Using geographical information systems to assess groundwater contamination from arsenic and related diseases based on survey data in Lahore, Pakistan

M. Imran; S. Jahanzaib; A. Ashraf

doi:10.1007/s12517-017-3212-9

Using geographical information systems to assess groundwater contamination from arsenic and related diseases based on survey data in Lahore, Pakistan

M. Imran
, S. Jahanzaib
, A. Ashraf

Research output: Contribution to a Journal (Peer & Non Peer) › Article › peer-review

9 Citations (Scopus)

Original language	Undefined/Unknown
Journal	ARABIAN JOURNAL OF GEOSCIENCES
DOIs	https://doi.org/10.1007/s12517-017-3212-9
Publication status	Published - 2017

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 6 Clean Water and Sanitation

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10.1007/s12517-017-3212-9

Cite this

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title = "Using geographical information systems to assess groundwater contamination from arsenic and related diseases based on survey data in Lahore, Pakistan",

author = "M. Imran and S. Jahanzaib and A. Ashraf",

year = "2017",

doi = "10.1007/s12517-017-3212-9",

language = "Undefined/Unknown",

journal = "ARABIAN JOURNAL OF GEOSCIENCES",

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TY - JOUR

T1 - Using geographical information systems to assess groundwater contamination from arsenic and related diseases based on survey data in Lahore, Pakistan

AU - Imran, M.

AU - Jahanzaib, S.

AU - Ashraf, A.

PY - 2017

Y1 - 2017

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U2 - 10.1007/s12517-017-3212-9

DO - 10.1007/s12517-017-3212-9

M3 - Article

JO - ARABIAN JOURNAL OF GEOSCIENCES

JF - ARABIAN JOURNAL OF GEOSCIENCES

ER -

Using geographical information systems to assess groundwater contamination from arsenic and related diseases based on survey data in Lahore, Pakistan

UN SDGs

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