Literature DB >> 28243930

Integrated groundwater resource management in Indus Basin using satellite gravimetry and physical modeling tools.

Naveed Iqbal1, Faisal Hossain2, Hyongki Lee3, Gulraiz Akhter4.   

Abstract

Reliable and frequent information on groundwater behavior and dynamics is very important for effective groundwater resource management at appropriate spatial scales. This information is rarely available in developing countries and thus poses a challenge for groundwater managers. The in situ data and groundwater modeling tools are limited in their ability to cover large domains. Remote sensing technology can now be used to continuously collect information on hydrological cycle in a cost-effective way. This study evaluates the effectiveness of a remote sensing integrated physical modeling approach for groundwater management in Indus Basin. The Gravity Recovery and Climate Experiment Satellite (GRACE)-based gravity anomalies from 2003 to 2010 were processed to generate monthly groundwater storage changes using the Variable Infiltration Capacity (VIC) hydrologic model. The groundwater storage is the key parameter of interest for groundwater resource management. The spatial and temporal patterns in groundwater storage (GWS) are useful for devising the appropriate groundwater management strategies. GRACE-estimated GWS information with large-scale coverage is valuable for basin-scale monitoring and decision making. This frequently available information is found useful for the identification of groundwater recharge areas, groundwater storage depletion, and pinpointing of the areas where groundwater sustainability is at risk. The GWS anomalies were found to favorably agree with groundwater model simulations from Visual MODFLOW and in situ data. Mostly, a moderate to severe GWS depletion is observed causing a vulnerable situation to the sustainability of this groundwater resource. For the sustainable groundwater management, the region needs to implement groundwater policies and adopt water conservation techniques.

Entities:  

Keywords:  GRACE; Groundwater management; Indus Basin; Pakistan; Remote sensing

Mesh:

Year:  2017        PMID: 28243930     DOI: 10.1007/s10661-017-5846-1

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  6 in total

1.  Constraints and potentials of future irrigation water availability on agricultural production under climate change.

Authors:  Joshua Elliott; Delphine Deryng; Christoph Müller; Katja Frieler; Markus Konzmann; Dieter Gerten; Michael Glotter; Martina Flörke; Yoshihide Wada; Neil Best; Stephanie Eisner; Balázs M Fekete; Christian Folberth; Ian Foster; Simon N Gosling; Ingjerd Haddeland; Nikolay Khabarov; Fulco Ludwig; Yoshimitsu Masaki; Stefan Olin; Cynthia Rosenzweig; Alex C Ruane; Yusuke Satoh; Erwin Schmid; Tobias Stacke; Qiuhong Tang; Dominik Wisser
Journal:  Proc Natl Acad Sci U S A       Date:  2013-12-16       Impact factor: 11.205

2.  Satellite-based estimates of groundwater depletion in India.

Authors:  Matthew Rodell; Isabella Velicogna; James S Famiglietti
Journal:  Nature       Date:  2009-08-12       Impact factor: 49.962

3.  Composite use of numerical groundwater flow modeling and geoinformatics techniques for monitoring Indus Basin aquifer, Pakistan.

Authors:  Zulfiqar Ahmad; Arshad Ashraf; Alan Fryar; Gulraiz Akhter
Journal:  Environ Monit Assess       Date:  2010-03-07       Impact factor: 2.513

4.  GRACE, time-varying gravity, Earth system dynamics and climate change.

Authors:  B Wouters; J A Bonin; D P Chambers; R E M Riva; I Sasgen; J Wahr
Journal:  Rep Prog Phys       Date:  2014-10-31

5.  Spatial quantification of groundwater abstraction in the irrigated Indus basin.

Authors:  M J M Cheema; W W Immerzeel; W G M Bastiaanssen
Journal:  Ground Water       Date:  2013-02-26       Impact factor: 2.671

Review 6.  Groundwater resources management through the applications of simulation modeling: a review.

Authors:  Ajay Singh
Journal:  Sci Total Environ       Date:  2014-05-28       Impact factor: 7.963

  6 in total

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