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中国湖泊表面积时空变化特征及其对降水、气温的响应

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[目的]研究自然湖泊表面积的特征及背后的驱动力机制,有助于生态保护、气候变化应对、水资源管理和环境影响评估。[方法]基于由Sentinel-1 卫星获取的37 个月湖泊表面积数据及相应的降水、气温数据,以最大值、最小值、变异系数、斜率、振幅等十个特征参数,分析中国湖泊变化的中心趋势、离散程度、分布形态等特征,以相关系数及显著性作为判别指标,分析中国湖泊表面积对降水、气温的响应特征。[结果]结果表明:北方内陆和新疆的湖泊面积较大,平均表面积高达20。56 km2,且月表面积振幅大,东南沿海诸河流域湖泊面积整体较小,平均表面积仅为1。35 km2;在湖泊表面积空间变化特征方面,东北诸江流域湖泊的月表面积CV平均值高达54。92%,变异性极高,淮河流域和珠江流域的湖泊表面积呈下降趋势,其余流域呈微弱上升趋势,其中北方内陆及新疆诸河流域上升趋势最显著,斜率为0。0044。不同湖泊体量表面积敏感性存在差异,小型湖泊更易发生面积变化,小湖泊(0~1 km2)的CV平均值达67。91%,大型湖泊(>1000 km2)的表面积变化斜率最大为0。35;北方内陆及新疆诸河流域和西南国际河流流域的湖泊对气温变化显示出较高的敏感性,西南国际河流流域的湖泊对降水增加敏感,淮河流域展现了与降水负相关的湖泊比例较大为63%,气温对湖泊表面积的影响普遍比降水更显著。[结论]中国湖泊表面积变化具有多样性和复杂性,未来研究应进一步探讨湖泊变化的长期趋势及其生态、经济影响,以更全面地理解湖泊作为地球系统组成部分的角色和重要性。
Spatiotemporal variations of lake surface area in China and its response characteristics to precipitation and temperature
[Objective]The exploration is aimed at understanding the characteristics of the surface area of natural lakes as an indispensable part of the Earth′s system and the mechanisms driving these characteristics.[Methods]The analysis was con-ducted based on lake surface area data over 37 months obtained from the Sentinel-1 satellite,along with corresponding precipi-tation and temperature data.Ten characteristic parameters including maximum values,minimum values,coefficients of varia-tion,slopes,and amplitudes were utilized to analyze the central tendency,dispersion,and distribution shape of lake changes in China.Correlation coefficients and significance were used as criteria to analyze the response features of lake surface area in China to precipitation and temperature.[Results]It was shown that the lake areas in the inland north and Xinjiang are larger,with an average surface area reaching 20.56 km2 and a large amplitude in monthly surface area,whereas the lakes in the south-eastern coastal river basins are generally smaller,with an average surface area of only 1.35 km2.In terms of the spatial varia-tion characteristics of lake surface area,the average coefficient of variation(CV)of monthly surface area for lakes in the river basins of Northeast China reached 54.92%,indicating extremely high variability.The lake surface areas in the Huai River basin and the Pearl River basin showed a declining trend,while other basins showed a slight upward trend,with the most sig-nificant upward trend observed in the inland north and Xinjiang river basins,where the slope was 0.004 4.Sensitivity to sur-face area changes varied among lakes of different sizes,with smaller lakes more prone to changes in area;the average CV for small lakes(~1 km2)reached 67.91%,while the greatest slope of surface area change for large lakes(>1 000 km2)was 0.35.Lakes in the inland north and Xinjiang river basins and the international river basins of the Southwest showed higher sen-sitivity to temperature changes.Lakes in the international river basins of the Southwest were sensitive to increases in precipitati-on,and a larger proportion of lakes in the Huai River basin,amounting to 63%,showed a negative correlation with precipitati-on.The impact of temperature on lake surface area was generally more significant than that of precipitation.[Conclusion]The variations in the surface area of lakes in China are diverse and complex,with geographic and climatic differences across differ-ent basins leading to variations in the climate impact on lake surface area.Future research should further explore the long-term trends of lake changes and their ecological and economic impacts to more comprehensively understand the role and importance of lakes as part of the Earth′s system.

lakessurface areacharacteristicstemperatureprecipitationclimate changeenvironmental impact assessmentspatiotemporal distribution

王晓、王宏宇、唐莉、许晓春

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山西水利职业技术学院,山西 太原 030032

湖北省交通规划设计院股份有限公司,湖北 武汉 430051

太原理工大学,山西 太原 030032

清华珠三角研究院,广东 广州 510530

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湖泊 表面积 特征 气温 降水 气候变化 环境影响评估 时空分布

2024

水利水电技术(中英文)
水利部发展研究中心

水利水电技术(中英文)

CSTPCD北大核心
影响因子:0.456
ISSN:1000-0860
年,卷(期):2024.55(10)