Sea Island Research Articles

Noise‐tolerant matched filter scheme supplemented with neural dynamics algorithm for sea island extraction

AbstractAchieving high‐precision extraction of sea islands from high‐resolution satellite remote sensing images is crucial for effective resource development and sustainable management. Unfortunately, achieving such accuracy for sea island extraction presents significant challenges due to the presence of extensive background interference. A more widely applicable noise‐tolerant matched filter (NTMF) scheme is proposed for sea island extraction based on the MF scheme. The NTMF scheme effectively suppresses the background interference, leading to more accurate and robust sea island extraction. To further enhance the accuracy and robustness of the NTMF scheme, a neural dynamics algorithm is supplemented that adds an error integration feedback term to counter noise interference during internal computer operations in practical applications. Several comparative experiments were conducted on various remote sensing images of sea islands under different noisy working conditions to demonstrate the superiority of the proposed neural dynamics algorithm‐assisted NTMF scheme. These experiments confirm the advantages of using the NTMF scheme for sea island extraction with the assistance of neural dynamics algorithm.

Current status and trends in island ecosystem services research: A bibliometric analysis from 2000 to 2023

With the continuous development of the social economy, ecosystem services are very important for human production and living ecology, and human activities also affect the health of ecosystem services. However, there has yet to be a systematic review of sea island ecosystem services worldwide. This study aimed to use bibliometric analysis to provide a comprehensive review of the progress of research on island ecosystem services from 2000 to 2023 and an outlook on future research directions. This paper analyzed 730 publications that were related to island ecosystems during this period, covering 42 countries, 1252 institutions, and 3160 authors. The results showed that the country with the most research contributions in this field was the United States, which was followed by China and the United Kingdom. Among the research institutions, the cooperation among institutions was relatively single and fixed, and the Chinese Academy of Sciences had the highest number of publications and citations. Keyword clustering and emergence analysis showed that “ecosystem services”, “urban heat island”, and “climate change” were the main themes, while “InVEST model”, “ecological vulnerability model”, and “GEE (google earth engine)” were the most commonly used research techniques and tools. The results showed that the relationship between human drivers and island ecosystem services is a hot topic in current research, and nature-based solutions and the conservation of island ecosystem services may be the direction for future research. This study provides valuable insights and future research directions in the field of island ecosystem services to better define research topics and identify appropriate research partners.

Hurricane Jim Crow: How the Great Sea Island Storm of 1893 Shaped the Lowcountry South

Hurricane Jim Crow: How the Great Sea Island Storm of 1893 Shaped the Lowcountry South

An evidential perfect in Wangerooge Frisian

ABSTRACT This paper analyses the use of verbal tense forms in Wangerooge Frisian, a West Germanic language spoken on the Wadden Sea island Wangerooge until the early twentieth century. Specifically, the use of the present, past, and perfect constructions is investigated in a corpus of texts from the nineteenth century. It is argued that the Wangerooge Frisian perfect could be used as a non-firsthand evidential strategy marking the propositional content as hearsay or inferred. While such evidential perfects are cross-linguistically well attested, they are generally thought to be uncommon in Western European languages. The Wangerooge Frisian case thus shows the value of lesser-studied vernaculars for the typology of European languages.

Estimating Surface Nitrate Concentrations in the Coastal Areas of the Around Savu Sea and Southern Sumba Island Based on Remote Sensing Data

