Temat: Fishing ground - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: The Determination of Shortfin Scad (Decapterus sp.) Potential Fishing Area with Chlorophyll-a Distribution in Pekalongan Sea, Central Java, Indonesia
Autorzy:: Wicaksono, Viga Ananda
Hasan, Zahidah
Gumilar, Iwang
Dewanti, Lantun P.
Powiązania:: https://bibliotekanauki.pl/articles/1075694.pdf
Data publikacji:: 2019
Wydawca:: Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
Tematy:: Chlorophyll-a
Fishing ground
Pekalongan
Shortfin Scad
Opis:: The fishing ground can be determined by detecting oceanography parameters in seawater area. One of the oceanographic parameters that can be used is chlorophyll-a. This research aims to analyze the relationship between chlorophyll-a and total catch of shortfin scad along with potential map areas for fishing shortfin scad (Decapterus sp.) in Pekalongan seawater. The research was conducted in two stages, which are field data collection in January and downloading and processing satellite image data in February. This research used the survey method with spatial analysis. Primary spatial data used is the distribution of chlorophyll-a and data of shortfin scad fishing production. The study shows an average concentration of chlorophyll-a from 2013-2017 in Pekalongan seawater ranges around 0,16 - 1,55 mg/m3. The result of linear regression test shows that chlorophyll-a has a role as one of the factors that influence the total catch of shortfin scad in Pekalongan seawater, East Java by 23%. Other factors influence the remaining 77%. Based on the assessment of fishing ground, there are 25 potential coordinate points of shortfin scad fishing area in Pekalongan seawater that can be categorized as a potential fishing ground.
Źródło:: World Scientific News; 2019, 119; 111-124
2392-2192
Pojawia się w:: World Scientific News
Dostawca treści:: Biblioteka Nauki

Artykuł

Zmień widok

na półce

Skocz do pozycji: 2.

Tytuł:: Yellowfin tuna (Thunnusalbacares) fishing ground forecasting model based on bayes classifier in the South China Sea
Autorzy:: Zhou, W.
Li, A.
Ji, S.
Qiu, Y.
Powiązania:: https://bibliotekanauki.pl/articles/258994.pdf
Data publikacji:: 2017
Wydawca:: Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:: Bayes classifier
South China Sea
yellowfin tuna
fishing ground forecasting
Opis:: Using the yellowfin tuna (Thunnusalbacares,YFT)longline fishing catch data in the open South China Sea (SCS) provided by WCPFC, the optimum interpolation sea surface temperature (OISST) from CPC/NOAA and multi-satellites altimetric monthly averaged product sea surface height (SSH) released by CNES, eight alternative options based on Bayes classifier were made in this paper according to different strategies on the choice of environment factors and the levels of fishing zones to classify the YFT fishing ground in the open SCS. The classification results were compared with the actual ones for validation and analyzed to know how different plans impact on classification results and precision. The results of validation showed that the precision of the eight options were 71.4%, 75%, 70.8%, 74.4%, 66.7%, 68.5%, 57.7% and 63.7% in sequence, the first to sixth among them above 65% would meet the practical application needs basically. The alternatives which use SST and SSH simultaneously as the environmental factors have higher precision than which only use single SST environmental factor, and the consideration of adding SSH can improve the model precision to a certain extent. The options which use CPUE’s mean ± standard deviation as threshold have higher precision than which use CPUE’s 33.3%-quantile and 66.7%-quantile as the threshold
Źródło:: Polish Maritime Research; 2017, S 2; 140-146
1233-2585
Pojawia się w:: Polish Maritime Research
Dostawca treści:: Biblioteka Nauki