Erosion hotspot identified along the sandy coast of Shanwei: characteristics and origin

Jitao Yu; Yuanting Ding; Lin Zhang; Pei Liu; Renfu Fan

doi:10.1007/s13131-022-2124-z

Volume 42 Issue 7

Jul. 2023

Turn off MathJax

Article Contents

Article Navigation > Acta Oceanologica Sinica > 2023 > 42(7): 91-102

Jitao Yu, Yuanting Ding, Lin Zhang, Pei Liu, Renfu Fan. Erosion hotspot identified along the sandy coast of Shanwei: characteristics and origin[J]. Acta Oceanologica Sinica, 2023, 42(7): 91-102. doi: 10.1007/s13131-022-2124-z

Citation:

Jitao Yu, Yuanting Ding, Lin Zhang, Pei Liu, Renfu Fan. Erosion hotspot identified along the sandy coast of Shanwei: characteristics and origin[J]. Acta Oceanologica Sinica, 2023, 42(7): 91-102. doi: 10.1007/s13131-022-2124-z

Citation:

PDF( 3179 KB)

Erosion hotspot identified along the sandy coast of Shanwei: characteristics and origin

doi: 10.1007/s13131-022-2124-z

Jitao Yu^{1, 2},
Yuanting Ding³,
Lin Zhang^{1, 2},
Pei Liu^{1, 2},
Renfu Fan^{1, 2
,
,}

1.
Hainan Academy of Ocean and Fisheries Sciences, Haikou 571126, China
2.
Yazhou Bay Innovation Institute, Hainan Tropical Ocean University, Sanya 572025, China
3.
School of Geography and Environmental Sciences, Hainan Normal University, Haikou 571158, China

Funds: The National Natural Science Foundation of China under contract No. 42071007; the Natural Science Foundation of Hainan Province under contract Nos 421QN0883 and 422RC665; the Foundation of Department Budget Projects of Hainan Province in 2022 under contract No. KYL-2022-06.

More Information

Corresponding author: E-mail: fanrenfu@tju.edu.cn
Received Date: 2022-07-18
Accepted Date: 2022-10-11

Available Online: 2023-07-24

Publish Date: 2023-07-25

Abstract

Abstract

Based on the measured beach profile data of Sanzhou Bay from 2015 to 2019, an erosion hotspot was identified along the Shanwei coastline of eastern Guangdong, where the maximum retreat distance of the shoreline exceeded 80 m and the erosion rate was more than 20 m/a. To determine the time at which the erosion hotspot started and the potential causes of its formation, this study used 63 Landsat satellite images from 1986 to 2019 to construct a time series of shoreline positions over the past 30 years by extracting their high-tide shorelines. Next, the M-K trend test method was introduced to evaluate the non-linear shoreline behavior based on the single-transect method. The results showed that the time of approximately 2013 marked the start of the erosion hotspot, the erosion hotspot was characterized by erosion rates of more than 2 m/a (a maximum rate of 31.6 m/a), and the affected shoreline more than 4.3 km from 2013 to 2019. Furthermore, this erosion hotspot was proved to be caused by artificial sand mining in the nearshore zone, which destroyed the original beach’s morphodynamic equilibrium. With the aid of storm events, soil cliffs composed of loose sediment on the backshore were sacrificed to achieve a new equilibrium, resulting in an extremely significant retreat parallel to the coast on the west side of the study area, which reflects the combined effect of human and natural processes. This study provides a concrete example of the rapid response of shorelines to artificial sand mining activities, and the associated finding is a stark warning about the cautious development and utilization of coastal zones and the strict regulation of human activities.
- erosion hotspot,
- shoreline,
- non-linear behavior,
- artificial sand mining,
- beach morphodynamic equilibrium,
- Landsat images

FullText(HTML)

References(31)

References

Barnard P L, Short A D, Harley M D, et al. 2015. Coastal vulnerability across the Pacific dominated by El Niño/Southern Oscillation. Nature Geoscience, 8(10): 801–807. doi: 10.1038/ngeo2539

Bender C J, Dean R G. 2003. Wave field modification by bathymetric anomalies and resulting shoreline changes: a review with recent results. Coastal Engineering, 49(1–2): 125–153

Benkhattab F Z, Hakkou M, Bagdanavičiūtė I, et al. 2020. Spatial-temporal analysis of the shoreline change rate using automatic computation and geospatial tools along the Tetouan coast in Morocco. Natural Hazards, 104(1): 519–536. doi: 10.1007/s11069-020-04179-2

Campbell T J, Jenkins M G. 2003. Design considerations for hot spot erosion areas on beach nourishment projects. In: Proceedings of 28th International Conference on Coastal Engineering 2002. Cardiff: World Scientific, 3642–3648

Carvalho B C, Dalbosco A L P, Guerra J V. 2020. Shoreline position change and the relationship to annual and interannual meteo-oceanographic conditions in southeastern Brazil. Estuarine, Coastal and Shelf Science, 235: 106582

Dean R G, Liotta R, Simon G. 1999. Erosional Hot Spots. Gainesville: Coastal & Oceanographic Engineering Program, University of Florida, 60

