2020
DOI: 10.1016/j.jenvman.2020.110478
|View full text |Cite
|
Sign up to set email alerts
|

Assessment of mining activity on arsenic contamination in surface water and sediments in southwestern area of Santurbán paramo, Colombia

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

2
17
0
7

Year Published

2020
2020
2024
2024

Publication Types

Select...
5
3

Relationship

0
8

Authors

Journals

citations
Cited by 58 publications
(29 citation statements)
references
References 36 publications
2
17
0
7
Order By: Relevance
“…Colombia is the country with the largest Páramos area, representing around 50% of the total area in the world [26]. However, this ecosystem is highly impacted by human actions, such as the pressure of pastoral and agricultural activities that threaten these wetlands [27];…”
Section: Study Area: the Bogotá River Basinmentioning
confidence: 99%
“…Colombia is the country with the largest Páramos area, representing around 50% of the total area in the world [26]. However, this ecosystem is highly impacted by human actions, such as the pressure of pastoral and agricultural activities that threaten these wetlands [27];…”
Section: Study Area: the Bogotá River Basinmentioning
confidence: 99%
“…The common pollution indexes for studying the heavy metal concentrations in soil include: the enrichment factor [ 21 , 22 , 23 ], the geoaccumulation Index [ 22 , 24 , 25 ], the Nemerow pollution index [ 26 , 27 , 28 ], the potential ecological risk index [ 25 , 27 ], and the biogeochemical index [ 29 ]. Geostatistics has been proven to be one of the most effective methods for analyzing the spatial distribution of heavy metals in soil and for evaluating the quality of cultivated land.…”
Section: Introductionmentioning
confidence: 99%
“…Ha et al (2014) used the Kriging method and GIS technology to interpolate the nonpoint sources of heavy metal pollution and analyze their distribution characteristics [34]. Multivariate statistical analyses [25,35], principal component analysis [34,36], hierarchical cluster analysis [24,37], and cluster analysis [21] are also widely used in soil heavy metal evaluation. Marrugo-Negrete et al (2017) used multivariate statistical analysis, principal component analysis, and cluster analysis to show that soil pollution was mainly caused by agricultural activities along the Sinu River Basin, Colombia [38].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Besides geogenic sources [7][8][9][10], industrial, landfill [11], agricultural, and mining [12,13] activities have also substantially contributed to the contamination of soils and groundwater with As over several decades, making it the third most common regulated inorganic contaminant to be detected at U.S. Superfund sites [14]. The accidental leakage of As compounds into soils and, consequently, into groundwater has been widely reported for a wide range of settings [12,[15][16][17][18]. In addition, the contamination of marine environments represents an increasing global concern because of the potential risks to both human health and along the coast heavily affecting the marine ecosystems [19].…”
Section: Introductionmentioning
confidence: 99%