Simulation and prediction the impact of climate change into water resources in Bengawan Solo watershed based on CCAM (Conformal Cubic Atmospheric Model) data

Sipayung, Sinta Berliana; Nurlatifah, Amalia; Siswanto, Bambang

doi:10.1088/1742-6596/1022/1/012042

Cited by 5 publications

(3 citation statements)

References 1 publication

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“…The studies emphasized the importance of taking precautions during the wet season to reduce the adverse effects of floods on activities within the watershed, especially due to climate changes (Damayanti, 2011;Musiyam et al, 2020;Mustikaningrum et al, 2023;Nada et al, 2023;Nurkhaida and Rejekiningrum, 2021;Purwanto et al, 2023;Saputra et al, 2022;Zein, 2010). Based on the climate forecast, it is estimated that the upper section of the Solo River Water Basin will see negative influences from the ongoing climate changes as well as impacts of future changes in earth's climate on the incidence of floods (Anna et al, 2016;Sipayung et al, 2018). Solo Upper River Watershed has recorded the growth of flood-affected rainfall that resulted from climate change, urbanization, and redevelopment of land uses.…”

Section: Discussionmentioning

confidence: 99%

Remote Sensing and Gis-Driven Model for Flood Susceptibility Assessment in the Upper Solo River Watershed

JUMADI,

SARI,

UMROTUN

et al. 2024

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This study aims to develop an expedited flood susceptibility model with remote sensing data that can be effectively utilized for a large catchment area. We apply the model to the Upper Solo River Watershed in Indonesia. The model incorporates the hydrological attributes of the watershed obtained from remote sensing data, including elevation, slope, flow accumulation, proximity to rivers, rainfall, drainage density, topographic wetness index, land use land cover, normalized difference vegetation index, soil moisture, and land surface curvature. The flood susceptibility criteria are generated using remote sensing datasets such as The Shuttle Radar Topography Mission (SRTM), Sentinel 2 Multispectral Instrument, Global Precipitation Measurement (GPM) v6, and NASA-USDA Enhanced SMAP Global Soil Moisture Data. Through utilizing remote sensing data and GIS analytic tools, this study has discovered that it is possible to create a flood susceptibility model for large catchment regions cost-efficiently. Our study indicates that areas in the surrounding of Surakarta City, the most populated city in this watershed, are the most susceptible. Therefore, the government and community should increase their capacity to cope with this potential disaster.

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Section: Discussionmentioning

confidence: 99%

Remote Sensing and Gis-Driven Model for Flood Susceptibility Assessment in the Upper Solo River Watershed

JUMADI,

SARI,

UMROTUN

et al. 2024

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“…Predictions of climate change in West Nusa Tenggara based on the outcomes of the Conformal Cubic Atmospheric Model (CCAM) also shows that there is a prediction of changes in rainfall patterns from 1994-2029 in Mataram which decreased by 37.21 mm in the DJF season and increased by 4.53 mm in the JJA season. In addition, the temperature in Mataram in 1994-2005 increased by 0.5 ℃ to the 2006-2017 period and continued to increase by 0.5 ℃ until 2029 with a maximum value of 31 ℃ [8].…”

Section: Introductionmentioning

confidence: 93%

Different gender-based climate change impact on Lombok, West Nusa Tenggara

Khairunnisa,

Perdinan,

Pratiwi

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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Differences in the impact of climate change are influenced by the level of vulnerability of each individual, including in terms of gender. Differences in access and control often make women more vulnerable to climate change than men, so the impact and adaptation to climate change will be different. This study aims to understand the differences in the impacts of climate change from a gender perspective in Lombok, West Nusa Tenggara. The quantitative and descriptive method uses data and information obtained from literature reviews, field surveys, and interviews. In addition, a vulnerability analysis was also carried out for the Lombok region using the Livelihood Vulnerability Index (LVI) assessment. The projection results show that Lombok will experience climate change, such as increasing air temperature and decreasing rainfall. Lombok’s vulnerability to climate change is in the LVI value range of 0.376 to 0.448. The impacts of climate change felt by men and women in Lombok differ because of differences in access, participation, control, and benefits (APCB) influenced. The results show that women are more vulnerable than men. One of the most influential factors is the lower education level for women due to limited resources and access, resulting in a need for more understanding regarding climate change.

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“…Rainfall trend in the upper Bengawan Solo watershed has raised during 1990-2016, causing the last longer rainy season, namely 7 months (October-April) in 1990-1998and 1999-2007(Auliyani & Wahyuningrum, 2020. Another study stated that the Bengawan Solo watershed was predicted to have rainfall decreasing by 1 mm in the period 2040-2069 (Sipayung et al, 2018). However, there is little evidence related to the type and direction of rainfall pattern impacts, particularly for rice cropping of the sub-watershed.…”

Section: Introductionmentioning

confidence: 99%

Changes in Rainfall Pattern in Bengawan Solo Sub-Watershed

Trinugroho

Arif

Susanto

et al. 2022

Sains Tanah J. Soil Sci. Agroclimatology

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<p>Rainfed farming is vulnerable to climate variability, which changes rainfall patterns. Rainfall variability disrupts rainfed rice cultivation because a change in rainfall will affect the rice crop calendar. An analysis of long-term trends over a specific area is required to understand rainfall variability. The aim of this study was to assess climate variability in terms of rainfall magnitude and frequency by analyzing spatial and temporal rainfall trends in Bengawan Solo Sub-Watershed as well as the rainfed rice production. Daily rainfall data from 10 rain gauge stations over the sub-watershed area from the years 1975 to 2020 were used. The data was managed and collected by the Bengawan Solo Watershed authority. Pearson, Mann-Kendall, and Sen’s Slope tests were applied to assess the recorded data correlation, rainfall trends, and magnitude of trends into annual, monthly, and 10-day. The findings of the study indicated the spatial and temporal inhomogeneous rainfall pattern for all locations for 10-day, monthly and annual patterns. The mountainous regions at Tawang Mangu and Ngrambe stations tend to experience an upward trend (positive magnitude), while the coastal regions at Nglirip and Bojonegoro stations have a downward trend(negative magnitude). Those trends also confirmed that coastal regions would be drier than mountainous regions in the future. Understanding this rainfall trend can assist with rainfed farming strategic planning.</p>

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Simulation and prediction the impact of climate change into water resources in Bengawan Solo watershed based on CCAM (Conformal Cubic Atmospheric Model) data

Cited by 5 publications

References 1 publication

Remote Sensing and Gis-Driven Model for Flood Susceptibility Assessment in the Upper Solo River Watershed

Remote Sensing and Gis-Driven Model for Flood Susceptibility Assessment in the Upper Solo River Watershed

Different gender-based climate change impact on Lombok, West Nusa Tenggara

Changes in Rainfall Pattern in Bengawan Solo Sub-Watershed

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