Abstract
Coastal tidal creeks are important channels for exchanges of material and energy between sea and land, and play an important role in the ecological protection of tidal flats. Although tidal creeks have evolved differently in various regions, the evolutionary process of tidal creeks in the Huanghe (Yellow) River delta of China, one of the most active deltas worldwide, is not entirely clear. Therefore, the evolution of tidal creeks from 1981 to 2021 in the delta was investigated by quantitatively analysing the tidal creeks and developing a standard for dividing their evolution periods. Visual interpretation and supervised classification methods were applied to the Landsat images to extract the tidal creek network, and 17 groups of tidal creek systems were selected. Results indicate that Creek S1 was the most developed creek for having 113 tidal creeks totaling 65.8 km in length, while Creek E3 had the fastest growth rate for having average annual increase of 1.9 km. Meanwhile, the level of tidal creeks increased, the average and median lengths of tidal creeks increased, and the number of tidal creeks decreased since 1981. The evolution of the tidal creek system could be divided into four stages, namely, rising, developing, stabilizing, and degrading. Analyses of a representative tidal creek show that there was no degenerated tidal creek during the rising period, with an increase in the number of 50 and a length increase of 57.9 km between 1981 and 1989. The proportion of new tidal creeks in the developing period was more than 50% and the new tidal creeks in the stabilizing period were equal to the degraded tidal creeks. Extinct tidal creeks were greater than 50% during the degrading period. There was no fixed order of tidal creek evolution in each period, and there may be a skip in evolution. Our findings provided a reference for studying the evolution of tidal creeks.
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6 Data Availability Statement
Publicly available datasets were analysed in this study. The Landsat remote sensing data can be found here: Geospatial Data Cloud (https://www.gscloud.cn/home).
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Supported by the Natural Science Foundation of Shandong Province (No. ZR2021ME167) and the Key Research and Development Program of Shandong Province (No. 2022CXGC010401)
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Han, Z., Jin, K., Zong, Q. et al. Examining the evolution of tidal creeks in the Huanghe River delta using multi-temporal Landsat images. J. Ocean. Limnol. (2024). https://doi.org/10.1007/s00343-023-3102-9
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DOI: https://doi.org/10.1007/s00343-023-3102-9