Nitrate is an essential nutrient in phytoplankton's photosynthesis process. In addition, phytoplankton uses nitrate for their growth and reproduction. Nitrate abundance on the coast will affect primary productivity and biogeochemical cycles. The availability of nitrate observation data, especially around the Savu Sea coast, is minimal. In this study, the estimation of nitrate in the coastal area of the southern part of Sumba Island and the eastern part of Savu Island by using the generalized additive model (GAM). Seventy-one nitrate observation data were used to build the GAM model, and remote sensing data were used as input data for nitrate estimation. Sea Surface Temperature (SST) and chlorophyll-a data were obtained from Aqua-MODIS. Sea Surface Salinity (SSS) and Sea Surface Windspeed (SSW) data were obtained from a Microwave Imaging Radiometer with Aperture Synthesis (MIRAS) Soil Moisture-Ocean Salinity (SMOS), and Advanced Scatterometer (ASCAT), respectively. This study uses the Generalized Additive Model (GAM) approach to predict the distribution of nitrate concentrations and determine the main driving factors associated with nitrate. Based on the result, temperature is the dominant factor in nitrate estimation, while chlorophyll-a has a relatively small influence. The best model to predict nitrate distribution uses four parameters, namely SST, SSS, SSW, and chlorophyll-a. The validation results of the expected nitrate value obtained from the model with the observed nitrate value obtained results with the same value range of 0 - 0.35; the difference is the value of the distribution. From the comparison results, the R2 value is 0.357.

Prevalence of Chinook salmon is higher for southern than for northern resident killer whales in summer hot-spot feeding areas.

Differences in the availability of prey may explain the low numbers of southern resident killer whales and the increase in northern resident killer whales in British Columbia and Washington State. However, in-situ data on the availability of their preferred prey (Chinook salmon, Oncorhynchus tshawytscha) in the core feeding areas used by these two populations of fish-eating killer whales have been lacking to test this hypothesis. We used multi-frequency echosounders (38, 70, 120, and 200 kHz) to estimate densities of adult Chinook (age-4+, > 81 cm) within 16 hot-spot feeding areas used by resident killer whales during summer 2020 in the Salish Sea and North Island Waters. We found Chinook were generally concentrated within 50 m from the bottom in the deep waters, and tended to be absent near the surface in the shallow waters (< 50 m). In general, the densities of Chinook we encountered were highest as the fish entered the Salish Sea (from Swiftsure Bank in the south) and Johnstone Strait (from Queen Charlotte Strait to the north)-and declined as fish migrated eastward along the shoreline of Vancouver Island. Median densities of Chinook for all sampled areas combined were 0.4 ind.·1000 m-2 in northern resident foraging areas, and 0.9 ind.·1000 m-2 in southern resident killer whale areas (p < 0.05, Mann-Whitney U test). Thus, Chinook salmon were twice as prevalent within the hot-spot feeding areas of southern versus northern resident killer whales. This implies that southern resident killer whales have greater access to Chinook salmon compared to northern residents during summer-and that any food shortage southern residents may be encountering is occurring at other times of year, or elsewhere in their range.

Methods to Improve the Accuracy and Robustness of Satellite-Derived Bathymetry through Processing of Optically Deep Waters

Selecting a representative optical deep-water area is crucial for accurate satellite-derived bathymetry (SDB) based on semi-theoretical and semi-empirical models. This study proposed a deep-water area selection method where potential areas were identified by integrating remote sensing imagery with existing global bathymetric data. Specifically, the effects of sun glint correction for deep-water areas on SDB estimation were investigated. The results indicated that the computed SDB had significant instabilities when different optical deep-water areas without sun glint correction were used for model training. In comparison, when sun glint correction was applied, the SDB results from different deep-water areas had greater consistency. We generated bathymetric maps for the Langhua Reef in the South China Sea and Buck Island near the U.S. Virgin Islands using Sentinel-2 multispectral images and 70% of the Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) bathymetry data. Additionally, 30% of the ICESat-2 bathymetry data and NOAA NGS Topo-bathy Lidar data served as the validation data to evaluate the qualities of the computed SDB, respectively. The results showed that the average quality of the SDB significantly improved with sun glint correction application by a magnitude of 0.60 m in terms of the root mean square error (RMSE) for two study areas. Moreover, an evaluation of the SDB data computed from different deep-water areas showed more consistent results, with RMSEs of approximately 0.4 and 1.4 m over the Langhua Reef and Buck Island, respectively. These values were consistently below 9% of the maximum depth. In addition, the effects of the optical image selection on SDB inversion were investigated, and the SDB calculated from the images over different time periods demonstrated similar results after applying sun glint correction. The results showed that this approach for optical deep-water area selection and correction could be used for improving the SDB, particularly in challenging scenarios, thereby enhancing the accuracy and robustness of SDB.

