The spatiotemporal variation in heavy metals in China's farmland soil over the past 20 years: A meta-analysis

污染 环境科学 中国 Mercury(编程语言) 土壤水分 环境修复 环境保护 环境工程 土壤科学 土壤污染 污染 地理 生态学 生物 考古 冶金 材料科学 程序设计语言 计算机科学
作者
Shuyi Ren,Changqing Song,Sijing Ye,Changxiu Cheng,Peichao Gao
出处
期刊:Science of The Total Environment [Elsevier]
卷期号:806: 150322-150322 被引量:144
标识
DOI:10.1016/j.scitotenv.2021.150322
摘要

Accurate information on farmland soil heavy metal elements is needed for pollution management and strategic decision making at the national level. In this paper, we review the Chinese literature on soil heavy metal elements (i.e., arsenic, cadmium, chromium, copper, lead, mercury, and zinc) over the past 20 years using meta-analysis. The overall pollution status, spatiotemporal distribution patterns and driving factors of heavy metals in China's farmland soil are explored by using the geoaccumulation index, the standard deviation ellipse method and the PCA/APCS model, respectively. The results show that most heavy metals in farmland soil from the study cases are similar to the world average. Seven types of elements have increased compared with background values. Cd and Hg have become the top polluting elements in China and industrial and agricultural activities are the main sources of current heavy metal element enrichment. Regional natural-social-economic differences have led to significant spatial heterogeneity of heavy metal pollution, showing an intensity pattern unfavourable to national food security. In the time period, the overall distribution range gradually increased with the accelerated growth of regional industrial output, and there was a tendency for the gravity centre of the pollution studies to migrate inland to the northwest and southwest. Regionally differentiated environmental regulation and pollution remediation measures should be developed for pollution prevention and control in the future.
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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
WJ_Breakdown完成签到,获得积分10
1秒前
温暖眼神完成签到,获得积分10
1秒前
GLZ6984完成签到,获得积分10
2秒前
犹豫的夏旋完成签到 ,获得积分10
4秒前
路过的骑士完成签到 ,获得积分10
4秒前
姜姜完成签到 ,获得积分10
5秒前
5秒前
6秒前
Akim应助随便叫什么采纳,获得30
6秒前
6秒前
丰富青完成签到,获得积分10
7秒前
8秒前
梧wu完成签到,获得积分20
9秒前
马路发布了新的文献求助10
9秒前
9秒前
10秒前
称心嵩发布了新的文献求助30
10秒前
10秒前
苏素肃发布了新的文献求助10
11秒前
丘比特应助贪玩的笑阳采纳,获得10
12秒前
13秒前
13秒前
梧wu发布了新的文献求助10
13秒前
海风发布了新的文献求助10
14秒前
swing发布了新的文献求助10
14秒前
扣子发布了新的文献求助10
14秒前
15秒前
酷波er应助大地采纳,获得10
16秒前
17秒前
小七发布了新的文献求助10
17秒前
罗洛乐发布了新的文献求助20
19秒前
顾矜应助忧郁绣连采纳,获得10
19秒前
苏素肃完成签到,获得积分10
19秒前
鱼鱼完成签到 ,获得积分10
20秒前
20秒前
Owen应助Fjj采纳,获得10
21秒前
roclie完成签到,获得积分10
22秒前
lml520完成签到,获得积分10
22秒前
伶俐的大雁完成签到,获得积分10
22秒前
23秒前
高分求助中
Kinetics of the Esterification Between 2-[(4-hydroxybutoxy)carbonyl] Benzoic Acid with 1,4-Butanediol: Tetrabutyl Orthotitanate as Catalyst 1000
The Young builders of New china : the visit of the delegation of the WFDY to the Chinese People's Republic 1000
Rechtsphilosophie 1000
Bayesian Models of Cognition:Reverse Engineering the Mind 888
Very-high-order BVD Schemes Using β-variable THINC Method 568
Chen Hansheng: China’s Last Romantic Revolutionary 500
XAFS for Everyone 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3138178
求助须知:如何正确求助?哪些是违规求助? 2789056
关于积分的说明 7790034
捐赠科研通 2445505
什么是DOI,文献DOI怎么找? 1300440
科研通“疑难数据库(出版商)”最低求助积分说明 625925
版权声明 601046