A study on the Change of Surface Water in Zhejiang Province Based on Long-Series Remote Sensing Data

DOI

10.2991/978-94-6463-658-1_7How to use a DOI?

Keywords

surface water; remote sensing; Zhejiang province; spatiotemporal variation

Abstract

Surface water bodies are characterized by dynamics, complexity and seasonality, so it is important to accurately portray the dynamics of surface water body changes for regional water security, water resources utilization and the construction of happy rivers and lakes. Based on the long-series remote sensing data, this study explores the spatial and temporal variability of surface water bodies such as rivers, lakes, reservoirs and ponds in Zhejiang Province over the past four decades, taking 1980, 2000 and 2020 as the time nodes. The results of the study show that: (1) Continuous expansion of surface water bodies in Zhejiang Province over the past forty years, with reservoirs showing the most significant growth rates and extents; (2) Lakes and reservoirs in Zhejiang Province are predominantly small in size, with approximately 85% having an area ≤ 0.25km². Nevertheless, larger lakes and reservoirs, though fewer in number, play crucial roles in the aquatic landscape; (3) From the point of view of the spatial distribution, the area of the upper and middle reaches of the rivers are relatively stable, whereas the downstream areas experience notable shrinkage. Lakes are mainly concentrated in the East Tiaoxi River basin and continue to expand, while reservoirs are mainly concentrated in Hangjiahu area, upper reaches of the Qiantang River, and upper reaches of the Ou River, showing discernible expansion trends; (4) From the interactive relationship between watersheds and other land use types, the expansion of water bodies is mainly derived from the transfer of cultivated land and forest land, while the construction of towns and cities is the main driving force for the disappearance of water bodies.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Meifeng Li
AU  - Zhijie Zhou
AU  - Xun Chen
AU  - Yi Chen
AU  - Ziqiang Ye
AU  - Hongqing Zhang
PY  - 2025
DA  - 2025/03/03
TI  - A study on the Change of Surface Water in Zhejiang Province Based on Long-Series Remote Sensing Data
BT  - Proceedings of the 2024 10th International Conference on Architectural, Civil and Hydraulic Engineering (ICACHE 2024)
PB  - Atlantis Press
SP  - 55
EP  - 68
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-658-1_7
DO  - 10.2991/978-94-6463-658-1_7
ID  - Li2025
ER  -