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All Journal Agromet Indonesian Journal of Geography Journal of Degraded and Mining Lands Management Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Jurnal Hukum Lingkungan Indonesia Forest and Society International Journal of Disaster Management Journal of Climate Change Society Causa: Jurnal Hukum dan Kewarganegaraan Policy Brief Pertanian, Kelautan, dan Biosains Tropika BIODIVERS - BIOTROP Scientific Magazine Jurnal Meteorologi dan Geofisika J-Sil (Jurnal Teknik Sipil dan Lingkungan)
P. Perdinan
Department Of Geophysics And Meteorology, Faculty Of Mathematics And Natural Sciences, IPB University, IPB Darmaga Campus, Bogor, 16680, Indonesia
Agriculture, Biological Sciences & Forestry Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Physics Social Sciences Transportation

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Journal : agromet

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Systematic Literature Review on Ozone Dispersion Correlated with Diurnal Concentration Pattern in Urban and Rural Areas Fardilah, Ratih Dwi; Turyanti, Ana; Aditya Pangestu, Lutfi; Venita Dominica, Maria; Perdinan
Agromet Vol. 37 No. 2 (2023): DECEMBER 2023
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/j.agromet.37.2.77-90

Abstract

Ground level ozone is known to exhibit a strong daily variation of concentration leading to long-range transport of air pollutants from urban to rural areas. Moreover, the characteristics of O3 relationship between urban, suburban, and rural sites can be explained by O3 photochemical chemistry and meteorological dispersions as indicated by the different result of O3 diurnal pattern. However, little is known about the global phenomenon of diurnal concentration of ozone, meteorological dispersion such as long-range transport, and their correlation with ozone precursors, especially in urban and rural areas. This paper attempt to compare the difference between daily ozone fluctuations in both sites and assess some factors that cause long-range ozone transport from urban and rural areas both in subtropical and tropical areas for global scale. Using systematic literature review analysis with the PRISMA method, it examined 43 peer-reviewed articles published between 2010 and 2022 globally meeting the inclusion criteria. The result showed that the fluctuation patterns of daytime ozone in urban and rural areas are different to those in tropical and subtropical regions, depending on latitude. This was primarily due to the influence of solar radiation and the presence of precursors. Conversely, a slight decrease in ozone rate at night occurs because the precursor was accumulated by the shutdown of photochemical ozone production. Some precursors of ozone from other regions can be transported and accumulated from the long-range transport process in other locations. This paper serves as an initial guideline to analysing the pattern of ozone concentration in urban and rural areas and the factors that influence it.
Thermal Comfort for various Altitudes and Land Covers in North Sumatra Hanny Nirwani; Hidayati, Rini; Perdinan
Agromet Vol. 37 No. 2 (2023): DECEMBER 2023
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/j.agromet.37.2.91-98

Abstract

Thermal comfort refers to the suitability of meteorological conditions for humans with the environment. Temperature is the main meteorological variable, which determines the thermal comfort as expressed in various climate indices. This study aims to analysis the distribution of thermal comfort, and to identify environmental factors influencing the comfort situated in North Sumatra, Indonesia. We applied the Universal Thermal Climate Index (UTCI) to determine the heat stress level for 2011 - 2020. The higher UTCI value indicates more uncomfortable conditions related to the higher heat stress. The results showed that the average value of UTCI in North Sumatra was categorised at moderate heat stress. Densely urbanised area in the eastern region contributed to high heat stress, whereas mountainous areas in central to west regions were at low level. Our findings found that climate season affected the distribution of heat stress level. The low heat stress occurred in December-February, while high heat stress happened in June-August. Further, findings revealed that altitude and land cover have contributed to UTCI variation by more than 75% variance.
A Comparison of the Performance of the Weighted Ensembles Means in CORDEX-SEA Precipitation Simulations Aminoto, Tugiyo; Faqih, Akhmad; Perdinan; Koesmaryono, Yonny; Dwi Dasanto, Bambang
Agromet Vol. 38 No. 1 (2024): JUNE 2024
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/j.agromet.38.1.19-35

