Spatial and temporal dynamics of large natural lake areas and shoreline morphology in the Yellow River Basin

doi:10.13287/j.1001-9332.202304.019

Abstract

Abstract: Given their important roles in the regulation and storage functions for river flow and in the regional ecological environment and ecosystem services, natural lakes are essential for the ecological protection and high-quality development of the Yellow River Basin. We used the Landsat TM/OLI remote sensing data to analyze the area changes of Dongping Lake, Gyaring Lake, and Ngoring Lake, three representative large natural lakes in the Yellow River Basin from 1990 to 2020. We used the landscape ecology approach to study the morphological characteristics of lake shoreline and shoreland changes and the relationship between the landscape indices. The results showed that the main areas of Gyaring Lake and Ngoring Lake were mainly in the trend of expansion, while the main area of Dongping Lake significantly reduced during 1990-2000 and 2010-2020. The changes in the area of lake all occurred mainly near the lake inlet of the river. The shoreline morphology of Dongping Lake was more complex, with the fragmentation and aggregation of shoreland landscape significantly changed. The circularity ratio of Gyaring Lake gradually decreased with the expansion of the lake area, and the number of patches in its shoreland changed significantly. The fractal dimension index-mean of the shoreland of Ngoring Lake was relatively high, the complexity of its shoreline landscape was stronger, and the number of patches had increased significantly from 2000 to 2010. Meanwhile, there was a significant correlation between certain lake shoreline (shoreland) landscape indices. The changes in circularity ratio and shoreline development coefficient caused changes in the patch density of shoreland.

Key words: Yellow River Basin, lake area, lake morphology, lake shoreline, remote sensing monitoring

QU Zhi, LUO Manya, ZHAO Yonghua, YANG Shuyuan, HAN Lei, MU Qi. Spatial and temporal dynamics of large natural lake areas and shoreline morphology in the Yellow River Basin[J]. Chinese Journal of Applied Ecology, 2023, 34(4): 1102-1108.

