Pub Date : 2014-12-01DOI: 10.1260/1759-3131.5.4.249
A. Kambekar, M. C. Deo
The significant wave height and average wave period form an essential input for operational activities in ocean and coastal areas. Such information is important in issuing appropriate warnings to people planning any construction or instillation works in the oceanic environment. Many countries over the world routinely collect wave and wind data through a network of wave rider buoys. The data collecting agencies transmit the resulting information online to their registered users through an internet or a web-based system. Operational wave forecasts in addition to the measured data are also made and supplied online to the users. This paper discusses operational wave forecasting in real time mode at locations where wind rather than wave data are continuously recorded. It is based on the time series modeling and incorporates an artificial intelligence technique of genetic programming. The significant wave height and average wave period values are forecasted over a period of 96 hr in future from the observations of wind speed and directions extending to a similar time scale in the past. Wind measurements made by floating buoys at eight different locations around India over a period varying from 1.5 yr to 9.0 yr were considered. The platform of Matlab and C++ was used to develop a graphical user interface that will extend an internet based user-friendly access of the forecasts to any registered user of the data dissemination authority.
{"title":"Real Time Wave Forecasting Using Wind Time History and Genetic Programming","authors":"A. Kambekar, M. C. Deo","doi":"10.1260/1759-3131.5.4.249","DOIUrl":"https://doi.org/10.1260/1759-3131.5.4.249","url":null,"abstract":"The significant wave height and average wave period form an essential input for operational activities in ocean and coastal areas. Such information is important in issuing appropriate warnings to people planning any construction or instillation works in the oceanic environment. Many countries over the world routinely collect wave and wind data through a network of wave rider buoys. The data collecting agencies transmit the resulting information online to their registered users through an internet or a web-based system. Operational wave forecasts in addition to the measured data are also made and supplied online to the users. This paper discusses operational wave forecasting in real time mode at locations where wind rather than wave data are continuously recorded. It is based on the time series modeling and incorporates an artificial intelligence technique of genetic programming. The significant wave height and average wave period values are forecasted over a period of 96 hr in future from the observations of wind speed and directions extending to a similar time scale in the past. Wind measurements made by floating buoys at eight different locations around India over a period varying from 1.5 yr to 9.0 yr were considered. The platform of Matlab and C++ was used to develop a graphical user interface that will extend an internet based user-friendly access of the forecasts to any registered user of the data dissemination authority.","PeriodicalId":105024,"journal":{"name":"The International Journal of Ocean and Climate Systems","volume":"323 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123691202","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-12-01DOI: 10.1260/1759-3131.5.4.211
S. Saravanan, N. Chandrasekar, M. Rajamanickam, C. Hentry, V. Joevivek
World wide, coastal erosion is recognized as a great threat for beach environment. Total control of coastal erosion is not feasible but it should not be ignored and needs timely management. Erosional activities have been significantly noticed along the coastal tract of Vembar and Kallar (Kallurani), South India. An attempt has been made here to delineate different zones based on their sand budget and erosion rate. Linear Imaging Self Scanning Sensor (LISS) III 2001 and Linear Imaging Self Scanning Sensor III and PAN merged data of the year 2001 have been utilized to identify the coastal geomorphological features, shoreline changes and river course changes. A Geographic Information System (GIS) software namely ArcGIS (9.1) has been used as a tool to delineate the coastal erosion hazard for proper planning and management of coastal developments. Beach profile studies have shown significant variation in the beach morphology. The study area has been categorized into five different zones in the GIS analysis based on the degree of coastal erosion and sediment dynamics namely (i) very high - Kalaignanapuram, (ii) high - Sippikulam (iii) medium - Periyasamypuram (iv) low - Vembar and Kallar (Kallurani) (v) very low - Pachayapuram.
