Markov‐Weibull Model of Monthly StreamflowSource: Journal of Water Resources Planning and Management:;1987:;Volume ( 113 ):;issue: 001Author:Richard J. Dalphin
DOI: 10.1061/(ASCE)0733-9496(1987)113:1(53)Publisher: American Society of Civil Engineers
Abstract: A conceptually simple, month‐to‐month lag‐1 Markov streamflow simulation model is developed and tested extensively. Streamflow in any month is represented probabilistically by a family of three‐parameter Weibull distributions conditioned on flow in the preceding month. The marginal distributions of the monthly and annual series of the simulated and historical data compare well statistically, and goodness‐of‐fit is excellent. Month‐to‐month correlation coefficients, auto‐correlation coefficients of the annual series, and the Hurst coefficient of the simulated and historical data compare well, as do comparative statistics of various drought‐high flow characteristics and flows of both sets of data through several hypothetical reservoir systems.
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| contributor author | Richard J. Dalphin | |
| date accessioned | 2017-05-08T21:06:17Z | |
| date available | 2017-05-08T21:06:17Z | |
| date copyright | January 1987 | |
| date issued | 1987 | |
| identifier other | %28asce%290733-9496%281987%29113%3A1%2853%29.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/38810 | |
| description abstract | A conceptually simple, month‐to‐month lag‐1 Markov streamflow simulation model is developed and tested extensively. Streamflow in any month is represented probabilistically by a family of three‐parameter Weibull distributions conditioned on flow in the preceding month. The marginal distributions of the monthly and annual series of the simulated and historical data compare well statistically, and goodness‐of‐fit is excellent. Month‐to‐month correlation coefficients, auto‐correlation coefficients of the annual series, and the Hurst coefficient of the simulated and historical data compare well, as do comparative statistics of various drought‐high flow characteristics and flows of both sets of data through several hypothetical reservoir systems. | |
| publisher | American Society of Civil Engineers | |
| title | Markov‐Weibull Model of Monthly Streamflow | |
| type | Journal Paper | |
| journal volume | 113 | |
| journal issue | 1 | |
| journal title | Journal of Water Resources Planning and Management | |
| identifier doi | 10.1061/(ASCE)0733-9496(1987)113:1(53) | |
| tree | Journal of Water Resources Planning and Management:;1987:;Volume ( 113 ):;issue: 001 | |
| contenttype | Fulltext |