Volume 22, Issue 2 (Summer 2018)                   jwss 2018, 22(2): 53-66 | Back to browse issues page

XML Persian Abstract Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Touzandejani M, Soffianin A, Mirghafari N. Arsenic Contamination Risk Assessment in Hamedan Plain-Spring Using the Fuzzy Method. jwss 2018; 22 (2) :53-66
URL: http://jstnar.iut.ac.ir/article-1-3200-en.html
1. Department of Environment, Faculty of Natural Resources, Isfahan University of Technology, Isfahan, Iran. , m.touzandejani91@gmail.com
Abstract:   (7578 Views)
Among the heavy metals, arsenic is known as a carcinogen material and its high concentrations in the ecosystem can be a major concern for public health and environment. The aim of this study was to evaluate the risk map of arsenic contamination and the possibility of its entering into the food chain using the fuzzy method in the central part of the Hamedan-Bahar plain. For this purpose, arsenic concentration in 94 points of groundwater and 49 points of surface soil was analyzed and evaluated in the study area. Soil physico-chemical parameters (clay, organic matter and pH), soil and groundwater contamination probability map, and land use map were selected as the input of this method. In the fuzzy method, two operators (and & or) were used. In order to standardize the parameters, the fuzzy linear function was used. Comparing the classified risk assessment using these operators showed that the results of the operator had the maximum trust. So in areas where concentrations of arsenic in soil and groundwater were high, the physico-chemical parameters such as pH, organic matter and clay content of the soil were low and agriculture products had a high ability to absorb heavy metals and ensure its better to use for the operator.
Full-Text [PDF 733 kb]   (2160 Downloads)    
Type of Study: Research | Subject: Ggeneral
Received: 2016/01/16 | Accepted: 2017/06/11 | Published: 2018/09/15

Add your comments about this article : Your username or Email:

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | JWSS - Isfahan University of Technology

Designed & Developed by : Yektaweb