Environmental Location Assessment for Seaweed Cultivation in Ghana

2019 ◽  
pp. 420-433
Author(s):  
Alexander Yao Segbefia ◽  
Victor Rex Barnes ◽  
Lawrence Atsu Akpalu ◽  
Moses Mensah
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Model Validation ◽  
Coastal Environment ◽  
Sea Surface ◽  
Physical Parameters ◽  
Strong Wind ◽  
Seaweed Cultivation ◽  
Suitable Environment

This study was designed to select potential areas for the cultivation of seaweeds on the Ghanaian coastline. The challenge of selecting suitable sites for the cultivation of seaweed along the coast was investigated, using spatial multi-criteria approach in GIS. Environmental and physical parameters based on spatial multi-criteria decision for the best sites suitable for seaweed cultivation were used. The parameters used included Sea-depth (1-10)m, (11-20)m, (21-30)m and (31-40)m, sea-surface temperature (24-26) degree Celsius, proximity to settlements (0-8) kilometers and sheltered coves (areas sheltered from strong wind and waves) as variables for the various models. The study identified twelve suitable sites along the coast of Ghana for seaweed cultivation. Five of the selected sites were ground-truthed for model validation. All five validation sites have agreed to the GIS models indicating that GIS is the most appropriate tool to use for selecting most suitable environment for seaweed cultivation especially when dealing with a complex coastal environment like Ghana's coastline.

Environmental Location Assessment for Seaweed Cultivation in Ghana

2018 ◽  
Vol 9 (1) ◽  
pp. 51-64 ◽  
Author(s):  
Alexander Yao Segbefia ◽  
Victor Rex Barnes ◽  
Lawrence Atsu Akpalu ◽  
Moses Mensah
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Model Validation ◽  
Coastal Environment ◽  
Sea Surface ◽  
Physical Parameters ◽  
Strong Wind ◽  
Seaweed Cultivation ◽  
Suitable Environment

This study was designed to select potential areas for the cultivation of seaweeds on the Ghanaian coastline. The challenge of selecting suitable sites for the cultivation of seaweed along the coast was investigated, using spatial multi-criteria approach in GIS. Environmental and physical parameters based on spatial multi-criteria decision for the best sites suitable for seaweed cultivation were used. The parameters used included Sea-depth (1-10)m, (11-20)m, (21-30)m and (31-40)m, sea-surface temperature (24-26) degree Celsius, proximity to settlements (0-8) kilometers and sheltered coves (areas sheltered from strong wind and waves) as variables for the various models. The study identified twelve suitable sites along the coast of Ghana for seaweed cultivation. Five of the selected sites were ground-truthed for model validation. All five validation sites have agreed to the GIS models indicating that GIS is the most appropriate tool to use for selecting most suitable environment for seaweed cultivation especially when dealing with a complex coastal environment like Ghana's coastline.

scholarly journals Bioecology of coral reef in Panjang Island of Central Java Indonesia

2021 ◽  
Vol 26 (2) ◽  
pp. 125-134
Author(s):  
Suryono Suryono ◽  
Ambariyanto Ambariyanto ◽  
Munasik Munasik ◽  
Diah Permata Wijayanti ◽  
Raden Ario ◽  
...  
Keyword(s):  
Coral Reef ◽  
Coral Reefs ◽  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Chlorophyll A ◽  
Coral Cover ◽  
Sea Surface ◽  
Anthropogenic Activity ◽  
Physical Parameters ◽  
Mortality Index

Coral reefs currently are suffered from natural factors along with increasing anthropogenic activity. Panjang Island, a small reef island located in Jepara Regency, may also be experiencing such conditions. Therefore, this work was aimed to observe the condition of the coral cover of Panjang Island. Line intercept transect was applied to survey the coral cover and mortality index from fourteen stations. Insitu data consisted of the bottom substrate composition of the reefs and the physical parameters of the sea. The secondary data, i.e. coral reef area maps from 2001 to 2019 were taken from Landsat Image 7 and 8, data of wind were obtained from www.ogimet.com, while tidal data were collected from BMKG. The bathymetry was determined from the Geospatial Information Agency data, salinity global analysis forecast Phy 001.024 (CMEMS). Sea surface temperature (SST), and chlorophyll-a distribution were analyzed using ENVI software. The result showed that Panjang Island has a poor to the moderate condition of hard coral.  Two out of six categories of abiotic and dead coral were found to be high. The mortality index of coral was in the high category (average 0.52). During research periods the sea waters were characterized by high sea surface temperature (29.34-30.94°C), chlorophyll-a was also tended to be high (0-2.65 mg.m-3), and an average of salinity was high 32 ‰. The weak currents came to all sides of the island, therefore the coral reef was not exposed to extreme currents. The waves came from the east, then the energy decreases after being blocked by coral reefs on the eastern side of the island, so that coral reefs in the northeast and south sides were safer to be exposed. The results suggest that hydrodynamic ecology directly or indirectly affected the percentage of coral cover and mortality index at the reefs of Panjang Island.

scholarly journals MENGENAL SUHU PERMUKAAN LAUT DARI PENGINDERAAN JAUH

OSEANA ◽  
2017 ◽  
Vol 42 (4) ◽  
pp. 40-54
Author(s):  
Marindah Yulia Iswari
Keyword(s):  
Remote Sensing ◽  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Ocean Color ◽  
Temperature Data ◽  
Sea Surface ◽  
Physical Parameters ◽  
Sensing Technology ◽  
Level 3 ◽  
Surface Temperature Data

IDENTIFYING SEA SURFACE TEMPERATURE THROUGH REMOTE SENSING. Sea surface temperature is one of the physical parameters of oceanography that is useful to determine the water quality. Sea surface temperature can be observed using remote sensing technology. Remote sensing sensors must have a thermal infrared or a passive microwave to identify sea surface temperature. NASA's Ocean Color Web has provided sea surface temperature data processed by NASA's Ocean Biology Processing Group (OBPG) team. MODIS and VIIRS are remote sensing instruments used for sea surface temperature data on NASA's Ocean Color Web. The SST data provided in the form of data level 2 and level 3 are processed in daily, weekly, monthly and even yearly.

