Environmental behavior, human health effect, and pollution control of heavy metal(loid)s toward full life cycle processes

被引:62
作者
Deng, Haoyu [1 ]
Tu, Yuling [1 ]
Wang, Han [1 ,2 ]
Wang, Ziyi [1 ]
Li, Yanyu [1 ]
Chai, Liyuan [1 ,2 ]
Zhang, Wenchao [1 ,2 ]
Lin, Zhang [1 ,2 ,3 ]
机构
[1] Cent South Univ, Sch Met & Environm, Changsha 410083, Peoples R China
[2] Chinese Natl Engn Res Ctr Control & Treatment Heav, Changsha 410083, Peoples R China
[3] South China Univ Technol, Sch Environm & Energy, Guangdong Prov Key Lab Solid Wastes Pollut Control, Guangzhou 510006, Guangdong, Peoples R China
来源
ECO-ENVIRONMENT & HEALTH | 2022年 / 1卷 / 04期
基金
中国国家自然科学基金;
关键词
Heavy metal(loid)s; Full life cycle; Toxicity; Environment; Pollution control; PRINTED-CIRCUIT BOARDS; INCINERATION FLY-ASH; THALLIUM CONTAMINATION; MAGNETIC SEPARATION; PARTICULATE MATTER; ELEMENTAL MERCURY; COPPER RECOVERY; DRINKING-WATER; PARTICLE-SIZE; TRACE-METALS;
D O I
10.1016/j.eehl.2022.11.003
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Heavy metal(loid)s (HMs) have caused serious environmental pollution and health risks. Although the past few years have witnessed the achievements of studies on environmental behavior of HMs, the related toxicity mechanisms, and pollution control, their relationship remains a mystery. Researchers generally focused on one topic independently without comprehensive considerations due to the knowledge gap between environmental science and human health. Indeed, the full life cycle control of HMs is crucial and should be reconsidered with the combination of the occurrence, transport, and fate of HMs in the environment. Therefore, we started by reviewing the environmental behaviors of HMs which are affected by a variety of natural factors as well as their physicochemical properties. Furthermore, the related toxicity mechanisms were discussed according to exposure route, toxicity mechanism, and adverse consequences. In addition, the current state-of-the-art of available technologies for pollution control of HMs wastewater and solid wastes were summarized. Finally, based on the research trend, we proposed that advanced in-operando characterizations will help us better understand the fundamental reaction mechanisms, and big data analysis approaches will aid in establishing the prediction model for risk management.
引用
收藏
页码:229 / 243
页数:15
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