Spatial and temporal distribution of estimated surface runoff caused by land use/land cover changes in the upstream Citarum watershed, West Java, Indonesia

Yulianto, Fajar; Khomarudin, M. Rokhis; Hermawan, Eddy; Nugroho, Nunung Puji; Chulafak, Galdita Aruba; Nugroho, Gatot; Nugroho, Udhi Catur; Suwarsono, S; Fitriana, Hana Listi; Priyanto, Eko

doi:10.15243/jdmlm.2022.092.3293

Cited by 7 publications

(9 citation statements)

References 26 publications

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“…( 1) except that P10 elevation is swapped out for plantation land cover. Yulianto et al (2022) previously hypothesised that runoff coefficient for plantation land cover in West Java might be 40 times greater than that for primary forest. Plantation land cover ranges from 0 to 33.4% with a median of 1.74% for the gauged catchments and from 0 to 30.5% with a median of 2.00% for the HydroSHEDS catchments.…”

Section: Flood Frequency Regionalisation Relationshipsmentioning

confidence: 99%

“…Since as early as the 1920s, agricultural activity has represented over 70% of total land cover in Java (Verburg and Bouma 1999). Land cover in West Java can be broadly categorised into six land-use types including water body, built land, dryland farming (mostly agriculture with low irrigation requirements), wetland farming (mostly rice paddies and fish farms), plantation (mostly tea plantation) and forest (including both natural and managed forest) (consider Siswanto and Francés 2019; Ridwansyah et al 2020;Yulianto et al 2022). Indonesian spatial planning law prescribes that 30% forest cover is needed in all local government districts to ensure adequate hydrological forest functions (Suprayogo et al 2020).…”

Section: Introductionmentioning

confidence: 99%

“…A plot scale study in East Java measured runoff coefficients for production forest (both old and young) and arable land to be 0.03 and 0.41, respectively (Suprayogo et al 2020). Interestingly, hydrological models for West Java often assume runoff coefficients for primary forest, secondary forest and plantation of 0.01, 0.03 and 0.40, respectively (Yulianto et al 2022).…”

Section: Introductionmentioning

confidence: 99%

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Impact of land cover, rainfall and topography on flood risk in West Java

et al. 2022

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Flooding represents around 32% of total disasters in Indonesia and disproportionately affects the poorest of communities. The objective of this study was to determine significant statistical differences, in terms of river catchment characteristics, between regions in West Java that reported suffering from flood disasters and those that did not. Catchment characteristics considered included various statistical measures of topography, land-use, soil-type, meteorology and river flow rates. West Java comprises 154 level 9 HydroSHEDS sub-basin regions. We split these regions into those where flood disasters were reported and those where they were not, for the period of 2009 to 2013. Rainfall statistics were derived using the CHIRPS gridded precipitation data package. Statistical estimates of river flow rates, applicable to ungauged catchments, were derived from regionalisation relationships obtained by stepwise linear regression with river flow data from 70 West Javanese gauging stations. We used Kolmogorov–Smirnov tests to identify catchment characteristics that exhibit significant statistical differences between the two sets of regions. Median annual maximum river flow rate (AMRFR) was found to be positively correlated with plantation cover. Reducing plantation land cover from 20 to 10% was found to lead to a modelled 38% reduction in median AMRFR. AMRFR with return periods greater than 10 years were found to be negatively correlated with wetland farming land cover, suggesting that rice paddies play an important role in attenuating extreme river flow events. Nevertheless, the Kolmogorov–Smirnov tests revealed that built land cover is the most important factor defining whether or not an area is likely to report flood disasters in West Java. This is presumably because the more built land cover, the more people available to experience and report flood disasters. Our findings also suggest that more research is needed to understand the important role of plantation cover in aggravating median annual maximum river flow rates and wetland farming cover in mitigating extreme river flow events.

