Agromet <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).&nbsp;</p> en-US (Muh Taufik) (Mudrik Haikal) Tue, 04 Jul 2023 09:23:23 +0700 OJS 60 Correlation Analysis Between Urban Heat Island Intensity and Temperature Criticality Value in Denpasar City <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 (&gt;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&gt;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> I Ketut Gede Arta Putra, Idung Risdiyanto, Rahmat Hidayat Copyright (c) 2023 I Ketut Gede Arta Putra Putra, Idung Risdiyanto, Rahmat Hidayat Tue, 25 Jul 2023 15:14:48 +0700 Systematic Literature Review on Ozone Dispersion Correlated with Diurnal Concentration Pattern in Urban and Rural Areas <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> Ratih Dwi Fardilah, Ana Turyanti, Lutfi Aditya Pangestu, Maria Venita Dominica, Perdinan Copyright (c) 2023 Ratih Dwi Fardilah, Ana Turyanti, Lutfi Aditya Pangestu, Maria Venita Dominica, Perdinan Mon, 11 Sep 2023 00:00:00 +0700 Thermal Comfort for various Altitudes and Land Covers in North Sumatra <p>Thermal comfort refers to the suitability of meteorological conditions for <br>humans with the environment. Temperature is the main meteorological <br>variable, which determines the thermal comfort as expressed in various <br>climate indices. This study aims to analysis the distribution of thermal <br>comfort, and to identify environmental factors influencing the comfort <br>situated in North Sumatra, Indonesia. We applied the Universal Thermal <br>Climate Index (UTCI) to determine the heat stress level for 2011 - 2020. The <br>higher UTCI value indicates more uncomfortable conditions related to the <br>higher heat stress. The results showed that the average value of UTCI in North <br>Sumatra was categorised at moderate heat stress. Densely urbanised area in <br>the eastern region contributed to high heat stress, whereas mountainous <br>areas in central to west regions were at low level. Our findings found that <br>climate season affected the distribution of heat stress level. The low heat <br>stress occurred in December-February, while high heat stress happened in <br>June-August. Further, findings revealed that altitude and land cover have <br>contributed to UTCI variation by more than 75% variance.</p> Hanny Nirwani, Rini Hidayati, Perdinan Copyright (c) 2023 Hanny Nirwani, Rini Hidayati, Perdinan Mon, 09 Oct 2023 13:56:52 +0700 Climate influence on Diarrhea Disease in Tropical Regions based on Systematic Literature Review <p>Diarrhea disease presents a significant public health concern due to its impact on mortality, and research showed that climate plays an important role on diarrhea prevalence. However, effect of climate on diarrhea incidence was inconsistent among climate factors. Here, we investigated this inconsistency thorough systematic literature review. Our review encompassed the formulation of research questions, development of literature search strategies, and the establishment of inclusion/exclusion criteria for systematic data extraction. We carried out an extensive search from peer-review literature databases including Scopus, Pubmed, and Proquest for articles published between January 2000 to March 2023. We found that 74 studies focusing on diarrhea diseases and climate influencing factors met our inclusive criteria. Climate factors that affected diarrhea were rainfall, temperature, humidity, and climate seasonality. Our findings revealed that a positive association between diarrhea and rainfall was consistently observed. Other climate factors (temperature and humidity) indicated a positive correlation as well, although viral diarrhea exhibited a negative correlation with temperature. Further, bacterial and parasitic diarrhea diseases were more prevalent in the rainy season, whereas viral diarrhea occurred more frequently during the dry season with lower temperatures.</p> Dela Arinda, Rini Hidayati, Muh. Taufik Copyright (c) 2023 Dela Arinda, Rini Hidayati, Muh. Taufik Fri, 10 Nov 2023 16:49:15 +0700 Analysis of Carbon Dioxide Emission from Forest Fires based on Fire Radiative Power in Riau <p>Riau is one of the susceptible regions in Indonesia, which faces frequent land and forest fires. Fires occur in various land covers and soil types, both peat and mineral soils, which emitted huge carbon to the atmosphere. Forest fires emit greenhouse gases, including carbon dioxide (CO<sub>2</sub>). The objective of the research was to quantify CO<sub>2</sub> from land and forest fires. The quantification emission was for 2016 – 2018 based on the fire radiant power (FRP) dataset along with the buffer methodology for assessing fire-affected land extents across different land covers. The FRP dataset we used to be only at a confidence level of 70% or higher, which represents hotspots. The results revealed large numbers of FRP focal points (&gt; 1000) that can be identified as fires for 2016 and 2018, whereas only small numbers (121) were identified for 2017. Then we quantified the area burned of 95,396 Ha in Riau for 2016, which was double to the 2018’s area burned. Further, this burning contributed to CO<sub>2</sub> emission equal to 313,456 tCO<sub>2 &nbsp;</sub>for 2016. Emission in 2017 was a relatively low as not many observed fires detected.</p> Mochamad Afif Derma Kusuma, Fithriya Y Rohmawati, Idung Risdiyanto Copyright (c) 2023 Mochamad Afif Derma Kusuma, Fithriya Y Rohmawati, Idung Risdiyanto Wed, 15 Nov 2023 10:16:42 +0700