Modelling surface runoff using the soil conservation service-curve number method in a drought prone agro-ecological zone in Rwanda

Runoff farming is reported to improve land productivity and crop yields in hot and dry climates. This study was conducted to assess the available rainwater that can be harvested in a conserved catchment in a drought prone agro-ecological zone. The study was carried out in the Cyili sub-catchment, so...

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Main Authors: Dieudonne Uwizeyimana, Stephen M. Mureithi, Simon M. Mvuyekure, George Karuku, Geoffrey Kironchi
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2019-03-01
Series:International Soil and Water Conservation Research
Online Access:http://www.sciencedirect.com/science/article/pii/S2095633918300753
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author Dieudonne Uwizeyimana
Stephen M. Mureithi
Simon M. Mvuyekure
George Karuku
Geoffrey Kironchi
author_facet Dieudonne Uwizeyimana
Stephen M. Mureithi
Simon M. Mvuyekure
George Karuku
Geoffrey Kironchi
author_sort Dieudonne Uwizeyimana
collection DOAJ
description Runoff farming is reported to improve land productivity and crop yields in hot and dry climates. This study was conducted to assess the available rainwater that can be harvested in a conserved catchment in a drought prone agro-ecological zone. The study was carried out in the Cyili sub-catchment, southern province of Rwanda, which has an irregular rainfall pattern and unexploited runoff water. Soil Conservation Service-Curve Number method (SCS-CN), CROPWAT model version 8 and Hazen model with an average daily rainfall data recorded from 1971 to 2016 were applied to estimate the runoff and water requirements in the study area. Findings of the study revealed that more than half rainfall water received in the catchment was lost through runoff (229.8 mm) and effective rainfall was lower (246.9 mm) than the actual crop water requirement for maize (330 mm). The expected seasonal surface runoff volume to be harvested by the farmers was 3008 m3 ha−1 per season and 1.29 × 106 m3 per season for the entire whole sub-catchment (430 ha). Based on Hazen model, the return period of low rainfall (dry spell) event would be expected every 2 years with a 98% probability of occurrence. Cyili sub-catchment has higher potential runoff volume to stabilize the deficit of water demand in the period of short rainy season. This suggests that rainwater harvesting through supplementary irrigation is an option to improve the crop yield in the dry period as well as in the annual dry season. Keywords: Available rainwater, Cyili sub-Catchment, Curve number, Runoff, Rwanda
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spelling doaj.art-1ccbf4fb7d1249d4ae5d06aaaba743812024-03-03T03:40:58ZengKeAi Communications Co., Ltd.International Soil and Water Conservation Research2095-63392019-03-0171917Modelling surface runoff using the soil conservation service-curve number method in a drought prone agro-ecological zone in RwandaDieudonne Uwizeyimana0Stephen M. Mureithi1Simon M. Mvuyekure2George Karuku3Geoffrey Kironchi4Department of Land Resource Management and Agricultural Technology, University of Nairobi, P.O Box 29053, 00625 Nairobi, Kenya; Ministry of Agriculture and Animal Resources of Rwanda, P.O. Box 6961, Kigali, Rwanda; Corresponding author at: Ministry of Agriculture and Animal Resources of Rwanda, P.O. Box 6961, Kigali, Rwanda.Department of Land Resource Management and Agricultural Technology, University of Nairobi, P.O Box 29053, 00625 Nairobi, KenyaRwanda Agriculture and Animal Resources Development Board, P.O. Box 5016, Kigali, RwandaDepartment of Land Resource Management and Agricultural Technology, University of Nairobi, P.O Box 29053, 00625 Nairobi, KenyaDepartment of Land Resource Management and Agricultural Technology, University of Nairobi, P.O Box 29053, 00625 Nairobi, KenyaRunoff farming is reported to improve land productivity and crop yields in hot and dry climates. This study was conducted to assess the available rainwater that can be harvested in a conserved catchment in a drought prone agro-ecological zone. The study was carried out in the Cyili sub-catchment, southern province of Rwanda, which has an irregular rainfall pattern and unexploited runoff water. Soil Conservation Service-Curve Number method (SCS-CN), CROPWAT model version 8 and Hazen model with an average daily rainfall data recorded from 1971 to 2016 were applied to estimate the runoff and water requirements in the study area. Findings of the study revealed that more than half rainfall water received in the catchment was lost through runoff (229.8 mm) and effective rainfall was lower (246.9 mm) than the actual crop water requirement for maize (330 mm). The expected seasonal surface runoff volume to be harvested by the farmers was 3008 m3 ha−1 per season and 1.29 × 106 m3 per season for the entire whole sub-catchment (430 ha). Based on Hazen model, the return period of low rainfall (dry spell) event would be expected every 2 years with a 98% probability of occurrence. Cyili sub-catchment has higher potential runoff volume to stabilize the deficit of water demand in the period of short rainy season. This suggests that rainwater harvesting through supplementary irrigation is an option to improve the crop yield in the dry period as well as in the annual dry season. Keywords: Available rainwater, Cyili sub-Catchment, Curve number, Runoff, Rwandahttp://www.sciencedirect.com/science/article/pii/S2095633918300753
spellingShingle Dieudonne Uwizeyimana
Stephen M. Mureithi
Simon M. Mvuyekure
George Karuku
Geoffrey Kironchi
Modelling surface runoff using the soil conservation service-curve number method in a drought prone agro-ecological zone in Rwanda
International Soil and Water Conservation Research
title Modelling surface runoff using the soil conservation service-curve number method in a drought prone agro-ecological zone in Rwanda
title_full Modelling surface runoff using the soil conservation service-curve number method in a drought prone agro-ecological zone in Rwanda
title_fullStr Modelling surface runoff using the soil conservation service-curve number method in a drought prone agro-ecological zone in Rwanda
title_full_unstemmed Modelling surface runoff using the soil conservation service-curve number method in a drought prone agro-ecological zone in Rwanda
title_short Modelling surface runoff using the soil conservation service-curve number method in a drought prone agro-ecological zone in Rwanda
title_sort modelling surface runoff using the soil conservation service curve number method in a drought prone agro ecological zone in rwanda
url http://www.sciencedirect.com/science/article/pii/S2095633918300753
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