Indian Journal of Geo-Marine Sciences最新文献

Observation on skeletal deformity in band fish, Acanthocepola indica (Day, 1888) 棘鱼(Acanthocepola indica)的骨骼畸形观察(Day, 1888)

4区地球科学

Indian Journal of Geo-Marine Sciences Pub Date : 2023-01-01 DOI: 10.56042/ijms.v52i01.5442

引用次数: 0

Spatio-temporal changes in the Godavari mangroves: A study examining land-use change and sustainable management 哥达瓦里红树林的时空变化:土地利用变化与可持续管理研究

4区地球科学

Indian Journal of Geo-Marine Sciences Pub Date : 2023-01-01 DOI: 10.56042/ijms.v52i01.5436

引用次数: 0

First observation of Alpheus soror Bruce, 1999 (Caridea: Alpheidae) from Gulf of Mannar, Southern India with notes on A. lottini Guérin, 1830 [in Guérin, 1829-1830] 1999年在印度南部马纳尔湾首次观测到Alpheus soror Bruce (Caridea: Alpheus科)，附注A. lottini gusamrin, 1830 [in gusamrin, 1829-1830]

4区地球科学

Indian Journal of Geo-Marine Sciences Pub Date : 2023-01-01 DOI: 10.56042/ijms.v52i01.5441

引用次数: 0

Diet composition and feeding habits of flat needlefish Ablennes hians (Valenciennes, 1846) (Beloniformes: Belonidae) in the Southeastern Arabian Sea 阿拉伯海东南部Ablennes hians (Valenciennes, 1846)扁平针鱼的饮食组成和摄食习性(针鱼目:针鱼科)

4区地球科学

Indian Journal of Geo-Marine Sciences Pub Date : 2023-01-01 DOI: 10.56042/ijms.v52i01.5440

{"title":"Diet composition and feeding habits of flat needlefish Ablennes hians (Valenciennes, 1846) (Beloniformes: Belonidae) in the Southeastern Arabian Sea","authors":"","doi":"10.56042/ijms.v52i01.5440","DOIUrl":"https://doi.org/10.56042/ijms.v52i01.5440","url":null,"abstract":"The study describes the feeding habits, diet composition and prey diversity of Ablennes hians based on 396 specimens collected between October 2015 and September 2017 from Kerala, south-west coast of India. The Index of Relative Importance (IRI) showed that teleosts were the most preferred food items (%IRI = 65.43 %) followed by molluscs (%IRI = 32.91) and crustaceans (%IRI = 1.66). Prey biodiversity analyses indicated no significant variation in the prey items between the sexes and immature (juvenile) and mature (adult) specimens. Similarly, a non-significant difference in Vacuity Index (VI) and Fullness Index (FI) was observed between the sexes (p > 0.05), juveniles, and adults (p > 0.05). Mean number of prey items per stomach (Nm/ST) was found to be higher in females and juveniles than males and adults; whereas the mean weight of prey items per stomach (Wm/ST) was higher in females and adults. Analysis of similarities (ANOSIM) test also indicated that there was no significant difference in prey types and preferences between sexes (global R = -0.25, P > 0.05) and juveniles and adults (global R = 0.5, P > 0.05). Diet analysis revealed that the species is a carnivorous and active pelagic predator, predominately consuming teleost fishes and an opportunistic feeder and might perform vertical migrations in search of food. The present study provides a first reference on the detailed information on feeding biology of the flat needlefish, which can be used as a baseline information for future studies in the region.","PeriodicalId":51062,"journal":{"name":"Indian Journal of Geo-Marine Sciences","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135711402","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Application of CNN based image classification technique for oil spill detection 基于CNN的图像分类技术在溢油检测中的应用

4区地球科学

Indian Journal of Geo-Marine Sciences Pub Date : 2023-01-01 DOI: 10.56042/ijms.v52i01.5438

