Influence of arsenic and boron on the water quality index in mining stressed catchments of Emet and Orhaneli streams (Turkey)

Emet and Orhaneli stream basins are characterized by intense mining of colemanite, the main borate mineral in the area. Unlike other global borate deposits, the colemanite of this region contains arsenic minerals (realgar and orpiment). Undoubtedly, improper management of mine wastes causes pollutio...

Full description

Saved in:
Bibliographic Details
Published in:Environmental monitoring and assessment 2019-04, Vol.191 (4), p.199-16, Article 199
Main Authors: Omwene, Philip Isaac, Öncel, Mehmet Salim, Çelen, Meltem, Kobya, Mehmet
Format: Article
Language:English
Subjects:
Arsenic
Arsenic trisulfide
Atmospheric Protection/Air Quality Control/Air Pollution
Biota
Borate minerals
Boron
Catchment area
Catchments
Creeks & streams
Earth and Environmental Science
Ecology
Ecotoxicology
Environment
Environmental Management
Environmental monitoring
Environmental science
Exploration
Fluvial deposits
Geochemistry
Geographic information systems
Geographical information systems
Information systems
Mine wastes
Mineral exploration
Mineral resources
Minerals
Mining
Monitoring/Environmental Analysis
Nodules
Pollutants
Quality assessment
Resource management
River basins
Rivers
Satellite navigation systems
Stream pollution
Streams
Temporal variations
Water pollution
Water quality
Water resources
Weathering
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Emet and Orhaneli stream basins are characterized by intense mining of colemanite, the main borate mineral in the area. Unlike other global borate deposits, the colemanite of this region contains arsenic minerals (realgar and orpiment). Undoubtedly, improper management of mine wastes causes pollution of water resources, affecting human life and biota. In the present study, spatial and temporal variation in water quality of Emet and Orhaneli streams was assessed. The water quality index (WQI) model was used to rate the overall status of the water, and geographical information systems (GIS) was used to aid the visualization of results. No significant differences in WQIs for the three-monitoring periods (March, July and October 2017) were noted. The WQI in the region is highly influenced by arsenic (As) and boron (B), with a strong positive correlation ( p  
ISSN:0167-6369
1573-2959
DOI:10.1007/s10661-019-7337-z