东洞庭湖湿地异常枯水期水体变化初探

doi:10.3969/j.issn.1673-503X.2025.03.012

气象与环境学报 ›› 2025, Vol. 41 ›› Issue (3): 93-100.doi: 10.3969/j.issn.1673-503X.2025.03.012

• 论文 • 上一篇

东洞庭湖湿地异常枯水期水体变化初探

陈磊士^1,2, 韩沁哲^1,2, 范嘉智³, 何炳伟⁴, 李薇^1,2, 闫如柳^1,2

1. 湖南省气象科学研究所, 湖南长沙 410118;
2. 气象防灾减灾湖南省重点实验室, 湖南长沙 410118;
3. 中国气象局气象干部培训学院湖南分院, 湖南长沙 410125;
4. 湖南省临澧县气象局, 湖南临澧 415200

收稿日期:2023-05-30 修回日期:2023-07-13 发布日期:2025-09-29
通讯作者: 韩沁哲,女,高级工程师,E-mail:6665599@qq.com。 E-mail:6665599@qq.com
作者简介:陈磊士,男,1993年生,工程师,主要从事遥感解译应用研究,E-mail:leilei148@qq.com。
基金资助:
湖南省自然科学基金重大项目(2021JC0009)和湖南省自然科学基金联合项目(2023JJ60542)共同资助。

Preliminary study on water changes during abnormal drought in East Dongting Lake Wetland in summer 2022

CHEN Leishi^1,2, HAN Qinzhe^1,2, FAN Jiazhi³, HE Bingwei⁴, LI Wei^1,2, YAN Ruliu^1,2

1. Hunan Meteorological Research Institute, Changsha 410118, China;
2. Key Laboratory of Hunan Province for Meteorological Disaster Prevention and Mitigation, Changsha 410118, China;
3. China Meteorological Administration Training Centre Hunan Branch, Changsha 410125, China;
4. Meteorological Service of Linli County, Linli 415200, China

Received:2023-05-30 Revised:2023-07-13 Published:2025-09-29

摘要/Abstract

摘要： 2022年夏季长江流域的异常高温干旱对我国的自然环境造成了严重影响,东洞庭湖罕见地在8月4日进入枯水期,甚至出现了主湖体核心区域断流及连片湖床裸露情况。为了准确提取干旱期间东洞庭湖湿地水体时空变化信息,结合无人机采样结果和实地踏勘样本点对改进的归一化差异水体指数(Modified Normalized Difference Water Index,MNDWI)、自动水体提取指数(Automated Water Extraction Index,AWEI)和布谷鸟最大类间方差阈值(Cuckoo Search Otsu,CS-OTSU)法三类典型算法进行了精度评价。结果表明:CS-OTSU法的制图精度、用户精度、总体分类精度与Kappa系数均为最高值,且准确提取出了主湖体断流及湖床裸露情况。CS-OTSU法提取的2022年8月东洞庭湖湿地水体时空变化表明,当月水体面积均值较2021年同期降低71.58%,永久水体面积降低86.24%,月初至月末的东洞庭湖湿地水体面积缩小过半,干旱影响下的主洪道水体边界基本维持稳定,而主湖体核心区域成片干涸,反映了本次干旱对东洞庭湖湿地的严重影响。

关键词: 长江流域干旱, 水体提取, 水体变化, 东洞庭湖湿地

Abstract: In the summer of 2022,abnormal high temperatures and drought in the Yangtze River Basin severely impacted China's natural environment.On 4 August,Dongting Lake had already entered the dry season,with the continuous exposure of lake bed,and disconnection even in the core area of the main lake body.In order to accurately monitor the spatiotemporal changes in the water of the East Dongting Lake wetland during this drought period,UAV sampling data and field survey data were used to evaluate the accuracy of three typical algorithms:MNDWI,AWEI,and CS-OTSU.Experimental results indicate that the CS-OTSU algorithm shows the highest mapping accuracy,user accuracy,overall classification accuracy and Kappa coefficient.It can accurately extract the dry flow of the main lake body and the exposed lake bed.The spatiotemporal change results of East Dongting Lake wetland water in August 2022 extracted by the CS-OTSU method show that the average water area decreased by 71.58% compared with the same period in 2021.The permanent water area decreased by 86.24%.From the beginning to the end of the month,more than half of the water body of the East Dongting Lake wetland had shrunk.Despite remaining stable,the water body boundary of the main flood channel was reflecting the severe impact of drought.The core area of the main lake dried up entirely,indicating the severe impact of this drought on the East Dongting Lake wetland.

Key words: Drought over Yangtze River Basin, Water body extraction, Water body change, East Dongting Lake Wetland

中图分类号:

TP79

陈磊士, 韩沁哲, 范嘉智, 何炳伟, 李薇, 闫如柳. 东洞庭湖湿地异常枯水期水体变化初探[J]. 气象与环境学报, 2025, 41(3): 93-100.

CHEN Leishi, HAN Qinzhe, FAN Jiazhi, HE Bingwei, LI Wei, YAN Ruliu. Preliminary study on water changes during abnormal drought in East Dongting Lake Wetland in summer 2022[J]. Journal of Meteorology and Environment, 2025, 41(3): 93-100.

