675 
TABLE 5 : Expert Ranking Matrix System 
VOL 
TIM 
INT 
DEP 
DET 
CHA 
VOL 
W11 
W12 
W13 
W14 
W15 
W16 
TIM 
W21 
W22 
W23 
W24 
W25 
W26 
INT 
W31 
W32 
W33 
W34 
W35 
W36 
DEP 
W41 
W42 
W43 
W44 
W45 
W46 
DET 
W51 
W52 
W53 
W54 
W55 
W66 
CHA 
W61 
W62 
W63 
W64 
W65 
W66 
Note : Wij = weights generated from probability assigned on each factor i 
and j. 
All these factors with their corresponding weights are analysed. In 
this case the higher weight will reflect a larger probability that flood 
will occur. For example in a basin of more that 80 % consisted of forest, 
the weight assigned will be much lower than of a basin that consisted 
largely barren or urban areas. 
Figure 1 shows the flood prone areas under normal rainfall intensity 
of the study area after performing the risk probability analysis. 
Fig. 1 : Flood Prone Area (Dark Color) After Performing 
The Risk Probability Analysis.