{"title":"Management of Coastal Erosion Using Remote Sensing and GIS Techniques (SE India)","authors":"S. Saravanan, N. Chandrasekar, M. Rajamanickam, C. Hentry, V. Joevivek","doi":"10.1260/1759-3131.5.4.211","DOIUrl":"https://doi.org/10.1260/1759-3131.5.4.211","url":null,"abstract":"World wide, coastal erosion is recognized as a great threat for beach environment. Total control of coastal erosion is not feasible but it should not be ignored and needs timely management. Erosional activities have been significantly noticed along the coastal tract of Vembar and Kallar (Kallurani), South India. An attempt has been made here to delineate different zones based on their sand budget and erosion rate. Linear Imaging Self Scanning Sensor (LISS) III 2001 and Linear Imaging Self Scanning Sensor III and PAN merged data of the year 2001 have been utilized to identify the coastal geomorphological features, shoreline changes and river course changes. A Geographic Information System (GIS) software namely ArcGIS (9.1) has been used as a tool to delineate the coastal erosion hazard for proper planning and management of coastal developments. Beach profile studies have shown significant variation in the beach morphology. The study area has been categorized into five different zones in the GIS analysis based on the degree of coastal erosion and sediment dynamics namely (i) very high - Kalaignanapuram, (ii) high - Sippikulam (iii) medium - Periyasamypuram (iv) low - Vembar and Kallar (Kallurani) (v) very low - Pachayapuram.","PeriodicalId":105024,"journal":{"name":"The International Journal of Ocean and Climate Systems","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130681748","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-12-01DOI: 10.1260/1759-3131.5.4.175
O. Kisi, S. Karimi, J. Shiri, Oleg Makarynskyy, Heesung Yoon
The accuracy of three different data-driven methods, namely, Gene Expression Programming (GEP), Adaptive Neuro-Fuzzy Inference System (ANFIS) and Artificial Neural Networks (ANN), is investigated for hourly sea water level prediction at the Mukho Station in the East Sea (Sea of Japan). Current and four previous level measurements are used as input variables to predict sea water levels up to 1, 24, 48, 72, 96 and 120 hours ahead. Three statistical evaluation parameters, namely, the correlation coefficient, the root mean square error and the scatter index are used to assess how the models perform. Investigation results indicate that, when compared to measurements, for +1h prediction interval, all three models perform well (with average values of R = 0.993, RMSE = 1.3 cm and SI = 0.04), with slightly better results produced by the ANNs and ANFIS, while increasing the prediction interval degrades model performance.
研究了基因表达编程(GEP)、自适应神经模糊推理系统(ANFIS)和人工神经网络(ANN)三种数据驱动方法在东海(日本海)木湖站逐时海平面预报中的准确性。当前和以前的四个水位测量值被用作输入变量来预测未来1、24、48、72、96和120小时的海平面。使用相关系数、均方根误差和散点指数三个统计评价参数来评价模型的性能。研究结果表明，与测量值相比，在+1小时的预测区间内，3种模型均表现良好(R = 0.993, RMSE = 1.3 cm, SI = 0.04)，其中人工神经网络和人工神经系统的预测效果略好，而增加预测区间会降低模型的性能。
{"title":"Forecasting Sea Water Levels at Mukho Station, South Korea Using Soft Computing Techniques","authors":"O. Kisi, S. Karimi, J. Shiri, Oleg Makarynskyy, Heesung Yoon","doi":"10.1260/1759-3131.5.4.175","DOIUrl":"https://doi.org/10.1260/1759-3131.5.4.175","url":null,"abstract":"The accuracy of three different data-driven methods, namely, Gene Expression Programming (GEP), Adaptive Neuro-Fuzzy Inference System (ANFIS) and Artificial Neural Networks (ANN), is investigated for hourly sea water level prediction at the Mukho Station in the East Sea (Sea of Japan). Current and four previous level measurements are used as input variables to predict sea water levels up to 1, 24, 48, 72, 96 and 120 hours ahead. Three statistical evaluation parameters, namely, the correlation coefficient, the root mean square error and the scatter index are used to assess how the models perform. Investigation results indicate that, when compared to measurements, for +1h prediction interval, all three models perform well (with average values of R = 0.993, RMSE = 1.3 cm and SI = 0.04), with slightly better results produced by the ANNs and ANFIS, while increasing the prediction interval degrades model performance.","PeriodicalId":105024,"journal":{"name":"The International Journal of Ocean and Climate Systems","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125135482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-12-01DOI: 10.1260/1759-3131.5.4.199
D. S. B. Rao, R. Selvam, N. Srinivasan
Tension Based Tension Leg Platform (TBTLP) is an innovative concept wherein a Tension Leg Platform (TLP) designed for a certain depth can be extended to operate in deeper waters by mounting the surface structure (TLP) on a buoyant closed box structure, Tension Base. The motion control of Tension Base is very important for satisfactory performance of the mounted TLP. In this paper, the concepts are briefly introduced and experiments conducted on a 1:150 scaled model of the TBTLP in 3 m water depth with three different combinations of tether and mooring stiffnesses are presented. Experiments were also conducted on the same TLP (without Tension Base) in two different water depths (3 m and 1 m). Results are presented in terms of Response Amplitude Operators (RAOs) in the surge, heave and pitch degrees of freedom of TBTLP and are compared with RAOs of TLPs in 3 m and 1 m to highlight the efficacy of the new concept.