Modifications of Phase Morphology, Physical Properties, and Burning Anti-Dripping Performance of Compatibilized Poly(butylene succinate)/High-Density Polyethylene Blend by Adding Nanofillers.

A twin-screw extruder was used to fabricate poly(butylene succinate) (PBS)/high-density polyethylene (HDPE) blends (7:3 weight ratio) and blend-based nanocomposites. Carbon nanotubes (CNTs), graphene nanoplatelets (GNPs), and organoclays (15A and 30B) served as the nanofiller, while maleated HDPE (PEgMA) acted as an efficient compatibilizer for the blend. In the composites, individual nanofillers were mostly localized in HDPE domains, but some fillers were also observed at PBS-HDPE interfaces. The sea-island morphology of the compatibilized blend evolved into a pseudo-co-continuous morphology in the composites. Differential scanning calorimetry results confirmed that PEgMA with HDPE evidently accelerated the crystallization of PBS in the blend. The possible nucleation effect of added fillers on PBS crystallization was obscured by the formation of quasi-connected HDPE domains, causing fewer PBS nucleation sites. The presence of nanofillers improved the thermal stability and burning anti-dripping behavior of the parent blend. The anti-dripping efficiency of added fillers followed the sequence CNT > 15A > 30B > GNP. The rigidity of the blend was increased after the formation of nanocomposites. In particular, adding GNP resulted in 19% and 31% increases in the Young's modulus and flexural modulus, respectively. The development of a pseudo-network structure in the composites was confirmed by measurement of rheological properties. The electrical resistivity of the blend was reduced by more than six orders of magnitude at 3 phr CNT loading, demonstrating the achievement of double percolation morphology.

Waterscape in Hjari Veraldar The 'Last Habitable Edge of the Earth'

Iceland is a geologically active land and home to some of the world’s most active volcanoes and the largest glaciers in Europe. Due to its harsh environmental circumstances, its inhabitants’ living conditions are unpredictable. Icelanders live in a sort of ‘rescue mood’, ready to face a variety of natural disasters, such as avalanches, flooding, heavy storms, eruptions, landslides and earthquakes. In this northern sea island, water is the most influential element in culture, language, economy, leisure, landscape, planning strategy, and islanders’ everyday life. Water comes in all forms, both as a provider and a threat. Based on this premise, this commentary is a synthesis image of the forms of water from an outlander point of view, reading an alien landscape in which the forms of water are one of the most enchanting interpretation experiences in the landscape. This anecdote is a narration of the forms of water concerning urbanisation, land and human in different subtle layers of Icelandic culture, economy and landscape design

Problems of Mangrove Forest Deporestation with the Status of Other User Areas for the Development of Residential Areas and Pond Activities in Kotabaru Regency From A Criminal Perspective

