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All Journal Agromet Forum Geografi
Anggraeni, Rian
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Agriculture, Biological Sciences & Forestry Earth & Planetary Sciences

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COMPARISON OF TOTAL SUSPENDED PARTICULATE (TSP) MEASUREMENT IN URBAN AND SUBURBAN AREAS OF BALI DURING NYEPI DAY 2015 Nuraini, Tri Astuti; Permana, Donaldi Sukma; Satyaningsih, Ratna; Anggraeni, Rian; Aldrian, Edvin
Forum Geografi Vol 33, No 2 (2019): December 2019
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v33i2.8670

Abstract

Nyepi or the Balinese Day of Silence (DOS) is a day when people celebrate every New Year according to the Balinese calendar (Saka). On that day, all resident activities were very restricted, with no outdoor activities. This event, which only lasted for 24 hours, is a unique period to conduct air quality measurements such as Total Suspended Particulate (TSP) for assessing the influence of human activities. This study only focuses on TSP monitoring before, during and after the DOS and its comparison with the meteorological data. TSP concentration measurements were conducted in 2 urban areas (Badung and Ubung) and a sub-urban area (Singaraja) from March 17 to March 25, 2015. The results show that TSP concentrations are negatively correlated with temperature and wind speed at each location. Hourly TSP concentrations during DOS are lower than the averaged TSP concentrations before and after DOS. During DOS, TSP concentrations decreased significantly in urban areas by 73-78% relative to regular days, which is likely due to drastically decreasing of human activities. In suburban areas, the decrease of TSP concentration was about 59%. These results show that human activities highly influence the air quality.
Modeling of Heavy Rainfall Triggering Landslide Using WRF Model Nuryanto, Danang Eko; Fajariana, Yuaning; Pradana, Radyan Putra; Anggraeni, Rian; Badri, Imelda Ummiyatul; Sopaheluwakan, Ardhasena
Agromet Vol. 34 No. 1 (2020): JUNE 2020
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1951.216 KB) | DOI: 10.29244/j.agromet.34.1.55-65

Abstract

This study revealed the behavior of heavy rainfall before landslide event based on the Weather Research Forecasting (WRF) model. Simulations were carried out to capture the heavy rainfall patterns on 27 November 2018 in Kulonprogo, Yogyakarta. The modeling was performed with three different planetary boundary layer schemes, namely: Yonsei University (YSU), Sin-Hong (SH) and Bougeault and Lacarrere (BL). Our results indicated that the variation of rainfall distribution were small among schemes. The finding revealed that the model was able to capture the radar’s rainfall pattern. Based on statistical metric, WRF-YSU scheme was the best outperforming to predict a temporal pattern. Further, the study showed a pattern of rainfall development coming from the southern coastal of Java before 13:00 LT (Local Time=WIB=UTC+7) and continued to inland after 13:00 LT. During these periods, the new clouds were developed. Based on our analysis, the cloud formation that generated rainfall started at 10:00 LT, and hit a peak at 13:00 LT. A starting time of cloud generating rainfall may be an early indicator of landslide.
Co-Authors Badri, Imelda Ummiyatul Donaldi Sukma Permana Edvin Aldrian Fajariana, Yuaning nuraini, tri astuti Nuryanto, Danang Eko Radyan Putra Pradana, Radyan Putra Satyaningsih, Ratna Sopaheluwakan, Ardhasena