scholar.google.com › citations
In this article, a case study is presented on estimating the probability of rainfall using response surface method (RSM).
After analyzing real data, a third-order surface model is presented for estimating the rainfall probability (the input parameters are the daily average.
In this paper, evidence is presented that this extremely heavy rain may have been produced by cold frontogenesis aloft (CFA). It is shown that what was earlier ...
People also ask
How do you calculate the probability of rain?
What are the methods to predict rainfall?
What are the characteristics of the rainfall?
What does 90% chance of rain mean?
We employ the response surface model (RSM) proposed by Kostić et al. (2016) to determine the changes in the river flow rate (q i ) in different climate ...
The probability distributions are derived from a storm sample which, in its simplest form, can be thought of as a list of all storms and their parameters ...
Jan 4, 2016 · In the present paper we propose a new model of monthly river flow rate as a simple nonlinear function of air temperature and rainfall.
3.4 Probability analysis. A rather simple, graphical method to determine the probability or frequency of occurrence of yearly or seasonal rainfall will be ...
Dec 24, 2023 · We present a new computationally efficient methodology to estimate the probability of rainfall-induced slope failure based on mechanical probabilistic slope ...
Jan 15, 2019 · This study demonstrates an approach to probabilistic yield estimation using impact response surfaces (IRSs).
Dec 20, 2021 · This paper integrates fuzzy thresholds to the response surface tool. Such integration is not straightforward when response surfaces also have their own ...
Missing: Determination | Show results with:Determination