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武汉城市绿色基础设施湖泊枢纽的绿量研究

发布时间:2018-06-07 22:25

  本文选题:绿量 + 反演 ; 参考:《华中农业大学》2013年硕士论文


【摘要】:随着城市化进程的不断加速,滨湖绿色开放空间不断的被硬质空间和农用田地侵占,滨湖生态环境遭到了破坏,滨湖绿地的生态效益受到了越来越多的关注。本文以绿色基础设施为切入点,选择出武汉市的湖泊枢纽,对其绿量特征进行研究,用以指导未来滨湖绿地的规划与建设。本文收集2010年对武汉市不同植物群落的叶面积指数(LAI)调查数据,建立实测LAI与遥感影像提取的植被指数RVI的相关方程,从而反演出武汉市市域范围的叶面积指数总体分布。然后设置评价参数因子,对武汉市绿色基础设施的枢纽进行选择:接下来从已选的枢纽中筛选出重要性较高的湖泊枢纽,并确定其缓冲范围。在此基础上,对每个湖泊枢纽进行三维绿量的估算,分析研究区域内三维绿量的特征,主要的研究结果如下:(1)运用函数模型对实测叶面积指数与比值植被指数RVI进行回归的拟合度比较好,其回归方程为:Y=0.012X3-0.207X2+2.061X-0.508(2)通过评价体系选择出的枢纽多集中在大型山水斑块。(3)通过湖泊重要性评价,选择出25个湖泊枢纽,并确定了其范围。(4)湖泊枢纽绿量特征值分析结果比较结果:LAI最小值,武湖和野湖最高,梅店水库的最低:LAI最大值,小爹湖的最高,墨水湖的最低;LAI均值,小爹湖最高,其次是梅店水库,武湖水系的最低。(5)各湖泊枢纽绿量等级研究结果:各个湖泊枢纽中,高绿量斑块都非常少,中绿量斑块面积比较大。
[Abstract]:With the acceleration of urbanization, the green open space of lakeside has been occupied by hard space and agricultural fields, the ecological environment of lakeside has been destroyed, and the ecological benefit of lakeside green space has been paid more and more attention. In this paper, the green infrastructure is taken as the breakthrough point, the lake hub in Wuhan is selected, and its green quantity characteristics are studied to guide the planning and construction of the future lakeside green space. In this paper, the data of leaf area index (Lai) of different plant communities in Wuhan in 2010 were collected, and the correlation equations between Lai and RVI extracted from remote sensing images were established, so as to reverse the total distribution of leaf area index in Wuhan. Then set up the evaluation parameter factor to select the hub of Wuhan green infrastructure: then select the high-importance lake hub from the selected hub and determine its buffer range. On this basis, the three-dimensional green quantity of each lake hub is estimated, and the characteristics of the three-dimensional green quantity in the region are analyzed and studied. The main results are as follows: (1) the fitting degree of the regression between the measured leaf area index and the ratio vegetation index RVI is better by using the function model. The regression equation is: yong 0.012X3-0.207X2 2.061X-0.508K2) most of the hubs selected by the evaluation system are concentrated in the large mountain and water patches. (3) by evaluating the importance of lakes, 25 lake hubs are selected. The results of the analysis of the characteristic value of green quantity in the lake hub are as follows: the minimum value of 1% Lai, the highest value of Wuhu Lake and Wild Lake, the lowest maximum value of 1% Lai of Meidian Reservoir, the highest value of Xiaodi Lake, the lowest mean value of Lai of Ink Lake, and the highest value of Xiaodi Lake. Secondly, Meidian Reservoir, Wuhu Lake, the lowest. 5) the result of the study on the green quantity grade of each lake hub: in each lake hub, the high green patch is very few, and the middle green patch area is relatively large.
【学位授予单位】:华中农业大学
【学位级别】:硕士
【学位授予年份】:2013
【分类号】:TU985.12

【引证文献】

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