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Information Journal Paper

Title

DEVELOPMENT OF A NEW COMPREHENSIVE MULTIVARIATE AGGREGATE DROUGHT INDEX (ADI) BASED ON PRINCIPAL COMPONENT ANALYSIS (PCA) FOR HYDRO- METEOROLOGICAL DROUGHTS ASSESSMENT IN THE SOUTHEAST OF IRAN (CASE STUDY: PISHIN DAM BASIN)

Pages

  23-28

Abstract

 1. Introduction: A drought is a prolonged period ofwater deficit and usually occurs when an area does not receive significant precipitation for a sustained period of time, say several months (Chen, Kuo, & Yu, 2009; Linsely, Kohlerm, & Paulhus, 1959). The effects of drought often accumulate slowly over a considerable period of time that may linger for several years even after the termination of drought. Therefore, some authors have called it a creeping phenomenon (Wilhite, 2000). It is difficult to precisely determine the onset and end of a drought event. A drought can be short, lasting for a just a few months, or it may persist for years before climatic conditions return to normal. Drought considered as the most complex, but the least understandable phenomenon of all the natural hazards affecting more people than any other hazards (Mishra & Desai, 2005). Droughts can be classified into four categories as meteorological, hydrological, agricultural and socioeconomic (American Meteorological Society, 1997; Palmer, 1965; White & Walcott, 2009). The preparedness and planning for a drought depend on the information about its areal extent, severity and duration (Mishra & Singh, 2011). This information can be obtained through drought monitoring that is usually done with the use of drought indices (DIs) which provide information to decision makers about drought characteristics. Thus, these indices can be used to initiate drought action plans.Prediction of droughts is useful for early warning that may reduce the response time and consequently the impact of a drought. For many regions, especially semi-arid regions, limited knowledge is available about the diurnal and seasonal cycles of land surface interactions. Semi-arid areas pose a challenge due to large contrasts between dry and wet conditions within a temporal cycle (Schuttemeyer, 2005). Meteorological drought is generally an indicator of other drought types with below normal precipitation, and usually occurs first before other drought types do. The seasonality and climatological...

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    APA: Copy

    NAZARIPOUR, HAMID. (2015). DEVELOPMENT OF A NEW COMPREHENSIVE MULTIVARIATE AGGREGATE DROUGHT INDEX (ADI) BASED ON PRINCIPAL COMPONENT ANALYSIS (PCA) FOR HYDRO- METEOROLOGICAL DROUGHTS ASSESSMENT IN THE SOUTHEAST OF IRAN (CASE STUDY: PISHIN DAM BASIN). GEOGRAPHY AND ENVIRONMENTAL HAZARDS, 4(15), 23-28. SID. https://sid.ir/paper/356728/en

    Vancouver: Copy

    NAZARIPOUR HAMID. DEVELOPMENT OF A NEW COMPREHENSIVE MULTIVARIATE AGGREGATE DROUGHT INDEX (ADI) BASED ON PRINCIPAL COMPONENT ANALYSIS (PCA) FOR HYDRO- METEOROLOGICAL DROUGHTS ASSESSMENT IN THE SOUTHEAST OF IRAN (CASE STUDY: PISHIN DAM BASIN). GEOGRAPHY AND ENVIRONMENTAL HAZARDS[Internet]. 2015;4(15):23-28. Available from: https://sid.ir/paper/356728/en

    IEEE: Copy

    HAMID NAZARIPOUR, “DEVELOPMENT OF A NEW COMPREHENSIVE MULTIVARIATE AGGREGATE DROUGHT INDEX (ADI) BASED ON PRINCIPAL COMPONENT ANALYSIS (PCA) FOR HYDRO- METEOROLOGICAL DROUGHTS ASSESSMENT IN THE SOUTHEAST OF IRAN (CASE STUDY: PISHIN DAM BASIN),” GEOGRAPHY AND ENVIRONMENTAL HAZARDS, vol. 4, no. 15, pp. 23–28, 2015, [Online]. Available: https://sid.ir/paper/356728/en

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