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Agromet

agromet
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Published by Institut Pertanian Bogor

ISSN : 01263633 EISSN : 2655660X DOI : -

Core Subject : Agriculture,

Agriculture, Biological Sciences & Forestry

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 267 Documents

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PEMANFAATAN SUMBER AIR PEGUNUNGAN UNTUK MENGANTISIPASI KEKERINGAN PADA MUSIM KEMARAU UNTUK TANAMAN KUBIS(TO EXPLOIT MOUNTAIN WATER RESOURCE FOR ANTICIPATION DROUGHT AT DRY SEASON FOR CABBAGE) Meinarti Norma S; Sodiq Jauhari
Agromet Vol. 22 No. 2 (2008): December 2008
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Operational step for dry season anticipation among to take schedule in plant pattern at location which often affected El Nino, to evaluate rain characteristic, to evaluaete irrigation availability, to prepare irrigation infrastructure and exploit alternative water resources. Beginning step for to got time and plant pattern with climate data is CWB-Eto program simulation. In this activity, data is taked from climate data at Canggal, Temanggung 2006, cabbage agronomy data and content water data. The result of climate data observation and CWB-Eto program simulation show the rain with 100 mm occurred at January – April and November – December, while the 20 % lost yield occurred.When farmer plants cabbage at January – Mei and September – October. For anticipation drought, micro irrigation and micro climate modification will decrease lost yield. The farmer when he will plant cabbage at dry season must make micro climate among mulc and irrigation with three day one. When we compare between the result research FAO and at Canggal, so cabbage which at Canggal was in good condition. Cabbage production at Canggal was 1,1 kg/plant and cabbage production at the result FAO is between 1 – 1.7 kg / plant.

ESTIMATION OF NET PRIMARY PRODUCTION (NPP) USING REMOTE SENSING APPROACH AND PLANT PHYSIOLOGICAL MODELING(PENDUGAAN NET PRIMARY PRODUCTION (NPP) MENGGUNAKAN PENDEKATAN PENGINDERAAN JAUH DAN MODELING FISIOLOGIS TANAMAN) Yon Sugiarto; Tania June; Bambang Sapto P
Agromet Vol. 22 No. 2 (2008): December 2008
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Information Net Primary Production (NPP) of tropical forests is important for the development of realistic global carbon budgets and for projecting how these ecosystems will be affected by climate changes. This research utilized remotely sensed data and micrometeorological measurement to provide information on vegetation condition. The objective of this research is to estimate spatial NPP using remote sensing approach and plant physiological/micrometeorological modeling. The estimation of NPP is conducted using modeling approach, which is based on relationship between radiation use efficiency, photosyntetically active radiation and fraction of absorbed photosynthetically active radiation by the plants’s canopy. Trend of NDVI derived using micrometeorological measurement showed an increase from 2001 to 2002, and then decrease from 2002 to 2004. Average different values (delta) between both methods used to derive NDVI is relatively constant around 0.33 with a high correlation of r2 = 0.98. Using remotely sensed data, the highest NPP values estimated is in year 2003 with value range between 2000 – 2500 (gC m-2 yr-1), less than 2% of the whole forest area. In 2003, 75% area has NPP between 1500 – 2000 (gC m-2 yr-1), meanwhile for 2002 and 2004 it is only 21% and 50 %, respectively. NPP values estimated using micrometeorological measurement show the increasing of NPP values from 2002 to 2003, and then decrease from 2003 to 2004. There is strong correlation between NPP values derived from the two methods with r2 = 0.98.

KAJIAN PEROLEHAN KARBON SEBAGAI DAMPAK INTERVENSI KASUS: EKS-PLG BLOK A, MENTANGAI, KALIMANTAN TENGAH(CARBON RESULT STUDY AS INTERVENTION IMPACT, CASE: EKS-PLG BLOCK A, MENTANGAI, CENTRAL BORNEO) Sri Rahaju; . Istomo
Agromet Vol. 22 No. 1 (2008): June 2008
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

CCFPI is project activity on “Climate Change, Forests and Peatlands in Indonesia” funded by the “Canadian International Development Agency” (CIDA) through Climate Change and Development Fund, Canada. This project is designed to increase sustainable management of forests and peatlands in Indonesia in order to increase the capacity in carbon sequestration and also better of community incomes. One of project location in Kalimantan is area Ex-PLG Blok A, Mentangai, Central Kalimantan. This article present study on total value carbon gained as impact from various interventions in location of CCFPI project activity in area Ex-PLG Blok A, Mentangai. Method of estimation on carbon stock is conducted by Sample Plot of Measurement (PCP). Calculation of carbon stock with equation of alometrik which is present in Field Guidance to Estimate Carbon Stock on Peatland (Murdiyarso et.al., 2004). Activity of cannal blocking by CCFPI project has result to the positive impacts to the reduction rate of carbon both for above and below ground carbon as well as carbon content by tree plantation established by the community inside the areas of around 43,451 ha. Based on result of calculation, the amount of above ground carbon stock obtained 14,448 ton C. Carbon stock found in the trees plantation in surrounding the cannal 0.777 ton C. Below ground carbon stock is ranged between 550,782 ton C up to 2,223,424 ton C.

