Spatiotemporal Variation of Water Level in Wetlands Based on Multi-Source Remote Sensing Data and Responses to Changing Environments

33 Pages Posted: 27 Aug 2024

See all articles by Dequan Zhang

Dequan Zhang

affiliation not provided to SSRN

Boting Hu

affiliation not provided to SSRN

Liwen Chen

Jilin Jianzhu University

Peng Qi

affiliation not provided to SSRN

Yao Wu

affiliation not provided to SSRN

Xuemei Liu

affiliation not provided to SSRN

Zhang Guangxin

affiliation not provided to SSRN

Wenguang Zhang

affiliation not provided to SSRN

Abstract

AbstractsUnder changing environmental conditions, water level is a crucial indicator for assessing the wetland hydrological cycle. Due to some wetlands being located in remote and widely dispersed areas, acquiring data on wetland water level changes presents significant challenges, making wetland water level monitoring exceptionally difficult. Wetlands are extensively distributed in western Jilin Province, China, and are experiencing significant degradation due to various factors including natural conditions, agricultural activities, and social development. This study proposes an monitoring method that combines Sentinel-3 radar altimetry satellites with optical remote sensing images to obtain wetland water level data. Additionally, the study takes into account the Chinese government’s Interconnected River System Network Project (IRSNP), classifying wetlands in western Jilin Province into three different water recharge scenarios: direct recharge through main and branch canals, indirect recharge through ditches, and no recharge to isolated wetlands. This study analyses the relationship between wetland water level changes and climatic factors, and assesses how IRSNP can mitigate the negative impacts of climate factors on wetland water levels across different recharge scenarios. The results show that: (1) the wetland water level monitoring method, has high accuracy and feasibility. The average difference between the in-situ measured and satellite-monitored water levels was 0.254 m. (2) There was an overall increasing trend in wetland water levels directly influenced by IRSNP, an insignificant decreasing trend in wetland water levels indirectly influenced by IRSNP. (3) Increased precipitation and decreased evaporation are the predominant climatic factors contributing to rising wetland water levels. Lower relative humidity and higher temperatures primarily lead to declining water levels. The construction of IRSNP can mitigate the impact of climate change on water levels. Under changing environmental conditions, the implementation of IRSNP has positively impacted wetland protection and provides valuable insights for understanding wetland water level changes and managing water resources effectively.

Keywords: Water level, IRSNP, Climate change, Wetlands, Western Jilin Province

Suggested Citation

Zhang, Dequan and Hu, Boting and Chen, Liwen and Qi, Peng and Wu, Yao and Liu, Xuemei and Guangxin, Zhang and Zhang, Wenguang, Spatiotemporal Variation of Water Level in Wetlands Based on Multi-Source Remote Sensing Data and Responses to Changing Environments. Available at SSRN: https://ssrn.com/abstract=4938269 or http://dx.doi.org/10.2139/ssrn.4938269

Dequan Zhang

affiliation not provided to SSRN ( email )

No Address Available

Boting Hu

affiliation not provided to SSRN ( email )

No Address Available

Liwen Chen

Jilin Jianzhu University ( email )

China

Peng Qi (Contact Author)

affiliation not provided to SSRN ( email )

No Address Available

Yao Wu

affiliation not provided to SSRN ( email )

No Address Available

Xuemei Liu

affiliation not provided to SSRN ( email )

No Address Available

Zhang Guangxin

affiliation not provided to SSRN ( email )

No Address Available

Wenguang Zhang

affiliation not provided to SSRN ( email )

No Address Available

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