SOIL QUALITY ASSESSMENT OF A SEMI-ARID REGION USING FUZZY LOGIC AND ANALYTIC HIERARCHY PROCESS TECHNIQUE (CASE STUDY: TELOBIN, SEMNAN PROVINCE)

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.

FARIABI AZAR; MATINFAR HAMID REZA

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

Journal Paper

Paper Information

Journal: Environmental Sciences Year:2017 | Volume:15 | Issue:3 Page(s): 187-202

Download Full-Text

Persian Verion

View:

743

Download:

Cites:

Information Journal Paper

Title

SOIL QUALITY ASSESSMENT OF A SEMI-ARID REGION USING FUZZY LOGIC AND ANALYTIC HIERARCHY PROCESS TECHNIQUE (CASE STUDY: TELOBIN, SEMNAN PROVINCE)

Author(s)

FARIABI AZAR | MATINFAR HAMID REZA | Issue Writer Certificate

Keywords

FUZZY LOGICQ1

ANALYTIC HIERARCHY PROCESSQ1

SOIL QUALITYQ1

PHYSICAL INDEXQ1

CHEMICAL INDEXQ1

TOPOGRAPHY INDEXQ1

Abstract

Introduction: SOIL QUALITY is considered to be one of the important indicators of agricultural and the environmental sustainability. Based on sustainable agricultural goals and environmental protection, SOIL QUALITY is defined as “the capacity of a specific kind of soil for sustaining plant and animal productivity, maintaining or enhancing water and air quality and supporting human health and habitation” (Doran et al., 1996). The main objective of this study is to integrate the AHP and FUZZY LOGIC systems to assess SOIL QUALITY based on physical, chemical soil properties and their topographical characteristics.Materials and methods: The study was carried out in the Telobin area located in northeastern Shahrood County, Iran. The thermal regime of the study area is Mesic and its moisture regime is Xeric. Soil was sampled at 36 locations across the study area, describing all soil variability. Soil samples were analyzed for their physical and chemical soil properties and incorporated into topographical characteristics for further analysis. A map of each soil parameter and topographic index was created using the Inverse Distance Weighting Model. Thereafter, a map of SOIL QUALITY regarding physical, chemical and topographical indicators was created using integrated fuzzy and AHP approaches. The AHP Technique was used for weighting all the aforementioned indicators.Results and discussion: In terms of SOIL QUALITY, the results show that, 3.01% was classified as high quality, 49.57% (2099.87 ha) as poor quality, 44.33% (1877.33 ha) as average quality and 3.5% (50/131 hectares) as good quality. SOIL QUALITY was determined by using all indicators, but there are always a few important indicators with a higher weight as key indicators. In this study soil depth index (from physical indicators), organic carbon index (from the CHEMICAL INDEX) and slope index (from topographic indicators) have a higher weight. Therefore, it was found that using a hierarchical analysis-FUZZY LOGIC method for the soil in studied area to determine the quality is well-established. Field observations of the region show that in areas with moderate SOIL QUALITY, its use is forest and pastureland. In areas with good SOIL QUALITY, the amount of organic carbon and potassium is high and PH is in the range of 7-6, and the absorption of nutrients is high in these areas but, in areas where the SOIL QUALITY is poor or very poor, the amount of organic carbon is low or negligible and the slopes of the area are more than 30%.Conclusion: The results of this study show that the organic carbon has the highest impact on the quality of soil in the studied area and, about the term of SOIL QUALITY, most of the area has poor quality. Therefore, it can be argue that the use of the combination of fuzzy and AHP methods in GIS can categorize the status of SOIL QUALITY to the quantitative levels in different groups. Using the fuzzy technique and the opinion of experts can allow us to create a database. In general, the FUZZY LOGIC approach is considered as a very suitable tool for modelling the physical, chemical, and topographic quality of the area that are considered as input parameters.

Cites

No record.

References

No record.

Cite

APA: Copy

FARIABI, AZAR, & MATINFAR, HAMID REZA. (2017). SOIL QUALITY ASSESSMENT OF A SEMI-ARID REGION USING FUZZY LOGIC AND ANALYTIC HIERARCHY PROCESS TECHNIQUE (CASE STUDY: TELOBIN, SEMNAN PROVINCE). ENVIRONMENTAL SCIENCES, 15(3 ), 187-202. SID. https://sid.ir/paper/117389/en

Vancouver: Copy

FARIABI AZAR, MATINFAR HAMID REZA. SOIL QUALITY ASSESSMENT OF A SEMI-ARID REGION USING FUZZY LOGIC AND ANALYTIC HIERARCHY PROCESS TECHNIQUE (CASE STUDY: TELOBIN, SEMNAN PROVINCE). ENVIRONMENTAL SCIENCES[Internet]. 2017;15(3 ):187-202. Available from: https://sid.ir/paper/117389/en

IEEE: Copy

AZAR FARIABI, and HAMID REZA MATINFAR, “SOIL QUALITY ASSESSMENT OF A SEMI-ARID REGION USING FUZZY LOGIC AND ANALYTIC HIERARCHY PROCESS TECHNIQUE (CASE STUDY: TELOBIN, SEMNAN PROVINCE),” ENVIRONMENTAL SCIENCES, vol. 15, no. 3 , pp. 187–202, 2017, [Online]. Available: https://sid.ir/paper/117389/en

Related Journal Papers