Modelling off-stream reservoir using rainfall-runoff transformation and satellite rainfall data in Liliba and Manikin watersheds of Indonesia

Rainwater harvesting (RWH) techniques have become a crucial aspect of human life, enabling the provision of water for household and agricultural needs. Embung , a popular RWH technique in Indonesia's semi-arid regions, has a limited capacity and poses a risk of sedimentation, rendering it unreliable for drought mitigation. An alternative is an off-stream reservoir. It has benefits, including possible placement in locations with less social problems. Reservoirs off-stream have less sedimentation. This study employed Global Satellite Mapping of Precipitation (GSMaP) for the period of 2014-2021 in rainfall-runoff simulations along with the Soil Moisture Accounting (SMA) method of Hydrologic Engineering Center's Hydrologic Modelling System (HEC-HMS) to assess the reliability of off-stream reservoirs in conserving water in Liliba and Manikin watersheds, Kupang, East Nusa Tenggara province of Indonesia. The statistical requirements for calibration and validation include the coefficient of determination (R 2 > 0.40), Nash-Sutcliffe Efficiency (NSE > 0.40), root mean square error (RMSE)-standard deviation ratio of research data, or RSR (<0.70), and percent bias (PBIAS <30). During calibration, only the percent bias parameter was qualified as excellent (4.01%), while the other statistical requirements were not met. However, in the validation process, all statistical requirements met satisfactory rating. The results demonstrate that rainfall-runoff simulation could be performed using the GSMaP data in conjunction with the SMA loss method; however, adjustments to HEC-HMS parameters are necessary based on analysis duration and local conditions. The study's modelling indicates that, for five months and three weeks during the dry season in the wet year (2021) and for four months and three weeks during the dry year (2016), water from the off-stream reservoir can supply 5,063 residents' household needs in addition to 10 hectares of horticultural cultivation. Therefore, the study recommends the utilization of GSMaP satellite data in the inflow simulation of off-stream reservoirs employing the SMA method, particularly in locations lacking adequate rainfall data. • GSMaP data with the SMA in HEC-HMS performs well in rainfall-runoff simulations. • The model validates satellite data as reliable for areas with scarce rainfall measurements. • Off-stream reservoir effectively supports domestic and agricultural needs during droughts. • Off-stream reservoirs ensure water availability during prolonged drought.

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Publication Details

Journal
Kuwait Journal of Science
Published
2025-05-23
DOI
https://doi.org/10.1016/j.kjs.2025.100431
Citations
2
Primary Topic
Hydrology and Watershed Management Studies
Type
article
Field-Weighted Citation Impact
1.63
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article

Modelling off-stream reservoir using rainfall-runoff transformation and satellite rainfall data in Liliba and Manikin watersheds of Indonesia

Istiarto Istiarto, Yulius Patrisius Kau Suni, Joko Sujono
2 citations
Kuwait Journal of Science
Hydrology and Watershed Management Studies
1.63
article

Modelling off-stream reservoir using rainfall-runoff transformation and satellite rainfall data in Liliba and Manikin watersheds of Indonesia

Istiarto Istiarto, Yulius Patrisius Kau Suni, Joko Sujono
article en
2 citations

Abstract

Rainwater harvesting (RWH) techniques have become a crucial aspect of human life, enabling the provision of water for household and agricultural needs. Embung , a popular RWH technique in Indonesia's semi-arid regions, has a limited capacity and poses a risk of sedimentation, rendering it unreliable for drought mitigation. An alternative is an off-stream reservoir. It has benefits, including possible placement in locations with less social problems. Reservoirs off-stream have less sedimentation. This study employed Global Satellite Mapping of Precipitation (GSMaP) for the period of 2014-2021 in rainfall-runoff simulations along with the Soil Moisture Accounting (SMA) method of Hydrologic Engineering Center's Hydrologic Modelling System (HEC-HMS) to assess the reliability of off-stream reservoirs in conserving water in Liliba and Manikin watersheds, Kupang, East Nusa Tenggara province of Indonesia. The statistical requirements for calibration and validation include the coefficient of determination (R 2 > 0.40), Nash-Sutcliffe Efficiency (NSE > 0.40), root mean square error (RMSE)-standard deviation ratio of research data, or RSR (<0.70), and percent bias (PBIAS <30). During calibration, only the percent bias parameter was qualified as excellent (4.01%), while the other statistical requirements were not met. However, in the validation process, all statistical requirements met satisfactory rating. The results demonstrate that rainfall-runoff simulation could be performed using the GSMaP data in conjunction with the SMA loss method; however, adjustments to HEC-HMS parameters are necessary based on analysis duration and local conditions. The study's modelling indicates that, for five months and three weeks during the dry season in the wet year (2021) and for four months and three weeks during the dry year (2016), water from the off-stream reservoir can supply 5,063 residents' household needs in addition to 10 hectares of horticultural cultivation. Therefore, the study recommends the utilization of GSMaP satellite data in the inflow simulation of off-stream reservoirs employing the SMA method, particularly in locations lacking adequate rainfall data. • GSMaP data with the SMA in HEC-HMS performs well in rainfall-runoff simulations. • The model validates satellite data as reliable for areas with scarce rainfall measurements. • Off-stream reservoir effectively supports domestic and agricultural needs during droughts. • Off-stream reservoirs ensure water availability during prolonged drought.

Kuwait Journal of ScienceVol. 52(3)
Universitas Gadjah Mada (ID), Universitas Katolik Widya Mandira (ID)
Climate action
Openalex Percentile: Top 17%
Hydrology and Watershed Management Studies
1.63
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