ASSESSMENT OF ARSENIC CONTAMINATION PROBABILITY OF GROUNDWATER IN HAMEDAN- BAHAR BASIN USING GEOSTATISTICAL METHODS

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TOUZANDEJANI M.; SOFFIANIAN A.; MIRGHAFFARI N.; SOLEIMANI M.

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ISSN: 2588-4824

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Journal: Journal of Water and Soil Year:2017 | Volume:31 | Issue:3 Page(s): 874-885

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Title

ASSESSMENT OF ARSENIC CONTAMINATION PROBABILITY OF GROUNDWATER IN HAMEDAN- BAHAR BASIN USING GEOSTATISTICAL METHODS

Author(s)

TOUZANDEJANI M. | SOFFIANIAN A. | MIRGHAFFARI N. | SOLEIMANI M. | Issue Writer Certificate

Keywords

CARCINOGENIC METALLOIDSQ1

INDICATOR KRIGINGQ1

RADIAL BASIC FUNCTIONQ1

SPATIAL DISTRIBUTIONQ2

Abstract

Introduction: All living organisms, such as plants, animals and humans depends on the water and life may exist in a place where water is available. Groundwater is the main source of drinking water for more than 5.1 billion people around the world, especially in arid and semi- arid regions such as Iran. Currently, groundwater provided about 60 percent of the worlds drinking water and 77.8 percent of the Iran's drinking water. In recent years, it has been found that groundwater quality is also important as much as its quantity. …

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APA: Copy

TOUZANDEJANI, M., SOFFIANIAN, A., MIRGHAFFARI, N., & SOLEIMANI, M.. (2017). ASSESSMENT OF ARSENIC CONTAMINATION PROBABILITY OF GROUNDWATER IN HAMEDAN- BAHAR BASIN USING GEOSTATISTICAL METHODS. JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY), 31(3 ), 874-885. SID. https://sid.ir/paper/141612/en

Vancouver: Copy

TOUZANDEJANI M., SOFFIANIAN A., MIRGHAFFARI N., SOLEIMANI M.. ASSESSMENT OF ARSENIC CONTAMINATION PROBABILITY OF GROUNDWATER IN HAMEDAN- BAHAR BASIN USING GEOSTATISTICAL METHODS. JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY)[Internet]. 2017;31(3 ):874-885. Available from: https://sid.ir/paper/141612/en

IEEE: Copy

M. TOUZANDEJANI, A. SOFFIANIAN, N. MIRGHAFFARI, and M. SOLEIMANI, “ASSESSMENT OF ARSENIC CONTAMINATION PROBABILITY OF GROUNDWATER IN HAMEDAN- BAHAR BASIN USING GEOSTATISTICAL METHODS,” JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY), vol. 31, no. 3 , pp. 874–885, 2017, [Online]. Available: https://sid.ir/paper/141612/en

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