固废资源化技术评价案例数据集

高质量、全面性的数据缺乏和系统化评价手段的不足是目前固体废弃物领域研究的主要问题。本研究针对固废资源化数据来源分散、数据质量参差不齐、技术评价主观指标居多、缺乏共识评价方法和标准等问题，建立涵盖固废特征、资源化技术等内容的多源复合数据库及多维绩效评价模型。本课题不仅支撑固废专项“固废资源化技术多维绩效测评研究与集成应用”的方法学和数据基础，也为我国固废领域研究和行业管理提供全面性信息和系统化评价方法。

The scarcity of high-quality, comprehensive data and the insufficiency of systematic evaluation methods are major pressing issues in current solid waste research. Aiming at the problems such as scattered data sources, uneven data quality, over-reliance on subjective indicators for technical evaluation, and the lack of consensus-based evaluation methods and standards in the field of solid waste resource utilization, this study establishes a multi-source composite database covering solid waste characteristics, resource utilization technologies and other related contents, as well as a multi-dimensional performance evaluation model. This research not only lays the methodological and data foundation for the national solid waste special project "Research and Integrated Application of Multi-dimensional Performance Evaluation of Solid Waste Resource Utilization Technologies", but also provides comprehensive information and systematic evaluation methods for solid waste-related research and industrial management in China.

搜集汇总

背景与挑战

背景概述

该数据集是一个针对固体废弃物资源化技术评价的案例集合，旨在解决该领域数据分散、评价主观性强的问题，通过建立多源数据库和多维绩效模型来支持技术测评研究。数据集包含69个文件，总容量63.24MB，格式多样，由中国科学院生态环境研究中心发布，隶属于国家重点研发计划项目，为固废资源化研究和行业管理提供系统化信息和方法支撑。