Holocene sea surface temperature variations recorded in corals from Kikai Island, Japan

2017 ◽  
Vol 51 (4) ◽  
pp. e9-e14 ◽  
Author(s):  
Hiroto Kajita ◽  
Atsuko Yamazaki ◽  
Takaaki Watanabe ◽  
Chung-Che Wu ◽  
Chuan-Chou Shen ◽  
...  
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Sea Surface ◽  
Temperature Variations

PENENTUAN DAERAH POTENSIAL BUDIDAYA RUMPUT LAUT KAPPAPHYCUS ALVAREZII DI PROVINSI NUSA TENGGARA TIMUR

2019 ◽  
Vol 3 ◽  
pp. 929
Author(s):  
Marianus Filipe Logo ◽  
N M. R. R. Cahya Perbani ◽  
Bayu Priyono
Keyword(s):  
Dissolved Oxygen ◽  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Kappaphycus Alvarezii ◽  
Sea Surface

Provinsi Nusa Tenggara Timur (NTT) merupakan penghasil rumput laut kappaphycus alvarezii kedua terbesar di Indonesia berdasarkan data Badan Pusat Statistik (2016). Oleh karena itu diperlukan zonasi daerah potensial budidaya rumput laut kappaphycus alvarezii untuk pengembangan lebih lanjut. Penelitian ini bertujuan untuk menentukan daerah yang potensial untuk budidaya rumput laut kappaphycus alvarezii di Provinsi NTT berdasarkan parameter sea surface temperature (SST), salinitas, kedalaman, arus, dissolved oxygen (DO), nitrat, fosfat, klorofil-a, dan muara sungai. Penentuan kesesuaian lokasi budidaya dilakukan dengan memberikan bobot dan skor bagi setiap parameter untuk budidaya rumput laut kappaphycus alvarezii menggunakan sistem informasi geografis melalui overlay peta tematik setiap parameter. Dari penelitian ini diperoleh bahwa kadar nitrat, arus, kedalaman, dan lokasi muara sungai menjadi parameter penentu utama. Jarak maksimum dari bibir pantai adalah sekitar 10 km. Potensial budidaya rumput laut kappaphycus alvarezii ditemukan di Pulau Flores bagian barat, kepulauan di Kabupaten Flores Timur dan Alor, selatan Pulau Sumba, Pulau Rote, dan Teluk Kupang.

EXTREME VALUES OF SEA SURFACE TEMPERATURE ASSOCIATED WITH LONG-PERIOD PHENOMENA OCCURRED DURING 1960-2015 IN THE COLOMBIAN PACIFIC OCEAN

2017 ◽  
Author(s):  
Diaz Juan Navia ◽  
Diaz Juan Navia ◽  
Bolaños Nancy Villegas ◽  
Bolaños Nancy Villegas ◽  
Igor Malikov ◽  
...  
Keyword(s):  
Time Series ◽  
Pacific Ocean ◽  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Extreme Values ◽  
Sea Surface ◽  
Absolute Maximum ◽  
Data Set ◽  
Arctic Oscillation Index ◽  
Colombian Pacific

Sea Surface Temperature Anomalies (SSTA), in four coastal hydrographic stations of Colombian Pacific Ocean, were analyzed. The selected hydrographic stations were: Tumaco (1°48'N-78°45'W), Gorgona island (2°58'N-78°11'W), Solano Bay (6°13'N-77°24'W) and Malpelo island (4°0'N-81°36'W). SSTA time series for 1960-2015 were calculated from monthly Sea Surface Temperature obtained from International Comprehensive Ocean Atmosphere Data Set (ICOADS). SSTA time series, Oceanic Nino Index (ONI), Pacific Decadal Oscillation index (PDO), Arctic Oscillation index (AO) and sunspots number (associated to solar activity), were compared. It was found that the SSTA absolute minimum has occurred in Tumaco (-3.93°C) in March 2009, in Gorgona (-3.71°C) in October 2007, in Solano Bay (-4.23°C) in April 2014 and Malpelo (-4.21°C) in December 2005. The SSTA absolute maximum was observed in Tumaco (3.45°C) in January 2002, in Gorgona (5.01°C) in July 1978, in Solano Bay (5.27°C) in March 1998 and Malpelo (3.64°C) in July 2015. A high correlation between SST and ONI in large part of study period, followed by a good correlation with PDO, was identified. The AO and SSTA have showed an inverse relationship in some periods. Solar Cycle has showed to be a modulator of behavior of SSTA in the selected stations. It was determined that extreme values of SST are related to the analyzed large scale oscillations.

On the relation between atmospheric CO2 and equatorial sea-surface temperature

Tellus B ◽  
1987 ◽  
Vol 39 (1-2) ◽  
pp. 171-183 ◽  
Author(s):  
William P. Elliott ◽  
James K. Angell
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Sea Surface ◽  
Atmospheric Co2
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