Baseflow Index Analysis for Bengawan Solo River, Indonesia

Taufik, Muh; Annisa', Siti

doi:10.29244/j.agromet.36.2.70-78

Cited by 3 publications

(2 citation statements)

References 25 publications

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“…The calculated BFI values in this study range from 0.60 to 0.68, which is consistent with studies conducted in Brazil [71] and Indonesia [72] in similar environments. However, other regions in Indonesia have shown smaller BFI values (ranging from 0.49 to 0.56) compared to Ankavia [73]. In contrast, higher BFI values were reported for watersheds in Thailand [74] and Malaysia [75].…”

Section: General Hydrological Characteristicsmentioning

confidence: 82%

Driving Factors of the Hydrological Response of a Tropical Watershed: The Ankavia River Basin in Madagascar

Ramahaimandimby

Randriamaherisoa

Vanclooster

et al. 2023

Water

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Understanding the hydrological behavior of watersheds (WS) and their driving factors is crucial for sustainable water resources management. However, at large scales, this task remains challenging due to the spatial heterogeneity in landscapes, topography and morphology (T), land cover (LC), geology (G), and soil properties (S). In this context, the aim of this study was to identify the key factors that influence the hydrological signatures of four watersheds: Ankavia (WS1: 55% forest cover), Ankaviabe (WS2: 77% forest cover), Sahafihitry (WS3: 41% forest cover), and Antsahovy (WS4: 48% forest cover), over a 10-month study period. These catchments are located within the SAVA region of northeastern Madagascar and have a humid tropical climate. We investigated the relationship between selected catchment descriptors and hydrological signatures by using a Pearson coefficient-based correlation matrix. More specifically, catchment descriptors (extracted from T, LC, G, and S) were correlated with the following hydrological signatures: base flow index (BFI), mean runoff coefficient (rc), mean peak flow (Qp), mean runoff event time scales (ts), high flows (Q5), low flows (Q95), and mean discharge (q_mean). The analysis revealed that land cover, soil properties, and geology seem to be the best predictors for BFI and Q95, while soil properties mainly govern rc, Qp, Q5, ts, and q_mean. These findings provide valuable insights into the key drivers of hydrological behavior that can inform water resource management strategies. In particular, WS2 exhibits better flood buffering capacity but also experiences lower base flows in the dry season, potentially due to higher evapotranspiration. Conversely, WS3 and WS4 (and to a lesser extent WS1) have lower flood buffering capacity, but these watersheds encounter less pronounced low flows in the dry season due to higher BFIs, possibly attributable to lower evapotranspiration rates. The results underscore the importance of responsible land use practices and conservation efforts, which are essential for the sustainable development of the region. By incorporating these practices into water management strategies, we can help ensure a more stable and reliable water supply for communities and ecosystems within the region.

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Section: General Hydrological Characteristicsmentioning

confidence: 82%

Driving Factors of the Hydrological Response of a Tropical Watershed: The Ankavia River Basin in Madagascar

Ramahaimandimby

Randriamaherisoa

Vanclooster

et al. 2023

Water

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“…Bengawan Solo watershed faces several environmental challenges such as flood, drought, critical land, water pollution, erosion, sedimentation, and other social issues (Hannum et al, 2020;Taufik and Annisa, 2022). Several studies have explored changes in rainfall patterns in the Bengawan Solo watershed, including Auliyani and Wahyuningrum (2020), which reported an increased trend in rainfall for the upstream Bengawan Solo, and Trinugroho et al, (2022), which found the coastal regions of the Bengawan Solo Sub-Watershed experience a downward trend, which means that coastal regions will become drier than mountainous regions in the future.…”

