Journal ArticleDOI
Three-state Markov model for differential persistence
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TLDR
In this paper, a mathematical model for annual flows of some rivers exhibiting differential persistence is described, which is a three-state Markov model, where states of the Markov process are defined as low, normal and high flows with respect to a lower and an upper truncation level.About:
This article is published in Journal of Hydrology.The article was published on 1982-02-01. It has received 5 citations till now. The article focuses on the topics: Markov model & Continuous-time Markov chain.read more
Citations
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Journal ArticleDOI
Analytical procedures for weekly hydrological droughts: a case of Canadian rivers
T. C. Sharma,U. S. Panu +1 more
TL;DR: In this paper, two entities of importance in hydrological droughts, viz. the longest duration, LT, and the largest magnitude, MT (in standardized terms) over a desired time period (which could also correspond to a specific return period) T, have been analysed for weekly flow sequences of Canadian rivers.
Journal ArticleDOI
A semi-empirical method for predicting hydrological drought magnitudes in the Canadian prairies
T. C. Sharma,U. S. Panu +1 more
TL;DR: In this paper, a hydrological drought magnitude (M T ) expressed in standardized terms is predicted on annual, monthly and weekly time scales for a sampling period of T years in streamflow data from the Canadian prairies.
Dissertation
Simulating rainfall change effects on runoff and soil erosion in submontane punjab
TL;DR: In this paper, the authors compared the performance of the traditional and modified Ia/S values with observed rainfall-runoff data and assessed potential changes in runoff and soil erosion with respect to long term changes in rainfall patterns in submontane region.
Journal ArticleDOI
Complex Markov models to simulate persistent streamflows
M. Bayazit,A. Bulu +1 more
TL;DR: In this paper, run-length characteristics and transition probabilities of such models are investigated by simulation for three different types of autocorrelation functions, and it is shown that these models can simulate persistent low flows as well as the phenomenon of differential persistence.
Journal ArticleDOI
Predicting Drought Durations and Magnitudes at Weekly Time Scale: Constant Flow as a Truncation Level
Tribeni C. Sharma,Umed S. Panu +1 more
TL;DR: In this paper, the authors developed a procedure for predicting a T-week drought duration, E(LT ) for a weekly flow sequence based on the concept of standardized hydrological index (SHI), which was modeled using the first order Markov chain model (MC-1) while being truncated at a constant flow level such as Q90 or Q95.
References
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Journal ArticleDOI
Run-sums of annual flow series
TL;DR: In this article, a general methodology for determining various run-sum properties of a given hydrologic process, based on the random sum of random variables, has been developed, and application of the method to some independent and dependent processes has been given.
Journal ArticleDOI
Markov Mixture Models for Drought Lengths
TL;DR: In this article, Markov mixture models combine a Markov model for transitions between low and normal streamflow states with a mixture model blending two normal subpopulations for generating synthetic streamflow records with long and severe droughts.
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A Comparative Study of Critical Drought Simulation
TL;DR: In this paper, a set of monthly streamflow records is generated and analyzed to give the set of synthetic critical periods, and the mean and standard deviation of their values are compared with the appropriate values for the historical critical periods.
Journal ArticleDOI
Birth-Death Models for differential persistence
TL;DR: The use of a birth-death model, together with a set of modeling precepts, shows that differential persistence is a phenomenon of considerable descriptive importance but at least in some planning situations does not carry corresponding prescriptive importance.