洞庭湖汛期水位变化特征及其驱动因素分析

隆院男, 唐颖, 杨家亮, 莫军成, 宋昕熠

长江科学院院报 ›› 2024, Vol. 41 ›› Issue (12) : 15-22.

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长江科学院院报 ›› 2024, Vol. 41 ›› Issue (12) : 15-22. DOI: 10.11988/ckyyb.20230703
水资源

洞庭湖汛期水位变化特征及其驱动因素分析

作者信息 +

Characteristics and Driving Factors of Water Level Variation in Dongting Lake During Flood Season

Author information +
文章历史 +

摘要

洞庭湖位于长江中游,其水文特征变化对于长江中游具有重要影响。针对变化环境下洞庭湖汛期水位演变特征及驱动因素,通过分析东洞庭湖(城陵矶站)、西洞庭湖(南咀站)、南洞庭湖(杨柳潭站)汛期最低水位、汛期最高水位、汛期平均水位3类水位序列,采用Mann-Kendall方法和Pettitt法检验3类水位序列的变异情况,基于GAMLASS模型分析3类水位序列的频率变化特征,并运用累积量斜率变化率法量化气候变化和人类活动的贡献率,以全面分析洞庭湖汛期水位变化的驱动因素。结果表明: 同等设计频率下,3类水位序列的设计值均有不同程度的降低。此外,葛洲坝蓄水、下荆江裁弯和降水量增大是A2时期(1978—2002年)洞庭湖水位上升的主要原因;A3时期(2003—2022年),东洞庭湖同时受三峡水库蓄水、长江干流和三口四水来流的影响,出现水位下降趋势。西洞庭湖和南洞庭湖则主要受降水量减少的影响,来水量变小,从而引起水位下降。研究成果可为变化环境下洞庭湖区的防洪安全以及水资源利用提供参考。

Abstract

Dongting Lake is located in the middle reaches of the Yangtze River, and its hydrological characteristics have an important impact on the middle reaches of the Yangtze River. According to the evolution characteristics and driving factors of Dongting Lake water level in flood season under changing environment, this paper analyzes the lowest water level, highest water level and average water level of Dongting Lake in flood season in East Dongting Lake (Chenglingji Station), West Dongting Lake (Nanzui Station) and South Dongting Lake (Yangliutan Station). The Mann-Kendall method and Pettitt method were used to test the variation of the three types of water level series, the frequency change characteristics of the three types of water level series was analyzed based on the GAMLASS model, and the contribution rate of climate change and human activities was quantified by the cumulative slope change rate method, so as to comprehensively analyze the driving factors of water level change in Dongting Lake during flood season. The results show that under the same design frequency, the design values of the three kinds of water level series have different degrees of reduction. In addition, the water storage of Gezhouba, the bending of Lower Jingjiang River and the increase of precipitation were the main reasons for the rise of Dongting Lake water level during the A2 period (1978-2002). During A3 period (2003-2022), the water level of East Dongting Lake decreased due to the influence of the Three Gorges Reservoir, the main stream of the Yangtze River and the inflow of three mouths and four rivers. The West Dongting Lake and the South Dongting Lake are mainly affected by the decrease of precipitation, which leads to the decrease of incoming water volume and the decrease of water level. This study can provide reference for flood control safety and water resources utilization in Dongting Lake area under changing environment.

