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An Integrated DSS for Groundwater Management Based on Remote Sensing. The Case of a Semi-arid Aquifer in Morocco

Author

Listed:
  • Michel Le Page
  • B. Berjamy
  • Y. Fakir
  • F. Bourgin
  • L. Jarlan
  • A. Abourida
  • M. Benrhanem
  • G. Jacob
  • M. Huber
  • F. Sghrer
  • V. Simonneaux
  • G. Chehbouni

Abstract

A Decision Support System has been set up as the result of a fruitful cooperation between several public and research institutions in the framework of a large cooperation program. The DSS aims to compare spatially and temporally sectorial water demands of the Haouz-Mejjate plain (Morocco) in regard to available surface and groundwater resources. It is composed of a tool for satellite estimation of Agricultural Water Demand (SAMIR), a tool for integrated water resources planning (WEAP) and a groundwater model (MODFLOW) each of them relying on a common Geographical Information System not described here. The DSS is operating on a monthly time scale. Agricultural water demand accounts for about 80 % of the total demand. In areas where groundwater abstraction is difficult to quantify by direct methods, multitemporal remote sensing associated to the FAO methodology is a simple and efficient alternative to estimate Evapotranspiration (ET). In this work, a monthly estimate of ET from irrigated areas is derived from freely available MODIS NDVI for the 2001–2009 period. An important part of the paper deals with the validation of these estimates with eddy covariance flux measurements installed on different irrigated crops of the region. Results are satisfactory with a minus 6.5 % error per year on the monthly time scale. This preprocessing allows to dichotomize irrigated versus non-irrigated areas, and then, to estimate groundwater abstraction in subareas distinguishing by their operating modes: traditional, dam or privately irrigated. A dynamic linkage between MODFLOW and WEAP transfers the results of one model as input data to the other. The model restitutes both spatial and temporal variations in head charges and allows the calculation of the ground water balance. After calibration, piezometric validation is acceptable for the majority of the 21 head control points. Copyright Springer Science+Business Media B.V. 2012

Suggested Citation

  • Michel Le Page & B. Berjamy & Y. Fakir & F. Bourgin & L. Jarlan & A. Abourida & M. Benrhanem & G. Jacob & M. Huber & F. Sghrer & V. Simonneaux & G. Chehbouni, 2012. "An Integrated DSS for Groundwater Management Based on Remote Sensing. The Case of a Semi-arid Aquifer in Morocco," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(11), pages 3209-3230, September.
    • Handle: RePEc:spr:waterr:v:26:y:2012:i:11:p:3209-3230
    DOI: 10.1007/s11269-012-0068-3
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    3. Rick Hogeboom & Pieter Oel & Maarten Krol & Martijn Booij, 2015. "Modelling the Influence of Groundwater Abstractions on the Water Level of Lake Naivasha, Kenya Under Data-Scarce Conditions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(12), pages 4447-4463, September.
    4. Q. Ma & M. Abily & M. Du & P. Gourbesville & Oliver Fouché, 2020. "Integrated Groundwater Resources Management: Spatially-Nested Modelling Approach for Water Cycle Simulation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(4), pages 1319-1333, March.
    5. Deb Kumar Maity & Sujit Mandal, 2019. "Identification of groundwater potential zones of the Kumari river basin, India: an RS & GIS based semi-quantitative approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 21(2), pages 1013-1034, April.
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