└── REGRESSION


/REGRESSION:
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 1 | package simpleregression;
 2 | 
 3 | public class Simpleregression {
 4 | 
 5 |     private static final double[] CN_A = {0.05, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9};
 6 |     private static final double[] CN_B = {0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.85, 0.9, 0.92};
 7 |     private static final double[] CN_C = {0.025, 0.05, 0.1, 0.15, 0.2, 0.25, 0.3, 0.35, 0.4, 0.45};
 8 | 
 9 |     
10 |     public static double calculateRunoff(double precipitation, double runoffCoefficient) {
11 |         double cn = lookupCNValue(runoffCoefficient);
12 |         double runoff = (precipitation - (0.2 * Math.pow(cn - 10, 2.0) / (cn + 0.8)));
13 |         return Math.max(runoff, 0); 
14 |     }
15 | 
16 |     private static double lookupCNValue(double runoffCoefficient) {
17 |         for (int i = 0; i < CN_B.length; i++) {
18 |             if (runoffCoefficient <= CN_B[i]) {
19 |                 return CN_A[i] * Math.exp(CN_C[i] * runoffCoefficient);
20 |             }
21 |         }
22 |         return 100; 
23 |     }
24 | 
25 |     public static double estimateSoilMoisture(double precipitation, double evapotranspiration, double initialSoilMoisture) {
26 |         
27 |         return initialSoilMoisture + precipitation - evapotranspiration;
28 |     }
29 | 
30 |     public static void main(String[] args) {
31 |         double precipitation = 50; 
32 |         double runoffCoefficient = 0.3; 
33 |         double evapotranspiration = 20; 
34 |         double initialSoilMoisture = 100; 
35 | 
36 |         double runoff = calculateRunoff(precipitation, runoffCoefficient);
37 |         double finalSoilMoisture = estimateSoilMoisture(precipitation, evapotranspiration, initialSoilMoisture);
38 | 
39 |         System.out.println("Estimated Runoff: " + runoff + " mm");
40 |         System.out.println("Final Soil Moisture: " + finalSoilMoisture + " mm");
41 |     }
42 | }
43 | 


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