Temporal-spatial changes and driving analysis of the northern shorelines of Jiaodong Peninsula
ZHAO Lianjie1(), WU Mengquan1(), ZHENG Longxiao1, LUAN Shaopeng2, ZHAO Xianfeng3, XUE Mingyue1, LIU Jiayan1, LIU Chenxi4
1. School of Resources and Environmental Engineering, Ludong University, Yantai 264039, China 2. Yantai Geographic Information Center, Yantai 264000, China 3. Yantai Land Reserve and Use Centre, Yantai 264000, China 4. School of Earth Sciences, Yangtze University, Wuhan 430100, China
Dynamic shoreline monitoring is greatly significant for the scientific management of coastal zones and the rational utilization of marine resources. Based on the Landsat remote sensing images of four periods i.e., 1990, 2000, 2010, and 2020, this study extracted the changes in the shorelines and the coastal zones within the 2 km of the buffer zone in the north of Jiaodong Peninsula from 1990 to 2020 by making comparison and using an object-oriented method. By combining the calculation method for shoreline change intensity, this study analyzed the changing rate and temporal-spatial distribution characteristics of the shorelines using the digital shoreline analysis system (DSAS). Then, this study conducted a driving analysis of changes in the shoreline by constructing a human activity intensity index (HAII) model. The results are as follows. The shorelines of the study area generally showed an upward trend and advanced slowly to the seaside. The overall length of the shorelines increased by 183.13 km. The highest increased and decreased amplitude occurred in artificial shorelines and sandy natural shorelines, respectively. The shoreline changing rates showed uneven temporal-spatial distribution. The maximum growth rate of 94.59 m/a occurred in the Jiaolai River - Jiehe River section, while the maximum erosion rate of -49.01 m/a occurred in the Jiehe River - Dagujia River section. The changes in offshore human activities were the main contributor to the temporal-spatial changes of coastlines in the study area. The lengths and types of shorelines were mainly affected by human activities through sea reclamation and port construction.
Ma X F, Zhao D Z, Zhang F S, et al. Means of withdrawing coastline by remote sensing[J]. Remote Sensing Technology and Application, 2007, 22(4):575-580.
Wu Y Q, Liu Z L. Research progress on methods of automatic coastline extraction based on remote sensing images[J]. Journal of Remote Sensing, 2019, 23(4):582-602.
Li J L, Tian P, Shao S Y, et al. The change of continental coastline and its development and utilization intensity in the East China Sea[J]. Journal of Natural Resources, 2019, 34(9):1886-1901.
doi: 10.31497/zrzyxb.20190907
[4]
Zhou M, Wu M Q, Zhang G Z, et al. Analysis of voastal zone data of northern Yantai collected by remote sensing from 1990 to 2018[J]. Applied Sciences, 2019, 9(20):4466.
doi: 10.3390/app9204466
Sun X L, Wu M Q, Tian J H, et al. Driving forces and spatio-temporal variation of Weihai coastline in recent 30 years[J]. Journal of Applied Oceanography, 2019, 38(2):206-213.
[6]
Dai C, Howat I M, Larour E, et al. Coastline extraction from repeat high resolution satellite imagery[J]. Remote Sensing of Environment, 2019, 229:260-270.
doi: 10.1016/j.rse.2019.04.010
Yao X J, Gao Y, Du Y Y, et al. Spatial and temporal changes of Hainan coastline in the past 30 years based on RS[J]. Journal of Natural Resources, 2013, 28(1):114-125.
Liu B Q, Meng W Q, Zhao J H, et al. Variation of coastline resources utilization in China from 1990 to 2013[J]. Journal of Natural Resources, 2015, 30(12):2033-2044.
Wang Z C, Gao Z Q, Shang W T, et al. Land use change and it’s influence on coastline change along Laizhou Bay during 1987—2017[J]. Bulletin of Soil and Water Conservation, 2021, 41(1):309-316,336.