{"title":"Experimental Studies on a Scaled Model of a Tension Based Tension Leg Platform under Combined Mooring and Tether Conditions","authors":"D. S. B. Rao, R. Selvam, N. Srinivasan","doi":"10.1260/1759-3131.5.4.199","DOIUrl":"https://doi.org/10.1260/1759-3131.5.4.199","url":null,"abstract":"Tension Based Tension Leg Platform (TBTLP) is an innovative concept wherein a Tension Leg Platform (TLP) designed for a certain depth can be extended to operate in deeper waters by mounting the surface structure (TLP) on a buoyant closed box structure, Tension Base. The motion control of Tension Base is very important for satisfactory performance of the mounted TLP. In this paper, the concepts are briefly introduced and experiments conducted on a 1:150 scaled model of the TBTLP in 3 m water depth with three different combinations of tether and mooring stiffnesses are presented. Experiments were also conducted on the same TLP (without Tension Base) in two different water depths (3 m and 1 m). Results are presented in terms of Response Amplitude Operators (RAOs) in the surge, heave and pitch degrees of freedom of TBTLP and are compared with RAOs of TLPs in 3 m and 1 m to highlight the efficacy of the new concept.","PeriodicalId":105024,"journal":{"name":"The International Journal of Ocean and Climate Systems","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133838793","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-12-01DOI: 10.1260/1759-3131.5.4.237
P. Dixit, S. Londhe, Y. Dandawate
In the present work a hybrid Neuro-Wavelet Technique is used for forecasting waves up to 6 hr, 12 hr, 18 hr and 24 hr in advance using hourly measured significant wave heights at an NDBC station 41004 near the east coast of USA. The NW Technique is employed by combining two methods, Discrete Wavelet Transform and Artificial Neural Networks. The hourly data of previously measured significant wave heights spanning over 2 years from 2010 and 2011 is used to calibrate and test the models. The discrete wavelet transform of NWT analyzes frequency of signal with respect to time at different scales. It decomposes time series into low (approximate) and high (detail) frequency components. The decomposition of approximate can be carried out up to desired multiple levels in order to provide more detail and approximate components which provides relatively smooth varying amplitude series. The neural network is trained with decorrelated approximate and detail wavelet coefficients. The outputs of networks during testing are reconstructed back using inverse DWT. The results were judged by drawing the wave plots, scatter plots and other error measures. The developed models show reasonable accuracy in prediction of significant wave heights from 6 to 24 hours. To compare the results traditional ANN models were also developed at the same location using the same data and for same time interval.
