Site Selection of Different Irrigation Systems Using an Analytical Hierarchy Process Integrated with GIS in a Semi-Arid Region

Neissi, Lamya; Albaji, Mohammad; Nasab, Saeed Boroomand

doi:10.1007/s11269-019-02434-1

Cited by 8 publications

(5 citation statements)

References 15 publications

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“…Another research approach for optimized water-use in arid regions is the analysis of the best location for a particular irrigation method, as this can lead to higher water efficiency under certain drought conditions. For example, the Analytical Hierarchy Process (AHP) could be used as a Multi-Criteria Decision Making (MCDM) method based on a GIS by taking into account local conditions such as climate or topography [38]. Furthermore, location analysis for the proposed new WWTPs and water-reuse plants can be identified by using the best-worst method in a GIS-based Decision Support System (DSS).…”

Section: Land-use and Water Requirementsmentioning

confidence: 99%

Identification of Water-Reuse Potentials to Strengthen Rural Areas in Water-Scarce Regions—The Case Study of Wuwei

Bauer

2020

Land

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Due to water scarcity, which is worsening due to climate change, rural areas often face the challenge of rural exoduses. Limited water resources restrict local farmers as the opportunities for cultivation in the fields are reduced. This makes rural areas increasingly unattractive. To strengthen rural areas, sustainable water management with a focus on water-reuse is required. Since treated wastewater is a daily resource with calculable quantities available, reused water can contribute to the sustainable strengthening of a region. Therefore, an analysis of water-reuse potentials must be conducted to develop a water-reuse concept and thus increase the application of reused water. For this purpose, a case study of Wuwei as a rural and water-scarce region in China was chosen. By using a geoinformation system, the unfulfilled water-reuse potential can be identified by intersecting the results of the analysis regarding the current water supply and disposal situation with spatial and regional information, such as population data. Hence, the study presents the potential to increase wastewater treatment and water-reuse for, e.g., agricultural irrigation. It is shown that, in the best case, reused water can be increased from 5479 m3 per day to 207,461 m3 per day. Resource efficiency can be further increased by combining water-reuse concepts with land-use strategies adapted to climate change. This will ensure a more sustainable water supply in the future.

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Section: Land-use and Water Requirementsmentioning

confidence: 99%

Identification of Water-Reuse Potentials to Strengthen Rural Areas in Water-Scarce Regions—The Case Study of Wuwei

Bauer

2020

Land

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“…The suitability analysis indicated that approximately 9% of the area of Ghana was suitable for irrigation, and due to climate change, approximately 9% of the land would be affected. Neissi et al (2019) applied GIS‐based AHP to recognize suitable sites for different irrigation systems in the Izeh Plain of Iran. They considered three types of irrigation systems, pressurized, gravitation and low‐pressure irrigation systems, and climate, topography, system cost and skilled labour were used as input parameters.…”

Section: Introductionmentioning

confidence: 99%

Land suitability analysis using a multicriteria decision‐making approach for optimal irrigation in a medium irrigation scheme in West Bengal, India

Halder

Das

Basu

2023

Irrigation and Drainage

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The present study aspires to distinguish suitable irrigation lands using the analytical hierarchy process (AHP) and geographic information system (GIS) of the Shali River basin area, which is a part of the Shali reservoir irrigation project (medium irrigation project) of West Bengal, India. Therefore, 12 factors were identified as criteria, including elevation, slope, rainfall, soil group, sand, silt, clay, nitrogen, pH, organic carbon, land use and land cover (LULC) and river distance. The results show that the Shali Basin has approximately 64% irrigation‐suitable land. The irrigational suitability reveals that the villages near the river have highly irrigation‐suitable lands. Therefore, it can be said that the distance to the river plays a major role as it determines the irrigation water availability. It is therefore advisable to install rainwater catchment structures in villages that are significantly distant from the river. This study may help farmers to select cropping patterns according to irrigation suitability and the concerned readers to understand the irrigation land suitability analysis with appropriate parameters and methods under any medium irrigation project.

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“…The wise use of water resources has a direct impact on the world's food security and stability, yet global climate change has exacerbated the scarcity of water resources in recent years. The issue of how to realize efficient water resource utilization in the face of restricted water resources has steadily gained attention [1][2][3]. China is a large agricultural country, with a substantial share of water utilized for agricultural irrigation, and a lack of scientific supervision in the irrigation process results in irrigation water greatly surpassing crop needs [4].…”

Section: Introductionmentioning

confidence: 99%

Multi-Algorithm Hybrid Optimization of Back Propagation (BP) Neural Networks for Reference Crop Evapotranspiration Prediction Models

Zheng,

Zhang,

et al. 2023

Water

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The reference crop evapotranspiration (ET0) statistic is useful for estimating agricultural system water requirements and managing irrigation. In dry areas, the accurate calculation of ET0 is crucial for optimal agricultural water resource utilization. By investigating the relationship between meteorological information and ET0 in Shihezi City, four prediction models were developed: a BP neural network prediction model, a BP neural network prediction model improved by genetic algorithm (GA-BP), a BP neural network prediction model improved by particle swarm algorithm (PSO-BP), as well as an improved hybrid BP neural network prediction model (GA-PSO-BP). The Pearson correlation analysis found that the key parameters influencing ET0 were temperature (Tmax, Tave, Tmin), hours of sunshine (N), relative humidity (RH), wind speed (U), as well as average pressure (AP). Based on the analysis results, different combinations of meteorological input factors were established for modeling, and the results showed that when the input factors were temperature (Tmax, Tave, Tmin), hours of sunshine (N), as well as relative humidity (RH), the overall effect of the ET0 prediction model was better than the other input combinations, and the GA-PSO-BP prediction model was the best, which could provide some guidance for the deployment and use of water resources. This may assist in the allocation and utilization of agricultural water resources in Shihezi.

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Site Selection of Different Irrigation Systems Using an Analytical Hierarchy Process Integrated with GIS in a Semi-Arid Region

Cited by 8 publications

References 15 publications

Identification of Water-Reuse Potentials to Strengthen Rural Areas in Water-Scarce Regions—The Case Study of Wuwei

Identification of Water-Reuse Potentials to Strengthen Rural Areas in Water-Scarce Regions—The Case Study of Wuwei

Land suitability analysis using a multicriteria decision‐making approach for optimal irrigation in a medium irrigation scheme in West Bengal, India

Multi-Algorithm Hybrid Optimization of Back Propagation (BP) Neural Networks for Reference Crop Evapotranspiration Prediction Models

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