Study on method for assessment of the physical structure integrity in Chagan lake in China based on remote sensing.
This paper, taking Chagan lake as the study area, uses and improves MWR V1.0 (Rivers (Lake) Health Assessment Indicators, Standards and Methods V1.0) relating to the theory and method of physical structure integrity assessment. A 500 m × 1000 m grid on the lakeshore zone is a basic evaluation unit, and then a lakeshore physical structural integrity evaluation system using remote sensing (RS) and geographic information system (GIS) technology is established, which contains a target layer, criterion layer and indicator layer. The criterion layer consists of lakeshore condition, shoreline development rate and lake atrophy rate, and the index layer is composed of slope, vegetation cover rate and water level change rate, and another eight indicators. The results showed that for the 23 monitoring points in Chagan lake and the 15 monitoring points in Xinmiao lake, the evaluation results based on RS were 0.60-0.74 and 0.35-0.52, respectively, and the field evaluation results were 0.64-0.77 and 0.35-0.55, respectively. The evaluation results of the two methods consistently indicated that the physical structure of the lakeshore of Chagan lake was healthy and the Xinmiao's lakeshore was sub-health. On this basis, a piecewise evaluation method of physical structure integrity based on the division of the nature reserve function was proposed in this paper.
Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, 4888 Shengbei Street, Changchun 130102, Jilin Changchun 130102, China E-mail: liying_neigae@126.com; University of Chinese Academy of Sciences, Beijing 100049, China.
Bo-lin
BL
Fu
Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, 4888 Shengbei Street, Changchun 130102, Jilin Changchun 130102, China E-mail: liying_neigae@126.com.
Ying
Y
Li
Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, 4888 Shengbei Street, Changchun 130102, Jilin Changchun 130102, China E-mail: liying_neigae@126.com.
Bai
B
Zhang
Tangshan Normal University, 156 Jianshe Street, Tangshan 063000, China.
Bai-shu
BS
Yin
University of Chinese Academy of Sciences, Beijing 100049, China; Tangshan Normal University, 156 Jianshe Street, Tangshan 063000, China.
Hong-lei
HL
Zhu
Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, 4888 Shengbei Street, Changchun 130102, Jilin Changchun 130102, China E-mail: liying_neigae@126.com; University of Chinese Academy of Sciences, Beijing 100049, China.
Ze-feng
ZF
Xin
D002681:China; D004777:Environment; D004784:Environmental Monitoring / Q000379:methods*; D040362:Geographic Information Systems; D060106:Lakes; D058998:Remote Sensing Technology; D045483:Rivers