{"title":"Wave Forecasting Using Neuro Wavelet Technique","authors":"P. Dixit, S. Londhe, Y. Dandawate","doi":"10.1260/1759-3131.5.4.237","DOIUrl":"https://doi.org/10.1260/1759-3131.5.4.237","url":null,"abstract":"In the present work a hybrid Neuro-Wavelet Technique is used for forecasting waves up to 6 hr, 12 hr, 18 hr and 24 hr in advance using hourly measured significant wave heights at an NDBC station 41004 near the east coast of USA. The NW Technique is employed by combining two methods, Discrete Wavelet Transform and Artificial Neural Networks. The hourly data of previously measured significant wave heights spanning over 2 years from 2010 and 2011 is used to calibrate and test the models. The discrete wavelet transform of NWT analyzes frequency of signal with respect to time at different scales. It decomposes time series into low (approximate) and high (detail) frequency components. The decomposition of approximate can be carried out up to desired multiple levels in order to provide more detail and approximate components which provides relatively smooth varying amplitude series. The neural network is trained with decorrelated approximate and detail wavelet coefficients. The outputs of networks during testing are reconstructed back using inverse DWT. The results were judged by drawing the wave plots, scatter plots and other error measures. The developed models show reasonable accuracy in prediction of significant wave heights from 6 to 24 hours. To compare the results traditional ANN models were also developed at the same location using the same data and for same time interval.","PeriodicalId":105024,"journal":{"name":"The International Journal of Ocean and Climate Systems","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126237071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-12-01DOI: 10.1260/1759-3131.5.4.189
Taimur Rashid, U. Mughal, Mohamed Y. Mustafa, M. S. Virk
Analyses of atmospheric icing events hold the key for computing the significant parameters leading to icing load calculations. In the cold regions of the high north, atmospheric icing loads on structures become important when it comes to design and safety of infrastructures. Furthermore, icing load calculations over a certain period of time provide a vital input for designers to improve the safety of structures. Patterns of icing events can be evaluated in correlation with other meteorological parameters such as atmospheric temperature, relative humidity and wind speed to better estimate icing loads. A field study has been performed in the complex terrain of northern Norway, by the atmospheric icing research team of Narvik University College, where customized meteorological atmospheric ice monitoring stations were installed to study atmospheric icing events in relation with the associated weather parameters. The meteorological parameters of three different sites in the vicinity of Narvik (68°25′14′ N17°33′36′ E) were collected, sorted, averaged to standardized timeline and further validated with recordings of weathers parameters obtained from the national weather forecasts, where a good agreement was found. Analyses were mainly performed between accreted ice loads and associated meteorological parameters. The results presented can be used as base for the development of more detailed mathematical models for the better prediction of atmospheric icing events in complex terrains.
{"title":"A Field Study of Atmospheric Icing Analysis in a Complex Terrain of the High North","authors":"Taimur Rashid, U. Mughal, Mohamed Y. Mustafa, M. S. Virk","doi":"10.1260/1759-3131.5.4.189","DOIUrl":"https://doi.org/10.1260/1759-3131.5.4.189","url":null,"abstract":"Analyses of atmospheric icing events hold the key for computing the significant parameters leading to icing load calculations. In the cold regions of the high north, atmospheric icing loads on structures become important when it comes to design and safety of infrastructures. Furthermore, icing load calculations over a certain period of time provide a vital input for designers to improve the safety of structures. Patterns of icing events can be evaluated in correlation with other meteorological parameters such as atmospheric temperature, relative humidity and wind speed to better estimate icing loads. A field study has been performed in the complex terrain of northern Norway, by the atmospheric icing research team of Narvik University College, where customized meteorological atmospheric ice monitoring stations were installed to study atmospheric icing events in relation with the associated weather parameters. The meteorological parameters of three different sites in the vicinity of Narvik (68°25′14′ N17°33′36′ E) were collected, sorted, averaged to standardized timeline and further validated with recordings of weathers parameters obtained from the national weather forecasts, where a good agreement was found. Analyses were mainly performed between accreted ice loads and associated meteorological parameters. The results presented can be used as base for the development of more detailed mathematical models for the better prediction of atmospheric icing events in complex terrains.","PeriodicalId":105024,"journal":{"name":"The International Journal of Ocean and Climate Systems","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129246243","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-12-01DOI: 10.1260/1759-3131.5.4.223
J. Vimala, G. Latha, R. Venkatesan
Short term significant wave heights have been evaluated using the numerical WAM model and the results are compared with satellite (Jason-2) and moored buoy measurements. Additionally artificial neural network (ANN) is used to predict significant wave heights over a future time step and such predictions are also compared with corresponding satellite and buoy measurements. The observations from moored buoys monitored by India's National Institute of Ocean Technology for a period of about four and a half years at three locations in the Arabian Sea and three in Bay of Bengal covering the west as well as east coast of India are involved. The buoy recorded largest waves during the cyclonic condition, and this was confirmed at a location code named: BD11 by the satellite measurements as well as the WAM and ANN based evaluations. The evaluation accuracy reflected in the coefficient of correlation is found to be high in the Arabian Sea than the Bay of Bengal.
