Climate change and irrigation demand: Uncertainty and adaptation

Woznicki, Sean A.; Nejadhashemi, A. Pouyan; Parsinejad, Masoud

doi:10.1016/j.ejrh.2014.12.003

Cited by 69 publications

(48 citation statements)

References 18 publications

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“…Other studies on the impact of climate change on the irrigation water requirement are including the work done by Woznicki et al (2015), Save et al (2012), Gondim et al (2012), Parekh and Prajapati (2013), Rehana and Mujumdar (2013), Valverde et al (2015) and Woznicki et al (2015).…”

Section: Introductionmentioning

confidence: 99%

Investigating Impacts of Climate Change on Irrigation Water Demands and Its Resulting Consequences on Groundwater Using CMIP5 Models

Goodarzi¹,

Abedi‐Koupai

Heidarpour

2018

Groundwater

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In this study, the impacts of climate change on crop water requirements and irrigation water requirements on the regional cropping pattern were evaluated using two climate change scenarios and combinations of 20 GCM models. Different models including CROPWAT, MODFLOW, and statistical models were used to evaluate the climate change impacts. The results showed that in the future period (2017 to 2046) the temperature in all months of the year will increase at all stations. The average annual precipitation decline in Isfahan, Tiran, Flavarjan, and Lenj stations for RCP 4.5 and RCP 8.5 scenarios are 18.6 and 27.6%, 15.2 and 18%, 22.5 and 31.5%, and 10.5 and 12.1%, respectively. The average increase in the evapotranspiration for RCP 4.5 and RCP 8.5 scenarios are about 2.5 and 4.1%, respectively. The irrigation water demands increases considerably and for some crops, on average 18%. Among the existing crops in the cropping pattern, barley, cumin, onion, wheat, and forage crops are more sensitive and their water demand will increase significantly. Results indicate that climate change could have a significant impact on water resources consumption. By considering irrigation efficiency in the region, climate change impacts will result in about 35 to 50 million m /year, over-extraction from the aquifer. This additional exploitation causes an extra drop of 0.4 to 0.8 m in groundwater table per year in the aquifer. Therefore, with regard to the critical condition of the aquifer, management and preventive measures to deal with climate change in the future is absolutely necessary.

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Section: Introductionmentioning

confidence: 99%

Investigating Impacts of Climate Change on Irrigation Water Demands and Its Resulting Consequences on Groundwater Using CMIP5 Models

Goodarzi¹,

Abedi‐Koupai

Heidarpour

2018

Groundwater

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“…Since the climate projections have a strong variability, 100 stochastic datasets were generated by the downscaling model (NHMM) for different GCMs. Rather than selecting a few ensembles of a suite of models, as usually done in many studies (Fischer et al, 2007;Xiong et al, 2010;Gondim et al, 2012;Save et al, 2012;Lee and Huang, 2014;Woznicki et al, 2015), we adopted all 100 ensembles of a better performing model (Charles and Fu, 2015) so that the uncertainty in climate projections can be adequately addressed in modeling scenarios. The GCM (GFDL ESM2 M) data downscaled for RCP8.5 for Loxton in the Riverland were used in the current modeling study to consider the worst-case scenario for the water related risks to viticulture.…”

Section: Climatic Parameters For Modelingmentioning

confidence: 99%

“…However, the information on the future irrigation requirements of viticulture and the magnitude of other related risks (salinity) in the soil is sparse. A number of modeling studies have attempted to evaluate the effects of climate change on water use in agriculture for other crops (Fischer et al, 2007;Elgaali et al, 2007;De Silva et al, 2007;Xiong et al, 2010;Gondim et al, 2012;Save et al, 2012;Lee and Huang, 2014;Woznicki et al, 2015). Most of these studies showed an increase in the irrigation demand for typical annual crops.…”

Section: Introductionmentioning

confidence: 99%

Identifying the future water and salinity risks to irrigated viticulture in the Murray-Darling Basin, South Australia

Phogat

Cox

Šimůnek

2018

Agricultural Water Management

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“…According to the latest Intergovernmental Panel on Climate Change (IPCC) report, the global surface temperature will increase between 1.5 to 2°C by the end of the 21st century relative to the period from 1850 to 1900 (IPCC 2013). Climate change can alter the hydrological cycle which may result in extreme events such as floods and droughts (Quevauviller 2011;Wilhite et al 2014;Pulwarty and Sivakumar 2014;Farjad et al 2015;Woznicki et al 2015). Therefore, understanding the influence of climate change on the frequency and severity of extreme hydrological events is of crucial importance in order to better guide sustainable management of water resources.…”

Section: Introductionmentioning

confidence: 99%

Impact of climate change on the severity, duration, and frequency of drought in a semi-arid agricultural basin

Hosseinizadeh

SeyedKaboli²,

Zareie

et al. 2015

GEOENVIRON DISASTERS

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Background: Climate change is one of the greatest threats facing the world today and future generations. A change in climate can alter the frequency and duration of drought especially in arid and semi-arid regions. This study aims at investigating the impact of climate change on the severity, duration, and frequency of drought in a semi-arid agricultural basin in Khuzestan, Iran. Results: The largest increases in duration of drought occur for the normal (SPI < -0.5) and extreme (SPI < -2) conditions while the largest increases in frequency of drought occur under the warmer and drier climate scenario in the western portion of the basin. The frequency of moderate (SPI < -1) and severe (SPI < -1.5) droughts decreases under all scenarios whereas most scenarios show an increase in the frequency of extreme (SPI < -2) drought. Conclusions: This study applied the Standardized Precipitation Index (SPI) along with a combination of GCM-scenarios to create the severity-duration-frequency (SDF) curves of drought for the period 2020-2044. An average period of six months (ending in May) was used for the SPI, corresponding to the agricultural growing season of the region, to assess drought conditions under five plausible climate scenarios. The selected GCM-scenarios were GISS-ER A1B (warmer and drier), CSIROMk3.5 B1 (cooler and drier), INGV-SXG A1B (median conditions), ECHO-G A2 (warmer and wetter) and ECHAM5 B1 (cooler and wetter) and they were downscaled with an Artificial Neural Network (ANN) approach. Results reveal that most scenarios exhibit an increase in the duration of extreme drought while the duration of moderate drought decreases under all scenarios. The largest increases in the frequency of extreme droughts occur in the western portion of the basin in response to the warmer and drier climate scenario. An increase in the number of extreme (SPI < -2) drought conditions with a longer duration can influence the growing season.

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Climate change and irrigation demand: Uncertainty and adaptation

Cited by 69 publications

References 18 publications

Investigating Impacts of Climate Change on Irrigation Water Demands and Its Resulting Consequences on Groundwater Using CMIP5 Models

Investigating Impacts of Climate Change on Irrigation Water Demands and Its Resulting Consequences on Groundwater Using CMIP5 Models

Identifying the future water and salinity risks to irrigated viticulture in the Murray-Darling Basin, South Australia

Impact of climate change on the severity, duration, and frequency of drought in a semi-arid agricultural basin

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