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GEOSENSING SYSTEMS ENGINEERING FOR OCEAN SECURITY AND SUSTAINABLE coastal zone management

Journal of Systems Science and Systems Engineering 2010年第1期19卷 22-35页

作者： Hamid ASSILZADEH Jason K. LEVY Xin WANG Yang GAO Zhinong ZHONG Department of Geomaties Engineering University of Calgary Calgary Alberta Canada L. Douglas Wilder School of Government and Public Affairs Virginia Commonwealth University Department of Geomatics Engineering University of Calgary Calgary Alberta Canada School of Electronic Science and Engineering National University of Defense Technology Changsha China

Three major threats to ocean security and coastal zone sustainability - global warming, the loss of ocean biodiversity, and pollution - are combining to threaten the ecological integrity of our marine environment and life support systems. We put forward a geomatics-based systems engineering architecture to identify the location and extent of oil spills, thereby improving the ecological integrity of the world＇s oceans and helping contingency planners to determine required assets, personnel and other resources. This real-time, event-based and cost effective emergency management decision support system can aid in the classification, detection, and monitoring of oil spills in the marine environment. The developed Synthetic-Aperture Radar （SAR） processing and calibration techniques efficiently monitor environmental changes in inaccessible ocean regions, characterize oil spill scenarios, and help to identify spill sources. The system is used to improve emergency management in the Gulf of Mexico, with application to oil spills arising from Hurricane Katrina.

关键词： Ocean security geosensing systems engineering coastal zone management SAR

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Near shore waves,long-shore currents and sediment transport along micro-tidal beaches,central west coast of India

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International Journal of Sediment Research 2014年第3期29卷 402-413页

作者： Sajiv Philip CHEMPALAYIL V.Sanil KUMAR G.Udhaba DORA Glejin JOHNSON CSIR-National Institute of Oceanagraphy Dona PaulaGoaIndia

Coastlines are undergoing constant geomorphologic changes with respect to the incident wave *** on waves measured at 9 m water depth,simulation of near shore wave transformation is done using REFDIF-1numerical model and the near shore breaker parameters are estimated at two micro-tidal beaches along central west coast of *** results are validated with measured *** the breaker parameters,long-shore current and long-shore sediment transport rates(LSTR) are computed by using semi-empirical *** long-shore current and LSTR are showing dramatic variations with respect to *** direction of LSTR is observed towards north since the approach waves are from south-west direction during pre-monsoon and post *** monsoon season,waves are from west south-west and resulted in southerly *** estimated annual net and gross LSTR by Cambridge Environmental Research Consultants(CERC) at two locations are in the same order whereas LSTR estimated by Walton & Bruno and Kamphuis equations are showing different estimations because of difference in surf-zone width and foreshore slope between the two *** micro-tidal beaches with length less than 6 km,Kamphuis equation is giving agreeable estimation of *** analysis of LSTR estimate shows that coastal inclination is the prominent factor in determining LSTR than incident wave angle.

关键词： Near-shore sedimentation Littoral zone Wave refraction Wave measurement coastal zone management Karnataka coast

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A Shoreline Change Analysis Along the Coast Between Kanyakumari and Tuticorin, India, Using Digital Shoreline Analysis System

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Geo-Spatial Information Science 2011年第4期14卷 282-293页

作者： SHEIK Mujabar CHANDRASEKAR National College of Engineering Anna University of Technology Centre for Geotechnology Manonmaniam Sundaranar University

The shoreline is one of the rapidly changing landforms in coastal areas. They are the key element in coastal GIS and provide the most information on coastal land form dynamics. Therefore, accurate detection and frequent monitoring of shorelines is very essential to understand the coastal processes and dynamics of various coastal features. The present study is to investigate the shoreline changes along the coast between Kanyakumari and Tuticorin of south India （where hydrodynamic and morphologic changes occur continuously after the December 2004 tsunami） by using Digital Shoreline Analysis System （DSAS）, an extension of ArcGIS. Multidate 1RS and Landsat Satellite data （1999, 2001, 2003, 2005, 2007, and 2009） are used to extract the shorelines. The data is processed by using the ERDAS IMAGINE 9.1 software and analyzed by ArcGIS 9.2 workstation. The rates of shoreline changes are estimated by three statistical methods, namely, End Point Rate （EPR）, Linear Regression Rate （LRR）, and Least Median of Squares （LMS） by using DSAS. The study reveals that most of the study area has undergoing erosion. Both natural and anthropogenic processes along the coast modify the shoreline configuration and control the erosion and accretion of the coastal zones. The coastal zones along the estuary have experienced accretion due to the littoral processes. The zones with headlands have more eroded than other zones along the study area. The study also shows that the coastal zones where sand is mined have relatively more rate of erosion than that of the other zones. Improper and unsustainable sand mining may also lead to severe erosion problem along this area. The shoreline change rates are altered by various geological processes along the coast. Thus, the present study implies that proper beach filling and nourishment projects should be made in the study area to save from hazards. It also indicates the advantage and suitability of DSAS to assess the shoreline changes compared with the tradi

关键词： coastal zone management erosion accretion hazards beach nourishment

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