使用数值WAM模型评估了短期有效浪高，并将结果与卫星(Jason-2)和系泊浮标测量结果进行了比较。此外，人工神经网络(ANN)用于预测未来时间步长的重要波高，并将这种预测与相应的卫星和浮标测量结果进行比较。印度国家海洋技术研究所(National Institute of Ocean Technology)在大约四年半的时间里，在阿拉伯海的三个地点和孟加拉湾的三个地点监测了系泊浮标的观测结果，覆盖了印度西海岸和东海岸。在气旋条件下，浮标记录了最大的波浪，这在一个代号为BD11的位置得到了卫星测量以及基于WAM和ANN的评估的证实。相关系数所反映的评价精度在阿拉伯海比孟加拉湾高。
{"title":"Estimation of Significant Wave Heights Using Numerical and Neural Techniques and Comparison with Buoy and Satellite Observations","authors":"J. Vimala, G. Latha, R. Venkatesan","doi":"10.1260/1759-3131.5.4.223","DOIUrl":"https://doi.org/10.1260/1759-3131.5.4.223","url":null,"abstract":"Short term significant wave heights have been evaluated using the numerical WAM model and the results are compared with satellite (Jason-2) and moored buoy measurements. Additionally artificial neural network (ANN) is used to predict significant wave heights over a future time step and such predictions are also compared with corresponding satellite and buoy measurements. The observations from moored buoys monitored by India's National Institute of Ocean Technology for a period of about four and a half years at three locations in the Arabian Sea and three in Bay of Bengal covering the west as well as east coast of India are involved. The buoy recorded largest waves during the cyclonic condition, and this was confirmed at a location code named: BD11 by the satellite measurements as well as the WAM and ANN based evaluations. The evaluation accuracy reflected in the coefficient of correlation is found to be high in the Arabian Sea than the Bay of Bengal.","PeriodicalId":105024,"journal":{"name":"The International Journal of Ocean and Climate Systems","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128362941","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-09-01DOI: 10.1260/1759-3131.5.3.117
R. Manjula, S. Sannasiraj, K. Palanichamy
Many of the coastal and offshore structures consist of slender cylindrical member as the fundamental component. Since the structural damages and failures are catastrophic under wave impact, it is essential to understand the influence of breaking wave impact on the structural members. Past literature dictates that the magnitude of impact pressures is of the order of ten times more than the non breaking wave induced pressure. The standard codal provisions for the structural design of those members under breaking wave impact are scarce. In the present study, an experimental investigation has been carried out to measure the response of the slender vertical cylinder under breaking waves. Acceleration measurements were made under the incidence of breaking waves of different intensities varying from Plunging to Spilling. Deflections are found out from the measured acceleration. The maximum acceleration observed under severe plunging event is 0.5 times that of moderate plunging event, the deflection induced by the moderate plunging is two order higher than that of severe plunging. Acceleration is maximum not only above still water level (SWL) but also lies in the impact zone. Hence moderate plunging events with higher impulse and larger pressure rise time is crucial in the design of offshore and coastal structural member under breaking wave impact load.
{"title":"Experimental Investigations of Acceleration on Slender Cylindrical Member under Breaking Waves","authors":"R. Manjula, S. Sannasiraj, K. Palanichamy","doi":"10.1260/1759-3131.5.3.117","DOIUrl":"https://doi.org/10.1260/1759-3131.5.3.117","url":null,"abstract":"Many of the coastal and offshore structures consist of slender cylindrical member as the fundamental component. Since the structural damages and failures are catastrophic under wave impact, it is essential to understand the influence of breaking wave impact on the structural members. Past literature dictates that the magnitude of impact pressures is of the order of ten times more than the non breaking wave induced pressure. The standard codal provisions for the structural design of those members under breaking wave impact are scarce. In the present study, an experimental investigation has been carried out to measure the response of the slender vertical cylinder under breaking waves. Acceleration measurements were made under the incidence of breaking waves of different intensities varying from Plunging to Spilling. Deflections are found out from the measured acceleration. The maximum acceleration observed under severe plunging event is 0.5 times that of moderate plunging event, the deflection induced by the moderate plunging is two order higher than that of severe plunging. Acceleration is maximum not only above still water level (SWL) but also lies in the impact zone. Hence moderate plunging events with higher impulse and larger pressure rise time is crucial in the design of offshore and coastal structural member under breaking wave impact load.","PeriodicalId":105024,"journal":{"name":"The International Journal of Ocean and Climate Systems","volume":"2677 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116333972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-09-01DOI: 10.1260/1759-3131.5.3.127
V. Shukla, T. Nagendra, N. Sharma
The investigation in the present study for numerical simulation of the bed load movement and dispersion of the open water disposal of dredged material compares the results of the Radio Active Tracer (RAT) experiment near New Mangalore Port with the simulation of the same using MIKE-21 software module namely HD (Hydrodynamic) and MT (Mud Transport). In the modeling technique adopted the model input parameters have been modified to uniquely capture the dispersion of the dumped sediments and the results compare well with the in-situ RAT experiments. The present outcome of the modeling exercise is limited only to the dispersion pattern of the sediments vis-à-vis RAT experiment and thus is more qualitative and needs further studies for quantitative comparison.
