还原修复材料性能测试数据集

包含课题2研发的6种还原修复材料对不同目标污染物去除效果的研究数据：考察了原料材料配比、原材料种类对还原修复材料去除污染物性能的影响；针对场地中氯代烃复合污染和氯代烃/硝基苯复合物优选出4种还原修复材料，第三方检测报告证明了材料的有效性。数据量12 MB。This dataset contains research data on the pollutant removal performance of six reductive remediation materials developed in Project 2 against various target pollutants. The effects of raw material ratio and type on the pollutant removal performance of these materials were investigated. Four reductive remediation materials were optimized for combined chlorinated hydrocarbon pollution and chlorinated hydrocarbon/nitrobenzene complex pollution in field sites, and their effectiveness was verified by third-party test reports. The total size of this dataset is 12 MB.

搜集汇总

背景与挑战

背景概述

该数据集聚焦于还原修复材料的性能测试，包含6种材料对不同污染物去除效果的研究数据，考察了材料配比和种类对性能的影响。针对氯代烃等复合污染，优选了4种材料，并通过第三方检测报告验证了其有效性，数据量约为12 MB。