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INDONESIA
Agromet
ISSN : 01263633     EISSN : 2655660X     DOI : -
Core Subject : Agriculture,
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.
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Articles 5 Documents
Search results for , issue "Vol. 31 No. 2 (2017): DECEMBER 2017" : 5 Documents clear
The Estimation of Rainwater Acidity Level based on the Ambient Air Pollutants Concentration (Case Study: DKI Jakarta) Ana Turyanti; C Chaerunnisa
Agromet Vol. 31 No. 2 (2017): DECEMBER 2017
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (658.542 KB) | DOI: 10.29244/j.agromet.31.2.71-79

Abstract

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.
The Cooling Effect Estimation of Green Space Area Using an Empirical Approach in IPB Darmaga Campus Sobri Effendy; Ahmad Sururi
Agromet Vol. 31 No. 2 (2017): DECEMBER 2017
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (729.006 KB) | DOI: 10.29244/j.agromet.31.2.53-61

Abstract

Green space area has contributed to increase atmospheric condition in surrounding area. Here we would like to test the cooling effect of small green area located in IPB campus Darmaga. We monitored air temperature at the morning (6 am) and afternoon (2 pm) for period March-June 2013 in three different sites in campus. Totally, we collected 658 observed data. Our results showed that partial shade area (PSA) and site were the most influenced factors that contributed to the cooling effect. It appears that the cooling effect was found until a distance of 50 m from each monitoring site.  The cooling effect varied among sites, but it is consistent that the maximum effect occurred during afternoon. Our analysis confirmed that PSA has contributed to the cooling effect until 28%. Other factors that contributed to the cooling effect were vegetation characteristics and geometric configuration of the canopy. Further, our findings revealed that greenspace area is valuable to minimize high temperature effect from traffic street.
Incidence Analysis of an Acute Respiratory Infection due to Climate Conditions and PM10 Concentration in West Jakarta Region Rini Hidayati; Septina Tri Anggiani; Ikoh Maufikoh
Agromet Vol. 31 No. 2 (2017): DECEMBER 2017
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (486.919 KB) | DOI: 10.29244/j.agromet.31.2.62-70

Abstract

Humans have contributed to an increased of particulates concentration due to their daily life activities including from transportation, industry, infrastructure and household. One common particulate found is PM10, which affects human health such as respiratory tract disorders. Weather condition controls PM10 concentration. This research aims to analyze the weather impact on PM10 concentration associated with the occurrence of acute respiratory infections. We analysed relationship between rainfall and PM10 on day to seasonal timescale resolution. Our results show a negative correlation between rainfall and PM10. It appears that season strongly influences the correlation with high and low PM10 concentration occurred during July-August (dry season) and December-February (wet season), respectively. At daily basis, our findings revealed that minimum PM10 concentration occurred at 06.00 am, and it will increase following human activities while people are going to workplace and school. Further, we found that a combining of low humidity and high PM 10 concentration will lead to high acute respiratory infections.
Simulation Model to Analyze the Effect of Planting Schedule and Predict the Productivity of Red Chilies in Pagar Alam City Nur Annissa; . Impron
Agromet Vol. 31 No. 2 (2017): DECEMBER 2017
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (579.623 KB) | DOI: 10.29244/j.agromet.31.2.80-88

Abstract

The city of Pagar Alam, South Sumatra is at an altitude of 600-2700 masl. The city has climatic and soil condition suitable for red chili plants (Capsicum annuum L.) that have high economic value. However, the fluctuating amount of red pepper production throughout the year can lead to excess or lack of availability of red chili in the market. This research was conducted to use a crop model to simulate the development, growth, and production of red pepper plant. This model used daily weather as input to simulate daily biomass (kg/ha) components of roots, stems, leaves, and fruits. Comparison of fruit components from simulation with field data taken at three areas in Pagar Alam city showed model accuracy of 76% for Koramil area, 91% for Perandonan area, and 85% Pagargading area. The simulation model result show that the average monthly chili productivity varies; highest of 3376 kg/ha if planting is done in October, and the lowest of 2828 kg/ha if planting is done in February.
Water Allocation Based on Economic Criteria Using Aquarius Model (A Case Study in Ambang-Brantas subbasin, Indonesia) I Putu Santikayasa; . Agis; Siti Maesaroh
Agromet Vol. 31 No. 2 (2017): DECEMBER 2017
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1427.684 KB) | DOI: 10.29244/j.agromet.31.2.89-102

Abstract

The use of economic approach on water allocation are inclusively becoming integrated on water resource management. Competing among water users is expected to escalate due to increasing water demand despite of limited water availability. This research used economic approach aiming to optimize water allocation in Ambang-Brantas subbasin, Malang, and to calculate the total benefit for different sectors of allocated water. We distinguished two scenarios (2012–2015 and 2016–2035) to reflect the existing and the future water allocation. We modelled the water allocation with the Aquarious application. In this subbasin, three main sectors of water users were identified i.e. domestic, agriculture, and industries. The results showed that the agricultural sector was the highest water demand compared to other sectors. This finding was consistent both monthly and annually. Our findings revealed that industries sector show the maximum benefit per unit water used. Based on the scenario, either a decreasing water availability by 10% or an increasing water demand by 10% will decline the total benefit by 44%. If we increase the scenario to 20% it will reduce the total benefit until 71%. This modelling exercise using Aquarius application shows that the model is a promising tool for water resource management with integration of economic approach.

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