Abstract

Numerous studies stated that the performance of ensemble mean derived from multiple climate models generally surpassed the individual member model, and applying weighting factors potentially increase the ensemble mean of performance. This study aims to assess the performance of unweighted and weighted ensemble means of 9-modelled precipitation datasets in the CORDEX-SEA multi-model simulations for 1981-2005. The 9 datasets included: CNRM_a, ECE_b, GFDL_b, IPSL_b, HadGEM2_a, HadGEM2_c, HadGEM2_d, MPI_c, and NorESM1_d. The weighting factors were derived from the models' skill scores measured using five statistical-based metrics, namely Taylor, Pierce (SS), Tian skill score (Tian), Climate prediction index (CPI), and Performance and Independence (PI). The ERA5 and GPCP precipitation datasets were used as the references for comparison. Then, reliable metrics will be used to determine the weighting factor. The results found that three metrics namely Taylor, SS, and Tian were more reliable than the other two metrics (CPI and PI). Spatially, the weighted ensemble mean based on a random method was superior to other ensemble mean methods and individual models. We found that the CNRM_a and GFDL_b models were spatially performed best. In contrast, most the ensemble means was temporally less performed compared to the individual model. Our findings suggested that by removal of low performance models will significantly influence on the overall ensemble model performance. Further, the research may provide valuable considerations of climate models selection for climate projection assessments, especially in the Southeast Asia region.
Extreme Rainfall Analysis in the Bengawan Solo Watershed, Java Perdinan; Hapsari, Indri; Mudzakir Setiawan, Amsari
Agromet Vol. 38 No. 1 (2024): JUNE 2024
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/j.agromet.38.1.36-48

Abstract

As the largest watershed in Java Island, the Bengawan Solo watershed has experienced recurrent hydrometeorological hazards, leading to infra-structure damage, casualties, and environmental degradation. Research on extreme rainfall causing the hazards in the Bengawan Solo watershed is still limited. This study examines extreme rainfall events by analyzing daily rainfall data (1991-2020) at three observation stations namely Musuk, Tinap, and Lowayu, which represent the upstream, middle, and downstream of the Bengawan Solo watershed. The Extreme Value Theory (EVT) using the Block Maxima approach with a Generalized Extreme Value (GEV) method was used to determine the rainfall return period of 5, 10, 20, 30, and 50-year. We applied the Mann-Kendall test to assess the annual trends of extreme rainfall indices recommended by the Expert Team on Climate Change Detection and Indices (ETCCDI). The results found that the highest estimated annual maximum of daily rainfall was in Musuk station (226.7 mm), followed by Tinap station (159.3 mm) and Lowayu station (149.4 mm). While no significant trend was observed for Musuk, other stations showed a significant trend for the decrease of the daily rainfall intensity, the increase of the number of annual rainy days, the decrease of the annually maximum amount of five consecutive precipitation days, and the increase of the annually number of consecutive wet days. There is also an increase in the maximum amount of annual rainfall for one day (Rx1day) at Lowayu station, which indicates a higher risk of disaster due to high rainfall. Additionally, an increasing trend in the total annual rainfall (PRCPTOT) at Musuk, Tinap, and Lowayu stations suggests a greater potential for water storage to meet water needs in these areas.
Flood Management Strategy Based on Analysis of Regional Characteristics and Causal Factors in Kendari City Agus Sakawuna, Wandira; Indra Setiawan, Budi; Perdinan
Agromet Vol. 39 No. 1 (2025): JUNE 2025
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/j.agromet.39.1.56-66

Abstract

Flooding is a disaster that causes environmental damage, economic losses, and social problem. Kendari City is one of the Indonesian cities that frequently experiences floods due to various factors, including high rainfall, land use changes, poor drainage conditions, and improper spatial management. This study aims to (1) assess the factors contributing to flooding, (2) analyze government governance and community participation in flood management, and (3) formulate an integrated flood management strategy. The methods used were descriptive analysis, spatial approach, SWOT analysis, and Quantitative Strategic Planning Matrix (QSPM). The results showed that there is evidence of land use changes between 2013 – 2023 based on spatial image analysis. We found there were three sub-districts, which is categorized on high flood vulnerability namely Baruga, Kadia, and Kambu sub-districts. Based on the level of community preparedness parameters including knowledge and attitudes, emergency plans, early warning, and resource mobilization, Baruga belongs to the medium category (74.60%), while Kambu (57.42%) and Kadia (59.58%) were in low category. QSPM analysis recommends two priority strategies to reduce flood vulnerability namely accelerating drainage system improvements and replicating the Baruga model in other areas. Future research should focus on climate change-induced flood modeling, gender-sensitive vulnerability assessments, and economic loss estimation to enhance the effectiveness of flood management strategies.
Designing A Rainfall Potential Prediction Model Based on Atmospheric Stability in Airport Areas Yus Prihatinina; Perdinan; Akhmad Faqih; Supari
Agromet Vol. 40 No. 1 (2026): JUNE 2026
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/j.agromet.40.1.12-25