The purpose of carrying out this journal is to find out that deforestation of mangrove forests in Kotabaru Regency carried out by the community is an environmental crime and they want to know the sanctions that can be imposed on perpetrators of mangrove forest deforestation in Kotabaru Regency which cause damage to the mangrove forest ecosystem.&#x0D; The results of this writing are that the act of deforestation of mangrove forests in Kotabaru Regency, South Kalimantan Province is caused by the local government's RTRWK inventory process being less than thorough because there are still mangrove forests that are included in residential areas and fisheries cultivation areas. Furthermore, the act of mangrove deforestation is a criminal act of environmental destruction because it pollutes and destroys the surrounding environment, destroying mangrove forests, and destroying the mangrove ecosystem.&#x0D; Normative research type, doctrinal legal research type using philosophical thinking by finding a concept, research approach, statutory approach, and conceptual approach. Prescriptive nature of research types and primary secondary and tertiary research.&#x0D; There are still mangrove forest plants based on the author's research which are located on the sea coast of Silver Street, Semayap Village, Kotabaru Regency which extends to the Semayap Village housing complex which is a residential area in the RTRWK Kotabaru Regency is located in a residential area, so the author can conclude that the regional government's inventory process in the RTRW process is not thorough enough and the need for the RTRWK to be revised again, as well as the sea coast area, city boundaries, the village of Stagen District. Kotabaru with the presence of fish and shrimp ponds included in the RTRWK for cultivation areas, the writer can conclude that the regional government inventory process in the RTRW process is not thorough enough and the RTRWK needs to be revised again so that the writer concludes that the local regional government is also responsible for the deportation carried out by residential business actors. and pond cultivation on the side of Silver Street, Semayap Village, Kotabaru Regency up to the Semayap housing complex as well as fish pond cultivation on the coast at the city limits of Stagen Village, Kec. North Sea Island District. new city. The current impact is that this location often floods when the sea water is at high tide. The act of deforestation of mangrove forests in Kotabaru Regency, South Kalimantan Province is an environmental crime. Sanctions that can be imposed on the perpetrators are Article 98 paragraph (1) of the Law of the Republic of Indonesia Number 32 of 2009 concerning Protection and Management of the Environment Article 35 Letter e of the Republic of Indonesia Law Indonesia Number 27 of 2007 concerning Management of Coastal Areas and Small Islands and article 73 letter b of Law of the Republic of Indonesia Number 27 of 2007 concerning Management of Coastal Areas and Small Islands and the regional government should be asked for criminal liability in article 112 and article 113 UUPPLH.

Thiorhodovibrio frisius and Trv. litoralis spp. nov., Two Novel Members from a Clade of Fastidious Purple Sulfur Bacteria That Exhibit Unique Red-Shifted Light-Harvesting Capabilities.

In the pursuit of cultivating anaerobic anoxygenic phototrophs with unusual absorbance spectra, a purple sulfur bacterium was isolated from the shoreline of Baltrum, a North Sea island of Germany. It was designated strain 970, due to a predominant light harvesting complex (LH) absorption maximum at 963-966 nm, which represents the furthest infrared-shift documented for such complexes containing bacteriochlorophyll a. A polyphasic approach to bacterial systematics was performed, comparing genomic, biochemical, and physiological properties. Strain 970 is related to Thiorhodovibrio winogradskyi DSM 6702T by 26.5, 81.9, and 98.0% similarity via dDDH, ANI, and 16S rRNA gene comparisons, respectively. The photosynthetic properties of strain 970 were unlike other Thiorhodovibrio spp., which contained typical LH absorbing characteristics of 800-870 nm, as well as a newly discovered absorption band at 908 nm. Strain 970 also had a different photosynthetic operon composition. Upon genomic comparisons with the original Thiorhodovibrio strains DSM 6702T and strain 06511, the latter was found to be divergent, with 25.3, 79.1, and 97.5% similarity via dDDH, ANI, and 16S rRNA gene homology to Trv. winogradskyi, respectively. Strain 06511 (=DSM 116345T) is thereby described as Thiorhodovibrio litoralis sp. nov., and the unique strain 970 (=DSM 111777T) as Thiorhodovibrio frisius sp. nov.

