Assessment of Sprinkler Irrigation Systems Situation Using Analytical Hierarchy Process Method (Case Study: Zanjan Plain)

آب و خاک

Article 4, Volume 33, Issue 4 - Serial Number 66, September 2019, Pages 565-578   

Document Type: Research Article

DOI: 10.22067/jsw.v0i0.81485

Authors

P. Moradzadeh¹; H. Ojaghlou^{* 2}; Mohammad Ghabaei Sough

¹Graduated in Master Irrigation and Drainage Department of Water Science and Engineering, University of Zanjan

²Assistant Professor, Department of Water Science and Engineering, University of Zanjan

Abstract

 
Introduction: The average of irrigation efficiency is less than the global average due to improper irrigation systems and traditional water management practices in the field. The use of modern irrigation systems is one of the most important ways to cope with the water shortage crisis in Iran. However, it is necessary to evaluate the effective factors on performance of irrigation system. In present study, a zoning map of suitable land for implementation of sprinkle irrigation system was prepared using AHP method with considering the criteria such as chemical characteristics of water, soil properties, topography, climate, social and economic factors in the Zanjan plain. 
Materials and Methods: The present study was carried out using collected data from Zanjan plain that located in northwest of Iran and east of Ghezel Ozan River. The total study area is about 4705 km2 and the average rainfall and temperature in region are 259 mm and 10.9 °C, respectively. The first step in the AHP method is to create a hierarchical structure. For this purpose, each of the criteria was rated 1 to 9 based on paired comparisons done by experts and then classification maps were prepared for each of them. In order to provide zoning maps for water and soil factors, data of more than 2000 wells and 111 soil samples were collected, respectively. In addition, data of 13 Meteorological stations were used to prepare zoning maps of climatic factors such as wind speed and temperature. In this research, a topographic map with a scale of 1/25000 was used to investigate the ground slope effect. More than 60 interview forms were completed to produce maps related to socio-economic factors. Zoning maps were prepared using the Kriging interpolation method in ArcGIS software. Finally, the weight of each criteria was calculated according to the scores that obtained in the previous stage and then land classification map was produced by applying the obtained weights on each criteria. In order to evaluate the situation of sprinkle irrigation projects, location of 52 farms equipped with sprinkle irrigation system obtained from the agricultural organization of Zanjan province.  
Results and Discussion: Regarding the quality of water resources, 40.3% and 21.0% of area were classified in most suitable and suitable classes, respectively and about 10.4% was evaluated in the inappropriate class in order to implementation of sprinkler irrigation. In terms of the soil physical and chemical properties, about 38.4% of plain were classified as "most suitable", 22.8% as "suitable" and 24.7% as "inappropriate" class. In relation to topographic criteria, it can be stated that about 85% of area are in good condition, so that the ground slope in most of the lands is less than 10%. Based on climate criteria and specifically wind speed factor, about 61% of the plain was classified as "good" and "very good", while about 39% was in medium and low class. In terms of social and economic criteria, most of area were found to have a good rating, so there is no particular limitation in this regard. The results of the paired comparisons between criteria showed that, social and climatic criteria have the lowest and highest weight, respectively. The value of the inconsistency rate was calculated about 0.07, which indicated the acceptability of the gained weights. An examination of land feasibility map showed, about 33.4% of the region is suitable for implementing sprinkle irrigation system. About 29.5% and 25.8% were evaluated without limitation and low limitation, respectively. Also, about 10.3% was not recommended for use of sprinkle irrigation. The assessment of the location of implemented projects showed that 44.2% of the projects were in suitable or perfectly suitable classes of land. The rest of the projects (55.8%) were implemented in medium or unsuitable classes.
Conclusion: The results obtained from the AHP method showed that wind speed factor has the most weight and importance in selecting sprinkle irrigation system. Generally, in most farms of the region, there is no significant limitation on the implementation of sprinkler irrigation system. Due to low water quality and high wind speed in a small part of the study area that located in northern and eastern, the use of these systems is not recommended. The results showed that some of the sprinkle irrigation projects have been implemented in lands with low-class and it is essential to improve or change these systems.

Keywords

AHP; Paired Comparison; Wind speed; Zoning Map

References

1- Abbasi F., Sohrab F., and Abbasi N. 2017. Evaluation of Irrigation Efficiencies in Iran. Irrigation and Drainage Structures Engineering Research 17(67): 113-128. (In Persian)

2- Ahmadi A., Hezarjaribi A., ghorbani Kh., and Hesam M. 2019. Locating Susceptible Regions Implementation of New Irrigation Systems (Localized irrigation, Sprinkler irrigation, Low-pressure irrigation) by using Analytical Hierarchy Process (AHP) in GIS (Case Study: North Khorasan Province, Esfarayen). Journal of Soil and Water Conservation Research 25(5): 69-87. (In Persian)

3- Albaji M., Golabi M., Hooshmand A.R., and Ahmadee M. 2016. Investigation of Surface, Sprinkler and Drip Irrigation Methods Using GIS. Jordan Journal of Agricultural Sciences 12(1): 211-222.