参考文献

[1] Su B D,Huang J L,Fischer T,et al.Drought losses in China might double between the 1.5 ℃ and 2.0 ℃warming[J].Proceedings of the National Academy of Sciences of the United States of America,2018,115(42):10600-10605.
[2] 胡轶伦,冀国旭,李积宏,等.IPCC AR6报告解读:陆地和淡水生态系统及其服务变化[J].气候变化研究进展,2022,18(4):395-404.
[3] 高琦,徐明.2019年长江中下游伏秋连旱的异常特征分析[J].气象与环境学报,2021,37(4):93-99.
[4] 张强.科学解读“2022年长江流域重大干旱”[J].干旱气象,2022,40(4):545-548.
[5] 夏智宏,刘敏,秦鹏程,等.2022年长江流域高温干旱过程及其影响评估[J].人民长江,2023,54(2):21-28.
[6] 张明波,熊丰,王栋.2022年长江流域汛期枯水情势分析[J].人民长江,2023,54(4):1-6,22.
[7] 拉巴,边多,顿玉多吉,等.1988—2018年那曲市其香错水域面积变化及原因分析[J].气象与环境学报,2021,37(5):72-77.
[8] McFeeters S K.The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features[J].International Journal of Remote Sensing,1996,17(7):1425-1432.
[9] 徐涵秋.利用改进的归一化差异水体指数(MNDWI)提取水体信息的研究[J].遥感学报,2005,9(5):589-595.
[10] Feyisa G L,Meilby H,Fensholt R,et al.Automated Water Extraction Index:a new technique for surface water mapping using Landsat imagery[J].Remote sensing of environment,2014,140:23-35.
[11] 李景刚,黄诗峰,李纪人.ENVISAT卫星先进合成孔径雷达数据水体提取研究——改进的最大类间方差阈值法[J].自然灾害学报,2010,19(3):139-145.
[12] 徐涵秋.水体遥感指数研究进展[J].福州大学学报(自然科学版),2021,49(5):613-625.
[13] 任超,刘桃林.针对水体提取的大津布谷鸟自适应阈值方法[J].测绘科学,2022,47(9):163-169,180.
[14] 袁玉洁.变化环境下洞庭湖水文情势的演变及湿地保护研究[D].长沙:湖南大学,2017.
[15] 杨波,廖丹霞,李京,等.东洞庭湖湿地生态系统健康状态与水位关系研究[J].长江流域资源与环境,2014,23(8):1145-1152.
[16] 王鸿翔,朱永卫,查胡飞,等.东洞庭湖湿地生态水位阈值研究[J].长江流域资源与环境,2021,30(9):2217-2226.
[17] Xun L,Zhang J H,Cao D,et al.A novel cotton mapping index combining Sentinel-1 SAR and Sentinel-2 multispectral imagery[J].ISPRS Journal of Photogrammetry and Remote Sensing,2021,181:148-166.
[18] Ji L,Zhang L,Wylie B.Analysis of dynamic thresholds for the normalized difference water index[J].Photogrammetric Engineering & Remote Sensing,2009,75(11):1307-1317.
[19] 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[J].国土资源遥感,2019,31(3):157-165.
[20] Otsu N.A threshold selection method from gray-level histograms[J].IEEE Transactions on Systems,Man,and Cybernetics,1979,9(1):62-66.
[21] Yang X S,Deb S.Engineering optimisation by cuckoo search[J].International Journal of Mathematical Modelling and Numerical Optimisation,2010,1(4):330-343.
[22] Rahaman J,Sing M.An efficient multilevel thresholding based satellite image segmentation approach using a new adaptive cuckoo search algorithm[J].Expert Systems with Applications,2021,174:114633.
[23] 周静,万荣荣,吴兴华,等.洞庭湖湿地植被长期格局变化(1987—2016年)及其对水文过程的响应[J].湖泊科学,2020,32(6):1723-1735.

东洞庭湖湿地异常枯水期水体变化初探

Preliminary study on water changes during abnormal drought in East Dongting Lake Wetland in summer 2022

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 5

Metrics

本文评价

推荐阅读 0

[1]	宋瑞,赵恒谦,于文颖,杨屹峰,李子涵. 基于多时相MODIS数据的黑龙江省大豆种植区识别与面积估算[J]. 气象与环境学报, 2024, 40(6): 89-97.
[2]	冯锐,纪瑞鹏,武晋雯,于文颖,刘丹,陈妮娜,王莹,张玉书. 基于FY3/MERSI数据的辽宁省植被指数重建及时空变化分析[J]. 气象与环境学报, 2022, 38(1): 65-73.
[3]	钟宇峰, 牛涛, 贾文贤, 崔云磊, 刘洪利, 邓博文, 崔洋, 吴门新. 阅海湿地芦苇NPP遥感估算及其时空变化分析[J]. 气象与环境学报, 2021, 37(6): 71-78.
[4]	吴刚哲;严金哲;任国玉;索南看卓. 朝鲜中西部地区春季植被覆盖度与气候因子的关系[J]. 气象与环境学报, 2018, 34(4): 112-118.
[5]	张兆永, 海米提-依米提 . 干旱区典型绿洲热场分布规律研究——以渭干河─库车河三角洲绿洲为例[J]. 气象与环境学报, 2011, 27(2): 32-38.