Identification of shrimp potential fishing zones in the northern part of the Persian Gulf using the Fuzzy Overlay model for integrating satellite and ground-based data

被引:0
|
作者
Aeinjamshid, K. [1 ]
Fazelpoor, K. [2 ]
Rabbaniha, M. [3 ]
Moradi, G. [1 ]
机构
[1] Agr Res Educ & Extens Org AREEO, Shrimp Res Ctr, IFSRI, Bushehr, Iran
[2] Univ Politecn Madrid, Dept Sistemasy Recursos Nat, ETSI Montes, Forestalesy Medio Nat, Madrid, Spain
[3] Agr Res Educ & Extens Org AREEO, Iranian Fisheries Sci Res Inst IFSRI, Tehran, Iran
来源
IRANIAN JOURNAL OF FISHERIES SCIENCES | 2023年 / 22卷 / 04期
基金
美国国家科学基金会;
关键词
Potential fishing zone; Shrimp; Fuzzy overlay; Remote sensing; Persian Gulf;
D O I
10.22092/ijfs.2023.130053
中图分类号
S9 [水产、渔业];
学科分类号
0908 ;
摘要
This study aimed to identify the potential fishing zone (PFZ) for shrimp in Bushehr province waters, located in the south of Iran using remote sensing data. The Sea surface temperature (SST) and chlorophyll-a (Chl-a) data were extracted from the +ETM Landsat 7 sensor and MODIS Aqua (EOS PM) satellite images from the summer of 2002 to the summer of 2017. The land-based physicochemical parameters were recorded using a CTD (Conductivity, Temperature, Depth) device in 27 stations in the geographical positions from E 50 degrees 44<acute accent> and N 28 degrees 59<acute accent> to E 51 degrees 40<acute accent> and N 27 degrees 33<acute accent>, in June and July 2017. The shrimp catch per unit effort (CPUE) was calculated from the results of Shrimp stock assessment projects performed in Bushehr province waters by Iran Shrimp Research Center. The highest values of SST-Chl-CPUE fuzzy overlay were obtained at stations 24, 22, 4, 16, 21, 19, 27, 26, 25 and 10. The highest amount of shrimp CPUE was recorded in the areas where the SST was lower and the chlorophyll-a was higher. The results showed a strong and positive relationship between the amounts of long-term shrimp CPUE and fuzzy overlay of SST-Chl-a in the studied area (p<0.05). Based on the results, the potential zones for shrimp capture in Bushehr province waters were Nakhiloo, Mond River, Ra's-e-Khan, Motaf, Heleyleh, and Rostami, which located in the southern and northern parts of the studied area. Results of the validation study showed that 63% of the captured shrimp by commercial vessels were in the introduced PFZ.
引用
收藏
页码:907 / 924
页数:18
相关论文
共 13 条
  • [2] Comparing Photovoltaic Power Prediction: Ground-Based Measurements vs. Satellite Data Using an ANN Model
    Hajjaj, Charaf
    El Ydrissi, Massaab
    Azouzoute, Alae
    Oufadel, Ayoub
    El Alani, Omaima
    Boujoudar, Mohamed
    Abraim, Mounir
    Ghennioui, Abdellatif
    [J]. IEEE JOURNAL OF PHOTOVOLTAICS, 2023, 13 (06): : 998 - 1006
  • [3] Air quality simulation with WRF-Chem over southeastern Brazil, part I: Model description and evaluation using ground-based and satellite data
    Benavente, Noelia Rojas
    Vara-Vela, Angel Liduvino
    Nascimento, Janaina P.
    Acuna, Joel Rojas
    Damascena, Aline Santos
    Andrade, Maria de Fatima
    Yamasoe, Marcia Akemi
    [J]. URBAN CLIMATE, 2023, 52
  • [4] Estimating crop yields and production by integrating the FAO Crop specific Water Balance model with real-time satellite data and ground-based ancillary data
    Reynolds, CA
    Yitayew, M
    Slack, DC
    Hutchinson, CF
    Huete, A
    Petersen, MS
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2000, 21 (18) : 3487 - 3508
  • [5] Evaluation of the potential of MODIS satellite data to predict vegetation phenology in different biomes: An investigation using ground-based NDVI measurements
    Hmimina, G.
    Dufrene, E.
    Pontailler, J. -Y
    Delpierre, N.
    Aubinet, M.
    Caquet, B.
    de Grandcourt, A.
    Burban, B.
    Flechard, C.
    Granier, A.
    Gross, P.
    Heinesch, B.
    Longdoz, B.
    Moureaux, C.
    Ourcival, J. -M.
    Rambal, S.
    Saint Andre, L.
    Soudani, K.
    [J]. REMOTE SENSING OF ENVIRONMENT, 2013, 132 : 145 - 158
  • [6] Validation of chemistry transport model of the lower atmosphere in the central European region of Russia using ground-based and satellite measurement data
    Konovalov, I. B.
    Elanskii, N. F.
    Zvyagintsev, A. M.
    Belikov, I. B.
    Beekmann, M.
    [J]. RUSSIAN METEOROLOGY AND HYDROLOGY, 2009, 34 (04) : 236 - 242
  • [7] Validation of chemistry transport model of the lower atmosphere in the central European region of Russia using ground-based and satellite measurement data
    I. B. Konovalov
    N. F. Elanskii
    A. M. Zvyagintsev
    I. B. Belikov
    M. Beekmann
    [J]. Russian Meteorology and Hydrology, 2009, 34 : 236 - 242
  • [8] Implementation of a Two-Source Model for Estimating the Spatial Variability of Olive Evapotranspiration Using Satellite Images and Ground-Based Climate Data
    Fuentes-Penailillo, Fernando
    Ortega-Farias, Samuel
    Acevedo-Opazo, Cesar
    Fonseca-Luengo, David
    [J]. WATER, 2018, 10 (03)
  • [9] An investigation on the consequential features of Southwest Monsoon-2007 Onset and Super cyclone 'Gonu' using Satellite, Model and Ground-based data
    Harikumar, R.
    Varikoden, Hamza
    Babu, C. A.
    Vishnu, R.
    Kumar, G. Mohan
    [J]. JOURNAL OF INDIAN GEOPHYSICAL UNION, 2014, 18 (03): : 319 - 329
  • [10] Investigating Hector Convective Development and Microphysical Structure Using High-Resolution Model Simulations, Ground-Based Radar Data, and TRMM Satellite Data
    Gentile, Sabrina
    Ferretti, Rossella
    Marzano, Frank Silvio
    [J]. JOURNAL OF THE ATMOSPHERIC SCIENCES, 2014, 71 (04) : 1353 - 1370