Agromet
Agromet publishes original research articles or reviews that have not been published elsewhere. The scope of publication includes agricultural meteorology/climatology (the relationships between a wide range of agriculture and meteorology/climatology aspects). Articles related to meteorology/climatology and environment (pollution and atmospheric conditions) may be selectively accepted for publication. This journal is published twice a year by Indonesian Association of Agricultural Meteorology (PERHIMPI) in collaboration with Department of Geophysics and Meteorology, Faculty of Mathematics and Natural Sciences, IPB University.
Articles
289 Documents
<![CDATA[Penentuan Awal dan Durasi Musim Kemarau Menggunakan Fungsi Polynomial dengan Aplikasi Visual Basic for Applications (VBA) ]]>
<![CDATA[Fadli Irsyad]]>;
<![CDATA[Satyanto Krido Saptomo]]>;
<![CDATA[Budi Indra Setiawan]]>
<![CDATA[ Agromet Vol. 28 No. 1 (2014) ]]>
Publisher : <![CDATA[PERHIMPI (Indonesian Association of Agricultural Meteorology) ]]>
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DOI: 10.29244/j.agromet.28.1.40-46
<![CDATA[Forecasting the occurrence of the onset of dry season and its length is important in determining the availability of water for irrigation, domestic and industrial uses. The length of dry season is used for reference in calculating water demand. Prediction of drought can be studied based on the rainfall patterns that have occurred. This is possible because there is a tendency that the rain will repeat a certain pattern at a certain time. The purpose of this study was to predict the onset of dry and rainy seasons as well as their length. Determination of the onset of dry season and its length was conducted using polynomial function of the cumulative amount of rain every single day based on the rain data. The research was conducted using rainfall data from Climate Station III in Serang from 1989 to 2010. The sum of daily rainfall could form a polynomial function. If the magnitude of daily rainfall in a certain period of time is less than the slope of the cumulative annual rainfall, then at that time the dry season is occurred. Determination of the dry season peak can be done by finding the maximum (extreme) point from the polynomial function by getting the second derivative which value is close or equal to zero. In average, the dry season occurred in Serang city started on the 132nd until 300th day. Deviation value for the onset of dry and rainy seasons were 23 and 38 days, respectively, with an average of length of 168 days. The average of R2 value for polynomial function was 0.9937.]]>
<![CDATA[Forecasting Season Onsets in Kapuas District Based on Global Climate Model Outputs ]]>
<![CDATA[Laode Nurdiansyah]]>;
<![CDATA[Akhmad Faqih]]>
<![CDATA[ Agromet Vol. 32 No. 1 (2018): JUNE 2018 ]]>
Publisher : <![CDATA[PERHIMPI (Indonesian Association of Agricultural Meteorology) ]]>
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DOI: 10.29244/j.agromet.32.1.1-10
<![CDATA[Predictions of the rainy and dry season onsets are very important in climate risk management processes, especially for the development of early warning system of land and forest fires in Kalimantan. This research aims to predict the rainy and dry season onsets in two cluster regions in Kapuas District, Central Kalimantan. The prediction models used to predict the onsets are developed by using seasonal rainfall data on September-October-November (SON) periods as predicted by five Global Climate Models (GCMs). The model uses Canonical Correlation Analysis (CCA) method available in the Climate Predictability Tool (CPT) software developed by the International Research Institute for Climate and Society (IRI), Columbia University. The results show that the predictors from HMC and POAMA models produce better canonical correlations (r = 0.72 and 0.89, respectively) compared to BCC (r=0.46), CWB (r=0.62), and GDAPS_F (r=0.67) models. In the development of models for predicting the dry season onsets, the predictors from CWB and POAMA models perform better canonical correlation results (r = 0.73 and 0.76, respectively) compared to BCC (r=0.53), GDAPS_F (r=0.64), and HMC (r=0.46) models. In general, the model validations showed that CWB, GDAPS_F, and POAMA models have better predictive skills than BCC and HMC models in predicting onsets of the rainy and dry seasons (with Pearson correlations (r) ranging between 0.30 and 0.75). Experiments on those five models for the predictions of rainy season onset in 2013 showed that the predicted onsets occurred on the range of 8 September to 22 October in Cluster 1 and on 3 to 7 October in Cluster 2. For the predictions of the dry season onsets in 2014, the models predicted the occurrences from 6 to 25 May in Cluster 1 and from 21 to 25 March in Cluster 2.]]>
