Sensitivity of Irrigation Water Requirement to Climate Change in Arid and Semi-Arid Regions towards Sustainable Management of Water Resources

Saeed, Fouad H.; Al-Khafaji, Mahmoud Saleh; Al-Faraj, Furat

doi:10.3390/su132413608

Cited by 19 publications

(18 citation statements)

References 48 publications

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“…The results of projected Tmin and Tmax indicated that winter is accelerated towards warming more than summer. These results agree with Saeed et al [49] Furthermore, according to the analysis presented by Zhang et al [50], the results showed that temperature increased in winter at a rate compared with the increase in summer for MENA from 1950-2003.…”

Section: Future Trends In Climate Variablessupporting

confidence: 91%

Potential Impact of Global Warming on Climate and Streamflow of Adhaim River Basin, Iraq

Saeed¹,

Al-Khafaji²,

Al-Faraj³

2022

ETJ

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 Connection between LARS-WG and SWAT models presented successful simulation for current and future climate and hydrological systems in ARB.  ARB tend to become hotter and drier by 2080 due to global warming.  Adaptation strategies should be applied in water resources management of ARB.Global warming induces to increase of greenhouse gases in the atmosphere and plays a crucial role in determining the future trend in climatology and hydrology of a watershed. This paper aims to investigate the implications of global warming on future climate and its consequents on streamflow of the Adhaim River Basin (ARB). For this purpose, the Long Ashton Research Station-Weather Generator (LARS-WG) and Soil and Water Assessment Tool (SWAT)-Based models were implemented. The climate and hydrologic records for the period 1990-2019 were used as a Reference Period (RP) and projected to 2080 under Representative Concentration Pathways (RCPs 2.6, 4.5, and 8.5) and five Global Climate Models (GCMs). The results show that the region of ARB tends to become hotter and drier with an increase in mean temperature by 1.2, 2.9, and 4.6 °C under the considered RCPs, respectively. However, precipitation tends to decrease from 366 mm/y in RP to 320.2, 302, and 300.5 mm/y by 2080 under the considered RCPs. Consequently, the streamflow will decrease to about 28, 26, and 24 m3/s by 2080 under the considered RCPs, respectively, compared with 28.96 m3/s in RP. Therefore, adaptation strategies are highly recommended to alleviate the negative impacts of climate change, and the implications of climate change on groundwater, water demand, and adaptation plans should be investigated in future studies.

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Section: Future Trends In Climate Variablessupporting

confidence: 91%

Potential Impact of Global Warming on Climate and Streamflow of Adhaim River Basin, Iraq

Saeed¹,

Al-Khafaji²,

Al-Faraj³

2022

ETJ

Self Cite

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“…Although many synergistic side effects are possible, semi-arid and arid regions are predicted to have the most potential. Here, intense solar radiation and associated water losses frequently have a negative impact on agricultural growth [10]. In PV installations, it has been demonstrated that water consumption efficiency rises underneath the panels; similar outcomes have been seen in APV systems.These results become even more relevant as future climate change is expected to lead to increased demand for irrigation water [11].…”

Section: Introductionmentioning

confidence: 79%

In vitro micropropagation of Chlorophytum borivilianum: A Predictive Model Employing Artificial Neural Networks trained with a range of Algorithms

Farghally

Sweelem

El-Sebah

et al. 2023

International Journal of Applied Sciences &Amp; Development

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Agricultural Photovoltaic Systems are a key technology to achieve sustainable development goals by reducing competition between land for food and electricity. In addition, Agricultural Photovoltaic Systems are at the heart of the link between power generation, crop production and irrigation water conservation. The main ecophysiological constraint on crop production under photovoltaics is the reduction of light. It is difficult to recommend shade tolerance for some plant varieties due to insufficient information on shading conditions for most plants. The use of shading panels (photovoltaic panels) requires more crop-specific research to determine the optimal percentage of panels and their placement that will not reduce agricultural yields. Crop yield variation versus field shading and availability to maximize the system require extensive research. This study aims to develop a standard procedure for designing an agricultural grid-connected photovoltaic power generation system for solar power generation in an agricultural area in Bahteem, Egypt. The technical and annual performance of the grid-connected PV system was simulated using PV Syst software. The paper started with a pre-feasibility study of a grid-connected photovoltaic system using PV Syst. Software with an extensive database of meteorological data, including global daily horizontal solar irradiance, and a database of various renewable energy system components from different manufacturers. In this work, a comprehensive literature review of agricultural solar photovoltaic systems is conducted, with a particular focus on grid-connected systems, followed by a design procedure for grid-connected solar photovoltaic systems. The planned photovoltaic system will generate a total of 400 KWp of electricity. This generated electricity can drive down electricity prices by exporting excess electricity to the national grid. In addition, solar power systems are fuel-efficient and have a low environmental impact.

