Modeling Hydrologic Change: Statistical Methods - Chapter 3 pdf

... TABLE 3. 4 Sample Variances 1.764 0.514 0.529 0.694 1.272 1.147 1.257 2.829 1.1 13 0.882 0.955 0.752 1 .32 5 0.880 1.777 0.627 0. 231 1.462 3. 305 0.766 3. 042 0.024 0.514 0.484 0.445 1.4 93 0.248 2. 033 3. 233 ... upper, one-tailed lower, and two-tailed hypotheses related to the hydrologic effects of afforestation. 3- 1 2 Develop one-tailed upper, one-tailed lower, and two-tailed...

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... magnitude 13. 1.1 Overview of Method 13. 1.2 Illustrative Case Study: Watts Branch 13. 2 Data Requirements 13. 2.1 Rainfall Data Records 13. 2.2 Streamflow Records 13. 2 .3 GIS Data 13. 3 Developing a Land-Use ... Series 13. 4 Modeling Issues 13. 4.1 Selecting a Model 13. 4.2 Calibration Strategies 13. 4 .3 Simulating a Stationary Annual Maximum-Discharge Series 13. 5 Compari...

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... 17 .33 18.48 240 11 .34 12.11 13. 54 15 .38 17 .37 270 10 10.89 12.54 14.67 16.96 30 0 11 .34 12.11 13. 54 15 .38 17 .37 33 0 15 15.45 16.27 17 .33 18.48 36 0 20 20.00 20.00 20.00 20.00 30 25 24.55 23. 73 22.67 ... −0.08 17 −0 .35 31 −0 .38 45 −0.12 4 −0.24 18 −0.41 32 −0. 23 46 0. 13 5 −0 .34 19 −0 .37 33 −0. 03 47 0 .33 6 −0 .37 20 −0.24 34 0.21 48 0.49 7 −0 .34 21 −0. 03 35...

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... 0.55 93 7190 3. 856729 34 0.57 63 7190 3. 856729 35 0.5 932 7 130 3. 8 530 90 36 0.6102 6970 3. 8 432 33 37 0.6271 6 930 3. 840 733 38 0.6441 6870 3. 836 957 39 0.6610 6750 3. 82 930 4 40 0.6780 635 0 3. 802774 41 ... 9640 3. 984077 18 0 .30 51 9560 3. 980458 19 0 .32 20 931 0 3. 968950 20 0 .33 90 8850 3. 9469 43 21 0 .35 59 8690 3. 939 020 22 0 .37 29 8600 3. 934 499...

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... 2.47 2.59 3. 79 4.95 3. 93 2. 53 3.76 3. 35 5.56 5.28 5.82 4.90 3. 31 4.97 3. 99 4.52 4.81 6.65 3. 35 5 .35 3. 86 4.95 5.50 3. 65 4 .31 4.58 2.12 3. 51 4.42 2.91 2.42 3. 88 5 .34 4.17 4.55 3. 25 3. 41 2.24 2. 13 4.68 ... 1095 1965 230 0 230 0 1 934 1680 2057 1950 2290 233 2 1966 2041 2041 1 935 137 0 16 93 1951 30 20 30 69 1967 2460 2460 1 936 1181 1445 1952 2200 2221 1968 2...

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... 29.0 13 36 1942 2780 24 30 .0 14 100 19 43 1 930 15 31 .0 15 0 1944 1780 14 33 .0 16 4 1945 1 630 10 33 .5 17 49 1946 2650 23 34.0 18 25 1947 2090 18 35 .0 19 1 1948 530 1 36 .0 20 36 1 1949 1060 5 37 .0 ... 22 43 2000 2 43 0 .37 1946 2 132 1740 39 2 0.29 1947 2118 1460 658 0.28 1948 2619 2060 559 0.64 1949 2174 1 530 644 0 .32 1950 36 34 1600 2 034 1 .37 1951 231 3 1690 6 2...

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... 6 b 30 8 10401214 11 1 2 21 4 6 31 8 10 41 12 15 b 12 1 2 22 5 6 32 9 11 b 42 13 15 13 2 b 3 23 5 7 33 9 11 43 13 15 14 2 3 24 6 b 734 10 b 11 44 14 b 16 15 3 b 4 b 25 6 8 b 35 10 12 45 14 16 16 3 b 4266 ... ++ ++ −− −− 35 42 7 — 8 27 18 9 11 — 62 49 13 16 — 51 57 6 — 6 43 18 25 27 — 26 54 28 — 28 30 53 23 — 25 41 41 0 1.5 — 64 57 7 8 — 46 33 13 16 — 19 32 13 —...

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... 1. 031 0.8487 0.0680 23 3.92 1 23 0.95 83 1.1 03 0.8650 0.0 933 24 ∞ 1 24 1.0000 ∞ 1.0000 0.0000 a Log (x) = {3. 642, 3. 550, 3. 3 93, 3. 817, 3. 7 13, 3. 674, 3. 435 , 3. 7 23, 3. 818, 2. 739 , 3. 835 , 3. 581, 3. 814, 3. 919, ... 2 0 .33 33 4 4 2 0.0286 2 3 2 0.2000 4 4 3 0.11 43 2 4 2 0. 133 3 4 5 2 0.0159 2 5 2 0.0952 4 5 3 0.0714 2 5 3 0 .33 33 4 5 4 0.2619...

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... .) . . . 030 3 3 0 03 07 034 3 03 =       = b(; , . ) . . . 130 3 3 1 030 7 0441 12 =       = b(;, .) . . . 230 3 3 2 03 07 0189 21 =       = b(; , .) . . .33 03 3 3 030 7 0027 30 =       = L1600_Frame_C11 ... 2 1927 5 1 935 3 19 43 6 1912 3 1920 2 1928 2 1 936 5 1944 1 19 13 4 1921 2 1929 3 1 937 2 1945 2 1914 3 1922 3 1 930 1 1 938 4 194...

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... 2.99978 3. 12169 3. 2 437 1 3. 36566 3. 48 737 3. 60872 0.0010 3. 090 23 3. 233 22 3. 377 03 3.52 139 3. 66608 3. 81090 3. 95567 0.0005 3. 290 53 3.455 13 3.621 13 3.78820 3. 95605 4.124 43 4.2 931 1 0.0001 3. 71902 3. 934 53 ... 3. 78 3. 56 3. 39 3. 26 3. 15 28 7.64 5.45 4.57 4.07 3. 75 3. 53 3 .36 3. 23 3.12 29 7.60 5.42 4.54 4.04 3. 73 3.50 3. 33 3.20 3....

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