Groundwater recharge estimation and its spatial distribution in arid regions using GIS: a case study from Qatar karst aquifer-Reference-Cited by-同舟云学术

Groundwater recharge estimation and its spatial distribution in arid regions using GIS: a case study from Qatar karst aquifer

Published:2018-07-14 Issue:4 Volume:4 Page:1319-1329
ISSN:2363-6203
Container-title:Modeling Earth Systems and Environment
language:en
Short-container-title:Model. Earth Syst. Environ.

Author:

Baalousha Husam Musa^ORCID,Barth Nicolas,Ramasomanana Fanilo H.,Ahzi Said

Funder

Qatar National Research Fund

Publisher

Springer Science and Business Media LLC

Subject

Computers in Earth Sciences,Statistics, Probability and Uncertainty,General Agricultural and Biological Sciences,General Environmental Science

Link

http://link.springer.com/article/10.1007/s40808-018-0503-4/fulltext.html

Reference34 articles.

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2. Al-Kaabi, Zabia Hamad. (1987). The determinants of the future of agriculture in Qatar. Master thesis, Durham University

3. Baalousha HM (2005) Using CRD method for quantification of groundwater recharge in the Gaza Strip. Palestine. Environ Geol 48(7):889–900

4. Baalousha HM (2009) Stochastic water balance model for rainfall recharge quantification in Ruataniwha Basin, New Zealand. Environ Geol 58(1):85–93

5. Baalousha HM (2016a) Development of a groundwater flow model for the highly parameterized Qatar aquifers. Model Earth Syst Environ. https://doi.org/10.1007/s40808-016-0124-8

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