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An extended modeling approach to assess climate change impacts on groundwater recharge and adaptation in arid areas

In English

Författare

Summary, in English

The impact of future climate scenarios on surface and groundwater resources was simulated using a modeling approach for an artificial recharge area in arid southern Iran. Future climate data for the periods of 2010–2030 and 2030–2050 were acquired from the Canadian Global Coupled Model (CGCM 3.1) for scenarios A1B, A2, and B1. These scenarios were adapted to the studied region using the delta-change method. The modified version of the HBV model (Qbox) was used to simulate runoff in a flash flood prone catchment. The model was calibrated and validated for the period 2002– 2011 using daily discharge data. The projected climate variables were used to simulate future runoff. The rainfall–runoff model was then coupled to a calibrated groundwater flow and recharge model (MODFLOW) to simulate future recharge and groundwater hydraulic head. The results of the rainfall–runoff modeling showed that under the B1 scenario the number of floods might increase in the area. This in turn calls for a proper management, as this is the only source of fresh water supply in the studied region. The results of the groundwater recharge modeling showed no significant difference be- tween present and future recharge for all scenarios. Owing to that, four abstraction and recharge scenarios were assumed to simulate the groundwater level and recharged water in the studied aquifer. The results showed that the abstraction scenarios have the most substantial effect on the groundwater level and the continuation of current pumping rate would lead to a groundwater decline by 18 m up to 2050.

Publiceringsår

2014

Språk

Engelska

Sidor

11797-11835

Publikation/Tidskrift/Serie

Hydrology and Earth System Sciences Discussions

Volym

11

Issue

10

Dokumenttyp

Artikel i tidskrift

Förlag

Copernicus GmbH, Copernicus GmbH

Ämne

  • Other Social Sciences
  • Water Engineering

Nyckelord

  • Iran
  • Recharge
  • Numerical modeling
  • Climate change
  • Groundwater

Status

Published

ISBN/ISSN/Övrigt

  • ISSN: 1812-2108