{"title":"Application of CNN based image classification technique for oil spill detection","authors":"","doi":"10.56042/ijms.v52i01.5438","DOIUrl":"https://doi.org/10.56042/ijms.v52i01.5438","url":null,"abstract":"Marine water pollution due to oil spills is a common threat to the environment worldwide because of its harmful impact on the economy and environment. Remote Sensing (RS) and Geographic Information Systems (GIS) are well-known tools for collecting satellite data which helps in remote oil spill identification. Synthetic Aperture Radar (SAR) images through various satellite missions are the mainly used data to identify oil spills. Many Artificial Neural Networks (ANN) and Machine Learning (ML) models integrated with RS and GIS have been originated and applied to identify and monitor oil spills. Deep Learning (DL) methods have recently become popular for their outstanding performance in research for image classification challenges, and the same is being used in the present study. An oil spill detection model using the Convolutional Neural Network (CNN) algorithm is presented in this work. CNN can extract features from a large dataset, and these features can be used to categorize images into different classes. The proposed model was compared with other existing models. The accuracy, precision, and recall achieved by this study are 99.06 %, 98.15 %, and 100 %, respectively. The proposed model outperformed the other existing work with an accuracy of 99.06 % and a precision of 98.15 %.","PeriodicalId":51062,"journal":{"name":"Indian Journal of Geo-Marine Sciences","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135711612","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Evaluation and performance of satellite-derived bathymetry algorithms in turbid coastal water: a case study of Vengurla rocks 浑浊沿海水域卫星水深测量算法的评价与性能:以文古拉岩石为例

IF 0.5 4区地球科学

Indian Journal of Geo-Marine Sciences Pub Date : 2022-11-01 DOI: 10.56042/ijms.v51i04.55924

Mohammad Ashphaq, P. K. Srivastava, D. Mitra

{"title":"Evaluation and performance of satellite-derived bathymetry algorithms in turbid coastal water: a case study of Vengurla rocks","authors":"Mohammad Ashphaq, P. K. Srivastava, D. Mitra","doi":"10.56042/ijms.v51i04.55924","DOIUrl":"https://doi.org/10.56042/ijms.v51i04.55924","url":null,"abstract":"The coastal region bathymetry is increasingly becoming necessary for emerging needs of navigation and development along coasts. Satellite-Derived Bathymetry (SDB) has been examined as a viable alternative for hydrographic surveys for the past few decades to reduce the data acquisition efforts in coastal regions and augmentation of periodic updating of Electronic Navigational Charts (ENCs). The previous studies have applied SDB algorithms in less complex waters due to the limitations of SDB algorithms in turbid and varying shallow waters. This paper analyses three different medium-resolution satellite imagery data to derive bathymetry in a navigably very complex and highly turbid region, Vengurla rocks, situated on the west coast of India. The objective of the study was to evaluate the best suitable technique for SDB in turbid water. The bathymetry product images have been derived using the two most commonly utilized log ratio, and linear ratio transformation; three semi-automated methods, Principal Component Analysis (PCA), Independent Component Analysis (ICA), and ratio transform; and Machine Learning (ML) regression algorithms. Among the applied transform and algorithms, the ML algorithm using 561 nm band data performed the best, resulting in R 2 of 0.77, RMSE of 3.4 m, and MAE of 2.8 m. This work established that open source images of sensor OLI/Landsat-8 satellite provide the best results of SDB estimation in complex turbid water by applying ML algorithms. However, extreme turbid and complex regions resulted in more erroneous SDB estimation specifying the need for refining algorithms using bio-optical parameters.","PeriodicalId":51062,"journal":{"name":"Indian Journal of Geo-Marine Sciences","volume":"3 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78461894","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

A biochemical study on the growth traits of Vigna radiata (Green gram) influenced by Gunapaselam (Fermented Fish waste) - An approach to marine waste management 发酵鱼粪对Vigna radiata (Green gram)生长特性的生化研究-海洋废物管理的一种方法

IF 0.5 4区地球科学

Indian Journal of Geo-Marine Sciences Pub Date : 2022-05-01 DOI: 10.56042/ijms.v51i05.65567