Bo Y H, Li H Z, Li X X, et al. Landscape patterns of coastline and coastal zone in Shenzhen City and their responses to intensity of human activities for 4 periods since 1990[J]. Wetland Science, 2019, 17(3):335-343.
Miao M, Xie X P. Spatial- temporal evolution analysis of Rizhao coastal zone during 1988—2018 based on GIS and RS[J]. Remote Sensing for Land and Resources, 2021, 33(2):237-247.doi:10.6046/gtzyyg.2020229.
doi: 10.6046/gtzyyg.2020229
[12]
Mullick M R A, Islam K M A, Tanim A H. Shoreline change assessment using geospatial tools:A study on the Ganges deltaic coast of Bangladesh[J]. Earth Science Informatics, 2020, 13(2):99-316.
[13]
Baral R, Pradhan S, Samal R N, et al. Shoreline change analysis at Chilika Lagoon Coast,India using digital shoreline analysis system[J]. Journal of the Indian Society of Remote Sensing, 2018, 46(10):1637-1644.
doi: 10.1007/s12524-018-0818-7
Yang L, Li J L, Yuan Q X, et al. Spatial-temporal changes of continental coastline in southern China[J]. Journal of Marine Sciences, 2014, 32(3):42-49.
doi: 10.3969/j.issn.1001-909X.2014.03.006
Zhang X K, Zhang X, Yang B H, et al. Coastline extraction using remote sensing based on coastal type and tidal correction[J]. Remote Sensing for Land and Resources, 2013, 25(4):91-97.doi:10.6046/gtzyyg.2013.04.15.
doi: 10.6046/gtzyyg.2013.04.15
Duan Q Y, Meng L K, Fan Z W, et al. Applicability of the water information extraction method based on GF-1 image[J]. Remote Sensing for Land and Resources, 2015, 27(4):79 -84.doi:10.6046/gtzyyg.2015.04.13.
doi: 10.6046/gtzyyg.2015.04.13
Wang C Y, Wang A L, Wang J Y, et al. Coastal zone land use information extraction based on object-oriented classification method[J]. Journal of Natural Resources, 2014, 29(9):1589-1597.
Yuan X H, Wang P, Zhang Y, et al. Research on edge detection and object-oriented for automatic extraction of coastline[J]. Beijing Surveying and Mapping, 2019, 33(2):148-152.
Zhang X, Wang X P, Huang A Q, et al. Extraction of complex coastline feature and it’s multi-year changes in Shandong Peninsula based on remote sensing image[J]. Transactions of Oceanology and Limnology, 2021, 43(2):171-181.
Wu L N, Yang S T, Liu X Y, et al. Response analysis of land use change to the degree of human activities in Beiluo River basin since 1976[J]. Journal of Geographical Sciences, 2014, 69(1):54-63.
Chen F, Chen G, Bao H S, et al. Analysis on land use change and human driving force in urban fringe[J]. Journal of Natural Resources, 2001, 16(3):204-210.
Liang F C, Liu L M. Quantitative analysis of human disturbance intensity of landscape ptterns and preliminary optimization of ecological function regions:A case of Minqing County in Fujian Province[J]. Resources Science, 2011, 33(6):1138-1144.
Xu Y, Sun X Y, Tang Q. Human activity intensity of land surface:Concept,method and application in China[J]. Journal of Geographical Sciences, 2015, 70(7):1068-1079.
Li Z P, Liu L M, Xie H L. Methodology of rural landscape classification:A case study in Baijiatuan Village Haidian District,Beijing[J]. Resources Science, 2005, 27(2):167-173.
Jia Y Y, Tang X L, Zhang Z R. Distribution of nature protected areas and its relationship with human activity intensity in the middle and lower reaches of the Yangtze River basin[J]. World Regional Studies, 2020, 29(4):845-855.
doi: 10.3969/j.issn.1004-9479.2020.04.2019131
Sun G Q, Xu Y D, Lin L, et al. Coastline changes in the Zhifu Bay of Yantai City based on remote sensing and GIS[J]. Advances in Marine Science, 2020, 38(1):140-152.