1) Rainfall data of 4 stations in the same region are given in Table. a) Estimate the missing data of the station Y by weighted arithmetic mean method b) Test the homogeneity of the data in station (Y) using the data of stations (X1, X2 and X3) with double mass curve method. Year X1 2010 811 2011 881 2012 941 2013 751 2014 741 2015 1021 2016 901 2017 1991 X2 691 771 811 691 671 891 801 1031 X3 641 701 761 611 576 801 741 911 Y 200 250 300 600 ? 825 730 950

1) Rainfall data of 4 stations in the same region are given in Table. a) Estimate the missing data of the station Y by weighted arithmetic mean method b) Test the homogeneity of the data in station (Y) using the data of stations (X1, X2 and X3) with double mass curve method. Year X1 2010 811 2011 881 2012 941 2013 751 2014 741 2015 1021 2016 901 2017 1991 X2 691 771 811 691 671 891 801 1031 X3 641 701 761 611 576 801 741 911 Y 200 250 300 600 ? 825 730 950

Structural Analysis

6th Edition

ISBN:9781337630931

Author:KASSIMALI, Aslam.

Publisher:KASSIMALI, Aslam.

Chapter2: Loads On Structures

Section: Chapter Questions

Problem 1P

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Concept explainers

Probability, risk and uncertainty analysis for hydrological design

It gives a framework that is financially critical for finding the exceptional designs of hydrological systems with a reduced cost in total inclusive of the project cost and the disaster mitigation cost. But there would be hardly any assessment of a decent quality damage function. Hence, errors in demonstrating the hydrologic events, incorrect model parameters, and so on may occur. Here, we will discuss a specific hydrological design that of a detention basin for studying and understanding the risk-based procedure, uncertainties, and probability analysis by following a systematic framework.

Question

1) Rainfall data of 4 stations in the same region are given in Table.
a) Estimate the missing data of the station Y by weighted arithmetic mean method
b) Test the homogeneity of the data in station (Y) using the data of stations (X1, X2 and X3)
with double mass curve method.
Year
X1
2010 811
2011
881
2012 941
2013 751
2014
741
2015 1021
2016 901
2017 1991
2018 1241
2019 1011
X2
691
771
811
691
671
891
801
1031
1151
931
X3
641
701
761
611
576
801
741
911
1001
821
200
250
300
600
?
825
730
950
1040
800

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