PENERAPAN IRIGASI MIKRO,TUMPANGSARI DAN MULSA UNTUK MENGANTISIPASI KEHILANGAN HASIL CABAI MERAH PADA PENANAMAN DI MUSIM KEMARAU(APPLICATION OF MICRO IRRIGATION MULTIPLECROPPING AND MULCH FOR PEPPER YIELD LOST ANTICIPATION ON DRY SEASON) Meinarti Norma S; Sodiq Jauhari
Agromet Vol. 22 No. 1 (2008): June 2008
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Precipitation indicates system and intensity planting area. For anticipation plant on dry season, farmers from mountain range use water which was saving in plastic tank at teras bangku. This study has done at Canggal, Kledung, Temanggung on dry season;18 September 2006 till 19 December 2006. Climate, agronomy and soil water content were analyzed using dailiy crop water balance (CWB-ETO).The treatment which application were : a)once irrigation every three days, b) irrigation every das, c)not use mulch and d)use mulch. Yield lost on dry season (plant date at March till September) at 100 % and 20 % is plant date at January till Februari. At Sudirjo field, yield lost at 0 % on dry season plant date. Production of pepper at Sudirjo field 0..6 kg/plnt and secundar date of tomat production is 1.6 kg/platn until 1.2 kg/plantt.Difference of yield lost between Sudirjo field and from CWB-ETO simulation needs good analysis which base for CWB-ETO program.

PENYEBARAN PENCEMAR UDARA DI KAWASAN INDUSTRI CILEGON(THE DISPERSION AIR POLUTANT AT CILEGON INSDUSTRY AREA) Yayat Ruhiat; Ahmad Bey; Imam Santosa; Leopold O. Nelwan
Agromet Vol. 22 No. 1 (2008): June 2008
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

The dispersion of the air polution, especially from the industry is much decided by the height of the stack, the higher the stack the farthest pollutant being emitted. To analyze the pollutant dispersion in the industrial area, Screen3 model US-EPA from Environmental Protection Agency, USA is used. This model is used to analyze the pollutant dispersion emiitted by factories. After implementing the model to various atmosphere stability, it is found that the fastest the wind velocity, the bigger the maximum pollutant concentration emitted and the smaller the distance dispersion. After implementing the model with the wind velocity of 2.45 m/s , it is found that the air pollution (SO2) in Pulomerak area, the maximum concentration of pollutan is 252.20 μg/m3 with the dispersion distance of 4664 m. Meanwhile, based on the measurement, with the same wind velocity at the same area, the maximum concentration of the pollutant is of 29.57 μg/m3. Within the atmosphere C to E, the two pollutants spread out at the range of 9921 m to 18800 m from the source.

PEMODELAN TANAMAN JARAK PAGAR (JATROPHA CURCAS L.) BERBASIS EFISIENSI PENGGUNAAN RADIASI SURYA,KETERSEDIAAN AIR DAN NITROGEN(CROP MODELING OF JARAK PAGAR (JATROPHA CURCAS L.) BASED ON RADIATION USE EFFICIENCY,WATER AND NITROGEN AVAILABLE) Gusti Rusmayadi; . Handoko; Yonny Koesmaryono; Didiek Hadjar Goenadi
Agromet Vol. 22 No. 1 (2008): June 2008
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

A number of crop growth simulation models have been developed using the radiation use efficiency (RUE) concept to predict crop growth and yield in various environments. These models generally calculate daily biomass production as the product of the quantity of radiation intercepted and RUE. Besides that biomass production was deterimined by water and nitrogen available factor. So, this research was carried out to quantify the RUE, biomass and leaf area index on Jatropha under rainfall condition, four levels of nitrogen fertilizer (N) and two and three population densities (P) planted twice. The experiments used a systematic Nelder fan design with 9 spokes and 4 – 5 rings were conducted at SEAMEO-BIOTROP field experiment in 2007. Data from the first experiment were used for parameterization and calibration and the second experiment data for model validation. Based on parameterization, we found that RUE can prediction above ground biomass accumulation of Jatropha were 0.94 (r=0.83) g MJ-1 to 1.3 (r=0.75) g MJ-1. Water availability was between ψ=-30 kpa and ψ=-1.5 MPa for field capacity and wilting point, respectively. Nitrogen demand of root, stem, leaf and grain N were (Ndemr=0.75), (Ndems=0.60), (Ndeml=2.53), and (Ndemg=2.41), respectively. Validation showed that model can simulate crop growth and development of Jatropha.

