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

Persian Verion

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

video

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

sound

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

Persian Version

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

View:

1,630
Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

0
Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

2

Information Journal Paper

Title

COMPARATIVE STUDY OF THE METEOROLOGICAL DROUGHT INDICES (SPI AND SIAP) USING DATA MINING METHOD (CASE STUDY OF KERMANSHAH PROVINCE)

Pages

  417-426

Abstract

 Precipitation is an important variable which is used in definition of DROUGHT. Based on precipitation amounts, some indices are devised for DROUGHT monitoring including, the Standardized Precipitation Index (SPI) and the Standard Index of Annual Precipitation (SIAP). Each of these DROUGHT indices are classified into some classes so that each class descripts a given severity of DROUGHT. Investigation of simultaneously occurrence situation for two DROUGHT indices can be an appropriate measure to evaluate the agreement of indices. ASSOCIATION RULES in DATA MINING is used to find rules and patterns in database. In this paper, two DROUGHT indices, SPI and SIAP, were computed at 11 meteorological stations belong to Ministry of Energy in KERMANSHAH province. Then, based on ASSOCIATION RULES, simultaneously occurrence situation of DROUGHT severity classes for both indices were determined in seasonally, half yearly and yearly time scales. Results showed that there is not any good agreement between most of DROUGHT category from these indices (less than 50 percent) and Shows different behavior of DROUGHT.

Cites

References

  • No record.
  • Cite

    APA: Copy

    GHORBANI, KH., KHALILI, ALI, ALAVIPANAH, S.K., & NAKHAEIZADEH, GH.R.. (2010). COMPARATIVE STUDY OF THE METEOROLOGICAL DROUGHT INDICES (SPI AND SIAP) USING DATA MINING METHOD (CASE STUDY OF KERMANSHAH PROVINCE). JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY), 24(3), 417-426. SID. https://sid.ir/paper/141508/en

    Vancouver: Copy

    GHORBANI KH., KHALILI ALI, ALAVIPANAH S.K., NAKHAEIZADEH GH.R.. COMPARATIVE STUDY OF THE METEOROLOGICAL DROUGHT INDICES (SPI AND SIAP) USING DATA MINING METHOD (CASE STUDY OF KERMANSHAH PROVINCE). JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY)[Internet]. 2010;24(3):417-426. Available from: https://sid.ir/paper/141508/en

    IEEE: Copy

    KH. GHORBANI, ALI KHALILI, S.K. ALAVIPANAH, and GH.R. NAKHAEIZADEH, “COMPARATIVE STUDY OF THE METEOROLOGICAL DROUGHT INDICES (SPI AND SIAP) USING DATA MINING METHOD (CASE STUDY OF KERMANSHAH PROVINCE),” JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY), vol. 24, no. 3, pp. 417–426, 2010, [Online]. Available: https://sid.ir/paper/141508/en

    Related Journal Papers

    Related Seminar Papers

  • No record.
  • Related Plans

  • No record.
  • Recommended Workshops






    Move to top