Ecological vulnerability assessment of coral islands and reefs in the South China Sea based on remote sensing and reanalysis data

Coral reefs are ecosystems that are highly vulnerable to external environmental impacts, including changes associated with ocean acidification and global warming. Assessing the vulnerability of coral reef growth environments over large areas of the sea is a difficult and complex process, as it is influenced by many variables. There are few studies on environmental vulnerability assessment of coral islands and reefs in the South China Sea. It is therefore particularly important to understand the environmental sensitivity of corals and how coral communities respond to changes in climate-related environmental variables. In this study, indicators were selected mainly from natural environmental factors that hinder the development of coral reefs. The sea surface temperature (SST), sea surface salinity (SSS), wind velocity (WV) and direction, sea level height (SL), ocean currents (OC), and chlorophyll concentration (Chl) of coral reefs in South China Sea Island were integrated to calculate the coral reef environmental vulnerability region. In a GIS environment, Spatial Principal Component Analysis (SPCA) was used to develop sensitivity models and evaluate the ecological vulnerability of coral reefs. Based on the Environmental vulnerability indicator (EVI) values, the study area was classified as 5 grades of ecological vulnerability: Potential (0.000–0.577), Light (0.577–0.780), Medium (0.780–0.886), Heavy (0.886–0.993) and Very Heavy (0.993–1.131). Sensitivity models identified regional gradients of environmental stress and found that some coral reefs in western Malaysia and southwestern Philippines have higher vulnerability. Meanwhile, the study found that the reefs of Paracel Islands and Macclesfield Bank areas of medium vulnerability. Future use of high-precision data from long time series will allow better estimates of site-specific vulnerability and allow for the precise establishment of marine protected areas so that the ecological diversity of coral reefs can be sustained.

Assessing genetic variation in Gossypium barbadense L. germplasm based on fibre characters

BackgroundGossypium barbadense L. has specific fibre in terms of its length, strength, and fineness, and known as extra-long staple (ELS) cotton, Sea–Island cotton, or Egyptian cotton. Narrow genetic base with less genetic variability is observed in G. barbadense germplasm. Hence, this study was aimed to evaluate the genetic variability present in 108 germplasm accessions of G. barbadense and to identify the superior genotypes based on the fibre traits.ResultsWe evaluated 108 accessions for five fibre quality traits along with three checks in augmented block design. All fibre traits showed significant differences among genotypes, indicating that there is genetic potential for improvement. Fibre strength and micronaire (MIC) showed high phenotypic and genotypic coefficients of variation. High heritability combined with high genetic advance as percentage of mean (GAM) was recorded for fibre length, strength, and micronaire. Fibre strength and fibre length were significantly correlated with each other, while both showed negative correlation with micronaire. Principal component analysis and Biplot analysis showed that uniformity index discriminated all the genotypes in higher level, while fibre length and strength were medium in discrimination power. Biplot revealed genotypes DB 16, EC959191, GSB 39, ARBB 20, 5746U, EA 203, and EA 201 were genetically diverse. Hierarchal cluster analysis based on unweighted paired group method using arithmetic average (UPGMA) grouped the genotypes into four clusters, with each cluster consisting of 4, 18, 48, and 38 genotypes, respectively.ConclusionAmong the genotypes, 34 for fibre length (> 35 mm), 18 for fibre strength (> 40.4 g·tex−1) and 66 for micronaire (3.7-4.2, A grade) were identified as potential accessions based on their superiority. The superior fibre genotypes identified in this study are potential lines for the ELS cotton breeding program.

Determination of Genetic Diversity of Some Upland and Sea Island Cotton Genotypes Using High-Resolution Capillary Electrophoresis Gel

Cotton is a major source of natural fibre for the global textile industry and is also an important oilseed crop. Cotton fibre is the main source of textiles, the seeds are used for oil and the remaining bagasse is used as high-protein animal feed. In addition, cotton’s so-called short fibre is used in more than 50 industries. Cotton breeding is generally based on crossing the best yielding and fibre quality genotypes. However, cotton breeding programmes are negatively affected by the narrow genetic diversity of varieties. It is for this reason that the identification of genetic resources and the disclosure of genetic diversity are so important. Here, the genetic diversity of G. hirsutum and G. barbadense genotypes was determined using high-resolution capillary gel electrophoresis. Using 19 EST-SSR markers, a total of 47 genotypes were screened. The PIC values of the markers used ranged from 0.268 to 0.889. The mean PIC value was calculated to be 0.603. In terms of clustering, PCoA and population structure analyses gave similar results, and the genotypes could be divided into three main groups. Genetic admixture with G. hirsutum was found in some genotypes of the G. barbadense species. We can conclude that (i) the EST-SSR markers used in this study are effective in the determination of genetic diversity, (ii) the genetic diversity should be increased through the collection of genetic resources and (iii) the genetic EST-SSR markers in this study should be considered in breeding programmes by using them in QTL studies.