关键词

汛期最低水位 / 汛期最高水位 / 汛期平均水位 / 变异 / 气候变化 / 人类活动 / 洞庭湖

Key words

minimum water level in flood season / maximum water level in flood season / average water level in flood season / variation / climate change / human activities / Dongting Lake

引用本文

导出引用
隆院男, 唐颖, 杨家亮, . 洞庭湖汛期水位变化特征及其驱动因素分析[J]. 长江科学院院报. 2024, 41(12): 15-22 https://doi.org/10.11988/ckyyb.20230703
LONG Yuan-nan, TANG Ying, YANG Jia-liang, et al. Characteristics and Driving Factors of Water Level Variation in Dongting Lake During Flood Season[J]. Journal of Changjiang River Scientific Research Institute. 2024, 41(12): 15-22 https://doi.org/10.11988/ckyyb.20230703
中图分类号: P333   

参考文献

[1]
兰盈盈, 刘惠英. 非一致水文序列频率计算方法应用效果比较分析[J]. 人民长江, 2021, 52(10): 115-119.
(LAN Ying-ying, LIU Hui-ying. Comparison on Application Effects of Frequency Calculation Methods in Inconsistency Hydrological Series[J]. Yangtze River, 2021, 52(10): 115-119.) (in Chinese)
[2]
史璇, 肖伟华, 王勇, 等. 近50年洞庭湖水位总体变化特征及成因分析[J]. 南水北调与水利科技, 2012, 10(5):18-22.
(SHI Xuan, XIAO Wei-hua, WANG Yong, et al. Characteristics and Factors of Water Level Variations in the Dongting Lake during the Recent 50 Years[J]. South-to-North Water Diversion and Water Science & Technology, 2012, 10(5):18-22.) (in Chinese)
[3]
周蕾, 李景保, 汤祥明, 等. 近60 a来洞庭湖水位演变特征及其影响因素[J]. 冰川冻土, 2017, 39(3): 660-671.
摘要
基于1956-2015年洞庭湖主要控制站实测水文数据,运用Mann-Kendall检验法、主成分分析法对比分析了近60 a来洞庭湖东、南、西三个湖区水位演变特征及其影响因素。结果表明:从调弦口堵口至葛洲坝截流后,南咀和城陵矶站同流量下水位均升高,但南咀站平均水位受三口分流能力减弱而下降(0.03 m),城陵矶站平均水位受湖盆泥沙淤积和长江干流顶托作用而上升(1.33 m);三峡水库运行后,湖盆冲淤基本持平,湖泊同流量下水位基本不变,由于该时段长江流域整体为相对枯水期,因而与葛洲坝截流后相比湖泊年平均水位下降约0.31~0.58 m。近60 a来南咀站平均水位呈显著下降趋势(pp<0.01),说明湖泊水位影响因素作用存在空间异质性。洞庭湖年内水位存在涨(4-5月)~丰(6-9月)~退(10-11月)~枯(12月-次年3月)的变化特征,葛洲坝运行期丰水期水位上涨明显,三峡运行期各月水位均有下降,受水库调度方式影响7-10月水位降幅最大。洞庭湖流域降水量、四水入湖和出湖径流大小以及长江干流水情是洞庭湖水位变化的主要影响因素,三口来沙变异条件下的洞庭湖冲淤量变化是湖泊水位变化的次要因素。
(ZHOU Lei, LI Jing-bao, TANG Xiang-ming, et al. Dynamics of Water Level of Lake Dongting during the Past 60 Years and the Associated Driving Factors[J]. Journal of Glaciology and Geocryology, 2017, 39(3): 660-671.) (in Chinese)
The associated driving factors for the variations of the water level of Lake Dongting were investigated based on observed hydrological series from 1956 to 2015 for the major gauging stations in the Lake Dongting watershed. Our results indicated that:(1) After the curving cut-off of the lower Jingjiang River and the closure of the mainriver at Gezhouba, the contribution percentages of the discharge of Three Outlets to the total inflow discharge to Lake Dongting decreased, resulting in a decreased water level of Lake Dongting at Nanzui. The increase of draining capability of the lower Jingjiang River, together with the increased sediment deposition in Lake Dongting, resulted in increased water levels at Chenglingji. After the operation of the Three Gorges Reservoir (TGR), rainfall in the lake watershed decreased notably and sediment erosion rate overrode that of deposition rate, water levels in Lake Dongting drop 0.31~0.58 meters compared with that during the period