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日本一座遗留矿山中锰和锌的中试规模被动处理的地球化学见解与模型优化

Geochemical insights and model optimisation for pilot-scale passive treatment of manganese and zinc in a legacy mine in Japan.

作者信息

Tum Sereyroith, Katayama Taiki, Miyata Naoyuki, Watanabe Miho, Hashimoto Yohey, Nishikata Miu, Yasutaka Tetsuo

机构信息

Institute for Geo-Resources and Environment, Geological Survey of Japan, National Institute of Advanced Industrial Science and Technology (AIST), 1-1-1 Central 7, Higashi, 305-8567, Tsukuba, Ibaraki, Japan.

Department of Biological Environment, Akita Prefectural University, 241-438, Shimoshinjo-Nakano, 010-0195, Akita, Japan.

出版信息

Heliyon. 2024 Nov 13;10(22):e40363. doi: 10.1016/j.heliyon.2024.e40363. eCollection 2024 Nov 30.

Abstract

Elevated concentrations of manganese (Mn) and zinc (Zn) in water bodies can disrupt ecosystems and damage aquatic life. However, the mechanisms underlying the removal of Mn and Zn under dynamic conditions and the optimal hydraulic retention time (HRT) for passive treatment plants remain unclear. Here, a pilot-scale passive treatment system for the removal of Mn and Zn from legacy mine drainage in northern Japan is proposed; it was performed at circumneutral pH for 152 days. Comprehensive suspended solid mineralogy analyses and geochemical and numerical modelling were conducted to optimise the passive treatment efficiency. Mn removal (efficiency reaching 98 %) primarily depended on the activity of Mn-oxidising bacteria. Zn removal involved Zn co-precipitation with birnessite combined with adsorption or ion exchange on the birnessite surface. The inverse numerical model successfully determined the Mn oxidation rate constant, Zn mass transfer coefficient, and Zn distribution coefficient. Under dynamic conditions, HRT emerged as a key factor underlying the pilot-scale passive treatment efficiency. An HRT of 0.5 days led to optimal Mn and Zn removal conditions and achieved values lower than the Japanese national effluent limit. The findings provide crucial information for passive treatment strategy development and environmental management, especially when considering real-scale implementation.

摘要

水体中锰(Mn)和锌(Zn)浓度升高会破坏生态系统并损害水生生物。然而,动态条件下去除锰和锌的潜在机制以及被动处理厂的最佳水力停留时间(HRT)仍不清楚。在此,提出了一种中试规模的被动处理系统,用于去除日本北部遗留矿山排水中的锰和锌;该系统在接近中性的pH值下运行了152天。进行了全面的悬浮固体矿物学分析以及地球化学和数值模拟,以优化被动处理效率。锰的去除(效率达到98%)主要取决于锰氧化细菌的活性。锌的去除涉及锌与水钠锰矿的共沉淀以及在水钠锰矿表面的吸附或离子交换。反向数值模型成功确定了锰的氧化速率常数、锌的传质系数和锌的分配系数。在动态条件下,水力停留时间成为中试规模被动处理效率的关键因素。0.5天的水力停留时间导致了最佳的锰和锌去除条件,并达到了低于日本国家排放标准的值。这些发现为被动处理策略的制定和环境管理提供了关键信息,尤其是在考虑实际规模实施时。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d041/11616510/bebc6898a352/ga1.jpg

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