IDENTITY OF HYDROLOGIC HOMOGENOUS REGIONS USING FUZZY C-MEANS METHOD

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.

RAYATI M.; GHARAVI M.; SAGHAFIAN B.

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

Journal Paper

Paper Information

Journal: IRAN-WATER RESOURCES RESEARCH Year:2011 | Volume:7 | Issue:2 (20) Page(s): 37-49

Download Full-Text

Persian Verion

View:

704

Download:

Cites:

Information Journal Paper

Title

IDENTITY OF HYDROLOGIC HOMOGENOUS REGIONS USING FUZZY C-MEANS METHOD

Author(s)

RAYATI M. | GHARAVI M. | SAGHAFIAN B. | Issue Writer Certificate

Keywords

HYDROLOGIC HOMOGENOUS REGIONSQ3

PRINCIPAL COMPONENTS ANALYSISQ3

FUZZY C-MEANQ3

CLUSTERING VALIDATION INDEXQ3

Abstract

Earth science methods for mapping, discretization, and separation of homogenous regions are recently used extensively to estimate the natural landscape response to hydrologic processes. For more homogenous study areas, the accuracy of the precision increases and the operation of water resources management system and/or natural wizard controls are less complicated. There are several methods to natural landscape discretization to identify homogenous regions. Because of continuity in landscape specifications, the use of Fuzzy classification/ clustering methods such as Fuzzy CMean (FCM) can be a desirable choice. In this study the FCM was used for discretization of homogenous regions in regards to runoff generation for Walnut Gulch Experimental Watershed (WGEW) located in southeast Arizona. This watershed is selected to benefit from the quality and adequacy of the hydrologic data. The process of choosing and preparation of data was addressed earlier in texts. The PRINCIPAL COMPONENTS ANALYSIS (PCA) was performed and then the three essential steps for making decisions based on the FCM method was taken; determination of appropriate fuzzifier; controlling of Confusion Index (CI), and optimization of number of clusters using validation indices. It was shown that use of these validation indices would surely not lead to determination of optimal number of clusters and therefore a rational method was proposed.

Cites

No record.

References

No record.

Cite

APA: Copy

RAYATI, M., GHARAVI, M., & SAGHAFIAN, B.. (2011). IDENTITY OF HYDROLOGIC HOMOGENOUS REGIONS USING FUZZY C-MEANS METHOD. IRAN-WATER RESOURCES RESEARCH, 7(2 (20)), 37-49. SID. https://sid.ir/paper/100275/en

Vancouver: Copy

RAYATI M., GHARAVI M., SAGHAFIAN B.. IDENTITY OF HYDROLOGIC HOMOGENOUS REGIONS USING FUZZY C-MEANS METHOD. IRAN-WATER RESOURCES RESEARCH[Internet]. 2011;7(2 (20)):37-49. Available from: https://sid.ir/paper/100275/en

IEEE: Copy

M. RAYATI, M. GHARAVI, and B. SAGHAFIAN, “IDENTITY OF HYDROLOGIC HOMOGENOUS REGIONS USING FUZZY C-MEANS METHOD,” IRAN-WATER RESOURCES RESEARCH, vol. 7, no. 2 (20), pp. 37–49, 2011, [Online]. Available: https://sid.ir/paper/100275/en

Related Journal Papers