{"title":"Numerical Modeling Technique for Tracking of Disposed Dredged Material in Offshore Area","authors":"V. Shukla, T. Nagendra, N. Sharma","doi":"10.1260/1759-3131.5.3.127","DOIUrl":"https://doi.org/10.1260/1759-3131.5.3.127","url":null,"abstract":"The investigation in the present study for numerical simulation of the bed load movement and dispersion of the open water disposal of dredged material compares the results of the Radio Active Tracer (RAT) experiment near New Mangalore Port with the simulation of the same using MIKE-21 software module namely HD (Hydrodynamic) and MT (Mud Transport). In the modeling technique adopted the model input parameters have been modified to uniquely capture the dispersion of the dumped sediments and the results compare well with the in-situ RAT experiments. The present outcome of the modeling exercise is limited only to the dispersion pattern of the sediments vis-à-vis RAT experiment and thus is more qualitative and needs further studies for quantitative comparison.","PeriodicalId":105024,"journal":{"name":"The International Journal of Ocean and Climate Systems","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116375754","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-09-01DOI: 10.1260/1759-3131.5.3.141
M. Behera, P. Tkalich
An investigation is carried out to study the theoretical tidal stream energy resource in the Singapore Strait to support the search for renewable energy in the effort to reduce the carbon footprints in the Southeast Asia. The tidal hydrodynamics in the Singapore Strait has been simulated using a Semi-implicit Eulerian-Lagrangian Finite-Element (SELFE) model solving the 3D shallow water equations with Boussinesq approximations. Potential sites, with high tidal current (2.5 m/s) and suitable for Tidal Energy Converter (TEC) array installation to generate sustainable energy, have been identified. Further, various operational factors for installation of Tidal Energy Converters are considered before computing the theoretical power output for a typical TEC array. An approximate estimation of the possible theoretical power extraction from a TEC array shows an energy potential of up to 4.36% of the total energy demand of Singapore in 2011. Thus, the study suggests a detailed investigation of potential sites to quantify the total tidal stream energy potential in the Singapore Strait.
{"title":"Assessment of Kinetic Tidal Energy Resources Using SELFE","authors":"M. Behera, P. Tkalich","doi":"10.1260/1759-3131.5.3.141","DOIUrl":"https://doi.org/10.1260/1759-3131.5.3.141","url":null,"abstract":"An investigation is carried out to study the theoretical tidal stream energy resource in the Singapore Strait to support the search for renewable energy in the effort to reduce the carbon footprints in the Southeast Asia. The tidal hydrodynamics in the Singapore Strait has been simulated using a Semi-implicit Eulerian-Lagrangian Finite-Element (SELFE) model solving the 3D shallow water equations with Boussinesq approximations. Potential sites, with high tidal current (2.5 m/s) and suitable for Tidal Energy Converter (TEC) array installation to generate sustainable energy, have been identified. Further, various operational factors for installation of Tidal Energy Converters are considered before computing the theoretical power output for a typical TEC array. An approximate estimation of the possible theoretical power extraction from a TEC array shows an energy potential of up to 4.36% of the total energy demand of Singapore in 2011. Thus, the study suggests a detailed investigation of potential sites to quantify the total tidal stream energy potential in the Singapore Strait.","PeriodicalId":105024,"journal":{"name":"The International Journal of Ocean and Climate Systems","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128714929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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