PDF(1084 KB)
PDF(1084 KB)
气候变暖背景下长江源区径流演变研究
A Study on the Evolution of Water Resource Characteristics in the Yangtze River Headwaters Region of the Qinghai-Tibet Plateau in the Context of Global Warming
长江源区作为“亚洲水塔”核心组成部分,其径流演变关乎长江流域水资源安全。全球变暖背景下,青藏高原冰川退缩、冻土退化与湖泊扩张正改变水源赋存形式与补给路径。基于1956—2022年源区4站观测数据,构建径流深对气温-降水的非线性回归模型,预测未来径流变化。结果表明:(1)源区升温速率达0.3℃/10 a,高于全球平均,呈“高海拔升温快于低海拔”的垂直分异;(2)降水量波动性增加(增幅29.7~145.5 mm),具年代际波动与海拔依赖性,低海拔区贡献主要水量增量,高海拔腹地贡献主要趋势增幅;(3)径流深随降水增加而增大,但受升温驱动的蒸散发增强与下垫面退化而被非线性抑制(R2=0.63,P<0.01);(4)未来在降水变幅±10%、升温0~3.0℃情景下,出山口径流深变幅约±15%,整体相对稳定,但升温2.0 ℃附近存在“融水增益”向“冰川亏竭”转换的关键阈值。研究深化了高寒流域水热耦合机制认识,为长江上游气候变化适应性水资源管理提供科学依据。
As a core component of the “Asian Water Tower” the Yangtze River headwaters region plays a strategic role in water security for the entire Yangtze River Basin. Under global warming, the hydroclimatic regime of the Qinghai-Tibet Plateau is undergoing profound restructuring, with glacier retreat, permafrost degradation, and lake expansion altering the storage forms and recharge pathways of water resources. Quantifying the climate-runoff coupling mechanism and projecting future trends are therefore urgently needed. Based on long-term observational data (1956-2022) from the Tuotuohe, Wudaoliang, Qumalai, and Zhimenda hydrological stations, this study systematically analyzes the spatiotemporal evolution characteristics of air temperature, precipitation, and runoff depth. A nonlinear regression model characterizing the synergistic response of runoff depth to temperature and precipitation was developed, and multi-scenario climate boundary conditions were designed to project future runoff changes. The results indicate that: (1) the warming rate in the source region reached 0.3℃/10 a, significantly exceeding the global average, with a clear vertical differentiation where high-elevation areas warmed faster than low-elevation valleys; (2) precipitation showed an overall fluctuating increasing trend (increase of 29.7-145.5 mm), yet exhibited pronounced inter-decadal variability and elevation dependency—low-elevation valley areas (Zhimenda) contributed the dominant share of water volume increase, whereas high-elevation hinterland stations (Tuotuohe and Wudaoliang) contributed the primary trend magnitude; (3) runoff depth increased with precipitation but was nonlinearly suppressed by rising temperatures through enhanced evapotranspiration and accelerated surface degradation, with the model achieving R2 = 0.63 (P < 0.01); and (4) under future scenarios featuring precipitation changes of ±10% and temperature rises of 0-3.0℃, the runoff depth at the mountain outlet (Zhimenda station) is projected to fluctuate within approximately ±15%, suggesting relative overall stability. However, a critical threshold near a 2.0℃ warming marks the transition from a “meltwater gain” phase to a “glacier depletion” phase, posing a threat to long-term water resource stability. This study advances the understanding of hydrothermal coupling mechanisms in alpine basins and provides a scientific basis for climate-adaptive water resource management in the upper Yangtze River.