References 48

[1]	彭保发, 陈哲夫, 李建辉, 等. 基于GF-1影像的洞庭湖区水体水质遥感监测. 地理研究, 2018, 37(9): 1683-1691
[2]	王哲, 刘凯, 詹鹏飞, 等. 近三十年青藏高原内流区湖泊岸线形态的时空演变. 地理研究, 2022, 41(4): 980-996
[3]	Quincey DJ, Richardson SD, Luckman A, et al. Early recognition of glacial lake hazards in the Himalaya using remote sensing datasets. Global and Planetary Change, 2007, 56: 137-152
[4]	Brezonik P, Menken KD, Bauer M. Landsat-based remote sensing of lake water quality characteristics, including chlorophyll and colored dissolved organic matter (CDOM). Lake and Reservoir Management, 2005, 21: 373-382
[5]	Tyler AN, Svab E, Preston T, et al. Remote sensing of the water quality of shallow lakes: A mixture modelling approach to quantifying phytoplankton in water characterized by high-suspended sediment. International Journal of Remote Sensing, 2006, 27: 1521-1537
[6]	Crétaux JF, Arsen A, Calmant S, et al. SOLS: A lake database to monitor in the near real time water level and storage variations from remote sensing data. Advances in Space Research, 2011, 47: 1497-1507
[7]	Huang S, Dahal D, Young C, et al. Integration of Pal-mer drought severity index and remote sensing data to simulate wetland water surface from 1910 to 2009 in Cottonwood Lake area, North Dakota. Remote Sensing of Environment, 2011, 115: 3377-3389
[8]	Deus D, Gloaguen R. Remote sensing analysis of lake dynamics in semi-arid regions: Implication for water resource management. Lake Manyara, East African Rift, Northern Tanzania. Water, 2013, 5: 698-727
[9]	Liu W, Chen X, Ran J, et al. LaeNet: A novel lightweight multitask CNN for automatically extracting lake area and shoreline from remote sensing images. Remote Sensing, 2020, 13: 56
[10]	Soltani K, Amiri A, Zeynoddin M, et al. Forecasting monthly fluctuations of lake surface areas using remote sensing techniques and novel machine learning methods. Theoretical and Applied Climatology, 2021, 143: 713-735
[11]	濮静娟, 王长耀. 利用卫星遥感资料研究河口三角洲、湖泊的动态. 地理学报, 1979, 34(1): 43-54
[12]	肖茜, 杨昆, 洪亮. 近30a云贵高原湖泊表面水体面积变化遥感监测与时空分析. 湖泊科学, 2018, 30(4): 1083-1096
[13]	李浩杰, 种丹, 范硕, 等. 近三十年云南九大高原湖泊水面面积遥感变化监测. 长江流域资源与环境, 2016, 25(增刊1): 32-37
[14]	刘蕾, 臧淑英, 邵田田, 等. 基于遥感与GIS的中国湖泊形态分析. 国土资源遥感, 2015, 27(3): 92-98
[15]	马荣华, 唐军武, 段洪涛, 等. 湖泊水色遥感研究进展. 湖泊科学, 2009, 21(2): 143-158
[16]	刘堂友, 匡定波, 尹球. 湖泊藻类叶绿素-a和悬浮物浓度的高光谱定量遥感模型研究. 红外与毫米波学报, 2004, 23(1): 11-15
[17]	于瑞宏, 刘廷玺, 李畅游, 等. 干旱区草型湖泊悬浮固体浓度及水深的遥感与分析. 水利学报, 2005, 36(7): 853-862
[18]	冯驰, 金琦, 王艳楠, 等. 基于GOCI影像和水体光学分类的内陆湖泊叶绿素a浓度遥感估算. 环境科学, 2015, 36(5): 1557-1564
[19]	朱金峰, 王乃昂, 李卓仑, 等. 巴丹吉林沙漠湖泊季节变化的遥感监测. 湖泊科学, 2011, 23(4): 657-664
[20]	李辉, 李长安, 张利华, 等. 基于MODIS影像的鄱阳湖湖面积与水位关系研究. 第四纪研究, 2008, 28(2): 332-337
[21]	白洁, 陈曦, 李均力, 等. 1975—2007年中亚干旱区内陆湖泊面积变化遥感分析. 湖泊科学, 2011, 23(1): 80-88
[22]	德吉央宗, 白玛仁增, 白玛央宗, 等. 近40a藏西北鲁玛江冬错湖面变化的多源卫星遥感监测. 高原山地气象研究, 2022, 42(1): 85-89
[23]	马荣华, 杨桂山, 段洪涛, 等. 中国湖泊的数量、面积与空间分布. 中国科学: 地球科学, 2011, 41(3): 394-401
[24]	颜长珍, 李森, 逯军峰, 等. 1975—2015年腾格里沙漠湖泊面积与数量. 中国沙漠, 2020, 40(4): 183-189
[25]	万玮, 肖鹏峰, 冯学智, 等. 卫星遥感监测近30年来青藏高原湖泊变化. 科学通报, 2014, 59(8): 701-714
[26]	耿晓庆, 胡兆民, 赵霞, 等. 内蒙古呼伦贝尔草原湖泊变化研究. 干旱区地理, 2021, 44(2): 400-408
[27]	潘文斌, 黎道丰, 唐涛, 等. 湖泊岸线分形特征及其生态学意义. 生态学报, 2003, 23(12): 2728-2735
[28]	帅红, 李景保, 夏北成, 等. 基于形态结构特征的洞庭湖湖泊健康评价. 生态学报, 2012, 32(8): 2588-2595
[29]	赵力强, 张律吕, 王乃昂, 等. 巴丹吉林沙漠湖泊形态初步研究. 干旱区研究, 2018, 35(5): 1001-1011
[30]	王红娟, 姜加虎, 李新国. 岱海湖泊岸线形态变化研究. 长江流域资源与环境, 2006, 15(5): 674-677
[31]	张凤太, 王腊春, 冷辉, 等. 近40年江苏省湖泊形态特征动态变化研究. 灌溉排水学报, 2012, 31(5): 103-107
[32]	李新国, 江南, 王红娟, 等. 近30年来太湖流域湖泊岸线形态动态变化. 湖泊科学, 2005, 17(4): 294-298
[33]	陈昆仑, 齐漫, 王旭, 等. 1995—2015年武汉城市湖泊景观生态安全格局演化. 生态学报, 2019, 39(5): 1725-1734
[34]	彭建, 王仰麟, 刘松, 等. 海岸带土地持续利用景观生态评价. 地理学报, 2003, 58(3): 363-371
[35]	元冰瑜, 高建华, 池源, 等. 1990—2020年江苏省海岸带景观生态状况指数跨尺度时空特征. 应用生态学报, 2022, 33(2): 489-499
[36]	卫新东, 张健, 王筛妮, 等. 黄河流域2000—2020年生态用地格局变化与分异趋势. 生态学杂志, 2021, 40(11): 3424-3435
[37]	王司阳, 张笑欣, 田世民, 等. 黄河流域干旱区湖泊冰封期浮游植物群落结构特征及影响因子研究. 水利学报, 2020, 51(9): 1070-1079
[38]	梁超. 近18年来黄河流域地表水体时空变化与降水影响分析. 硕士论文. 开封: 河南大学, 2020
[39]	陆大道, 孙东琪. 黄河流域的综合治理与可持续发展. 地理学报, 2019, 74(12): 2431-2436
[40]	任燕, 郑昭佩. 东平湖生态系统服务功能价值评估. 水土保持研究, 2007, 14(3): 131-133
[41]	张博, 秦其明, 孙永军, 等. 扎陵湖鄂陵湖近三十年变化的遥感监测与分析. 测绘科学, 2010, 35(4): 54-56
[42]	李小建, 文玉钊, 李元征, 等. 黄河流域高质量发展:人地协调与空间协调. 经济地理, 2020, 40(4): 1-10
[43]	李瑞芬. 基于遥感的黄河干流大型湖库水体面积与植被变化研究. 硕士论文. 郑州: 郑州大学, 2016
[44]	刘延龙, 张保华, 姚昕, 等. 东平湖水体透明度的遥感反演研究. 测绘科学, 2018, 43(7): 72-78
[45]	徐新良, 刘纪远, 邵全琴, 等. 30年来青海三江源生态系统格局和空间结构动态变化. 地理研究, 2008, 27(4): 829-838
[46]	王大钊, 王思梦, 黄昌. Sentinel-2和Landsat8影像的四种常用水体指数地表水体提取对比. 国土资源遥感, 2019, 31(3): 157-165
[47]	徐涵秋. 从增强型水体指数分析遥感水体指数的创建. 地球信息科学, 2008, 10(6): 6776-6780
[48]	刘希朝, 李效顺, 蒋冬梅. 基于土地利用变化的黄河流域景观格局及生态风险评估. 农业工程学报, 2021, 37(4): 265-274