沿海城市天津湖泊—内涝时空变化耦合关系

臧金龙; 国巧真; 桑潇; 谢童谣; 贺承伟

doi:10.11834/jrs.20208303

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沿海城市天津湖泊—内涝时空变化耦合关系
Coupling relationship between spatial-temporal variation of lakes and waterlogging in the coastal city Tianjin
2020年24卷第2期页码：199-213
纸质出版日期： 2020-02-07 ，
DOI： 10.11834/jrs.20208303

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臧金龙，国巧真，桑潇，谢童谣，贺承伟.2020.沿海城市天津湖泊—内涝时空变化耦合关系.遥感学报，24（2）： 199-213Zang J L，Guo Q Z，Sang X，Xie T Y and He C W. 2020. Coupling relationship between spatial-temporal variation of lakes and waterlogging in the coastal city Tianjin. Journal of Remote Sensing （Chinese）， 24（2）： 199-213［DOI：10.11834/jrs.20208303］

ZANG Jinlong,GUO Qiaozhen,SANG Xiao,XIE Tongyao,HE Chengwei. 2020. Coupling relationship between spatial-temporal variation of lakes and waterlogging in the coastal city Tianjin. National Remote Sensing Bulletin. 24(2): 199-213
臧金龙，国巧真，桑潇，谢童谣，贺承伟.2020.沿海城市天津湖泊—内涝时空变化耦合关系.遥感学报，24（2）： 199-213Zang J L，Guo Q Z，Sang X，Xie T Y and He C W. 2020. Coupling relationship between spatial-temporal variation of lakes and waterlogging in the coastal city Tianjin. Journal of Remote Sensing （Chinese）， 24（2）： 199-213［DOI：10.11834/jrs.20208303］ DOI：

ZANG Jinlong,GUO Qiaozhen,SANG Xiao,XIE Tongyao,HE Chengwei. 2020. Coupling relationship between spatial-temporal variation of lakes and waterlogging in the coastal city Tianjin. National Remote Sensing Bulletin. 24(2): 199-213 DOI： 10.11834/jrs.20208303.

摘要

近年来城市内涝问题凸显，给社会生产和人们生活带来诸多不便。以天津市为例，基于Landsat系列数据，利用MBWI水体指数法逐年提取其1984年—2017年的湖泊数据，并结合内涝点数据，研究天津市湖泊空间演变与内涝耦合性，建立湖泊演变系统与内涝系统的综合评价指标体系，构建湖泊演变与内涝之间的耦合度模型。结果表明：天津市湖泊面积在1984年—2005年波动上升，2005年—2017年间断减少，减少原因主要是人为干扰。2005年—2017年东丽区的湖泊面积减少最快且幅度最大。同时，大部分区的湖泊面积占比大幅降低；天津市的内涝区主要分布在市内6区及附近区，其中无湖泊区域比有湖泊区域容易产生内涝，湖泊面积小的区域比湖泊面积大的区域容易产生内涝。湖泊面积占比越小，内涝点密度越大。天津市湖泊群质心整体由中心向四周移动，湖泊质心移动的反方向容易产生内涝。湖泊演变与内涝之间存在初级耦合协调关系。

Abstract

In recent years

the problem of urban waterlogging has become prominent

which has brought many inconveniences towards social production and human life. Taking Tianjin as an example

the coupling on the spatial evolution of lakes and waterlogging was studied.

Based on the Landsat series data

multi-ban water index was used to extract the lake from 1984 to 2017 year by year. Combined with the data on waterlogging

a comprehensive evaluation index system on lake evolution and waterlogging systems was proposed. Meanwhile

a coupling degree model between lake evolution and waterlogging was established.

Results indicated that the lake area in Tianjin volatility increased from 1984 to 2005 and intermittently decreased from 2005 to 2017. From 2005 to 2017

the lake area in Dongli District decreased the fastest and the greatest. The proportion of lakes in most districts also decreased significantly. The waterlogging areas of Tianjin were mainly distributed in the six districts of the city centre and nearby districts. Areas without lakes were more likely to produce waterlogging than areas with lakes; areas with few lakes were more likely to produce waterlogging than areas with many lakes; the smaller the proportion of lakes

the greater the density of waterlogging points. The lake group moved from the centre towards the whole Tianjin

and the opposite direction of the lake’s centroid movement was likely to produce waterlogging.

Lake areas in Tianjin have decreased in recent years

and the reduction is mainly due to human interference. The decrease of lakes is one of the important causes of waterlogging. Therefore

a primary coupling and coordination relationship exists between lake evolution and waterlogging.

关键词

遥感Landsat城市内涝湖泊面积湖泊质心耦合度

Keywords

remote sensingLandsaturban waterlogginglake arealake centroidcoupling degree

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