长江源区 / 气候变暖 / 非线性回归模型 / 海拔梯度 / 水资源适应性管理
Yangtze River source region / Climate warming / Nonlinear regression model / elevation gradient / adaptive water resource management
| [1] |
IPCC. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change[Z].2013.
|
| [2] |
柏露, 姚宜斌, 雷祥旭, 张良. 近40年青藏高原地区地表温度的年际及季节性变化特征分析[J]. 测绘地理信息, 2018, 43(2): 15-18.
|
| [3] |
姚檀栋, 张太刚, 王伟财, 张国庆, 刘时银, 安宝晟. 亚洲水塔冰湖变化与冰湖溃决灾害风险及应对[J]. 地球科学进展, 2025, 40(3): 221-227.
|
| [4] |
|
| [5] |
|
| [6] |
徐祥德, 马耀明, 孙婵, 魏凤英. 青藏高原能量、水分循环影响效应[J]. 中国科学院院刊, 2019, 34(11): 1293-1305.
|
| [7] |
|
| [8] |
|
| [9] |
|
| [10] |
|
| [11] |
|
| [12] |
|
| [13] |
赵林, 胡国杰, 邹德富, 吴晓东, 马露, 孙哲, 原黎明, 周华云, 刘世博. 青藏高原多年冻土变化对水文过程的影响[J]. 中国科学院院刊, 2019, 34(11): 1233-1246.
|
| [14] |
|
| [15] |
曹辉, 陈柯兵, 董炳江. 基于Azure AutoML的泥沙预报模型构建与应用[J]. 人民长江, 2023, 54(4): 94-100.
|
| [16] |
|
| [17] |
|
| [18] |
|
| [19] |
|
| [20] |
康世昌, 郭万钦, 钟歆玥, 许民. 全球山地冰冻圈变化、影响与适应[J]. 气候变化研究进展, 2020, 16(02): 143-152.
|
| [21] |
|
| [22] |
罗玉, 秦宁生, 庞轶舒, 王春学, 刘佳, 李金建, 刘希胜. 气候变暖对长江源径流变化的影响分析--以沱沱河为例[J]. 冰川冻土, 2020, 42(3): 952-964.
|
| [23] |
蓝永超, 鲁承阳, 喇承芳, 沈永平, 金会军, 宋洁, 文军, 刘金鹏. 黄河源区气候向暖湿转变的观测事实及其水文响应[J]. 冰川冻土, 2013, 35(4): 920-928.
|
| [24] |
刘沣元, 魏加华, 张文倩. 黄河上游水源涵养能力模拟评估[J]. 生态学报, 2026, 19: 1-14.
|
| [25] |
|
| [26] |
|
| [27] |
魏莹, 段克勤. 1980-2016年青藏高原变暖时空特征及其可能影响原因[J]. 高原气象, 2020, 39(3): 459-466.
|
| [28] |
|
| [29] |
底阳平, 张扬建, 曾辉, 唐泽. “亚洲水塔”变化对青藏高原生态系统的影响[J]. 中国科学院院刊, 2019, 34(11): 1322-1331.
|
| [30] |
李淑萍, 侯威, 封泰晨. 近52年长江中下游地区夏季年代际尺度干湿变化及其环流演变分析[J]. 大气科学, 2015, 39(5): 885-900.
|
| [31] |
|
| [32] |
陈德亮, 徐柏青, 姚檀栋, 郭正堂, 崔鹏, 陈发虎, 张人禾, 张宪洲, 张镱锂, 樊杰, 侯增谦, 张天华. 青藏高原环境变化科学评估:过去、现在与未来[J]. 科学通报, 2015, 60(32): 3025-3035,3021-3022.
|
| [33] |
包文, 段安民, 游庆龙, 胡蝶. 青藏高原气候变化及其对水资源影响的研究进展[J]. 气候变化研究进展, 2024, 20(2): 158-169.
|
| [34] |
|
| [35] |
|
| [36] |
陈发虎, 丁林, 朴世龙, 周天军, 徐柏青, 姚檀栋, 李新. 亚洲环境变化引擎:青藏高原地球系统研究迈入新时代(英文)[J]. Science Bulletin, 2021, 66(13): 1263-1266.
|
| [37] |
|
/
| 〈 |
|
〉 |