4- Azad N., Rezaeiabajelu E., and Behmanesh J. 2019. Locating the Potential Areas for executing Surface and Pressurized Irrigation Systems Using Fuzzy Analytical Hierarchy Process Method in Myandoab Plain. Irrigation Sciences and Engineering 41(4): 119-132. (In Persian)

5- Bagherzadeh A., and Paymar P. 2015. Assessment of Land Capability for Different Irrigation Systems by Parametric and Fuzzy Approaches in the Mashhad Plain, Northeast Iran. Soil and Water Research 10(2): 90-98.

6- Bozdag A. 2015. Combining AHP with GIS for assessment of irrigation water quality in Cumra irrigation district (Konya), Central Anatolia, Turkey. Environ Earth Sci 73:8217–8236

7- Dengiz O. 2006. Comparison of Different Irrigation Methods Based on The Parametric Evaluation Approach. Turkish Journal of Agriculture and Forestry 30: 21-29.

8- Farhadibansouleh B., Ahmadi Sh., and Mirzaeitakhtgahi H. 2017. Selection of the appropriate pressurized irrigation system using multi criteria evaluation (Case study: Jamishan irrigation network). Water and Irrigation Management (Agricultural Magazine) 7(1): 135.149. (In Persian)

9- Ghodsipour S.H. 2007. Analytical hierarchy process (AHP), Amirkabir University of Tech. Pub., Tehran.

10- Ghodsipour S.H. 2013. Analytical hierarchy process (AHP). Amirkabir University of Technology, Tehran. (In Persian)

11- Hoseini Y., and Delavari A. 2016. Comparing the Suitability of Two Methods (Surface and Drip) of Irrigation Based on a Parametric Evaluation System. Yuzuncu Yil University Journal of Agricultural Sciences 26(2): p. 152-160.

12- Montazar A., and Behbahani S.M. 2007. Development of an optimized irrigation system selection model using analytical hierarchy process Assessment of Land Capability for Different Irrigation Systems by Parametric and Fuzzy Approaches in the Mashhad Plain, Northeast Iran. Biosystems Engineering 98: 155-165.

13- Naseri A., Rezania A.R., and Albaji M. 2009. Investigation of soil quality for different irrigation systems in Lali Plain, Iran. Journal of Food, Agriculture & Environment 7(3&4): 955-960.

14- Neshat A., and Nikpour N. 2011. Locating susceptible areas for underwater pressure irrigation using Geographic Information System (GIS) (Case Study: Kerman Plain). Journal of Water Resources Engineering 4(8): 77-84. (In Persian)

15- Norouzi A., and chizari M. 2006. The factors affecting regarding sprinkler irrigation adoption in Nahavand Township. Agricltural Economice and Development 14(54): 61-84. (In Persian)

16- Pramanik MK. 2016. Site suitability analysis for agricultural land use of Darjeeling district using AHP and GIS techniques. Model Earth Syst Environ 2:1–22.

17- Ramzi R., Shahidi A., and Khasheiesiuki A. 2014. Zoning of land Capable of Sprinkler Irrigation Using AHP Method in South- Khorasan Province. Iranian Journal of lrrigation and Drainage 8(1): 162-170. (In Persian)

18- Rezaei M., Keshtkar M., and Rezaei M. 2014. Locating susceptible areas for implementing sprinkler irrigation schemes using GIS and similar to Bolin (Case study: Arsanjan plain, Fars province). P. 1-8. Second National and Specialized Conference on Environmental Researches of Iran, 7 August. 2014. Faculty of Martyrs Mofattah, Hamedan. (In Persian)

19- Saaty T.L. 1996. The Analytic Hierarchy Process. Mc Graw Hill, New York.

20- Sadatinejad S.J., and Shekary M.R. 2015. Application of land-based and GIS methods in finding areas susceptible to irrigation systems in arid and semi-arid regions (Case study: Khaled-Abad Badood Plain). Iranian Journal of Remote Sencing & GIS 6(4): 81-92. (In Persian)

21- Sediqkia M., Nateghi M.B., Kavianikosarkhezy Sh., and Nagipour N. 2015. Evaluation and placement of various irrigation methods with the hierarchical analysis pattern in the area of the reliance organization in the Dorood region. Journal of Water Research in Agriculture 28(4): 749-758. (In Persian)

22- Seyedmohammadi J., Esmaeelnejad L., and Ramezanpour H. 2016. Land suitability assessment for optimum managegement of water consumption in precise agriculture. Modeling Earth Systems and Environment 2: 162-172.

23- Talebnejad R., and Sepaskhah A.R. 2014. Effects of water-saving irrigation and ground-water depth on rice growth, yield and water use in a semi-arid region, Archives of Agronomy and soil Science 60(1): 15-31.

24- Yalew S. G., van Griensven A., Marloes L., and van der Zaag P. 2016. Land suitability analysis for agriculture in the Abbay basin using remote sensing, GIS and AHP techniques. Model. Earth Syst. Environ. 2:101.