology-based hierarchical knowledge model for monitoring objects and external factors was constructed to scientifically express the characteristics and interrelationships between monitoring objects and external factors under complex multi-factor conditions across different pollution scenarios at typical sites. Classification and coding principles were formulated according to different data sources and characteristics, including observational data, mechanistic models and empirical knowledge, followed by unified representation and standardized processing to enable efficient and accurate retrieval and analysis of the data in the database. Each element is guaranteed to have a unique "ID" across the entire domain, so as to satisfy the requirements of subsequent correlation analysis under the same physical benchmark. A task-driven data acquisition mode was established to cater to the data demands of varying types, granularities and precision required by different researchers. The total data volume is 38.65 KB.