2. Given below are the rainfall data in station S with missing observations for more than three months. Rainfall data in stations A, B and C as index stations are also given. Reconstitute the annual total and the missing monthly values of rainfall in station S using the normal-ratio method and regression correlation analysis. Index Stations Station S A B C Month Normal (2007) (15yrs) 5.6 Total Total Normal Total Normal Total Normal (2007) (15yrs) (2007) 2.0 (15yrs) (2007) (15yrs) 5.9 January February 15.4 2.1 2.0 22.1 42.4 5.5 74.1 5.5 2.5 7.3 5.7 2.8 20.1 March 8.0 31.6 14.1 7.6 10.0 13.8 2.6 33.5 37.0 April Мay 22.1 53.3 29.1 41.3 8.3 25.3 24.1 missing missing 293.6 127.7 127.4 208.4 189.2 141.5 152.9 June 490.7 524.0 263.3 550.1 273.9 241.7 239.8 314.4 July August September missing 430.5 489.9 474.2 327.8 582.9 277.7 288.4 531.1 596.0 704.2 448.7 455.1 414.6 224.7 296.7 473.4 407.0 292.6 371.1 303.8 339.7 262.7 October missing 54.8 195.0 88.5 82.0 68.6 205.0 240.1 248.4 November 78.2 45.0 48.2 47.3 111.0 59.6 26.3 December 13.4 23.1 17.8 18.4 0.6 22.1 35.8 17.9 ΤΟTAL: missing 2804.5 2439.1 1661.9 2311.7 1884.7 1612.4 1666.1

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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.