A type of shape memory material based on ethylene-propylene-diene rubber (EPDM)/ polypropylene (PP) thermoplastic vulcanizates compatibilized by magnesium maleate

The effects of magnesium maleate (MgMA) and maleic anhydride (MAH) on the interfacial interaction and the shape memory properties of ethylene propylene diene monomer (EPDM) and polypropylene (PP) thermoplastic vulcanizate (TPV) with sea island structure prepared by dynamic vulcanization were investigated in this study. PP matrix could maintain the temporary shape of TPVs and the crosslinked EPDM phase supplied stress to drive the deformed shape recovery during the shape memory process. MgMA and MAH grafted on PP and EPDM chains verified by FTIR, DMA and SEM, which improved the interfacial compatibility of EPDM and PP and enhanced the efficiency of stress transfer in the shape memory process. The shape fixity ratio (Rf) and shape recovery ratio (Rr) of TPVs compatibilized by MgMA and MAH were almost above 80%. The shape memory property and the mechanical performance of TPVs were all improved compared to that of the sample without compatibilization.

Habitat use across the tidal cycle by black-headed gulls breeding in the Wadden Sea

Movements of birds foraging in intertidal areas are often strongly linked to the tidal cycle, as water levels determine where and when birds can forage. The strength of this link likely depends on the ability to forage in habitats other than intertidal areas and on constraints imposed by breeding duties. Few studies have focused on the use of intertidal areas by generalists, such as the black-headed gull Chroicocephalus ridibundus, that occupy a wide variety of habitats within and beside intertidal mudflats. We investigated to what degree black-headed gulls (1) use intertidal mudflats versus terrestrial habitats during different phases of the tidal cycle, (2) follow the tidal wave to exploit recently exposed mudflats and (3) whether these behaviours are influenced by central place foraging. For this, 11 black-headed gulls breeding on the Wadden Sea island Griend were tracked during two years using GPS loggers. When commuting to and from Griend, up to 75% of their time was spent in intertidal areas during low and incoming tide, which increased to 92% when not behaving as central place foragers. While their movements were strongly linked to the tidal cycle, they did not follow the tidal wave across the tidal basin during either period. Rather, individuals foraged either predominantly west or east of Griend during low and incoming tide and mostly remained visiting these areas when not behaving as central place foragers. As one of the most abundant species in the Wadden Sea, the extensive use of intertidal mudflats highlights the importance of black-headed gulls within the intertidal food web of the Wadden Sea.

ТАТЬЯНА ФЁДОРОВНА ЩАПОВА (1902–1954)

On 14 of March 2022 it was 120 years since the day of birth of Tatiana Fiodorovna Stschapova, outstanding algologist, doctor of biological sciences. On 7 of May 2023 there was 75 years from her including in the staff of Oceanology Institute as senior scientist. She was one of the brilliant scientific pleiad which has created world-wide reputation of our Institute. Tatiana Fiodorovna studied bottom flora and vegetation in Black, Azov, Caspian, White and Barents Seas. In 1948 she organized and headed the first expedition of IO on Far East seas. Those expeditions have continued their activity in 1950th and raised marine algology of Japan Sea and Sakhalin Island to new level of knowledge. Stschapov’s publications on bottom flora and structure of benthic communities are up to now considered to be standard of hydrobotanical investigations. Her doctor thesis has laid the foundation of marine phytogeography. The scientific direction she had created has been continued by her follower Vera Vozzhinskaya and exists nowadays in the Laboratory of coastal ecology IO. Returning to Moscow from Sakhalin expedition Tatiana Fiodorovna perished in the airplane crash – being just in the prime of her talent. The investigation of archive documents resulted in very interesting data on her family and ancestors – on the historical background of our motherland.