Abstract

Rainfall forecasting in airport areas plays a crucial role in ensuring flight safety and operational reliability, yet local characteristics effect on rainfall intensity are overlooked. This study aims to develop a rainfall occurrence and intensity prediction model using Artificial Neural Network (ANN) based on atmospheric stability indices including Showalter Index (SI), Lifted Index (LI), K Index (KI), Total Totals (TT), Convective Available Potential Energy (CAPE), Convective Inhibition (CIN), and Precipitable Water (PW). Data were obtained from radiosonde observations, Automated Weather Observing System (AWOS), and Meteorological Aerodrome Report (METAR) in Soekarno-Hatta International Airport January 2020-December 2024 at 00 and 12 UTC. We used two stage analysis (1) binary rainfall occurrence prediction and (2) three-class rainfall intensity prediction based on selected feature. Our results reveal that ANN is capable to simulate rainfall occurrence with high accuracy (>0.78), outperforming the minimal-feature model (0.738) and all other configurations. Physically, the atmospheric indices can be grouped into three categories: stability-related indices (SI, LI, KI, TT), energy-related indices (CAPE, CIN), and moisture-related indices (PW), representing key factors influencing convective rainfall in tropical regions. However, the model’s applicability may be limited in study site due to local climatic characteristics and temporal constraints of the dataset. These findings highlight the importance of selecting physically relevant atmospheric parameters and implementing robust data preprocessing to enhance rainfall prediction accuracy in operational aviation contexts.
Co-Authors . Supriyanto A, Trijanti A. Widinni Adi, Ryco F Aditya Pangestu, Lutfi Agus Sakawuna, Wandira Akhmad Faqih Akhmad Faqih Ana Turyanti ARI SETIAWAN Arif Wibowo Atmaja, Tri Ayu Arista Andarini Putri Azka Zakiyyatuddin Bambang Dwi Dasanto Bambang Yudho Rudiyanto Bony Septian Pandjaitan Budi Indra Setiawan Chairunnisa, Nurul Chusnul Arif DEWI RAHMAWATI Di Gregorio, Monica Dodik Ridho Nurrochmat Donaldi Sukma Permana Dwi Ariyani Dyah Lukita Sari, Dyah Lukita Euis Sunarti Evelyn V. Bigcas Fardilah, Ratih Dwi Furqon Alfahmi Hadi Susilo Arifin Hadisfied Rama Suhada Hanny Nirwani Herlan Darmawan Imam Suyanto Imantho, Harry Indri Hapsari Irwan Meilano Irzaman, Irzaman Istaviolani, Silva Juniati, Atie Tri Kiki Kiki, Kiki M Guna Setiawan Maria Evita Mitra Djamal Mohammad Yasin Mudzakir Setiawan, Amsari Muhammad Qustam Sahibuddin Mukhammad Asyief Khasan Budiman Nina Siti Aminah Purwanto, Yanuar Jarwadi Putri Lestari, Putri Rahmad Fauzi Rahmadhani, Rizki Ayu Rahmat Hidayat Raynaldi Rachmat Retna Apsari Rhomi Ardiansyah Rini Hidayati Risa Rosita Roudhoh Khalimatus Zuhro Satriyo Wibowo Sensius Seno Sheriffdeen, Muhammad Sri Ok Suryani Sri Widayanti SRI WIDAYANTI Sugiarto, Slamet Widodo Sukma Permana, Donaldi Supari Supriyanto Surya Genta Akmal Suryanto, Wiwit Syamsul Bahri Agus, Syamsul Bahri Tania June Tugiyo Aminoto Venita Dominica, Maria Wahyu Srigutomo Wahyudi Wahyudi Widiastuti, Herni Wido Hanggoro Woro Estiningtyas Yahya, Rizka Ora Aurora Yana, Sumayah Fitri Yon Sugiarto Yonny Koesmaryono Yonvitner Yus Prihatinina Zulhamsyah Imran