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VULNERABILITY ASSESSMENT OF AQUACULTURE USING GEOGRAPHIC INFORMATION SYSTEM (GIS) AND REMOTELY SENSED DATA

机译:利用地理信息系统(GIS)和遥感数据对水产养殖的脆弱性进行评估

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摘要

The Philippines is one of the top countries in fish production using aquaculture. Through the use of remotely sensed data, such as LiDAR and satellite imagery, with the aid of geographic information system (GIS) software, several methodologies have been developed in order to map aquaculture areas. Vulnerability of features is assessed by incorporating the potential impacts, which is the combination of exposure and sensitivity, and the adaptive capacity. The exposure is the severity of the physical environment conditions that drive alterations in the state of biophysical systems. The present characteristics which defines the current state of the resource from different properties that is from climate change is the sensitivity. Adaptive capacity is the ability of the system to cope up with the changes in the environment. In this study, a GIS-based methodology is implemented to assess the vulnerability of aquaculture due to climate change and anthropogenic activities. The potential impact is computed using the exposure data from a related study conducted in the country and the sensitivity layer outputs (proximity to urban areas, elevation, and type of structure) from different GIS tools. The adaptive capacity scores, which are mainly based on the adjacent habitats, are also assigned using the outputs of GIS tools and socio-economic factors. The combination of the potential impact and the adaptive capacity are used for the final computation of vulnerability scores. As a result of this study, a vulnerability assessment methodology is developed and used to create a vulnerability map of aquaculture.
机译:菲律宾是使用水产养殖进行鱼类生产的顶级国家之一。通过使用诸如LiDAR和卫星图像之类的遥感数据,借助地理信息系统(GIS)软件,已经开发了几种方法来绘制水产养殖区域图。通过合并潜在影响(包括曝光和敏感度以及自适应能力的组合)来评估功能的脆弱性。暴露是导致生物物理系统状态发生变化的物理环境条件的严重性。从气候变化的不同属性来定义资源当前状态的当前特征是敏感性。适应能力是系统应对环境变化的能力。在这项研究中,采用了一种基于GIS的方法来评估由于气候变化和人为活动而引起的水产养殖的脆弱性。潜在影响的计算使用了该国进行的相关研究的暴露数据,以及来自不同GIS工具的敏感度层输出(靠近市区,海拔高度和结构类型)。适应能力得分主要基于相邻的生境,也使用GIS工具的输出和社会经济因素进行分配。潜在影响和适应能力的组合用于脆弱性评分的最终计算。这项研究的结果是,开发了一种脆弱性评估方法,并将其用于创建水产养殖的脆弱性图。

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