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Journal ArticleDOI

A method of streamflow drought analysis

Emir Zelenhasić, +1 more
- 01 Jan 1987 - 
- Vol. 23, Iss: 1, pp 156-168
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This article is published in Water Resources Research.The article was published on 1987-01-01. It has received 295 citations till now. The article focuses on the topics: Streamflow.

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Citations
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A review of drought concepts

TL;DR: In this paper, the authors provide a review of fundamental concepts of drought, classification of droughts, drought indices, historical Droughts using paleoclimatic studies, and the relation between DAs and large scale climate indices.
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Low flow hydrology: a review

TL;DR: Low-flow hydrology is a discipline which deals with minimum flow in a river during the dry periods of the year as mentioned in this paper, and it has been extensively studied in the literature.
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Hydrological drought explained

TL;DR: A review of the current state of scientific knowledge of definitions, processes, and quantification of hydrological drought is given in this paper, where the influence of climate and terrestrial properties (geology, land use) on hydrologic drought characteristics and the role of storage is discussed.
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Drought modeling-A review

TL;DR: In this paper, Mishra et al. reviewed different methodologies used for drought modeling, which include drought forecasting, probability based modeling, spatio-temporal analysis, use of Global Climate Models (GCMs) for drought scenarios, land data assimilation systems for drought modelling, and drought planning.
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Regional Drought Assessment Based on the Reconnaissance Drought Index (RDI)

TL;DR: In this article, the Reconnaissance Drought Index (RDI) is proposed together with the well known Standardized Precipitation Index (SPI) and the method of deciles.
References
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Book

Modern probability theory and its applications

TL;DR: Probability Theory as the study of Mathematical Models of Random Phenomena as mentioned in this paper is a generalization of probability theory for the study and analysis of statistical models of random variables.
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A Stochastic Model for Flood Analysis

TL;DR: In this article, a stochastic model based on the theory of extreme values is presented to describe and analyze excessive streamflows, and the passage time T(x) of the process x(t) relevant to the risk evaluation in the design of hydraulic structures is also considered.
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Statistical Analysis of Hydrologic Critical Droughts

TL;DR: In this article, an analytical formulation of critical droughts was derived by making use of the theories of random number of random variables and runs and the results obtained are valid for independent and lag-one Markov processes only.
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On the time when the extreme flood occurs

TL;DR: The time of occurrence T(t) of the largest momentary flood exceedance in some time interval (0, t] is a stochastic process as discussed by the authors, where the counting process for exceedances is a nonhomogeneous Poissonian process.