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“…Ea is the efficiency of irrigation, and Lr is a requirement of leaching (mm), which is calculated by Lr = f × NIWR, where f ranges from (five to twelve ) percent upon available soil salinity [15]…”

Section: The Cropwat Modelmentioning

confidence: 99%

“…In Iraq, a few studies evaluated the effect of climate change on the irrigation water requirements of crops. Saeed et al [15] evaluate the spatiotemporal sensitivity of the net irrigation water requirement (NIWR) under climate changes for four irrigation projects located in arid and semi-arid regions of Iraq for North Jazeera Irrigation Project (NJIP), Kirkuk Irrigation Project (KRIP), Upper Khalis Irrigation Project (UKIP), and Dalmaj Irrigation (DLIP), respectively, So This study is considered the first study that determines the climate changes effects on net irrigation water requirements and crop productivity by CROPWAT and machine learning in Iraq ( AL-Najaf governorate) under future climate change scenarios. Three climate change scenarios were utilized to estimate future climate data (RCP2.5, RCP 6, and RCP8.5).…”

Section: Introductionmentioning

confidence: 99%

Future Water Requirements and Crop Productivity at Al-Najaf Governorate Under Different Climate Change Scenarios (2020–2080)

Sabah

Al-Mukhtar

Shemal

2023

ETJ

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The effect of climate change on net irrigation water requirements and crop productivity was investigated.  Barley has the most influence on climate change.  An increase in the quantity of water required for irrigation for the common crops under climate change.  Climate change has negative effects on all crops' yield under different climate change scenarios. This study aims to predict the effect of climate change on net irrigation water requirements (NIWR) and agricultural productivity from five common crops (wheat, barley, summer maize, and sorghum) in the Al-Najaf Governorate in Iraq. GFDL-ESM2M mode was used to predict the lower and upper temp and precipitation for two time periods (2020-2080) with 30 years for two periods (P1 and P2) under representative concentrations paths (RCP 2.5, RCP6, and RCP8.5). The CROPWAT model is used to determine NIWR, and the extreme learning model was used to estimate agricultural yields using previous crop yield production and weather data, supported vectors machine (SVM) is executed as a Machines Learns algorithm. Results showed NIWR increment to consider cropping owing to climate change. Barley is the crop most affected by climate change under the (RCP2.5, RCP6, and RCP8.5) scenarios, with increasing crop water requirements (NIWR) of (22%, 23%, and 24% ) for P1 and (23%, 24%, and 29%) for P2, respectively. Summer maize is the crop least affected by climate change under all climate change scenarios, with increasing crop water requirements of (1%, 2%, and 4%) for P1 and (1%, 2%, and 5% for P2. Climate change negatively affects the crop yield of all crops under the different climate change scenarios. The findings of this study could be used as a guide to developing adaptation strategies for dealing with potential changes in water availability and agricultural water productivity due to climate change.

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Sensitivity of Irrigation Water Requirement to Climate Change in Arid and Semi-Arid Regions towards Sustainable Management of Water Resources

Cited by 19 publications

References 48 publications

Potential Impact of Global Warming on Climate and Streamflow of Adhaim River Basin, Iraq

Potential Impact of Global Warming on Climate and Streamflow of Adhaim River Basin, Iraq

In vitro micropropagation of Chlorophytum borivilianum: A Predictive Model Employing Artificial Neural Networks trained with a range of Algorithms

Future Water Requirements and Crop Productivity at Al-Najaf Governorate Under Different Climate Change Scenarios (2020–2080)

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