Occurrence and spatial distribution of microplastics, and their correlation with petroleum in coastal waters of Hainan Island, China

2022 ◽  
Vol 294 ◽  
pp. 118636
Author(s):  
Liu Gao ◽  
Zezheng Wang ◽  
Xianzhi Peng ◽  
Yuanyuan Su ◽  
Pengcheng Fu ◽  
...  
2013 ◽  
Vol 864-867 ◽  
pp. 2825-2829
Author(s):  
Zhen Mu Cao ◽  
Zi Ji Liu ◽  
Deng Feng Wang

To explore the distribution of gross agricultural production (GPA) is significant to the sustainable development of tropical agricultural growth. Taking Hainan Island as the study area, the spatial distribution and influence factors of GPA were elucidated by applying the GIS spatial analysis tools and factor analysis. The results showed that the distribution of Hainan GAP was uneven. The uneven distribution of GAP in counties was mainly caused by the variation of agricultural structure. The GPA was mainly determined by SAV, NEPA, and SAG. The distribution characters of Factor 1 was similar with the distribution of GAP in study area, and some agricultural planning can be made to improve the GAP of middle Hainan area, ie, increasing the sown area of vegetables and labor force input.


2015 ◽  
Vol 35 (23) ◽  
Author(s):  
郭晓伟 GUO Xiaowei ◽  
骆土寿 LUO Tushou ◽  
李意德 LI Yide ◽  
许涵 XU Han ◽  
陈德祥 CHEN Dexiang ◽  
...  

2005 ◽  
Vol 65 (4) ◽  
pp. 661-673 ◽  
Author(s):  
A. F. Paula ◽  
J. C. Creed

The distribution and abundance of azooxanthellate coral Tubastraea Lesson, 1829 were examined at different depths and their slope preference was measured on rocky shores on Ilha Grande, Brazil. Tubastraea is an ahermatypic scleractinian nonindigenous to Brazil, which probably arrived on a ship's hull or oil platform in the late 1980's. The exotic coral was found along a great geographic range of the Canal Central of Ilha Grande, extending over a distance of 25 km. The abundance of Tubastraea was quantified by depth, using three different sampling methods: colony density, visual estimation and intercept points (100) for percentage of cover. Tubastraea showed ample tolerance to temperature and desiccation since it was found more abundantly in very shallow waters (0.1-0.5 m), despite the fact that hard substratum is available at greater depths at all the stations sampled. At most sites, 1 to 5 colonies per 0.25 m² were found most frequently, but occasionally more than 50 colonies were found per 0.25 m², indicating a somewhat gregarious spatial distribution for this coral. The coral Tubastraea was found to occupy slopes of every possible angle in the Canal Central of Ilha Grande, but more colonies were found occupying slopes of 80 to 100°. Therefore, its insensitivity to angles of recruitment and its tolerance for different depths makes it an organism with great ecological tolerance, with a potential to colonize new areas and increase its current range in Brazil's coastal waters.


2018 ◽  
Vol 23 (4) ◽  
pp. 275 ◽  
Author(s):  
Komang Iwan Suniada ◽  
Eko Susilo

Perikanan pelagis di perairan Selat Bali telah diusahakan sejak lama. Data runtut tahun hasil tangkapan yang didaratkan cenderung berfluktuasi. Kajian ini bertujuan untuk mengetahui kondisi spasial dan temporal karakteristik oseanografi, terkait dengan dengan dinamika perikanan pelagis di Selat Bali. Data parameter oseanografi meliputi suhu permukaan laut (SPL) dan klorofill-a (chl-a) yang diperoleh dari citra satelit penginderaan jauh Aqua/Terra MODIS, sedangkan data sumberdaya perikanan pelagis berupa hasil tangkapan/satuan upaya (Catch per Unit Effort, CPUE) ikan pelagis diperoleh dari Tempat Pendaratan Ikan (TPI) Pengambengan, Jembrana - Bali pada periode Januari 2007 hingga Desember 2015. Uji statistik regresi linear berganda digunakan untuk mengetahui pengaruh parameter oseanografi terhadap kondisi perubahan sumberdaya perikanan pelagis. Sebaran spasial SPL menunjukkan bahwa pada Mei hingga November suhu permukaan laut cenderung rendah serta tidak ada perbedaan yang signifikan antara suhu di perairan pantai dan di laut lepas. Secara temporal terlihat bahwa suhu terendah terjadi pada musim timur yaitu pada Agustus 2007. Sebaran spasial chl-a menunjukkan bahwa peningkatan konsentrasi chl-a dimulai dari Mei hingga Oktober serta terdapat perbedaan yang signifikan antara chl-a perairan pantai dan laut lepas. Secara temporal terlihat bahwa konsentrasi chl-a tertinggi terjadi pada Oktober 2015. Faktor iklim yang merupakan faktor eksternal memberikan pengaruh terhadap perubahan konsentrasi chl-a pada lokasi penelitian. Faktor iklim tersebut adalah kecepatan angin dan kejadian El-Nino. Hasil analisis statistik menunjukkan bahwa perubahan parameter SPL dan chl-a secara bersama-sama berpengaruh signifikan terhadap perubahan CPUE ikan pelagis, namun secara parsial parameter chl-a memberikan pengaruh yang lebih signifikan dibandingkan dengan parameter SPL.Pelagic fisheries around Bali Strait have been exploited since decades. Based on monthly and annual landing data, fish production around Bali strait are very fluctuated. This study aims to determine the spatial and temporal conditions of oceanographic characteristics and how they relate to the dynamics of pelagic fisheries in the Bali Strait. The oceanographic parameter data consist of sea surface temperature (SST) and chlorophyll-a (chl-a) that obtained from Aqua / Terra MODIS remote sensing satellite imagery, while the dynamics of pelagic fish resource data indicated by Catch per Unit Effort (CPUE) derrived from landing place (TPI) Pengambengan, Jembrana - Bali in the period January 2007 to December 2015. Multiple linear regression analysis were applied to determine the effect of oceanographic parameters on the changing conditions of pelagic fishery resources. Spatial distribution of SPL indicates that in May to November sea surface temperature tends to be low and there is no significant difference between the temperature in coastal waters and on high seas. The temporal distribution shows that the lowest temperature occurred during the southeast monsoon in August 2007. The spatial distribution of chl-a showed that the chl-a concentration starts to increase from May to October and there were significant differences between chl-a coastal waters and high seas. The temporal distribution shows that the highest chl-a concentration occurred in October 2015. Climate factor which is an external factor has an effect on the change of chl-a concentration at the research location. Climatic factors are wind speed and El-Nino events. The result of the statistical analysis shows that the change of SPL and chl-a parameters together significantly influence on the CPUE of pelagic fish, but partially chl-a parameter gives highly significant effect than SST parameter.


2013 ◽  
Vol 33 (15) ◽  
pp. 4575-4582 ◽  
Author(s):  
黄凯旋 HUANG Kaixuan ◽  
张云 ZHANG Yun ◽  
欧林坚 OU Linjian ◽  
吕颂辉 LÜ Songhui ◽  
吕淑果 LÜ Shuguo ◽  
...  
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