Evaluation of the best irrigation system by using Analytical Hierarchy Process (Case study: Izeh plain)

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Neissi L.; ALBAJI M.; BROOMANDNASAB S.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: IRANIAN WATER RESEARCH JOURNAL Year:2020 | Volume:13 | Issue:4 (35) Page(s): 17-25

Download Full-Text

Persian Verion

View:

664

Download:

Cites:

Information Journal Paper

Title

Evaluation of the best irrigation system by using Analytical Hierarchy Process (Case study: Izeh plain)

Author(s)

Neissi L. | ALBAJI M. | BROOMANDNASAB S. | Issue Writer Certificate

Keywords

AHPQ2

Decision makingQ1

GISQ2

IrrigationQ2

PriorityQ1

Abstract

Multi-criteria Decision making (MCDM) and Geographic Information System (GIS) are using in natural sciences for accurate Decision making and the evaluating parameters. Decision making in agriculture is influenced by different factors such as: production and Irrigation system expenses, water availability and quality, soil characteristics, climate conditions, labor skills, and cultural acceptability. The present study was conducted over an area of approximately 11081 ha, in the Izeh plain Khuzestan province, south west of Iran, during 2015-2016. Results of the comparison (for each factors pair) were described in term of integer values from 1 (equal value) to 9 (extreme different), where the higher number means the chosen factor is considered more important, in a greater level than the other factors being compared with. Analytic Hierarchy Process (AHP) is one of Multi Criteria Decision making method that was originally developed by Thomas L. Saaty (1980). In brief, it is a method to derive ratio scales from paired comparisons. The AHP has been used for optimizing. Spatial analysis to identify susceptible regions for pressurized Irrigation systems starts with representing each selected physical sub-criterion by a thematic layer, in which each point takes a value (1 to 9). For this purpose, the samples have been gathered in a laboratory or qualified according to that criterion. In order to layer all the criteria, data were gathered from satellite images and official sources at different available forms (digital and hard copy maps, tables and charts). Then, they were analyzed and treated using GIS and geostatistical tools. Each layer was obtained in raster data model. Spatial data on water characteristics, topography and climate (temperature map) were obtained from Khuzestan Water and Power Authority, which is the Iranian official source of agricultural spatial database. Data were available in digital format with 1/150, 000 scale. Major advantage of AHP is to formalize and renders systematic that is largely a subjective Decision making process and as a result facilitates ‘ accurate’ judgments, in which weights of criteria are also provided for decision maker, and sensitivity analysis is easy to conduct by using computer. The weights of each criterion were computed by using the geometric mean. After that, the weights were aggregated and each weight divides on aggregated weights, in order to be normalized. The normalized weights determine the Priority of criteria. The sum of all normalized weights in each Table was equal to unity. The AHP methodology says that prioritizing and weighting the criterions should be done at first. According to fundamental Saaty's scale for the comparative judgments and by performing pair-wise comparisons of criteria with respect to the object, here the comparison and calculation of criteria were done in 1st, 2nd and 3rd levels to localize Irrigation system as an example. Most large drip Irrigation systems employ some type of filter to prevent clogging of the small emitter flow path by small waterborne particles. New technologies are now being offered that minimize clogging. Considering conditions of water used for Irrigation in the study region, suspended materials (W sm) and biological materials (W bm) were seen in the water according to laboratory experiments. In the studied field, irrigating water was available by pumping from wells and filters were employed in the Irrigation system, but filters need to be changed after a while, so possibility of clogging in the drippers still exists. Therefore, these two alternatives have higher weight than available water. The amount of Sodium concentration (W na) was low and has less importance than other criteria except available water. Localized Irrigation systems designed for no leaching fraction. High electrical conductivity (EC) of soil and Irrigation water may accumulate salts in the root zone, but EC of the study region was almost low. However, alkaline water (refers to pH) could make sediments in the drippers In this study surface Irrigation system was identified as the best system for this region. The comparisons expose that the results from the proposed model are in good agreements with the results from field investigations. An additional benefit of the model is that the decision-maker can perform a more exhaustive conceptual comparison of the different decision components. As an extensive set of factors involved in selecting an Irrigation system has been included in the proposed model, it can be claimed to be a comprehensive and practical model. Hence, it can be used in selecting the Irrigation methods for various agricultural sites, thereby improving soil and water resources exploitation and productivity.

Cites

No record.

References

No record.

Cite

APA: Copy

Neissi, L., ALBAJI, M., & BROOMANDNASAB, S.. (2020). Evaluation of the best irrigation system by using Analytical Hierarchy Process (Case study: Izeh plain). IRANIAN WATER RESEARCH JOURNAL, 13(4 (35) ), 17-25. SID. https://sid.ir/paper/159882/en

Vancouver: Copy

Neissi L., ALBAJI M., BROOMANDNASAB S.. Evaluation of the best irrigation system by using Analytical Hierarchy Process (Case study: Izeh plain). IRANIAN WATER RESEARCH JOURNAL[Internet]. 2020;13(4 (35) ):17-25. Available from: https://sid.ir/paper/159882/en

IEEE: Copy

L. Neissi, M. ALBAJI, and S. BROOMANDNASAB, “Evaluation of the best irrigation system by using Analytical Hierarchy Process (Case study: Izeh plain),” IRANIAN WATER RESEARCH JOURNAL, vol. 13, no. 4 (35) , pp. 17–25, 2020, [Online]. Available: https://sid.ir/paper/159882/en

Related Journal Papers