https://journal.ipb.ac.id/index.php/agromet/issue/feedAgromet2023-09-11T15:25:51+07:00Muh Taufikmtaufik@apps.ipb.ac.idOpen Journal Systems<p><strong>Agromet</strong> is published twice a year by the Indonesian Association of Agricultural Meteorology (PERHIMPI) in collaboration with Department of Geophysics and Meteorology, Faculty of Mathematics and Natural Sciences, IPB University. Agromet publishes original research articles or reviews that have not been published elsewhere. The scope of publication related to weather and climate issues (agriculture, forestry, water resources, environment, ecology, and health as affected by weather and climate variability and change). </p>https://journal.ipb.ac.id/index.php/agromet/article/view/45573Correlation Analysis Between Urban Heat Island Intensity and Temperature Criticality Value in Denpasar City2023-07-26T09:03:18+07:00I Ketut Gede Arta Putraarta_putrasss@apps.ipb.ac.idIdung Risdiyantoidungris@apps.ipb.ac.idRahmat Hidayatrahmat.hidayat.asad@gmail.com<p class="Paragraph" style="margin-top: 0cm; text-align: justify; text-indent: 1.0cm; line-height: 150%;">The compactness of buildings in Denpasar resulted in the formation of urban heat islands (UHI), which can be evaluated through the Urban Thermal Field Variance Index (UTFVI) and Environment Criticality Index (ECI). ECI is the ratio of land surface temperature to the Normalized Difference Vegetation Index (NDVI). It can be transformed into Temperature Criticality Value (TCV) using air temperature and Index-based Built-up Index (IBI). This study aims to identify the UHI intensity, the impact of land cover changes, and its association with the TCV. The study employs Landsat 8 imagery and field measurements data, and the findings demonstrate that the study area was mainly composed of built-up areas that had grown from 2015 to 2021. TFVI indicates the most intense UHI (>0.02) in the built-up areas, whereas the mean value of NDVI suggested a reduction in vegetation density. The density of built-up areas (IBI) had increased, while vegetation had decreased. TCV in 2015 ranged from -11.15°C.IBI to 6.42°C.IBI; 2018 between -9.96°C.IBI to 6.79°C.IBI; and 2021 between -10.84°C.IBI to 6.87°C.IBI showed that the environment had become increasingly critical from 2015 to 2021. A transect analysis revealed that more vigorous UHI intensity, denser buildings, and a more critical environment were present in urban centers compared to the suburbs. The correlation coefficient (r) between TCV and UTFVI was relatively robust (0.75–0.82), indicating that the growth of UHI intensity was associated with a more critical environment. TCV has the strongest (r=0.99) and strong correlation (r>0,80) with Built-up Index but inverse correlation with NDVI. Therefore, limiting the expansion of built-up areas and increasing vegetation could help to control the environment's criticality.</p>2023-07-25T15:14:48+07:00Copyright (c) 2023 I Ketut Gede Arta Putra Putra, Idung Risdiyanto, Rahmat Hidayathttps://journal.ipb.ac.id/index.php/agromet/article/view/46704Systematic Literature Review on Ozone Dispersion Correlated with Diurnal Concentration Pattern in Urban and Rural Areas2023-09-11T15:25:51+07:00Ratih Dwi Fardilahrdwifardilah@gmail.comAna Turyantiana@apps.ipb.ac.idLutfi Aditya Pangestulap17111999@gmail.comMaria Venita Dominicamaria_venita@apps.ipb.ac.idPerdinanperdinan@biotrop.org<div class="page" title="Page 1"> <div class="layoutArea"> <div class="column"> <p>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 O<sub>3 </sub>relationship between urban, suburban, and rural sites can be explained by O<sub>3 </sub>photochemical chemistry and meteorological dispersions as indicated by the different result of O<sub>3 </sub>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.</p> </div> </div> </div>2023-09-11T15:13:28+07:00Copyright (c) 2023 Ratih Dwi Fardilah, Ana Turyanti, Lutfi Aditya Pangestu, Maria Venita Dominica, Perdinan