Temporal-spatial changes and driving analysis of the northern shorelines of Jiaodong Peninsula
-
摘要: 海岸线动态监测对于海岸带科学管理和海洋资源合理利用具有重要意义。选用1990年、2000年、2010年和2020年共4期Landsat遥感影像数据,对比并采用了面向对象法提取了胶东半岛北部1990—2020年的海岸线和近岸2 km缓冲区内的海岸带变化,结合海岸线变迁强度的计算方法,利用数字岸线分析系统(digital shoreline analysis system,DSAS)分析了海岸线的变化速率和时空分布特征,通过构建人类活动强度指数 (human activity intensity index,HAII) 模型对海岸线的变化进行了驱动分析。结果表明: ①研究区海岸线整体呈增长趋势,并向海一侧缓慢推进,海岸线长度总体增加了183.13 km,人工岸线增幅最大,砂质自然岸线减幅最大; ②海岸线变化速率时空分布不均衡,最大增速出现在胶莱河—界河区段,为94.59 m/a,最大侵蚀速率出现在界河—大沽夹河区段,为-49.01 m/a; ③近海人类活动变化是研究区海岸线时空变迁的主要原因,人类活动主要以围填海、港口建设等形式影响着海岸线的长度和类型变化。Abstract: 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.
-
Key words:
- object oriented /
- SVM /
- DSAS /
- temporal and spatial changes /
- human activity intensity index
-
-
[1] 马小峰, 赵冬至, 张丰收, 等. 海岸线卫星遥感提取方法研究进展[J]. 遥感技术与应用, 2007, 22(4):575-580.
[2] 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.
[3] 吴一全, 刘忠林. 遥感影像的海岸线自动提取方法研究进展[J]. 遥感学报, 2019, 23(4):582-602.
[4] 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.
[5] 李加林, 田鹏, 邵姝遥, 等. 中国东海区大陆岸线变迁及其开发利用强度分析[J]. 自然资源学报, 2019, 34(9):1886-1901.
[6] 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.
[7] 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.
[8] 孙晓林, 吴孟泉, 田佳慧, 等. 近30年威海市海岸线时空变化及其驱动力[J]. 应用海洋学学报, 2019, 38(2):206-213.
[9] 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.
[10] 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.
[11] 姚晓静, 高义, 杜云艳, 等. 基于遥感技术的近30 a海南岛海岸线时空变化[J]. 自然资源学报, 2013, 28(1):114-125.
[12] 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.
[13] 刘百桥, 孟伟庆, 赵建华, 等. 中国大陆1990—2013年海岸线资源开发利用特征变化[J]. 自然资源学报, 2015, 30(12):2033-2044.
[14] 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.
[15] 王志成, 高志强, 尚伟涛, 等. 1987—2017年莱州湾沿岸土地利用变化及其对海岸线变化的影响[J]. 水土保持通报, 2021, 41(1):309-316,336.
[16] 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.
[17] 柏叶辉, 李洪忠, 李向新, 等. 1990年以来4个时期深圳市海岸线与海岸带景观格局及其对人类活动强度的响应[J]. 湿地科学, 2019, 17(3):335-343.
[18] 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.
[19] 苗苗, 谢小平. 基于GIS和RS的山东日照海岸带1988—2018年间演化分析[J]. 国土资源遥感, 2021, 33(2):237-247.doi:10.6046/gtzyyg.2020229.
[20] 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.
[21] 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.
[22] 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.
[23] 杨磊, 李加林, 袁麒翔, 等. 中国南方大陆海岸线时空变迁[J]. 海洋学研究, 2014, 32(3):42-49.
[24] 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.
[25] 张旭凯, 张霞, 杨邦会, 等. 结合海岸类型和潮位校正的海岸线遥感提取[J]. 国土资源遥感, 2013, 25(4):91-97.doi:10.6046/gtzyyg.2013.04.15.
[26] 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.
[27] 段秋亚, 孟令奎, 樊志伟, 等. GF-1卫星影像水体信息提取方法的适用性研究[J]. 国土资源遥感, 2015, 27(4):79-84.doi:10.6046/gtzyyg.2015.04.13.
[28] 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.
[29] 王彩艳, 王瑷玲, 王介勇, 等. 基于面向对象的海岸带土地利用信息提取研究[J]. 自然资源学报, 2014, 29(9):1589-1597.
[30] 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.
[31] 原晓慧, 王萍, 张英, 等. 基于边缘检测的海岸线自动提取研究[J]. 北京测绘, 2019, 33(2):148-152.
[32] 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.
[33] 张翔, 王霄鹏, 黄安齐, 等. 基于遥感影像提取山东半岛复杂海岸线及海岸线多年变迁研究[J]. 海洋湖沼通报, 2021, 43(2):171-181.
[34] 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.
[35] 吴琳娜, 杨胜天, 刘晓燕, 等. 1976年以来北洛河流域土地利用变化对人类活动程度的响应[J]. 地理学报, 2014, 69(1):54-63.
[36] 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.
[37] 陈浮, 陈刚, 包浩生, 等. 城市边缘区土地利用变化及人文驱动力机制研究[J]. 自然资源学报, 2001, 16(3):204-210.
[38] 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.
[39] 梁发超, 刘黎明. 景观格局的人类干扰度定量分析与生态功能区优化初探:以福建省闽清县为例[J]. 资源科学, 2011, 33(6):1138-1144.
[40] 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.
[41] 徐勇, 孙晓一, 汤青. 陆地表层人类活动强度:概念、方法及应用[J]. 地理学报, 2015, 70(7):1068-1079.
[42] 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.
[43] 李振鹏, 刘黎明, 谢花林. 乡村景观分类的方法探析:以北京市海淀区白家疃村为例[J]. 资源科学, 2005, 27(2):167-173.
[44] 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.
[45] 贾艳艳, 唐晓岚, 张卓然. 长江中下游流域自然保护地空间分布及其与人类活动强度关系研究[J]. 世界地理研究, 2020, 29(4):845-855.
[46] 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.
[47] 孙贵芹, 徐艳东, 林蕾, 等. 基于遥感和GIS的烟台芝罘湾海岸线变迁研究[J]. 海洋科学进展, 2020, 38(1):140-152.
[48] 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.
-
计量
- 文章访问数: 841
- PDF下载数: 186
- 施引文献: 0
下载: