基于GIS和遥感的土地利用对洪水风险的影响

I. Akar, Kaan Kalkan, D. Maktav, Yasemin Ozdemir
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引用次数: 6

摘要

人类的各种活动是自然灾害的主要影响因素之一。不适合土地利用潜力的人为影响会造成物质和精神上的损害。位于土耳其伊斯坦布尔郊区Beykoz边界内的yeniiftlik河流域被选为研究区域。它覆盖了在Beykoz地区边界内的yenialiftlik河的3.66平方公里的面积。如今,洪水研究的方法有很多。卫星新技术和地理信息系统的改进为自然灾害研究提供了重要的优势。本研究利用GIS和遥感技术,确定了土地利用特征对洪水发生的影响。基于像素的分类方法已被用于土地利用特征分析。IKONOS的泛锐化卫星图像已用于当前的土地利用。洪水分析过程采用HEC-GeoRAS (ArcGIS 9.3)和HEC-RAS 4.0(水文工程中心河流分析系统)水力软件进行。在本研究中,几何数据构成了模型的基础。这些数据包括河流、河岸、河道、断面和土地使用情况。研究区域的几何数据是用HEC-GeoRAS生成的,所有其他数据在转移到HEC-RAS之前都在这里收集。几何数据流输入后,输入与将要建模的盆地相关的数据。洪水风险研究的水力和水文建模,利用30年最大洪水流量计算10年、50年和100年的洪水流量,并根据所得数据进行水力建模,绘制洪水风险图。
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Determination of land use effects on flood risk by using integration of GIS and remote sensing
The various human activities are one of the main affecting factors on natural disasters. Human effects not suitable for land use potential can cause both physical and moral damages. Yeniçiftlik stream basin, located within the boundaries of Beykoz, a suburb of Istanbul in Turkey, has been selected as the study area. It covers an area of 3.66 km2 of the Yeniçiftlik River within the boundaries of the Beykoz district. Nowadays, there are many methods for flood researches. Not only new satellite technologies but also improvements of GIS provide important advantages in the researches of natural disasters. In this study, the effects of land use features on flood occurrence have been determined by using GIS and remote sensing. Pixel-based classification method has been used for analyzing land use features. IKONOS pan-sharpened satellite imagery has been used for current land use. Processes of flood analyze were performed by means of HEC-GeoRAS (ArcGIS 9.3) and HEC-RAS 4.0 (Hydrologic Engineering Centers River Analysis System) hydraulic software. In this study, geometric data composes the basis of the model. These data are rivers, river coasts, stream ways, cross sections and land use. The geometric data of the study area are produced with HEC-GeoRAS and all other data were gathered here before they were transferred to the HEC-RAS. After the input of the geometric data stream, data related to the basin where the modeling will be done were input. Hydraulic and hydrologic modeling for the flood risk studies, flood flow rates of 10, 50 and 100 years were calculated using maximum flood flow rates of 30 years, and flood risk maps were obtained making hydraulic modeling according to the data obtained.
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