<![CDATA[Analysis of Climate Index with Historical Burn Analysis Method for Climate Change Adaptation (A Case Study in Pacitan District, East Java) ]]>
<![CDATA[Yon Sugiarto]]>;
<![CDATA[Woro Estiningtyas]]>;
<![CDATA[Wahyu Sukmana Dewi]]>
<![CDATA[ Agromet Vol. 31 No. 1 (2017): JUNE 2017 ]]>
Publisher : <![CDATA[PERHIMPI (Indonesian Association of Agricultural Meteorology) ]]>
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DOI: 10.29244/j.agromet.31.1.1-10
<![CDATA[Drought recurrently occurs in Indonesia, and it is one of the climate-related hazards that has a major impact on agriculture and food security. However, there is no a scheme, which allows any damages in agriculture associated with drought event will get an insurance. This study aims to analyze the climate index based on the potency of drought in Pacitan District, East Java to support the development of climate index insurance as an effort to climate change adaptation. This study used a climate index derived from monthly rainfall data, which was calculated based on the historical burn analysis (HBA) method. We examined climate index and measured exit value as representing of the lowest value which payment of insurance should be fully paid. Our results showed that the value varies among sub-districts in Pacitan. Kebonagung sub-district revealed the highest exit value (89 mm), which means the insurance company should pay the full insurance coverage if the rainfall in the period insured below 89 mm. The lowest exit value (18 mm) was in Pringkuku sub-district. Our finding revealed that the index HBA is suitable to be applied in regions with limited climate data. Furthermore, our approach could be one of the strategies to cope with drought to stabilize rice production during the dry season. For wide implementation, supports from government through regulation is needed.]]>
<![CDATA[Comparison of Aerodynamic, Bowen-Ratio, and Penman-Monteith Methods in Estimating Evapotranspiration of Oil Palm Plantation ]]>
<![CDATA[Tania June]]>;
<![CDATA[Ni Wayan Srimani Puspa Dewi]]>;
<![CDATA[Ana Meijide]]>
<![CDATA[ Agromet Vol. 32 No. 1 (2018): JUNE 2018 ]]>
Publisher : <![CDATA[PERHIMPI (Indonesian Association of Agricultural Meteorology) ]]>
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DOI: 10.29244/j.agromet.32.1.11-20
<![CDATA[Oil palm is one important agricultural commodity that has high economic value. Oil palm productivity is significantly influenced by its water use (needs). Measurement and estimation of oil palm evapotranspiration is needed for determination of its water needs. Various methods are available and this study compare three methods, consisting of aerodynamic, Bowen-Ratio and Penman-Monteith methods in analyzing water needs/use of oil palms plantation located in PTPN VI Jambi. Peak of evapotranspiration rate occured in the afternoon around 13.00 and 14.00 local time. Bowen-Ratio method has higher estimation value of evapotranspiration than the other two methods. Ratio between evapotranspiration and global radiation of two and ten-years old oil palm plantations remain similar, around 47%. Penman Monteith method has the nearest estimation value to reference method (aerodynamic method) showed by the smallest RMSE value, 0.087 for two years oil palm and 0.157 for ten-years old oil palm.]]>
<![CDATA[Rainfall Prediction Using Artificial Neural Network ]]>
<![CDATA[Resti Salmayenti]]>;
<![CDATA[Rahmat Hidayat]]>;
<![CDATA[Aris Pramudia]]>
<![CDATA[ Agromet Vol. 31 No. 1 (2017): JUNE 2017 ]]>
Publisher : <![CDATA[PERHIMPI (Indonesian Association of Agricultural Meteorology) ]]>
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DOI: 10.29244/j.agromet.31.1.11-21
<![CDATA[Artificial neural network (ANN) is widely used for modelling in environmental science including climate, especially in rainfall prediction. Current knowledge has used several predictors consisting of historical rainfall data and El Niño Southern Oscillation (ENSO). However, rainfall variability of Indonesian is not only driven by ENSO, but Indian Ocean Dipole (IOD) could also influence variability of rainfall. Here, we proposed to use Dipole Mode Index (DMI) as index of IOD as complementary for ENSO. We found that rainfall variability in region with a monsoonal pattern has a strong correlation with ENSO and DMI. This strong correlation occurred during June-November, but a weak correlation was found for region with rainfall’s equatorial pattern. Based on statistical criteria, our model has R2 0.59 to 0.82, and RMSE 0.04-0.09 for monsoonal region. This finding revealed that our model is suitable to be applied in monsoonal region. In addition, ANN based model likely shows a low accuracy when it uses for long period prediction.]]>