Thendral Hepsibha, A. Geethab

{"title":"A biochemical study on the growth traits of Vigna radiata (Green gram) influenced by Gunapaselam (Fermented Fish waste) - An approach to marine waste management","authors":"Thendral Hepsibha, A. Geethab","doi":"10.56042/ijms.v51i05.65567","DOIUrl":"https://doi.org/10.56042/ijms.v51i05.65567","url":null,"abstract":"Effective methods are necessary to utilize the discarded waste from the fishery industry. The sustainable agriculture emphasizes the importance of recycling organic wastes to minimize the damages caused by mineral fertilizers and the sky-rocketing price of chemical fertilizers. A study was conducted to assess the fertilizing potential of fermented fish waste Gunapaselam (GP) on the growth traits of mung bean ( Vigna radiata ). The study groups include Group I (water treatment/ without fertilizer), Group II (chemical fertilizer – NPKS (1:2:1:0.8)) and Group III (GP - 1:100 fold diluted). The performance of the crop was adjudged in terms of growth traits like germination percentage, trifoliate emergence rate, leaf area, number of branches and leaves, number of lateral roots, flowering time and developmental stages of nodules. Except for germination percentage, all the growth traits were significantly improved by GP treatment. GP improved the growth of green gram probably by providing the essential nutrients and enhancing their availability and effective absorption than the chemical fertilizers. The study also revealed that GP influences the beneficial soil microbes and makes the rhizosphere suitable to facilitate nodule formation. It can be concluded from the findings that GP has a pronounced effect on growth traits of Vigna radiata and it can replace chemical fertilizers in the future.","PeriodicalId":51062,"journal":{"name":"Indian Journal of Geo-Marine Sciences","volume":"27 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73723830","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Synthesis, characterization, biological and catalytic activity of carboxymethyl chitosan schiff base metal complexes 羧甲基壳聚糖席夫碱金属配合物的合成、表征、生物活性和催化活性

IF 0.5 4区地球科学

Indian Journal of Geo-Marine Sciences Pub Date : 2022-05-01 DOI: 10.56042/ijms.v51i05.65576

引用次数: 0

Analysis of bioactive compounds from Gracilaria foliifera based on lunar phases 基于月相的江蓠生物活性成分分析

IF 0.5 4区地球科学

Indian Journal of Geo-Marine Sciences Pub Date : 2022-05-01 DOI: 10.56042/ijms.v51i05.65569

P. Prakash, S. Krishna, S. Sunkar, O. R. Paramasivam, K. Rajakumari

引用次数: 1

Production of biodiesel from marine green seaweed using a renewable low-cost heterogeneous catalyst 使用可再生低成本多相催化剂从海洋绿海藻中生产生物柴油

IF 0.5 4区地球科学

Indian Journal of Geo-Marine Sciences Pub Date : 2022-05-01 DOI: 10.56042/ijms.v51i05.65561

H. Kumar, A. Renita, A. Anderson

{"title":"Production of biodiesel from marine green seaweed using a renewable low-cost heterogeneous catalyst","authors":"H. Kumar, A. Renita, A. Anderson","doi":"10.56042/ijms.v51i05.65561","DOIUrl":"https://doi.org/10.56042/ijms.v51i05.65561","url":null,"abstract":"In this study, the biodiesel produced from Ulva lactuca , a marine green seaweed by solid oxide catalyst derived from low-cost waste eggshells is evaluated. Waste eggshells were calcined at 500 °C, 600 °C and 700 °C to increase catalytic activity which was characterized by X-ray diffraction pattern. The peaks of CaO were obtained by calcinations carried out at 700 °C for varied time periods. Comparison of images of scanning electron microscope of calcined eggshells with natural eggshells showed the formation of porous structure with an average pore diameter of 39.17 nm. Biodiesel was prepared by transesterification of algal oil by uncalcined eggshells, calcined eggshells and commercial calcium oxide with methanol. The yield of biodiesel was higher for calcined eggshells (78 %) than uncalcined eggshells (53 %). The produced biodiesel was sampled and analyzed for Gas chromatography – mass spectrometry, which confirmed the presence of predominant alkyl esters like hexadecenoic acid methyl ester, docosanoic methyl ester, palmitic acid methyl ester and oleic acid methyl ester. The heterogeneous catalyst can be reused upto seven times without any prescribed loss of catalyst activity. The Introduction of this eco-friendly catalyst in the transesterification reaction of biodiesel from Ulva lactuca will be cost-reduction for the production of an alternative","PeriodicalId":51062,"journal":{"name":"Indian Journal of Geo-Marine Sciences","volume":"28 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91187510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0