长江南京段河床与洲滩平面演变特征遥感分析

Morphological evolution of river and sandbars based on satellite remote sensing images of the Nanjing reach of the Yangtze River

  • 摘要: 以长江南京段为例,根据1984—2020年间Landsat卫星遥感影像资料,利用归一化差分水体指数法提取特定水位下的水边线,形态学方法提取河床边界和洲滩,本征正交分解法提取两者的时空演变特征。结果表明:近40年以来,长江南京段河床边界受人类活动影响向内收缩(对应水域面积减幅6%),并以长江村附近收缩最为剧烈,主要发生于1984—2005年;河段五大洲滩中,八卦洲、梅子洲及新济洲的形态变化较小,新生洲洲头消退和洲尾淤长程度相近,新潜洲自洲头向下游逐渐淤长,面积增幅200%,洲尾初期、中期及后期增长分别发生在1984—2000年、2000—2005年及2005—2020年。河床边界与洲滩时间序列的一阶模态反映了时均形态,其他高阶模态反映了局部冲淤消长规律,模态投影系数反映了各空间演变特征对应的时间演变特征。

     

    Abstract: With the development degree of river getting higher and higher, the negative accumulating effects are becoming serious. Evolution analysis results can provide basic support for scientific utilization, protection and management of rivers. Taking the Nanjing reach of the Yangtze River as a typical study case, the monthly Landsat remote sensing images from 1984 to 2020 were collected. The normalized difference water index method, the morphological method, and the proper orthogonal decomposition method were used to extract riverbed boundary and sands and their spatio-temporal evolution characteristics. Results show that in the past 40 years, the riverbed boundary of the Nanjing reach of the Yangtze River was shrunk by 6% due to human activities, and the most violent shrinkage, which occurred during 1984-2005, was near the Changjiangcun. For the five major sandbars in the Nanjing reach, Bagua Sandbar, Meizi Sandbar and Xinji Sandbar had little change; the eroding degree of the head of the Xinsheng Sandbar was similar to the deposition degree of its tail; while the Xinqian Sandbar was gradually deposited from the upstream to the downstream with an area increase of 200%, and the initial, medium and last stages of deposition were during 1984-2000, 2000-2005, and 2005-2020, respectively. The first-order modes of riverbed boundary and sandbar series reflect the time averaged morphology, while other high-order modes reflect the erosion and deposition of local areas. Projection coefficient series can well depict the time evolution feature of the spatial evolution modes.

     

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