Flood disaster and risk anticipation strategy

Halim, H; Arifin, Ansar; NONCI, NURMI; Zainuddin, Rasyidah; Anriani, Haslinda B.; Kamaruddin, Samira Albati

doi:10.1088/1755-1315/235/1/012032

Cited by 8 publications

(5 citation statements)

References 1 publication

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“…The peak of flooding in Makassar usually occurs from December to February, when the high intensity of rainfall leads to inundation. For instance, in mid-December 2017, suburbs of Makassar City experienced flooding with a height of one meter (Halim et al, 2019). In January 2019, a flood disaster hit the city and inundated 1658 houses, affecting 9328 residents (Thoban & Hizbaron, 2020).…”

Section: Resultsmentioning

confidence: 99%

Modeling Extreme Rainfall Events in the Tropical Monsoon Region: A Generalized Pareto Distribution Approach

Muzakir¹,

Sunusi²,

Thamrin³

2023

IJRP

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Extreme weather events have become more frequent due to climate change, and extreme rainfall is a common occurrence in the tropical monsoon areas. Makassar City was chosen as a representative area of the tropical monsoon climate. The objective of this research is to utilize the generalized Pareto distribution (GPD), along with its nested model (exponential), to predict the monthly return levels of extreme rainfall in the designated geographical region. The study utilized daily precipitation data from January 1980 to December 2022. To determine the monthly daily rainfall data that exceeds a certain threshold, the peaks over threshold (POT) method was applied. The result discovered that the exponential distribution is the most appropriate for extreme rainfall series in most months, except for February and July, where the GPD is more appropriate. No trends or seasonal patterns were identified in any of the months. The calculated return levels of extreme rainfall for each month at the 2, 3, 5, and 10-year return periods indicate that February has the highest rainfall return level for all selected return periods compared to other months with December and January following closely behind. These findings are expected to assist the government in developing flood prevention strategies and mitigating their effects, particularly during the rainy season's peak months in the city, which are December to February.

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Section: Resultsmentioning

confidence: 99%

Modeling Extreme Rainfall Events in the Tropical Monsoon Region: A Generalized Pareto Distribution Approach

Muzakir¹,

Sunusi²,

Thamrin³

2023

IJRP

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“…Environmental change will lead to environmental degradation, and damage will eventually cause problems but with long-term consequences. Because of the length of time it takes to recognize the consequences, the impacts are already catastrophic (Halim et al, 2019). The massive onset of acute respiratory illness in the study area occurred after years of breathing air containing factory smoke.…”

Section: Environmental Degradation Due To Environmental Changementioning

confidence: 99%

Land conversion to cement factory and mining: Effect of environmental change to disaster and farmer livelihoods

Harifuddin,

Haris,

Anriani

et al. 2024

J. Degrade. Min. Land Manage.

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Land conversion from agricultural to cement factory and mining areas has consequences for environmental change and degradation that cause disasters and sustainability farmer livelihood. This study aimed to analyze land conversion to a cement factory and mining as determinants of environmental change, environmental change as a determinant of environmental degradation, and the effect of environmental change and environmental degradation on the sustainability of farmer livelihoods. This research used a sequential explanatory design or quantitative rather than qualitative. The research sample totaled 183 respondents. Data collection used the quantitative stage using questionnaires and the qualitative stage using in-depth interviews, observation, and literature study. The results showed that land conversion to a cement factory and mining are causes of environmental change, followed by environmental degradation, such as factory smoke pollution, dust from karst mines, factory vehicle dust, and soil pollution due to coal piles. Environmental change is a cause of environmental degradation, such as crop failure, acute respiratory illness, land clearing, and flooding. The effect of environmental change and environmental degradation on the sustainability of farmer livelihoods is that almost all farmers sell their rice fields for the factory area, then buy ponds, do business, open stalls, and open photocopy businesses. No one returned to being a farmer. The conversion of agricultural land to a cement factory and mining caused a decrease in environmental functions, namely the disruption of the ecosystem chain, which caused flooding and acute respiratory disease and caused farmers to switch to non-agricultural livelihoods.

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“…These conditions pushed the community to prepare a self-adaptation strategy by seeking refuge in a flood-free area in the event of a severe flood. However, approximately 65% of the affected community stays in their houses and prepares rubber tires as boats for emergency transportation if there is flooding greater than one meter [11].…”

Section: Current Status Of Flood Adaptationmentioning

confidence: 99%

“…Sudirman et al [10] identified the watershed of high probability to flood by considering the surface runoff. Another study focused on the flood adaptation strategy conducted by the local community [11]. The verification methods for evaluating the potential flood risk in previous studies were field surveys and the flood inundation area by sub-district or village region provided by the local government.…”

Section: Introductionmentioning

confidence: 99%

Cloud-Based Machine Learning for Flood Policy Recommendations in Makassar City, Indonesia

Rimba,

Arumansawang,

Utama

et al. 2023

Water

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Makassar City frequently experiences monsoonal floods, typical of a tropical city in Indonesia. However, there is no high-accuracy flood map for flood inundation. Examining the flood inundation area would help to provide a suitable flood policy. Hence, the study utilizes multiple satellite data sources on a cloud-based platform, integrating the physical factors of a flood (i.e., land use data and digital elevation model—DEM—data) with the local government’s urban land use plan and existing drainage networks. The research aims to map the inundation area, identify the most vulnerable land cover, slope, and elevation, and assess the efficiency of Makassar’s drainage system and urban land use plan. The study reveals that an uncoordinated drainage system in the Tamalanrea, Biringkanaya, and Manggala sub-districts results in severe flooding, encompassing a total area of 35.28 km2. The most affected land use type is cultivation land, constituting approximately 43.5% of the flooded area. Furthermore, 82.26% of the urban land use plan, covering 29.02 km2, is submerged. It is imperative for the local government and stakeholders to prioritize the enhancement of drainage systems and urban land use plans, particularly in low-lying and densely populated regions.

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Flood disaster and risk anticipation strategy

Cited by 8 publications

References 1 publication

Modeling Extreme Rainfall Events in the Tropical Monsoon Region: A Generalized Pareto Distribution Approach

Modeling Extreme Rainfall Events in the Tropical Monsoon Region: A Generalized Pareto Distribution Approach

Land conversion to cement factory and mining: Effect of environmental change to disaster and farmer livelihoods

Cloud-Based Machine Learning for Flood Policy Recommendations in Makassar City, Indonesia

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