Impacts of Climate Change (El Nino, La Nina, and Sea Level) on the Coastal Area of Cilacap Regency

Supriatin, Lilik S.; Martono, Martono

doi:10.23917/forgeo.v30i2.2449

Cited by 9 publications

(8 citation statements)

References 1 publication

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“…Strong winds are defined as transient winds of 25 knots or 45 km/hour [5,6]. The concurrence of strong winds and heavy rains is the product of accumulating extreme weather symptoms, creating periodic threats in particular seasons that can be preceded by early warning or, in some cases, are undetectable at all [7][8][9]. As an approach to anticipating these hazards, knowledge of possible severe Table 1.…”

Section: Introductionmentioning

confidence: 99%

Physical vulnerability analysis of cultural heritage for strong winds in the city of yogyakarta, indonesia

Christianawati

Hizbaron

2022

IOP Conf. Ser.: Earth Environ. Sci.

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This study aimed to analyse which variable (s) had the most contribution to the vulnerability of strong winds in Yogyakarta. Strong winds are the second-largest disaster in Yogyakarta, Indonesia. The city has at least five cultural heritage regions, including Kotabaru, Kotagede, Malioboro, Pakualaman, and Kraton. It employed Spatial Multi-Criteria Evaluation (SMCE) to process 11 variables, i.e. age, height, and physical condition of the building, landmark, spatial design/architectural style, roads, regional effect, shape of the region, building density, also built-up land patterns. These ten variables processed by scoring and cluster sampling Meanwhile, the remaining variable, hazard, analysed using scoring. The results were two types of vulnerability scenarios. (1) The Equal Vulnerability Scenario (2) The Vulnerability Scenarios used research variables that were grouped into three levels of spatial patterns, namely, Spatial Pattern I (landmark, road, and the physical condition of the building), Spatial Pattern II (regional effect, building density, and hazard), and Spatial Pattern III (built-up land pattern, building age, building height, architectural style, and the shape of the region). All scenarios proved that CHR Kotagede was extremely vulnerable. This strong pattern determines hazard as the most contribution variable, since the similarities to Equal, Building Density, and Regional Effect.

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Section: Introductionmentioning

confidence: 99%

Physical vulnerability analysis of cultural heritage for strong winds in the city of yogyakarta, indonesia

Christianawati

Hizbaron

2022

IOP Conf. Ser.: Earth Environ. Sci.

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“…El Niño conditions cause a negative anomaly (decrease) in rainfall, while La Niña conditions trigger a positive anomaly (increase) in rainfall (Aldrian, 2008;Supari et al, 2018). In addition to rainfall, El Niño and La Niña phenomena also trigger anomalies in several sea parameters, such as temperature, chlorophyll-a, to sea level (Supriatin & Martono, 2016;Siswanto et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Relationship of ENSO (El Niño – Southernoscillation ) and monsoon index on variability of rainfall and sea surface height in coastal City Semarang, Central Java

Rosyidah

Kunarso

Indrayanti

2022

Depik

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The city of Semarang is one of the coastal areas in Indonesia that is prone to flooding. Flood events that often occur in the Semarang City area can be triggered by high rainfall. Variations in rainfall and sea level are closely related to global atmospheric circulation such as ENSO and regional atmospheric circulation, Monsoon. This study aims to examine the relationship between ENSO and Monsoon with the distribution of rainfall and sea level in coastal city Semarang from 2012 to 2021. Correlation and composite analysis were used to analyze the relationship and impact of ENSO and Monsoon phenomena on rainfall and sea level. The results showed the strong correlation of the ENSO index (Southern Oscillation Index) to rainfall in the JJA and SON periods. Generally, El Niño (La Niña) has an impact on increasing (decreasing) rainfall. Meanwhile, Australian Summer Monsoon Index (AUSMI) only strongly correlates with rainfall in the SON period. The westerly (eastern) wind indicated by a positive (negative) monsoon index in the SON period has the effect of increasing (reducing) rainfall. The ENSO phenomenon with sea level during the JJA period has a strong relationship. In JJA, the highest sea level (maximum tide) rises by 12.6 cm during El Niño and decreases by 0.6 cm during La Niña. Meanwhile, the lowest sea level (minimum low tide) decreased by 16.6 cm during El Niño and increased by 0.7 cm during La Niña. These results can explain the influence of global and regional atmospheric circulation on a local scale on the coast of Semarang City.Keywords:RainfallSea levelEl NiñoLa NiñaMonsoon

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“…However, the investigation of the extent of such events to affect the potential of sea surface rise is important since there is an interaction between air temperature and sea surface as well as between precipitation and sea level (Martono, 2016;Supriatin & Martono, 2016). In the beginning of June 2016, extreme weather occurred in the western waters of Sumatra and the southern waters of Java.…”

Section: Introductionmentioning

confidence: 99%

Impacts of Extreme Weather on Sea Surface Temperature in the Western Waters of Sumatera and the Southern Waters of Java in June 2016

Martono

2017

For. Geo.

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Abstract. Ocean dynamics are affected by the condition of the weather. Surface wind is one of the weather elements that has an important role on the ocean dynamics. This research was conducted to determine the impacts of extreme weather on sea surface temperature in the western waters of Sumatra and the southern waters of Java in June 2016. Data analysed in this study consisted of daily surface wind from 2007 to 2016, daily sea surface temperature from 1987 to 2016, and surface current from 1994 to 2016. The method used in this research was anomaly analysis. The result showed that in June 2016, extreme weather occurred in those waters. The impacts of extreme weather in the western waters of Sumatra and the southern waters of Java caused lower upwelling intensity that was indicated by an increase of sea surface temperature. The Increases of sea surface temperature in the BS1, BS2, SJ were 0.9 º C, 1.8 º C, and 1.6 º C, respectively.Keywords: Impacts, extreme weather, sea surface temperature, upwelling. Abstrak. Dinamika laut dipengaruhi oleh kondisi cuaca. Angin permukaan merupakan salah satu unsur cuaca yang mempunyai peranan penting terhadap dinamika laut. Penelitian ini dilakukan untuk mengetahui dampak cuaca ekstrim terhadap suhu permukaan laut di perairan

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Impacts of Climate Change (El Nino, La Nina, and Sea Level) on the Coastal Area of Cilacap Regency

Cited by 9 publications

References 1 publication

Physical vulnerability analysis of cultural heritage for strong winds in the city of yogyakarta, indonesia

Physical vulnerability analysis of cultural heritage for strong winds in the city of yogyakarta, indonesia

Relationship of ENSO (El Niño – Southernoscillation ) and monsoon index on variability of rainfall and sea surface height in coastal City Semarang, Central Java

Impacts of Extreme Weather on Sea Surface Temperature in the Western Waters of Sumatera and the Southern Waters of Java in June 2016

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