Heavy metal loss from agricultural watershed to aquatic system: A scientometrics review
文献类型: 外文期刊
第一作者: Ouyang, Wei
作者: Ouyang, Wei;Wang, Yidi;Lin, Chunye;He, Mengchang;Hao, Fanghua;Liu, Hongbin;Zhu, Weihong;Zhu, Weihong
作者机构:
关键词: Heavy metal; CiteSpace; Agricultural system; Aquatic environment; Diffuse pollution; China
期刊名称:SCIENCE OF THE TOTAL ENVIRONMENT ( 影响因子:7.963; 五年影响因子:7.842 )
ISSN: 0048-9697
年卷期: 2018 年 637 卷
页码:
收录情况: SCI
摘要: Heavy metal pollution in soil and aquatic environments has attracted widespread attention due to its persistence, accumulation in the food chain and negative effects on ecological and human health. However, analyses of the watershed-scale migration mechanisms of heavy metal loss from agricultural systems to aquatic systems have seldom been studied systematically. Therefore, this review summarizes the available data in the literature (2003-2017) using CiteSpace software to provide insights into the specific characteristics of heavy metal loss from agricultural watersheds to aquatic systems and consequently shows global development trends that scientists can use for establishing future research directions. As opposed to traditional review articles by experts, this study provides a new method for quantitatively visualizing information about the development of this field over the past decade. The results indicate that among all countries, China was the most active contributor with the most publications and cooperated the most with other countries. In addition, most articles were classified as environmental sciences and ecology, environmental sciences or agricultural studies. Furthermore, based on a keyword co-word analysis by CiteSpace, it was concluded that erosion-linked transport of heavy metals was the most influencing factor of mitigation mechanism. Additionally, the migration characteristics of heavy metals in farmland soils and water under the complex environment impacts of various factors such as climate change and land-use changes were of great significance that future studies should focus on. (C) 2018 Elsevier B.V. All rights reserved.
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