Spatial and temporal variations in environmental impacts of heavy metal emissions from China's non-ferrous industry: An enterprise-specific assessment

环境科学 中国 环境保护 环境质量 空气质量指数 生态系统 人类健康 环境影响评价 环境工程 地理 生态学 气象学 环境卫生 考古 生物 医学
作者
Kai Li,Ranhao Sun,Guanghui Guo
出处
期刊:Science of The Total Environment [Elsevier]
卷期号:929: 172770-172770
标识
DOI:10.1016/j.scitotenv.2024.172770
摘要

In China, the non-ferrous metal industry is the sector with the highest emissions of arsenic, cadmium, mercury and lead, causing serious impacts on human health and the ecosystem. However, current heavy metal emission inventories are inadequate for figuring out their exposures and associated environmental impacts due to the lack of detailed data. Here, we constructed a high-resolution, enterprise-specific, and long-term dataset detailing heavy metal emissions from the non-ferrous industry in China from 1981 to 2020, using comprehensive enterprise information. Furthermore, an environmental impact assessment was performed using the characterization factors of the IMPACT World + model. Results show that: (1) from 1981 to 2020, the total heavy metal emissions of China's non-ferrous industry reached 144,697 tons (t), with atmospheric emissions (104,524 t) exceeding aquatic ones (40,173 t). (2) The industry's emissions showed a rising and then declining trend, with significant spatial heterogeneity, where heavy metal emissions concentrated in the central and western parts of Yunnan, the southern part of Hunan, the northern part of Guangxi, Henan along the Yellow River, the intersection of Gansu and Shaanxi, the central and eastern parts of Liaoning, and the eastern part of Inner Mongolia. (3) The environmental impact on human health was 1.19 × 107 DALY, and the value of ecosystem quality was 7.26 × 109 species·yr. The top 10 % of enterprises with the largest environmental impacts contributed over 60 % of human health risks and 62 % of ecosystem quality impacts. Improving the removal efficiency of heavy metals by 10 % within the four major industry classes could lead to a 9.92 % reduction in human health impacts and a 9.77 % reduction in ecosystem quality impacts within the non-ferrous metals industry. The findings of this study can provide insights for pollution control, environmental risk reduction, and sustainable development in the non-ferrous metals industry.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
11111完成签到,获得积分20
刚刚
仔wang完成签到,获得积分10
刚刚
2秒前
忘羡222发布了新的文献求助20
2秒前
2秒前
温暖涫完成签到,获得积分10
4秒前
11111发布了新的文献求助10
4秒前
健忘的牛排完成签到,获得积分10
5秒前
wmmm完成签到,获得积分10
5秒前
Akim应助爱吃泡芙采纳,获得10
5秒前
老迟到的书雁完成签到 ,获得积分10
5秒前
5秒前
正经俠发布了新的文献求助10
6秒前
6秒前
7秒前
7秒前
学科共进完成签到,获得积分10
8秒前
百草27完成签到,获得积分10
8秒前
9秒前
10秒前
11秒前
绵马紫萁发布了新的文献求助10
11秒前
12秒前
fzhou完成签到 ,获得积分10
12秒前
尘雾发布了新的文献求助10
12秒前
13秒前
一一发布了新的文献求助20
13秒前
13秒前
Aixia完成签到 ,获得积分10
14秒前
葡萄糖完成签到,获得积分10
14秒前
哈哈完成签到,获得积分10
14秒前
在水一方应助CC采纳,获得10
14秒前
14秒前
余笙完成签到 ,获得积分10
15秒前
神勇的雅香应助科研混子采纳,获得10
15秒前
TT发布了新的文献求助10
16秒前
李顺完成签到,获得积分20
17秒前
ayin发布了新的文献求助10
17秒前
wait发布了新的文献求助10
17秒前
我是站长才怪应助xg采纳,获得10
18秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527990
求助须知:如何正确求助?哪些是违规求助? 3108173
关于积分的说明 9287913
捐赠科研通 2805882
什么是DOI,文献DOI怎么找? 1540119
邀请新用户注册赠送积分活动 716941
科研通“疑难数据库(出版商)”最低求助积分说明 709824