Characterisation of the Flow Regime of Ewaso Ngiro North River
This study aimed at characterising the river flow regime using statistical and probability methods. Streamflow data for Archers Post river gauging station for the period 1960 to 1998 were used for the analysis. Preliminary analysis of the daily flow data was undertaken to determine monthly mean flow...
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| Published in | East African agricultural and forestry journal Vol. 65; no. 1-2; pp. 71 - 78 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Taylor & Francis
01.07.1999
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| Online Access | Get full text |
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| Abstract | This study aimed at characterising the river flow regime using statistical and probability methods. Streamflow data for Archers Post river gauging station for the period 1960 to 1998 were used for the analysis. Preliminary analysis of the daily flow data was undertaken to determine monthly mean flow, annual mean flow, 7, 30, 90 and 120 days mean low flow and highest daily discharge (flood flow) for each year. Descriptive statistical parameters including: the mean, standard error, median, standard deviation, coefficient of variation, kurtosis, skewness and confidence level of mean at 95% were computed. The cumulative distribution function of the monthly flow showed that February had the lowest flow and November had the highest. Monthly flow analysis revealed that there were three peaks in April, August and November corresponding to the long, continental and short rainy seasons. |
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| AbstractList | This study aimed at characterising the river flow regime using statistical and probability methods. Streamflow data for Archers Post river gauging station for the period 1960 to 1998 were used for the analysis. Preliminary analysis of the daily flow data was undertaken to determine monthly mean flow, annual mean flow, 7, 30, 90 and 120 days mean low flow and highest daily discharge (flood flow) for each year. Descriptive statistical parameters including: the mean, standard error, median, standard deviation, coefficient of variation, kurtosis, skewness and confidence level of mean at 95% were computed. The cumulative distribution function of the monthly flow showed that February had the lowest flow and November had the highest. Monthly flow analysis revealed that there were three peaks in April, August and November corresponding to the long, continental and short rainy seasons. |
| Author | Muni, RK Gichuki, FN Gichuki, PG |
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| Copyright | 1999 Taylor and Francis Group, LLC 1999 |
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| References | Akonga J Downing TE (CIT0001) 1987 Gupta B. (CIT0004) 1991 Gichuki FN Liniger (CIT0003) 1998; 8 Viessman W Lewis LG (CIT0007) 1989 Chow VT (CIT0002) 1988 |
| References_xml | – volume: 8 year: 1998 ident: CIT0003 publication-title: Eastern and Southern Africa Geographical Journal contributor: fullname: Gichuki FN Liniger – volume-title: Engineering Hydrology. year: 1991 ident: CIT0004 contributor: fullname: Gupta B. – volume-title: Applied Hydrology year: 1988 ident: CIT0002 contributor: fullname: Chow VT – volume-title: The effects of climatic variations on agriculture in central and eastern Kenya. year: 1987 ident: CIT0001 contributor: fullname: Akonga J Downing TE – volume-title: Introduction to Hydrology year: 1989 ident: CIT0007 contributor: fullname: Viessman W Lewis LG |
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| Title | Characterisation of the Flow Regime of Ewaso Ngiro North River |
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