Eco-Friendly Blends of Recycled PET Copolymers with PLLA and Their Composites with Chopped Flax Fibres.

The structure and properties of blends of a novel polyethylene terephthalate copolymer (COPET) obtained by chemical recycling of commercial PET with high-molar-mass poly-L-lactide (PLLA) are investigated and compared to corresponding composites with chopped flax fibres. The focus is on the morphology at nano- and micro-scales, on the thermal characteristics and on the mechanical behaviour. The blends are immiscible, as evidenced by virtually unchanged glass transition temperatures of the blend components compared to the neat polymers (49 °C for COPET and 63 °C for PLLA by DSC). At low PLLA content, the blends display a sea-island morphology with sub-micron to micron droplet sizes. As the composition approaches 50/50, the morphology transitions to a coarser co-continuous elongated structure. The blends and composites show strongly improved stiffness compared to COPET above its glass transition temperature, e.g., from melt behaviour at 60 °C for COPET alone to almost 600 MPa for the 50/50 blend and 500 MPa for the 20% flax composite of the 80/20 COPET/PLLA blend. The flax fibres increase the crystallisation rate of PLLA in blends with dispersed PLLA morphology. The evidence of cavitation on the fracture surfaces of blends shows that despite the immiscibility of the components, the interfacial adhesion between the phases is excellent. This is attributed to the presence of aliphatic ester spacers in COPET. The tensile strength of the 80/20 blend is around 50 MPa with a Young's modulus of 2250 MPa. The corresponding 20% flax composite has similar tensile strength but a high Young's modulus equal to 6400 MPa, which results from the individual dispersion and strong adhesion of the flax fibres and leads close to the maximum possible reinforcement of the composite, as demonstrated by tensile tests and nano-indentation. The Ashby approach to eco-selection relying on the embodied energy (EE) further clarifies the eco-friendliness of the blends and their composites, which are even better positioned than PLLA in a stiffness versus EE chart.

Offshore wind farm layouts designer software's

Offshore wind energy can be considered one of the renewable energy sources with high force potential installed in marine areas. Consequently, the best wind farm layouts identified for constructing combined offshore renewable energy farms are crucial. To this aim, offshore wind potential analysis is essential to highlight the best offshore wind layouts for farm installation and development. Furthermore, the offshore wind farm layouts must be designed and developed based on the offshore wind accurate assessment to identify previously untapped marine regions. In this case, the wind speed distribution and correlation, wind direction, gust speed and gust direction for three sites have been analyzed, and then two offshore wind farm layout scenarios have been designed and analyzed based on two offshore wind turbine types in the Northwest Persian Gulf. In this case, offshore wind farm layouts software and tools have been reviewed as ubiquitous software tools. The results show Beacon M28 and Sea Island buoys location that the highest correlation between wind and gust speeds is between 87% and 98% in Beacon M28 and Sea Island Buoy, respectively. Considerably, the correlation between wind direction and wind speed is negligible. The Maximum likelihood algorithm, the WAsP algorithm, and the Least Squares algorithm have been used to analyze the wind energy potential in offshore buoy locations of the Northwest Persian Gulf. In addition, the wind energy generation potential has been evaluated in different case studies. For example, the Umm Al-Maradim buoy area has excellent potential for offshore wind energy generation based on the Maximum likelihood algorithm, WAsP algorithm, and Least Squares algorithm.

GbC4H regulates the metabolic flow of flavonoids and inhibits the occurrence of Fusarium wilt in sea island cotton

GbC4H regulates the metabolic flow of flavonoids and inhibits the occurrence of Fusarium wilt in sea island cotton