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Appendix B- SWMP

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INNOVYZE ENSEMBLE STATISTICS UTILITY
(c) Innovyze 2020

6 Total No. of Ensembles: 70

7 No. of Storms per ensemble: 10
No. of AEP Bands: 7

Object Name:
Result type:

 

 

13 Results:

Linkl_High Flow 1
Max Flow

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

AEP: 1% - Max Flow (m*3/s)
Ensemble name Storm 1 Storm 2 Storm 3 Storm 4 Storm 5 Storm 6 Storm 7 Storm 8 Storm 9 Storm 10 Average Std. Dev. Median
ECN_lpcet_10min 0.0163 0.0179 0.0144 0.0194 0.0192 0.0192 0.0182 0.0161 0.0215 0.0147 0.0177 0.0022 0.0181
ECN_lpet_15min 0.0202 0.0176 0.0121 0.0107 0.0179 0.0162 0.0155 0.0240 0.0191 0.0119 0.0165 0.0039 0.0169
ECN_lpet_1_Shr 0.0013 0.0114 0.0091 0.0025 0.0104 0.0086 0.0075 0.0127 0.0077 0.0092 0.0080 0.0034 0.0088
ECN_lp¢et_lhr 0.0204 0.0151 0.0078 0.0102 0.0042 0.0125 0.0060 0.0075 0.0097 0.0093 0.0103 0.0045 0.0095
ECN_lpet_20min 0.0167 0.0232 0.0135 0.0124 0.0122 0.0135 0.0105 0.0135 0.0143 0.0155 0.0145 0.0033 0.0135
ECN_lpet_25min 0.0155 0.0229 0.0144 0.0142 0.0166 0.0122 0.0117 0.0153 0.0129 0.0174 0.0153 0.0031 0.0148
ECN_lpcet_2hr 0.0056 0.0005 0.0045 0.0090 0.0079 0.0040 0.0050 0.0095 0.0058 0.0028 0.0053
ECN_lpet_30min 0.0167 0.0150 0.0217 0.0103 0.0113 0.0214 0.0115 0.0132 0.0161 0.0127 0.0150 0.0038 0.0141
ECN_lpcet_3hr 0.0054 0.0014 0.0070 0.0006 0.0081 0.0099 0.0054 0.0034 0.0062
ECN_lpet_45min 0.0225 0.0202 0.0091 0.0141 0.0125 0.0078 0.0096 0.0174 0.0051 0.0127 0.0131 0.0053 0.0126
CRITICAL DURATION : The critical duration for the 1% AEP is the ensemble ECN_lpct_10min.
The median pattern for this ensemble is storm 7 (storm name : ECN_1pct_10min_7).
The pattern with the greatest <Max Flow> for this ensemble is storm 9 (storm name : ECN_1pct_10min_9).
AEP: 10% - Max Flow (m*3/s)
Ensemble name Storm 1 Storm 2 Storm 3 Storm 4 Storm 5 Storm 6 Storm 7 Storm 8 Storm 9 Storm 10 Average Std. Dev. Median
ECN_10pet_10min 0.0000 0.0000 0.0000
ECN_10pet_15min 0.0002 0.0001 0.0002 0.0000 0.0002
ECN_10pet_1_Shr 0.0000 0.0000 0.0000
ECN_10pet_1hr 0.0003 0.0037 0.0020 0.0017 0.0020
ECN_10pet_20min 0.0006 0.0001 0.0074 0.0084 0.0041 0.0038 0.0040
ECN_10pet_25min 0.0081 0.0071 0.0057 0.0070 0.0010 0.0064
ECN_10pet_2hr 0.0025 0.0025 0.0000 0.0025
ECN_10pet_30min 0.0002 0.0008 0.0037 0.0016 0.0015 0.0005
ECN_10pet_3hr 0.0036 0.0036 0.0000 0.0036
ECN_10pet_45min 0.0028 0.0028 0.0000 0.0028
CRITICAL DURATION : The critical duration for the 10% AEP is the ensemble ECN_10pct_25min.
The median pattern for this ensemble is storm 2 (storm name : ECN_10pct_25min_6).
The pattern with the greatest <Max Flow> for this ensemble is storm 1 (Storm name : ECN_10pct_25min_2).
AEP: 2% - Max Flow (m*3/s)
Ensemble name Storm 1 Storm 2 Storm 3 Storm 4 Storm 5 Storm 6 Storm 7 Storm 8 Storm 9 Storm 10 Average Std. Dev. Median
ECN_2pet_10min 0.0119 0.0126 0.0099 0.0137 0.0132 0.0136 0.0129 0.0126 0.0163 0.0090 0.0126 0.0019 0.0128
ECN_2pet_15min 0.0144 0.0111 0.0078 0.0082 0.0153 0.0145 0.0096 0.0211 0.0163 0.0089 0.0127 0.0041 0.0128
ECN_2pet_1_Shr 0.0059 0.0052 0.0051 0.0047 0.0062 0.0057 0.0088 0.0060 0.0013 0.0054
ECN_2pcet_lhr 0.0178 0.0124 0.0060 0.0081 0.0023 0.0101 0.0019 0.0075 0.0018 0.0075 0.0051 0.0067
ECN_2pet_20min 0.0156 0.0203 0.0088 0.0058 0.0099 0.0107 0.0085 0.0104 0.0088 0.0128 0.0112 0.0039 0.0101
ECN_2pet_25min 0.0069 0.0202 0.0091 0.0119 0.0114 0.0092 0.0097 0.0129 0.0093 0.0149 0.0116 0.0036 0.0106
ECN_2pcet_2hr 0.0068 0.0025 0.0047 0.0021 0.0047
ECN_2pet_30min 0.0141 0.0115 0.0192 0.0084 0.0091 0.0164 0.0095 0.0110 0.0137 0.0105 0.0123 0.0033 0.0113
ECN_2pet_3hr 0.0076 0.0076 0.0000 0.0076
ECN_2pet_45min 0.0199 0.0177 0.0047 0.0111 0.0085 0.0060 0.0077 0.0143 0.0036 0.0101 0.0103 0.0052 0.0093
CRITICAL DURATION : The critical duration for the 2% AEP is the ensemble ECN_2pct_10min.
The median pattern for this ensemble is storm 7 (storm name : ECN_2pct_10min_7).
The pattern with the greatest <Max Flow> for this ensemble is storm 9 (storm name : ECN_2pct_10min_9).
AEP: 20% - Max Flow (m*3/s)
*
| Ensemble name Storm 1 Storm 2 Storm 3 Storm 4 Storm 5 Storm 6 Storm 7 Storm 8 Storm 9 Storm 10 Average Std. Dev. Median
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