2003-2023年内蒙古浑善达克沙地湖泊动态及气候驱动分析
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1.内蒙古农业大学水利与土木建筑工程学院;2.内蒙古自治区水文水资源中心

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基金项目:

内蒙古自治区科技计划项目(2025YFDZ0008)、国家自然科学基金项目(U2544201)、内蒙古自治区自然科学基金项目(2024ZD08,2025YQ029)、内蒙古自治区水利科技项目(NSK202405)、内蒙古自治区高校创新研究团队计划项目(NMGIRT2313)和“草原英才” 创新团队项目


Analysis of Lake Dynamics and Climate Drivers in the Hunshandake Sandy Land,Inner Mongolia (2003-2023)
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College of Water Conservancy and Civil Engineering, Inner Mongolia Agricultural University

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    摘要:

    干旱区湖泊是流域生态与环境变化的关键指示器,对维持区域水循环平衡与生态系统稳定性发挥重要的水文生态功能。本文以中国北方干旱化显著、生态脆弱的气候敏感区——浑善达克沙地为研究对象,开展了沙地湖泊动态与气候响应研究。通过融合Landsat、Sentinel以及Global Surface Water(GSW)、Global Land Analysis and Discovery(GLAD)等多源数据,利用水体指数法、水体分类增强法与随机森林分类算法提取水体面积,并结合水位-面积关系与体积-面积经验曲线计算蓄水量变化。基于上述方法,探究了浑善达克沙地2003-2023年月度与年度湖泊(>0.01km2)的面积与蓄水量变化,并分析了相关气候影响因素。结果显示,在年内尺度上,沙地湖泊呈显著季节性波动,5-10月表现为单峰变化趋势。在年际尺度上,近21年湖泊群整体呈持续退化趋势,2023年总面积较2003年减少了37.17%。湖泊数量由1198减少至466,总体以小型浅水湖数量减少与干涸为主。在区域气候干旱条件下,8%的永久性水体向季节性水体转化,86%的季节性水体出现阶段性干涸。蓄水量整体呈下降趋势,净蓄水量变化率为-0.005km3·yr-1,大中型湖泊(≥1km2)贡献了60%的蓄水损失。气候驱动机制表明,降水、饱和水汽压差(VPD)与气温在0-2个月内对湖泊动态存在分布滞后,其中降水与VPD的滞后峰值均为1个月。VPD是年度与月度水体面积的主要负向影响因子。降水主导季节性水体面积的年际调控,并与潜在蒸散发(ET)共同正向驱动月度波动。气温通过增加VPD与蒸散需求间接影响湖泊动态。本文从区域尺度揭示了气候变化下干旱区湖泊的响应机制与时空异质性,可以为生态脆弱区的水资源适应性管理提供数据支持。

    Abstract:

    Arid-zone lakes serve as key indicators of watershed ecological and environmental changes, playing vital hydrological and ecological roles in maintaining regional water-cycle balance and ecosystem stability. This study examines lake dynamics and their climatic responses in the Hunshandake Sandy Land, a climate-sensitive region in northern China characterized by pronounced aridification and ecological fragility. By integrating multi-source datasets including Landsat, Sentinel, Global Surface Water (GSW), and Global Land Analysis and Discovery (GLAD), water extent was mapped applying the water-index method, water classification enhancement approach, and random-forest classification. Changes in water storage were estimated by combining stage-area relationships and volume-area empirical curves. Based on these methods, we quantified monthly and annual changes in lake area (>0.01 km2) and water storage from 2003 to 2023, while analyzing relevant meteorological factors. Results indicate significant intra-annual seasonality, exhibiting a single-peak trend in lake extent from May to October. At the interannual scale, the lake system has undergone persistent degradation trend over the 21-year record. Total lake area had decreased by 37.17% compared to 2003. The number of lakes declined from 1,198 to 466, primarily driven by losses of small, shallow lakes and widespread drying. Under regional climatic aridity conditions, 8% of formerly permanent water bodies converted to seasonal status, while 86% of seasonal water bodies experienced episodic drying. Net water storage decreased at a rate of -0.005 km3·yr?1, with medium-to-large lakes (≥1km2) accounting for 60% of the storage loss. Climate-driven mechanisms indicate that precipitation, vapor pressure deficit (VPD), and air temperature exhibit spatiotemporal lags of 0-2 months, with precipitation and VPD both peaking at a 1-month lag. VPD emerges as primary negative factor influencing annual and monthly water body area, while precipitation dominates the interannual regulation of seasonal water body area and, jointly governs positively monthly fluctuations with potential evapotranspiration (ET). Temperature indirectly affects lake dynamics by increasing the VPD and evapotranspiration demand. This regional-scale study elucidates the response mechanisms and spatiotemporal heterogeneity of arid-region lakes under climate change, providing data support for adaptive water-resource management in ecologically fragile areas.

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  • 收稿日期:2025-09-30
  • 最后修改日期:2026-01-29
  • 录用日期:2026-02-27
  • 在线发布日期: 2026-05-20
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