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  • ACRS 2000


    Oceanography

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    El niņo southern oscillation (enso) impact on sea surface temperature (sst) derived from satellite imagery and its relationship on tuna fishing ground In the south java seawaters

    Jonson Lumban Gaol, and Djisman Manurung
    Academic staff, Marine Science and Technology Department,
    Faculty of Fisheries and Marine Science, Bogor Agricultural University
    Kampus IPB Darmaga, Bogor 16680, Indonesia
    Tel: (62)-251-621211 Fax: (62)-251-622907
    E-mail:jonsonl@mailcity.com
    INDONESIA

    Keywords: ENSO, SST, Imagery, Tuna, Fishing Ground.

    Abstract :
    El Niņo Southern Oscillation (ENSO) impact on sea surface temperature (SST) derived from satellite imagery in the south Java seawaters has been investigated. The ENSO years is defined as the years that fall during El Niņo events and the standard deviation of the Southern Oscillation Index <= -1.5. Therefore, the ENSO year in this paper is 1998 and non-ENSO year is 1996. SST monthly mean for the years of 1996 and 1998 is estimated from AVHRR LAPAN (Indonesia) receiver. Monthly mean SST values during Non-ENSO years along the south Java seawaters are higher than that of the ENSO years with the average different of 1.7°C. Total big eye tuna catch in 1996 and 1998 are 30.401 fish and 42.209 fish respectively. On the other word, big eye tuna catch during ENSO year is higher than that Non-ENSO year.

    1. Introduction

    1.1. Background
    The South Java seawater is one of the important tuna fishing ground in the world. Japan Fisheries Agency has observed sea surface temperature (SST) and current by using BT and long line drift in the south of Java since 1960s (Mizuno, 1995). SST is one of important parameter on oceanographic factors that allow a forecast of fish distributions. ENSO event are changes in SST, change in vertical, thermal structure of the ocean and altered coastal and upwelling current. Generally, in Indonesian Seawaters, correlation between fish catch and ENSO consistent in the time and space domain (Pariwono, 1996).

    The Southern Oscillation is an inter-annual see-saw in tropical sea level pressure between the eastern and western hemisphere, with center action located over Indonesia and the tropical South Pacific Ocean (Philander, 1997; Quin et al., 1987). The Southern Oscillation index is the sea level pressure different between Darwin (12.4°S, 130.9°E) in northern Australia and Tahiti (17.5°S, 149.67°W) in the South Pacific Ocean with a high negative value indicate a warm event and a high positive value indicate a cold event (also referred to La Niņa). However, it is important to note that there is not a one-to-one correspondence between the occurrence of Southern Oscillation events and El Niņo events.

    The scientific community uses the term El Niņo Southern Oscillation (ENSO), combination of El Niņo (ocean component of ENSO) and Southern Oscillation (atmospheric component of ENSO), to identify cases of warm eastern and central equatorial Pacific Sea Surface Temperature (SST) anomalies (Philander, 1990; Trenberth, 1991; Quin et al. 1987; Bigg, 1986).

    ENSO events occur irregularly at intervals of 2-7 years, at an average of about 3-4 years. They typically last 12-18 months and affect weather, climate, marine ecosystems, terrestrial ecosystems, and economies worldwide (Polis, 1997). The ENSO event of 1997/1998 is recognized to be the strongest ENSO in recorded history. It is causing a very long drought in Southeast Asian Countries and in Australia with severe economic consequences. In the United States, ENSO has caused heavy rain and increasing number of typhoons and hurricanes in the eastern Pacific Ocean compared to non-ENSO years.

    Studies about ENSO's impacts on SST in Pacific Ocean have been numerous. Meanwhile, very few studies have been conducted in Indonesian Seawaters, and specifically in the south Java seawaters. The objective of this study is to investigate the impact on ENSO evidences on SST derived from satellite imagery in the Java Sea and it's surrounding and its relationship on tuna catch.

    2. Methodology
    The study sites were the fishing ground of "PT Perikanan Samudra Besar" fishing fleet in the south Java seawaters (Fig. 1). There are 10 tuna fishing vessel operated in this area every day. Tuna catch data were obtained from daily logbook for period 1996 and 1998. These data are compiled in the gird of 1° longitude and latitude and are plotted in map.

    SST data are derived from satellite imagery from the LAPAN (Indonesian Agency for Aerospace) local area coverage for 1996 and 1988 in the south Java seawaters. Twelve boxes are selected around the south Java seawaters for study areas.





    Fig. 1. Map of study area in the South Java Seawaters.


    SST for AVHRR LAPAN local area coverage is estimated using formula McMillan and Crosby: SST = TW4 + 2.702 (TW4-TW5) -0.528-273.0 oC, where TW4 and TW5 are channel-4 and channel-5 of NOAA-AVHRR.

    ENSO year herein are defined as years with standard deviation value of Southern Oscillation Index (SOI) <= -1.5 (Fig. 2). The determination for this value is based on the literature of ENSO years, which fall into above SOI range. Therefore, in this study, ENSO year is 1998 and non-ENSO year is 1996. Descriptive statistic is used to compare monthly mean SST during ENSO years versus non-ENSO years. T-test is used to test the statistical significant of monthly mean of ENSO years versus non-ENSO years.



    Fig. 2. Standard Deviation of Southern Oscillation Index for Determining ENSO Years.

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