<![CDATA[Evapotranspiration of Sandalwood (Santalum Album L.) Seedlings with Several Primary Host Plants ]]>
<![CDATA[Yudi Riadi FanggidaE]]>;
<![CDATA[Impron Impron]]>
<![CDATA[ Agromet Vol. 32 No. 1 (2018): JUNE 2018 ]]>
Publisher : <![CDATA[PERHIMPI (Indonesian Association of Agricultural Meteorology) ]]>
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DOI: 10.29244/j.agromet.32.1.21-30
<![CDATA[Sandalwood (Santalum album L.) seedlings planted with different primary host plants should require different amounts of water. In practice, however, sandalwood seedlings with different primary host plants are irrigated with similar amount of water. Thus, it is interesting to study the amount of water expressed as evapotranspiration for the sandalwood seedlings and their primary host plants because there are hemiparasitic symbiosis plants in one planting medium. The purpose of this research was to compare and analyse evapotranspiration (ET) and water use efficiency (WUE) of sandalwood seedlings with different primary host plants, namely chili (Capsicum annum), krokot (Alternanthera sp.), and sengon (Albizia chinensis). The experiment was conducted in a greenhouse and designed using completely randomized design. Results showed that different primary host plants already influenced ET at 6 days after sowing of primary host (DASH). The sandalwood seedlings with chili and krokot as primary hosts, had the highest ET during 6-22 DASH. From 24 to 36 DASH, ET for all types of host plants were similar. After 36 DASH, ET of sandalwood seeding with primary host sengon increased, and had the highest ET. Sandalwood seedling with primary host krokot had the highest WUE to produce sandalwood above ground biomass with value 0.3 g/l during the 0-3 weeks after sowing of primary host (WASH), 0.6 g/l during the 3-6 WASH, and 0.9 g/l during 6-9 WASH.]]>
<![CDATA[Ability of Ornamental Plants in Adsorbing Dust from Vehicles (Case Study: Bumi Serpong Damai) ]]>
<![CDATA[Sobri Effendy]]>;
<![CDATA[Nadita Zairina Suchesdian]]>;
<![CDATA[Ibnul Qayim]]>
<![CDATA[ Agromet Vol. 31 No. 1 (2017): JUNE 2017 ]]>
Publisher : <![CDATA[PERHIMPI (Indonesian Association of Agricultural Meteorology) ]]>
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DOI: 10.29244/j.agromet.31.1.22-30
<![CDATA[This research measured several vegetations that were planted in Bumi Serpong Damai, South Tangerang to absorb dust pollutions produced by vehicles. The locations for monitoring were divided based on traffic levels: high, medium and low. We measured the pollution based on two approaches i.e. measuring every four hours and a daily measurement. Based on our monitoring, each species will have different feedbacks to dust pollution at various traffic conditions. We found that species of Heliconia was able to absorb the dust at the top for high traffic condition, whereas Kaca Piring is effective for medium traffic. Our findings revealed that monitoring dust should be frequent at least four hours/day, and selection of species for reducing dust pollution should consider the leave structure. ]]>
<![CDATA[ANALISIS DAMPAK ENSO (EL-NINO SOUTHERN OSCILLATION) TERHADAP TINGKAT KEKERINGAN UNTUK TANAMAN PANGAN DAN PALAWIJA (STUDI KASUS : SULAWESI SELATAN) ]]>
<![CDATA[Yon Sugiarto]]>;
<![CDATA[Dori Kurniawan]]>
<![CDATA[ Agromet Vol. 23 No. 2 (2009): December 2009 ]]>
Publisher : <![CDATA[PERHIMPI (Indonesian Association of Agricultural Meteorology) ]]>
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DOI: 10.29244/j.agromet.23.2.182-198
