The development of Tanjungpinang City in several sectors is an effort to make that city more advance. However, there is an important problem that needs to be considered. It is the problem of the comfort life index for the population who are living in Tanjungpinang City. The climate change can affect physiological comfort in an area. The increasing of temperature can trigger the Urban Heat Island. The aim of this study is to know the comfort life index in Tanjungpinang City using a heat index called as Humidex. The data are the air temperature, air humidity, and surface wind speed for the period of 1989-2018 from the Tanjungpinang Meteorological Station. The comparison of Humidex to wind speed and the number of vehicles in Tanjungpinang City was calculated to determine the effect on the heat index in Tanjungpinang City. The results show that the Humidex monthly average in the Tanjungpinang City area ranged from 32.6 to 34.0 °C. The highest Humidex monthly average is in May and June, and the lowest value is in January. The tendency of increasing Humidex ranged from 0.08 to 0.9 °C and decreasing ranged from 0.07 to 0.8 oC with the determinant coefficient value is 0.55. The increasing of wind speed impacts to decrease the value of Humidex. The increasing of the number of vehicles periodically impacts to increase the value of Humidex exponentially. There is an increasing of the thermal comfort when there is a decreasing value of Humidex or vice versa.
KM Sinar Bangun IV yang mengangkut penumpang sebanyak 188 orang dan 70 unit kendaaan diberitakan tenggelam di Danau Toba pada hari Senin tanggal 18 Juni 2018. Kejadian itu diprakirakan terjadi akibat adanya kelebihan kapasitas muatan, kondisi cuaca yang buruk, dan human error. Analisis cuaca baik dalam skala global, regional, maupun lokal dilakukan untuk mengetahui kondisi cuaca saat kejadian. Analisis data citra satelit, AWS, dan ARG digunakan untuk mengetahui kondisi cuaca juga. Berdasarkan analisis streamline terdapat shearline di sekitar wilayah Sumatera Utara yang dapat memicu pertumbuhan awan cumuliform khususnya awan Cumulonimbus. Suhu permukaan laut dalam kondisi hangat yaitu berkisar 28 − 30 o C sehingga konvektifitas antara atmosfer dan lautan cukup giat. Berdasarkan analisis time series suhu puncak awan dari kanal IR dan VIS, menunjukkan adanya pertumbuhan awan konvektif di sekitar Danau Toba. Pada saat kejadian, wilayah di sekitar Danau Toba sedang terjadi hujan dimana beberapa AWS dan ARG mencatat curah hujan yang mencapai lebih dari 30 mm/hari. Kata Kunci : cuaca buruk, himawari-8, satelit.Abstract KM Sinar Bangun IV was carrying passengers about 188 people and 70 units of vehicles when it sank in Lake Toba, North Sumatra on Monday, June 18, 2018. The incident was occurred due to overcapacity, bad weather condition, and human error. Meteorological analysis on a global, regional and local scales were used to determine atmospheric dynamics at the time of the event. Meanwhile, Satellite, AWS, and ARG data were used to determine the weather condition. Streamline analysis showed the shear line pattern in Sumatra Island and convergence in North Sumatra. The condition of sea surface temperature was warm enough in the range of 28 − 30 o C. These conditions triggered for the potential of convective clouds development. Himawari-8 satellite images from IR and VIS channels showed the development of convective clouds in Lake Toba right before the event happened. AWS and ARG measurements around the Lake Toba area recorded precipitation which the value was greater than 30 mm/day.
Improvement in Aerodrome Warning (AW) nowcasts need better prediction for supporting the safety and security of air traffic from extreme weather. AW consists of weather conditions, wind direction and wind speed, and visibility with observing time and validity time of forecast. Weather forecast verification is important for all stakeholders in the airport, so they can prepare and have plans to mitigate undesirable activity disturbance. AW and Automated Weather Observing System (AWOS) data are from Soekarno-Hatta Meteorological Station (07L) and Tanjungpinang Meteorological Station for January to April2019. Statistic test using hits, false alarm, misses, the correct negative is to find the score of POD, Bias, FAR, TS, and HSS which is to measure the magnitude of AW. Overall, AW has good accuracy to predict the extreme weather in the aerodrome.
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