Key Laboratory of Urban Stormwater System and Water Environment, Ministry of Education, Beijing University of Civil Engineering and Architecture, Beijing, 100044, China.
NO.1 Design and Research Institute, Qingdao Tengyuan Design Institute CO.,LTD., Qingdao, 266101, China.
J Environ Manage. 2022 Oct 15;320:115958. doi: 10.1016/j.jenvman.2022.115958. Epub 2022 Aug 21.
Mixtures of N, N-bis(carboxymethyl)-L-glutamic acid tetrasodium salt (GLDA) with citric acid (CA), glutamic acid (GLU), and aspartic acid (ASP) at the optimal proportion of 1:1, 1:2, and 2:1, respectively. They were employed for heavy metal removal from the sludge. The removal rate of common heavy metals (Cu, Pb, Zn, Ni, Cr, and Cd) and the retention degree of nutrients (total nitrogen, total phosphorus, available-N, Olsen-P, and organic matter) in the treated sludge were analyzed. Fuzzy comprehensive evaluation of the sludge was performed using MATLAB to determine the agricultural grade of the sludge. The sludge after GLDA-acid treatment was mixed with soil at different proportions, and Chinese cabbage, cucumber, and wheat were cultured. SPSS was used for survival analysis to analyze the feasibility of the sludge agriculture. The results showed that the optimal ratio of GLDA-CA and GLDA-GLU was 1:2 and that of GLDA-ASP was 1:1. After GLDA-acid treatment, the sludge was classified as Grade A agricultural sludge based on MATLAB fuzzy comprehensive evaluation and analysis. When the amount of sludge added was 20%, the growth of Chinese cabbage, cucumber, and wheat was promoted. Survival analysis further proved that the amount of sludge only affected the median germination time. Without considering the economic benefits, GLDA-acid can be preferred for sludge treatment, which can not only effectively remove heavy metals in sludge, but also have a small impact on agricultural use.
分别将 N,N-双(羧甲基)-L-谷氨酸四钠盐(GLDA)与柠檬酸(CA)、谷氨酸(GLU)和天门冬氨酸(ASP)按 1:1、1:2 和 2:1 的最佳比例混合。 它们被用于从污泥中去除重金属。分析了常见重金属(Cu、Pb、Zn、Ni、Cr 和 Cd)的去除率和处理污泥中养分(总氮、总磷、有效-N、Olsen-P 和有机物)的保留程度。使用 MATLAB 对污泥进行模糊综合评价,以确定污泥的农用等级。GLDA-酸处理后的污泥与土壤以不同比例混合,种植了白菜、黄瓜和小麦。使用 SPSS 进行生存分析,以分析污泥农业的可行性。结果表明,GLDA-CA 和 GLDA-GLU 的最佳比例为 1:2,GLDA-ASP 的最佳比例为 1:1。经 GLDA-酸处理后,根据 MATLAB 模糊综合评价和分析,污泥被归类为 A 级农用污泥。当添加的污泥量为 20%时,白菜、黄瓜和小麦的生长得到促进。生存分析进一步证明,污泥量仅影响中值发芽时间。不考虑经济效益,GLDA-酸可优先用于污泥处理,既能有效去除污泥中的重金属,又对农业利用影响较小。