<![CDATA[Weather and climate variability is a long-term weather changes that are characterized by fluctuations and deviations from normal conditions. One possible cause is the ENSO (El-Nino Southern Oscillation) which affected in drought events. This research was conducted to determine and analyze the level of drought in South Sulawesi due to the influence of ENSO and compare the production of food crops and secondary food crops in normal years and ENSO.Drought index is calculated based on the Palmer method by using data of rainfall, air temperature and soil moisture as input. Based on the calculations using the method of Palmer drought index, the regions with monsoon rain patterns have a range of values between -22.71 drought until 18:23, Equatorial patterns ranging from -4.03 to 5:07, and on local patterns rangedfrom -8.57 until 10:07. Verification test results on the drought index of crop production data showed that each ENSO event is always followed by a decline in rice production, especially of rice fields. Food crop production generally tends to increase at each ENSO event because most crops are plants that are resistant to drought, particularly local varieties that have adapted well to their environment. Thus, the drought caused by the influence of ENSO can affect the production of food crops and secondary food crops.]]>
<![CDATA[The Estimation of Rainwater Acidity Level based on the Ambient Air Pollutants Concentration (Case Study: DKI Jakarta) ]]>
<![CDATA[Ana Turyanti]]>;
<![CDATA[C Chaerunnisa]]>
<![CDATA[ Agromet Vol. 31 No. 2 (2017): DECEMBER 2017 ]]>
Publisher : <![CDATA[PERHIMPI (Indonesian Association of Agricultural Meteorology) ]]>
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DOI: 10.29244/j.agromet.31.2.71-79
<![CDATA[Nowadays, acid rain is a common phenomenon occurring in metropolitan city, such as Jakarta. Human activities including transportation and industries in and surrounding this city have increased pollutants in the atmosphere, which lead to an increased of acid rain events. Analyzing on rainwater pH is common approach to assess whether an acid rain occurs or not. However, information on this pH value for greater Jakarta is limited. Here we used a combined of Henry's law approach and Weather Research Forecasting-Chemistry (WRF-Chem) to estimate rainwater pH in Jakarta. The WRF-Chem was employed to generate SO2 and NO2 concentrations. Results showed that rainwater pH is below the threshold (pH = 5.6) in observation and modeling (Henry’s approach) throughout greater Jakarta. Rainwater pH showed a diurnal fluctuation with low value during night and morning, but high value at afternoon. Likely, season contributed to distribution of acid rain. Based on Henry’s approach, some regions (Bundaran HI, Kebon Jeruk, and Jagakarsa) revealed a high potency of acid rain for rainy season as indicated by the H+ concentration. On other hand, a high potency of acid rain during dry season was observed in Kelapa Gading and Bundaran HI. Our findings indicated that traffic may influence on rain acid events as shown by a high H+ concentration in Bundaran HI both dry and wet seasons.]]>
<![CDATA[Determination of Extreme Hydrological Index using HBV Model Simulation Results (Case Study : Upper Ciliwung Watershed) ]]>
<![CDATA[Isnayulia Lestari]]>;
<![CDATA[Bambang Dwi Dasanto]]>
<![CDATA[ Agromet Vol. 33 No. 1 (2019): JUNE 2019 ]]>
Publisher : <![CDATA[PERHIMPI (Indonesian Association of Agricultural Meteorology) ]]>
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DOI: 10.29244/j.agromet.33.1.20-29
<![CDATA[The study of climate change on hydrological response is a crucial as climate change impact will drive the change in hydrological regimes of river. Upper Ciliwung watershed is one of the critical rivers in Java Island, which has been affected by climate change. This study aims to: (i) simulate the discharge flow using the Hydrologiska Byrans Vattenbalansavdelning (HBV) model; (ii) simulate future flow using three general circulation models (GCM) namely Commonwealth Scientific and Industrial Research Organisation (CSIRO) Mk.3.6.0, Model for Interdisciplinary Research on Climate version 5 (MIROC5), and Geophysical Fluid Dynamics Laboratory-Coupled Model generation 3 (GFDL-CM3); (iii) determine the changes of extreme hydrological index during historical period (2001-2015) and projected period (2031-2045). The historical year simulation and projections are used to determine eight hydrologic extreme indices for high flow and low flow. We calibrated the HBV model for two years (2001-2002) and validated it for two years (2003-2004). Our model performed well in discharge simulation as shown by the NSE values (0.66 for calibration and validation). Then we calculated the indices for each period used (historical and projected). To show the changes in hydrological regimes, we compare the indices between two periods. Changes in the index of the two periods tend to decrease in value on the index parameters that characterize the minimum extreme events. Hence, that it is possible in the projected period there will be extreme hydrological events in the form of drought.]]>
