基于InSAR的白洋淀湿地潜在水力阻碍物分布格局
Visualizing Potential Hydraulic Barriers in Baiyangdian Wetland Using InSAR
投稿时间:2020-05-24  修订日期:2020-09-26
中文关键词:潜在水力阻碍物  水文连通  干涉合成孔径雷达  白洋淀湿地
英文关键词:potential hydraulic barriers  hydrological connectivity  InSAR technology  Baiyangdian wetland
基金项目:国家重点研发计划课题(2017YFC0404505);水体污染控制与治理科技重大专项课题(2018ZX0711001);国家自然科学基金(51679008,51721093)
作者单位E-mail
刘丹 北京师范大学 环境学院水环境模拟国家重点实验室北京 100875 北京师范大学 环境学院水沙科学教育部实验室北京 100875 1033005096@qq.com 
王 烜 北京师范大学 环境学院水环境模拟国家重点实验室北京 100875 北京师范大学 环境学院水沙科学教育部实验室北京 100875  
张云龙 北京师范大学 环境学院水环境模拟国家重点实验室北京 100875 北京师范大学 环境学院水沙科学教育部实验室北京 100875  
闫胜军 北京师范大学 环境学院水环境模拟国家重点实验室北京 100875北京师范大学 环境学院水沙科学教育部实验室北京 100875  
杨 薇 北京师范大学 环境学院水环境模拟国家重点实验室北京 100875  
崔保山 北京师范大学 环境学院水环境模拟国家重点实验室北京 100875  
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中文摘要:
      探究潜在水力阻碍物的分布格局,对于识别连通受损区域、分析受损原因以及采取针对性连通措施具有重要的科学指导意义。鉴于传统光学遥感方法在植被信息抑制下的湿地水文监测方面具有一定局限性,提出了采用干涉合成孔径雷达(InSAR)技术,通过干涉对的解缠相位计算反演水域和非水域的地表形变差异、确定阻隔物形变阈值,从而识别潜在水力阻碍物的方法。 采用哨兵1号(Sentinel-1)雷达卫星数据确定了白洋淀潜在水力阻碍物的分布格局,并结合分析其对应的景观格局,揭示了导致白洋淀水文连通受阻的主要景观类型。结果表明:(1)InSAR干涉质量受到不同景观类型的显著影响,相干性从高至低分别为村庄>耕地>芦苇台田>水域,其中水域各期平均值均小于0.4,芦苇台田区域对白洋淀湿地整体的干涉质量影响最为显著;(2)不同类型景观的地表形变值差异大,其中芦苇台田区域和水域对应的形变为0~4.5 cm,均大于村庄和耕地;(3)白洋淀的潜在水力阻碍物主要为村庄、耕地和部分芦苇台田,潜在水力阻碍物的时空差异大。建议根据具体情况,采取水位控制和景观格局塑改等多重手段进行连通性调控。
英文摘要:
      Hydrological connectivity is important and can be the difference between a healthy wetland ecosystem and one that is degrading. An understanding of potential hydraulic barriers in wetlands is crucial for identifying disconnected areas, analyzing the causes and choosing specific measures to restore connectivity. In this study, we analyzed the spatial distribution of hydraulic barriers in Baiyangdian wetland (Baoding, Hebei) using data collected with interferometric synthetic aperture radar (InSAR). Overcoming the limitation of traditional optical remote sensing methods affected by vegetative cover, InSAR technology was implemented by first recognizing the differences in surface deformation between water and non-water from wrapped phases of the interferograms and then determining the deformation thresholds of hydraulic barriers. The distributions of potential hydraulic barriers in Baiyangdian wetland were then determined using Sentinel-1 data from January, 2016 to December, 2019. Finally the locations of potential hydraulic barriers, combined with the analysis of the corresponding landscape patterns, were used to identify land covers associated with a lack of hydrological connectivity. The results led to three primary findings: (1) The quality of InSAR interferograms was significantly affected by different land covers, with progressively reduced coherence of villages, cultivated lands, reed grasslands and open water. The average coherence of open water was less than 0.4, and the reed grassland most significantly influenced image quality. (2) The surface deformation of different land covers varied greatly, with reed grassland and open water in the range of 0-4.5 cm, generally higher than that of villages and farm land. (3) The potential hydraulic barriers of Baiyangdian wetland were mainly villages, farm land and reed grassland, with significant temporal and spatial variation. The distribution of the potential hydraulic barriers in Baiyangdian wetland was primarily influenced by landscape pattern, but is affected by water level. Therefore, multiple measures, such as water level control and landscape reconstruction, should be combined to restore hydrological connectivity in Baiyangdian wetland.
刘丹,王 烜,张云龙,闫胜军,杨 薇,崔保山.2020.基于InSAR的白洋淀湿地潜在水力阻碍物分布格局[J].水生态学杂志,41(5):70-76.
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