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Remote sensing and GIS analysis for demarcation of coastal hazard line along the highly eroding Krishna-Godavari delta front

机译:沿着克里希纳 - 戈达瓦里三角洲高度侵蚀沿海危险线划分的遥感与GIS分析

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Coastal regions, especially river deltas are highly resourceful and hence densely populated; but these extremely low-lying lands are vulnerable to rising sea levels due to global warming threatening the life and property in these regions. Recent IPCC (2013) predictions of 26-82cm global sea level rise are now considered conservative as subsequent investigations such as by Met Office, UK indicated a vertical rise of about 190cm, which would displace 10% of the world’s population living within 10 meters above the sea level. Therefore, predictive models showing the hazard line are necessary for efficient coastal zone management. Remote sensing and GIS technologies form the mainstay of such predictive models on coastal retreat and inundation to future sea-level rise. This study is an attempt to estimate the varying trends along the Krishna–Godavari (K–G) delta region. Detailed maps showing various coastal landforms in the K-G delta region were prepared using the IRS-P6 LISS 3 images. The rate of shoreline shift during a 31-year period along different sectors of the 330km long K-G delta coast was estimated using Landsat-2 and IRS-P6 LISS 3 images between 1977 and 2008. With reference to a selected baseline from along an inland position, End Point Rate (EPR), Shoreline Change Envelope (SCE) and Net Shoreline Movement (NSM) were calculated, using a GIS–based Digital Shoreline Analysis System (DSAS). The results showed that the shoreline migrated landward up to a maximum distance of 3.13km resulting in a net loss of about 42.10km~2 area during this 31-year period. Further, considering the nature of landforms and EPR, the future hazard line is predicted for the area, which also indicated a net erosion of about 57.68km~2 along the K-G delta coast by 2050 AD.
机译:沿海区域,特别是河流三角洲是高度机智和人口密集,因此;但这些极其低洼土地,由于全球变暖威胁在这些地区的生命和财产易受海平面上升。最近IPCC(2013)26-82cm全球海平面上升的预测现在被认为是保守,因为随后的调查,如由英国气象局表示约190厘米垂直上升,这将10米范围内的移动世界人口居住的10%以上。海平面。因此,表现出的危险线预测模型是必要的有效的沿海地区管理。遥感和地理信息系统技术,形成沿海撤退和洪水这样的预测模型,对未来海平面上升的中流砥柱。这项研究是估计变化趋势沿克里希纳-戈达瓦里(K-G)三角洲地区的尝试。示出在K-G三角洲地区各种海岸地貌的详细地图进行使用IRS-P6 LISS 3的图像的准备。海岸线移的过程中一个31年的期间沿着330公里使用陆地卫星-2和IRS-P6 LISS 1977和2008年之间3个图像与来自沿内陆位置参照所选择的基线长KG增量海岸估计的不同扇区的速率,终点率(EPR),海岸线变化信封(SCE)和净海岸线运动(NSM)进行了计算,使用基于GIS的数字岸线分析系统(DSAS)。结果表明,海岸线迁移在这31年期间向陆地方向可达导致约42.10公里〜2区的净亏损3.13公里的最大距离。此外,考虑地貌和EPR的性质,未来危险线被预测的区域,这也表明了约57.68公里〜2沿K个-G增量海岸2050 AD的净侵蚀。

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