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Section: Flood Frequency Regionalisation Relationshipsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Impact of land cover, rainfall and topography on flood risk in West Java

et al. 2022

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“…Specifically, the transformation of land use from vegetation to built-up areas can escalate both peak discharge and surface runoff [21]. Such increases are attributed to a decrease in water absorption capacity, and when this surpasses the river's capacity, the resultant runoff augments the potential for flooding [22,23]. Peak discharge arises due to the amplification of surface runoff water, culminating in an increase in river water volume and subsequent flooding.…”

Section: Introductionmentioning

confidence: 99%

Hydrological Approach for Flood Overflow Estimation in Buleleng Watershed, Bali

Suyarto,

Wiyanti,

Saifulloh

et al. 2023

IJSSE

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The Hydrology of a watershed, encapsulated within the biogeophysical characteristics of upstream, midstream, and downstream regions, governs the peak discharge. Notable flooding issues have been observed in the downstream region of the Buleleng Watershed, largely attributed to land use transitions from vegetative to built-up areas. This study seeks to delineate the flood overflow zone within the Buleleng River Basin, influenced by factors such as rainfall, land use, and soil texture. Data employed in this study encompass land use maps, an 8-meter resolution Digital Elevation Model, annual rainfall records, soil texture information, and river network maps. The adopted methodology involved field survey data collection, satellite image analysis, and hydrological approach computations. Peak discharge values for the Buleleng Watershed, derived for periods of 5, 10, 25, and 5-100 years, were determined to be 426334. 44, 568445.88, 603035.31, and 617379 m 3 /s respectively, set against a river capacity of 312748.13 m 3 /s. Given the substantial overflow discharge from the Buleleng River, the watershed is susceptible to flooding. The study findings indicate a progressive annual increase in flood overflow predictions, necessitating targeted interventions such as drainage management, surface runoff control, and a review of spatial permits for settlement usage, particularly within watershed conservation areas.

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“…There were around 10,438 ood events from 1815 to 2019. In 2021, there were 1,518 ood events resulted in 132 deaths and 782,054 people displaced (Fitriyani et al 2021;Yulianto et al 2022). Furthermore, the impact of ooding has also paralysed activities in several sectors such as infrastructure, productive economy, social facilities in the affected area and its surroundings (Akhmadi et al 2018).…”

Section: Introductionmentioning

confidence: 99%

Flood inundation modelling using an RProFIM approach based on the scenarios of landuse/landcover change and return periods differences in the upstream Citarum watershed, West Java, Indonesia

Yulianto¹,

Khomarudin²,

Hermawan³

et al. 2022

Preprint

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This study proposes a new model for flood inundation modeling using the Raster-based Probability Flood Inundation Model (RProFIM) approach. The flood modeling was carried out based on the landuse/landcover (LULC) change scenario and the difference in return periods in the study area. The aims of this study were: a) to estimate the volume of discharge in the LULC change scenario between 1990 and 2050 and the difference in return periods between 2 and 100 years; b) to create and produce flood inundation maps using the RProFIM approach; and c) to analyse flood damage assessment based on the results provided by overlaying LULC data with flood inundation maps. In general, the flood probability modeling generated by RProFIM provided the same pattern and conditions it was shown by reference data. The results found several potential areas in Citarum watershed, West Java-Indonesia which are likely to be flooded based on the RProFIM approach in the Districts of Margaasih, Kutawaringin, Margahayu, Katapang, Dayeuhkolot, and Baleendah. Flood damage assessment by the flood scenario with a return period of 2–100 years and changes in LULC in the range of 1990–2050, shows that the largest estimated loss based on market value is on built-up land and agriculture. This research is expected to be used as one of the considerations in managing environmental problems in overcoming flooding in the study area.

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Spatial and temporal distribution of estimated surface runoff caused by land use/land cover changes in the upstream Citarum watershed, West Java, Indonesia

Cited by 7 publications

References 26 publications

Impact of land cover, rainfall and topography on flood risk in West Java

Impact of land cover, rainfall and topography on flood risk in West Java

Hydrological Approach for Flood Overflow Estimation in Buleleng Watershed, Bali

Flood inundation modelling using an RProFIM approach based on the scenarios of landuse/landcover change and return periods differences in the upstream Citarum watershed, West Java, Indonesia

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