REGIONAL FLOOD FREQUENCY ANALYSIS APPLICATION OF CANONICAL KRIGING METHOD IN MAZANDARAN PROVINCE WATERSHEDS

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.

SHEIKH ZAHRA; DEHVARI ABDOLHAMID; EBRAHIMI MAHDEIEH

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

Journal Paper

Paper Information

Journal: JOURNAL OF WATERSHED MANAGEMENT RESEARCH Year:2017 | Volume:7 | Issue:14 Page(s): 38-47

Download Full-Text

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

Persian Verion

View:

596

Download:

Cites:

Information Journal Paper

Title

REGIONAL FLOOD FREQUENCY ANALYSIS APPLICATION OF CANONICAL KRIGING METHOD IN MAZANDARAN PROVINCE WATERSHEDS

Author(s)

SHEIKH ZAHRA | DEHVARI ABDOLHAMID | EBRAHIMI MAHDEIEH | Issue Writer Certificate

Keywords

CANONICAL CORRELATION ANALYSISQ1

GEOSTATISTICSQ2

ORDINARY KRIGINGQ2

PHYSIOGRAPHICAL SPACEQ1

Abstract

Regional analysis is the stability method to improve estimates of flood frequency, which has become one of the dynamic sectors in hydrology and the new theories are testing, constantly. Application of geostatistical method is an innovation in this field for regional flood analysis. This technique is based on the interpolation of hydrological variables in the PHYSIOGRAPHICAL SPACE instead of using common geographical space. However, the hydrological, climatological and physiographical information of 38 river basin information of watersheds inside of Mazandaran province were obtained and Canonical Kriging method was used for regional flood analysis whit return periods of 10, 20, 50 and 100 years. The CANONICAL CORRELATION ANALYSIS was used to design physiographic space by the geomorphoclimatical variables affecting the flood. The Gaussian model had the best fit to semi-variogram model in all return periods and the geostatistical method of ORDINARY KRIGING was used for regionalization. Results evaluated using Jack Knife mutual procedure and the five statistical indexes. The performance of NASH was obtained over than 0.9 in all of return periods, which implies the accurate and acceptable predictions of flood in ungauged basins. The other indicators led to satisfying results, too. According to the results of relative statistical indicators accuracy regional estimates improves as long as return periods increase. These results showed that application of Canonical Kriging method is effective and practical approach for regional flood analysis.

Cites

No record.

References

No record.

Cite

APA: Copy

SHEIKH, ZAHRA, DEHVARI, ABDOLHAMID, & EBRAHIMI, MAHDEIEH. (2017). REGIONAL FLOOD FREQUENCY ANALYSIS APPLICATION OF CANONICAL KRIGING METHOD IN MAZANDARAN PROVINCE WATERSHEDS. JOURNAL OF WATERSHED MANAGEMENT RESEARCH, 7(14), 38-47. SID. https://sid.ir/paper/230302/en

Vancouver: Copy

SHEIKH ZAHRA, DEHVARI ABDOLHAMID, EBRAHIMI MAHDEIEH. REGIONAL FLOOD FREQUENCY ANALYSIS APPLICATION OF CANONICAL KRIGING METHOD IN MAZANDARAN PROVINCE WATERSHEDS. JOURNAL OF WATERSHED MANAGEMENT RESEARCH[Internet]. 2017;7(14):38-47. Available from: https://sid.ir/paper/230302/en

IEEE: Copy

ZAHRA SHEIKH, ABDOLHAMID DEHVARI, and MAHDEIEH EBRAHIMI, “REGIONAL FLOOD FREQUENCY ANALYSIS APPLICATION OF CANONICAL KRIGING METHOD IN MAZANDARAN PROVINCE WATERSHEDS,” JOURNAL OF WATERSHED MANAGEMENT RESEARCH, vol. 7, no. 14, pp. 38–47, 2017, [Online]. Available: https://sid.ir/paper/230302/en

Related Journal Papers