Spatial assessment of groundwater over-exploitation in northwestern districts of Bangladesh-Reference-Cited by-同舟云学术

Spatial assessment of groundwater over-exploitation in northwestern districts of Bangladesh

Published:2015-04 Issue:4 Volume:85 Page:463-470
ISSN:0016-7622
Container-title:Journal of the Geological Society of India
language:en
Short-container-title:J Geol Soc India

Author:

Shahid Shamsuddin,Wang Xian-June,Moshiur Rahman M.,Hasan Rashidul,Harun Sobri Bin,Shamsudin Supiah

Publisher

Springer Science and Business Media LLC

Subject

Geology

Link

http://link.springer.com/content/pdf/10.1007/s12594-015-0238-z.pdf

Reference37 articles.

1. Allen, R.G., Pereira, L.S., Raes, D. and Smith, M. (1998) Crop evapotranspiration: Guidelines for computing crop water requirements. Irrigation and Drainage Paper No. 56, FAO, Rome, Italy.

2. Asad-Uz-Zaman, M. and Rushton, K.R. (2006) Improved yield from aquifers of limited saturated thickness using inverted wells. Jour. Hydrol., v.326, pp.311–324.

3. Bangladesh Bureau of Statistics (2011) Agricultural statistics yearbook-2011. Bangladesh Bureau of Statistics (BBS), Dhaka.

4. Bangladesh Bureau of Statistics (2012) Report of Bangladesh population and household census 2011. Bangladesh Bureau of Statistics (BBS), Dhaka.

5. Banglapedia (2003) National Encyclopedia of Bangladesh. Asiatic Society of Bangladesh, Dhaka.

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