VARIASI SPASIAL DAN TEMPORAL HUJAN KONVEKTIF DI PULAU JAWA BERDASARKAN CITRA SATELIT(SPATIAL AND TEMPORAL VARIATION OF CONVECTIVE RAIN IN JAVA ISLAND BASED ON CITRA IMAGES) Yetti Kusumawati; Sobri Effendy; Edvin Aldrian
Agromet Vol. 22 No. 1 (2008): June 2008
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Convective rain is one of precipitation types that usually occur in Indonesia, result by convective process. This convective rain brings heavy rainfall in short period and could reach a higher intensity than common monsoon rain. Convective process may have a variation with time and location. This research have determined spatial and temporal variation of convective rain in Java island by using the black body temperature (TBB) gradient method based on the GMS-6 (MTSAT-1R) images. As a result, the seasonal convective rain generally occurred in similar period i.e. in the morning from 07.00 to 11.00 LT (local time) and in the evening from 18.00 LT until 05.00 LT. The maximum event occurred from 18.00 LT until mid night. There were different locations between the seasonal convective event. In the seasonal convective rain, there were two spatial patterns. In wet season (DJF) and transitional season from wet to dry (MAM) convective rain spread from east to west Java. While in dry season (JJA) and transitional season from dry to wet (SON), convective rain mostly occurred only in west Java.

SEBARAN DAERAH RENTAN PENYAKIT DBD MENURUT KEADAAN IKLIM MAUPUN NON IKLIM(DISTRIBUTION OF VULNERABLE REGION OF DENGUE FEVER DISEASE BASED ON CLIMATE AND NON-CLIMATE CONDITION) Rini Hidayati; Rizaldi Boer; Yonny Koesmaryono; Upik Kesumawati; Sjafrida Manuwoto
Agromet Vol. 22 No. 1 (2008): June 2008
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

This research was aimed to investigate distribution of vulnerable region of dengue fever disease based on climate condition and population density in Indonesia. Climate condition, population density and vulnerability of district level were defined in the form of ordinal variable. The Koppen classification was used to proxy the climate condition. The population density was used to categorize the district level into small, medium and big cities. Regional vulnerability level was developed by using the values of IR and the 3-year consecutive incidence. The result of analysis using the frequency of incidence clarified that the population density and climate pattern influences the vulnerable level of the district. The big cities whose climate type are of Am (annual rainfall more than 1000 mm) and dry season is not extreme are the riskiest vulnerable region. On the contrary, the small cities whose dry season is not clear have high probability to be the safest region.

WEATHER MONITORING MODEL BASED ON SATELLITE DATA(MODEL PEMANTAUAN CUACA BERDASAR PADA DATA SATELIT) Idung Risdiyanto
Agromet Vol. 22 No. 1 (2008): June 2008
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Weather monitoring model is closely related to the problem of objective analysis of the field of meteorology. The amount of meteorological data is quite substantial and hence the processing of these data is one of primary problems is dynamic meteorology. Therefore, a weather system model must consider atmospheric process, which can be built by mechanistic model rather than statistical approach. Integration of numerical model and spatial model will produce spatial weather information. It should be managed in one computerized system called as an information system for weather monitoring. The approach of the research was divided into five tasks. First task was satellite data capturing and extracting, second was development of numerical modeling based on dynamic and thermodynamic of atmospheric process, third was integration of numerical modeling and geographic information system in the spatial model, fourth was to develop graphical user interface and the fifth task was application of system in the real-world. Temporal resolution of this model is one day, however, in reality weather is temporal state of atmosphere condition that change any time. Moreover, this model only describes weather condition when data satellite on the day could be captured. Therefore, to increase the temporal resolution of this model, the input data could be added or integrated with other satellite data such as GMS satellite that has one-hour temporal resolution. Spatial resolution in this model is 50x50 kilometers square for global and 8x8 kilometers for regional area. Actually, for the spatial resolution, this model has been prepared as NOAA’s spatial resolution. This model cannot simulate vertical distribution of atmosphere, so, it does not give information about relative humidity and precipitation. If air movement in vertical area could be simulated, the dew point temperature and lighting condensation level would be known therefore the relative humidity and precipitation could be predicted.

ANALISIS PERIODE ULANG HUJAN MAKSIMUM DENGAN BERBAGAI METODE(RETURN PERIOD ANALYZE MAXIMUM RAINFALL WITH THREE METHOD) . Basuki; Iis Winarsih; Noor Laily Adhyani
Agromet Vol. 23 No. 2 (2009): December 2009
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Lush rainfall intensity in Indonesia mostly often affecting to flood disaster. Managing in flood problem must be supporting by good infrastructure of flood management such as dam, irrigation system, drainages,etc. In designing a water building, we needs maximum rainfall information with certain return period. The amount of maximum rainfall for design are different according to lifetime and reservoir capacity such as for a big dam that needs maximum rainfall information with long return period approximately 50,100 years, and for irrigation system needs shorter maximum rainfall information about 2,5,10 years. We use three methods in this analysis: E.J. Gumbel Method, Log Pearson III Method and Iway Kadoya Method. Result of analysis from above methods show that Log Pearson III method and Iway Kadoya method as identically as E.J Gumbell method.

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