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A Systematic Review of Coastal Vulnerability Assessment Studies along Andhra Pradesh, India: A Critical Evaluation of Data Gathering, Risk Levels and Mitigation Strategies

机译:对印度安得拉邦沿海脆弱性评估研究的系统评价:对数据收集,风险水平和缓解策略的重要评估

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The establishment and alteration of any coastal feature is largely dependent upon complex hydrological and geomorphologic processes. Therefore, understanding hazard factors and threat risk level is crucial for mitigating risk in coastal zones. This study examines coastal vulnerability factors and their influence along the Coastal Andhra Pradesh (CAP) region in India. CAP has been exposed to frequent hydrological and meteorological hazards due to variations in the geographical, geological, and bathymetric characteristics. Despite substantial vulnerabilities, the risk to the coastline of Andhra Pradesh has not been rigorously evaluated. The current research systematically reviews the drivers and effects of hazards and vulnerabilities in CAP. Findings indicate that urban cities have a considerably higher risk of cyclones and floods due to their locations on the Bay of Bengal tectonic plate, the topology of this coastal region, and higher population density. The study revealed that the Coastal Vulnerability Index (CVI) data along CAP is mostly gathered using low-resolution satellite data and/or field observation surveys. The study further revealed that there are very few existing mitigation strategies developed or discussed within the obtained results. However, more accurate data gathering techniques for coastal vulnerability factors are available such as Unmanned Aerial Vehicles (UAVs): Air-borne and LiDAR sensors, which provide very high resolution data and low-cost accessibility to physically inaccessible places, making them suitable for vulnerability data collection in coastal locations. These findings are useful for stakeholders seeking to reduce or ameliorate the impact of coastal disasters and their impacts on the CAP economy, environment, and population. The study further helps to reduce the existing shortcomings in the assessment techniques used previously.
机译:任何沿海特征的建立和改变在很大程度上取决于复杂的水文和地貌过程。因此,了解危险因素和威胁风险等级对于缓解沿海地区的风险至关重要。这项研究研究了印度沿岸安得拉邦(CAP)地区的沿海脆弱性因素及其影响。由于地理,地质和测深特性的变化,CAP经常遭受水文和气象方面的危害。尽管存在严重漏洞,但尚未对安得拉邦海岸线的风险进行严格评估。当前的研究系统地审查了CAP中危害和脆弱性的驱动因素和影响。研究结果表明,城市城市由于位于孟加拉湾构造板块上,该沿海地区的拓扑结构和较高的人口密度而遭受飓风和洪灾的风险较高。研究表明,CAP沿岸沿海脆弱性指数(CVI)数据大部分是使用低分辨率卫星数据和/或野外观察调查收集的。该研究进一步表明,在获得的结果中很少开发或讨论现有的缓解策略。但是,对于沿海脆弱性因素,可以使用更准确的数据收集技术,例如无人飞行器(UAV):机载和LiDAR传感器,它们提供高分辨率的数据,并且可以低成本访问身体上无法接近的地方,从而使其适合于脆弱性沿海地区的数据收集。这些发现对于寻求减少或改善沿海灾难及其对CAP经济,环境和人口的影响的利益相关者很有用。该研究还有助于减少以前使用的评估技术中的现有缺陷。

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