Del Río L, Gracia F J, Benavente J. 2013. Shoreline change patterns in sandy coasts. A case study in SW Spain. Geomorphology, 196: 252–266. doi: 10.1016/j.geomorph.2012.07.027

Fenster M, Dolan R. 1994. Large-scale reversals in shoreline trends along the U. S. mid-Atlantic coast. Geology, 22(6): 543–546. doi: 10.1130/0091-7613(1994)022<0543:LSRIST>2.3.CO;2

Fenster M S, Dolan R, Elder J F. 1993. A new method for predicting shoreline positions from historical data. Journal of Coastal Research, 9(1): 147–171

Frazer L N, Genz A S, Fletcher C H. 2009. Toward parsimony in shoreline change prediction (I): Basics function methods. Journal of Coastal Research, 25(2): 366–379

Gao Yi, Wang Hui, Su Fenzhen, et al. 2013. The analysis of spatial and temporal changes of the continental coastlines of China in recent three decades. Haiyang Xuebao (in Chinese), 35(6): 31–42

Hakkou M, Maanan M, Belrhaba T, et al. 2018. Multi-decadal assessment of shoreline changes using geospatial tools and automatic computation in Kenitra coast, Morocco. Ocean & Coastal Management, 163: 232–239

Hapke C J, Reid D, Richmond B. 2009. Rates and trends of coastal change in California and the regional behavior of the beach and cliff system. Journal of Coastal Research, 2009(253): 603–615

Hou Xiyong, Wu Ting, Hou Wan, et al. 2016. Characteristics of coastline changes in mainland China since the early 1940s. Science China Earth Sciences, 59(9): 1791–1802. doi: 10.1007/s11430-016-5317-5

Hou Xiyong, Wu Ting, Wang Yuandong, et al. 2014. Extraction and accuracy evaluation of multi-temporal coastlines of China’s mainland since 1940s. Marine Sciences (in Chinese), 38(11): 66–73

Hu Yabin, Ma Yi, Sun Weifu, et al. 2016. A method of extracting sandy coastline based on multi-temporal images: a case in Haiyang Beach. Ocean Development and Management (in Chinese), 33(5): 32–36,49

Kendall M G. 1975. Rank Correlation Methods. London: Charles Grifin

Kish S A, Donoghue J F. 2013. Coastal response to storms and sea-level Rise: Santa Rosa Island, Northwest Florida, USA. Journal of Coastal Research, 63: 131–140. doi: 10.2112/SI63-012.1

Kraus N C, Galgano F A. 2001. Beach erosional hot spots: types, causes, and solutions. In: Proceedings of 14th Beach Preservation Technology Conference. Tallahassee, FL: Florida Shore and Beach Preservation Association, 64–80

List J H, Farris A S. 1999. Large-scale shoreline response to storms and fair weather. In: Proceedings of the International Conference-Coastal Engineering Conference 4. New York: American Society of Civil Engineering, 1324–1338

List J H, Farris A S, Sullivan C. 2006. Reversing storm hotspots on sandy beaches: spatial and temporal characteristics. Marine Geology, 226(3–4): 261–279

Liu Baiqiao, Meng Qingwei, Zhao Jianhua, et al. 2015. Variation of coastline resources utilization in China from 1990 to 2013. Journal of Natural Resources (in Chinese), 30(12): 2033–2044

Maiti S, Bhattacharya A K. 2009. Shoreline change analysis and its application to prediction: a remote sensing and statistics based approach. Marine Geology, 257(1–4): 11–23

Mann H B. 1945. Non-parametric tests against trend. Econometrica, 13(3): 245–259. doi: 10.2307/1907187

Sun Jie, Zhan Wenhuan, Yao Yantao, et al. 2015. Current situation and influence factors of coastal erosion in Guangdong. Haiyang Xuebao (in Chinese), 37(7): 142–152

Thieler E R, Himmelstoss E A, Zichichi J L, et al. 2009. Digital Shoreline Analysis System (DSAS) version 4.0 — An ArcGIS extension for calculating shoreline change. http://pubs.usgs.gov/of/2008/1278/[2022-05-11]

Wang Wenjie, Yang Xuewu. 1996. Beach phases and evolution in the coasts of South China. Tropic Oceanology (in Chinese), 15(4): 9–16

Xu Nan, Gong Peng. 2018. Significant coastline changes in China during 1991–2015 tracked by Landsat data. Science Bulletin, 63(14): 883–886. doi: 10.1016/j.scib.2018.05.032

Xu Jinyong, Zhang Zengxiang, Zhao Xiaoli, et al. 2013. Spatial-temporal analysis of coastline changes in northern China from 2000 to 2012. Acta Geographica Sinica (in Chinese), 68(5): 651–660

Zhang Xiang, Wang Xiaopeng, Huang Anqi, et al. 2021. Extraction of complex coastline feature and its multi-year changes in Shandong Peninsula based on remote sensing image. Transactions of Oceanology and Limnology (in Chinese), 43(2): 171–181

Zhu Luoyun, Liu Tingting, Fan Renfu, et al. 2022. Study on the evolution process and driving mechanism of the sandy shoreline of the Qiwang Bay in eastern Guangdong from 1986 to 2019. Haiyang Xuebao (in Chinese), 44(7): 82–94

Relative Articles

Supplements(0)

Cited By

Proportional views