Section: Introductionmentioning

confidence: 99%

Extreme Rainfall Analysis in the Bengawan Solo Watershed, Java

Perdinan,

Hapsari,

Mudzakir Setiawan

2024

Agromet

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As the largest watershed in Java Island, the Bengawan Solo watershed has experienced recurrent hydrometeorological hazards, leading to infra-structure damage, casualties, and environmental degradation. Research on extreme rainfall causing the hazards in the Bengawan Solo watershed is still limited. This study examines extreme rainfall events by analyzing daily rainfall data (1991-2020) at three observation stations namely Musuk, Tinap, and Lowayu, which represent the upstream, middle, and downstream of the Bengawan Solo watershed. The Extreme Value Theory (EVT) using the Block Maxima approach with a Generalized Extreme Value (GEV) method was used to determine the rainfall return period of 5, 10, 20, 30, and 50-year. We applied the Mann-Kendall test to assess the annual trends of extreme rainfall indices recommended by the Expert Team on Climate Change Detection and Indices (ETCCDI). The results found that the highest estimated annual maximum of daily rainfall was in Musuk station (226.7 mm), followed by Tinap station (159.3 mm) and Lowayu station (149.4 mm). While no significant trend was observed for Musuk, other stations showed a significant trend for the decrease of the daily rainfall intensity, the increase of the number of annual rainy days, the decrease of the annually maximum amount of five consecutive precipitation days, and the increase of the annually number of consecutive wet days. There is also an increase in the maximum amount of annual rainfall for one day (Rx1day) at Lowayu station, which indicates a higher risk of disaster due to high rainfall. Additionally, an increasing trend in the total annual rainfall (PRCPTOT) at Musuk, Tinap, and Lowayu stations suggests a greater potential for water storage to meet water needs in these areas.

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Driving Factors of the Hydrological Response of a Tropical Watershed: the Ankavia River Basin in Madagascar

Ramahaimandimby¹,

Randriamaherisoa²,

Vanclooster³

et al. 2023

Preprint

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Understanding the hydrological behavior of watersheds and their driving factors is crucial for sustainable water resources management. However, at large scales, this task remains challenging due to the spatial heterogeneity in landscapes, topography, land use, geology, and soil properties. In this context, the aim of this study was to identify the key factors that influence the hydrological system of four watersheds: Ankavia (WS1: 55% forest cover), Ankaviabe (WS2: 77% forest cover), Sahafihitry (WS3: 41% forest cover), and Antsahovy (WS4: 48% forest cover), over a 10-month study period. These catchments are located within the SAVA region of northeastern Madagascar and have a humid-tropical climate. We investigated the relationship between selected catchment descriptors (CD) and hydrological signatures (HS) by using a Pearson coefficient-based correlation matrix. More specifically, CD extracted from topography/morphology (T), land use (LU), soil (S), and geological characteristics (G) were correlated with HS, including base flow index (BFI), runoff coefficient (rc), peak flow (Qp), runoff event time scales (ts), high flows (Q5), low flows (Q95), and mean discharge (q_mean). The analysis revealed that land use, soil properties, and geology seem to be the best predictors for BFI and Q95, while soil properties mainly govern rc, Qp, Q5, ts, and q_mean. These findings provide valuable insights into the key drivers of hydrologic behavior that can inform water resource management strategies. In particular, WS2 has better flood buffering capacity but suffers from lower base flows in the dry season potentially due to higher evapotranspiration. Conversely, WS3 and WS4 (and to a lesser extent WS1) have lower flood buffering capacity, but these watersheds experience less pronounced low flows in the dry season due to higher base flow index resulting from lower evapotranspiration. The results emphasize the importance of sustainable land use practices and conservation efforts, which are essential for the sustainable development of the region. By incorporating these practices into water management strategies, we can help ensure a more stable and reliable water supply for communities and ecosystems within the region.

show abstract

Baseflow Index Analysis for Bengawan Solo River, Indonesia

Cited by 3 publications

References 25 publications

Driving Factors of the Hydrological Response of a Tropical Watershed: The Ankavia River Basin in Madagascar

Driving Factors of the Hydrological Response of a Tropical Watershed: The Ankavia River Basin in Madagascar

Extreme Rainfall Analysis in the Bengawan Solo Watershed, Java

Driving Factors of the Hydrological Response of a Tropical Watershed: the Ankavia River Basin in Madagascar

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