Hydrologic soil group based curve number matrix modeling for Enset-Based land use system in Meki River Watershed, Western Lake Ziway Sub-Basin, Central Rift Valley of Ethiopia
Background Enset-Based land use system (EBLUS) exhibits good carbon stock and infiltration rate equivalent to forest covered areas, which enhances infiltration and water holding capacity and it can reduce the curve number (CN) of the watersheds but it was not considered in former studies. Therefore, this study is planned to model the hydrologic soil group (HSG) based CN matrix of EBLUS relative to other LUSs with established hydrological characteristics in the Meki river watershed. The soil data is used to determine the HSG of the watershed collected from Ministry of Water, Irrigation and Energy (MOWIE) and verified by Harmonized World Soil Database (HWSD). A Model is developed for CN of EBLUS relative to other LUSs (Alemu’s formula). The model considers both infiltration rate measured using Amozi-meter and carbon stoke of soil weighed as 85% and 15% respectively. HEC-GEO-HMS model is used to consider the CN of EBLUS as a separate LUS to verify the developed CN matrix model to generate CN of the sub-watersheds.
Result The field measurement results show that an infiltration rate of 12.9675,11.1875,10.375,7.065 and 12.8125mm hr -1 for Natural Forest, Grassland and plantation, cultivated, built-up and EBLUS respectively. The model is: and the resulting CN matrix of EBLUS is 39,51.5,58.3 and 61.6 for HSG of A,B,C and D respectively. Conclusion Significant reduction in mean CN of the watershed that shows the role of EBLUS in managing the water resources and flood is high. Therefore, escalating EBLUS will reduce the CN of the watershed which reduces runoff volume in the watershed and it ensures the sustainability of Lake Ziway by reducing sedimentation.
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Posted 04 Jan, 2021
On 18 Jan, 2021
Received 04 Jan, 2021
Received 04 Jan, 2021
On 31 Dec, 2020
On 31 Dec, 2020
Invitations sent on 29 Dec, 2020
On 23 Dec, 2020
On 23 Dec, 2020
On 23 Dec, 2020
On 22 Dec, 2020
Hydrologic soil group based curve number matrix modeling for Enset-Based land use system in Meki River Watershed, Western Lake Ziway Sub-Basin, Central Rift Valley of Ethiopia
Posted 04 Jan, 2021
On 18 Jan, 2021
Received 04 Jan, 2021
Received 04 Jan, 2021
On 31 Dec, 2020
On 31 Dec, 2020
Invitations sent on 29 Dec, 2020
On 23 Dec, 2020
On 23 Dec, 2020
On 23 Dec, 2020
On 22 Dec, 2020
Background Enset-Based land use system (EBLUS) exhibits good carbon stock and infiltration rate equivalent to forest covered areas, which enhances infiltration and water holding capacity and it can reduce the curve number (CN) of the watersheds but it was not considered in former studies. Therefore, this study is planned to model the hydrologic soil group (HSG) based CN matrix of EBLUS relative to other LUSs with established hydrological characteristics in the Meki river watershed. The soil data is used to determine the HSG of the watershed collected from Ministry of Water, Irrigation and Energy (MOWIE) and verified by Harmonized World Soil Database (HWSD). A Model is developed for CN of EBLUS relative to other LUSs (Alemu’s formula). The model considers both infiltration rate measured using Amozi-meter and carbon stoke of soil weighed as 85% and 15% respectively. HEC-GEO-HMS model is used to consider the CN of EBLUS as a separate LUS to verify the developed CN matrix model to generate CN of the sub-watersheds.
Result The field measurement results show that an infiltration rate of 12.9675,11.1875,10.375,7.065 and 12.8125mm hr -1 for Natural Forest, Grassland and plantation, cultivated, built-up and EBLUS respectively. The model is: and the resulting CN matrix of EBLUS is 39,51.5,58.3 and 61.6 for HSG of A,B,C and D respectively. Conclusion Significant reduction in mean CN of the watershed that shows the role of EBLUS in managing the water resources and flood is high. Therefore, escalating EBLUS will reduce the CN of the watershed which reduces runoff volume in the watershed and it ensures the sustainability of Lake Ziway by reducing sedimentation.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Figure 8
Figure 9
Figure 10
Figure 11
Figure 12
Figure 13
Figure 14
Figure 15
Figure 16
Figure 17
Due to technical limitations, full-text HTML conversion of this manuscript could not be completed. However, the manuscript can be downloaded and accessed as a PDF.