[1]王冬梅,张明,王轶虹,等.近60年固城湖湖泊面积时空变化特征及其驱动力分析[J].江苏水利,2022,(09):11-14.
 WANG Dongmei,ZHANG Ming,WANG Yihong,et al.Temporal and spatial variation characteristics and driving force of Gucheng Lake lake area in recent 60 years[J].JIANGSU WATER RESOURCES,2022,(09):11-14.
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近60年固城湖湖泊面积时空变化特征及其驱动力分析()
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《江苏水利》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2022年09期
页码:
11-14
栏目:
水生态与环境
出版日期:
2022-10-08

文章信息/Info

Title:
Temporal and spatial variation characteristics and driving force of Gucheng Lake lake area in recent 60 years
文章编号:
1007-7839(2022)09-0011-0004
作者:
王冬梅1张明2王轶虹1陈丽1石一凡1梁文广1
(1.江苏省水利科学研究院,江苏 南京 210017;2.江苏省水利学会,江苏 南京 210029)
Author(s):
WANG Dongmei1 ZHANG Ming2 WANG Yihong1 CHEN Li1 SHI Yifan1 LIANG Wenguang1
(1.Jiangsu Hydraulic Research Institute, Nanjing 210017, China;2.Jiangsu Hydraulic Engineering Society, Nanjing 210029, China)
关键词:
遥感湖泊面积驱动力分析固城湖
Keywords:
remote sensing lake area driving force analysis Gucheng Lake
分类号:
TV131.66
文献标志码:
B
摘要:
研究基于20世纪60年代至21世纪20年代不同时期卫星影像,提取7期固城湖湖泊面积,结合气象和社会经济数据,分析近60年来固城湖时空变化特征,并对导致固城湖湖泊面积变化的自然和社会因素进行驱动力分析。结果表明:20世纪60年代至80年代,固城湖水面面积共萎缩43.82 km2,平均以2.19 km2/a速率迅速减少,20世纪80年代至21世纪20年代,固城湖水面面积保持稳定,变化较小。通过驱动力分析可知,固城湖湖泊面积萎缩主要受人类活动影响,其次受自然因素的影响。
Abstract:
Based on the high-resolution satellite remote sensing images from 1960s to 2020s, this study extracted the lake area of Gucheng Lake in seven periods through human-computer interaction. Combined with meteorological and socio-economic data, this study analyzed the temporal and spatial change characteristics of Gucheng Lake in recent 60 years, and analyzed the driving forces of natural and social factors leading to the change of Gucheng Lake area. The results showed that the water area of Gucheng Lake shrank by 43.82 km2 during the period of 1960 s to 1980 s, and decreased rapidly at the rate of 2.19 km2/a. During the period of 1980 s to 2020 s, the lake was in a stable state. Through the analysis of driving forces, it can be seen that the shrinkage of Lake area of Gucheng Lake is mainly affected by human activities, followed by natural factors.

参考文献/References:

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相似文献/References:

[1]雷少华,徐春,韩丹妮,等.基于遥感的水土流失长时序监测分析[J].江苏水利,2023,(01):28.
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备注/Memo

备注/Memo:
收稿日期:2022-05-27
基金项目:江苏水利科技项目(2020061,2021072,2020039);江苏省水利科学研究院自主科研项目(2020z025)
作者简介:王冬梅(1978—),女,研究员级高级工程师,硕士,主要从事河湖监测、规划与修复等研究工作。E-mail:17290559@qq.com
更新日期/Last Update: 2022-09-25