after the closure of the main river at Gezhouba. (2) Water level in Nanzui during the past 60 years decreased significantly (<i>p</i><0.05), while water level at Chenglingji station showed a significant increasing trend (<i>p</i><0.05), indicating driving factors of water level have different impacts on different lake regions. (3) Water level of Lake Dongting rose in April-May, remained in high level in June-September, decreased in October-November, and remained in low level in December-March. During the period after the closure of the mainriver at Gezhouba, water level of Lake Dongting during flood period rose notably, and decreased during the post-TGR period, and this is especially pronounced during July-October owe to flood-storage dispatch of TGR. (4) The rainfall in the lake Dongting watershed, the runoff of the four rivers into Lake Dongting, and the discharge of Yangtze River have been the main driving forces of the water level variations of Lake Dongting during the past 60 years. The suspended sediment deposition rate in Dongting Lake basin, resulting from the runoff and sediment discharge of the Three Outlet, is a secondary factor of the long-term variations of water level of Lake Dongting.
[4]
郭文献, 金耀广, 王鸿翔, 等. 近60年以来洞庭湖水文情势变异及生态效应[J]. 应用基础与工程科学学报, 2023, 31(1): 24-37.
(GUO Wen-xian, JIN Yao-guang, WANG Hong-xiang, et al. Hydrological Regime Alteration and Ecological Effects of Dongting Lake during the Past 60 Years[J]. Journal of Basic Science and Engineering, 2023, 31(1): 24-37.) (in Chinese)
[5]
梁忠民, 胡义明, 王军. 非一致性水文频率分析的研究进展[J]. 水科学进展, 2011, 22(6): 864-871.
(LIANG Zhong-min, HU Yi-ming, WANG Jun. Advances in Hydrological Frequency Analysis of Non-stationary Time Series[J]. Advances in Water Science, 2011, 22(6): 864-871.) (in Chinese)
[6]
郝文龙, 宋弘东, 朱长军, 等. 变化环境下非一致性极端水文事件的模拟及预测[J]. 水电能源科学, 2022, 40(6): 58-62.
(HAO Wen-long, SONG Hong-dong, ZHU Chang-jun, et al. Simulation and Prediction of Nonstationary Extreme Hydrological Events under Changed Conditions[J]. Water Resources and Power, 2022, 40(6): 58-62.) (in Chinese)
[7]
吴绍飞, 罗文, 熊凡迪, 等. 鄱阳湖修河虬津水文站非一致性设计洪水研究[J]. 水资源与水工程学报, 2022, 33(3):20-26.
(WU Shao-fei, LUO Wen, XIONG Fan-di, et al. Non-stationary Design Flood Analysis of the Qiujin Hydrological Station in the Xiuhe River Basin, Poyang Lake[J]. Journal of Water Resources and Water Engineering, 2022, 33(3):20-26.) (in Chinese)
[8]
莫淑红, 李晨星, 邢华, 等. 基于GAMLSS模型的小理河流域年径流研究[J]. 应用基础与工程科学学报, 2022, 30(1): 40-49.
(MO Shu-hong, LI Chen-xing, XING Hua, et al. GAMLSS Model-based Analysis on Annual Runoff in Xiaoli River Basin[J]. Journal of Basic Science and Engineering, 2022, 30(1): 40-49.) (in Chinese)
[9]
龙云舒, 叶长青, 李运刚, 等. 基于时变矩模型的湄公河上游非一致性洪水频率分析[J]. 水资源与水工程学报, 2022, 33(4): 91-96.
(LONG Yun-shu, YE Chang-qing, LI Yun-gang, et al. Non-stationary Flood Frequency Analysis of the Upper Reaches of Mekong River Based on Time-varying Moment Model[J]. Journal of Water Resources and Water Engineering, 2022, 33(4): 91-96.) (in Chinese)
[10]
李永建, 郝文龙, 朱长军, 等. 基于GAMLSS模型的滹沱河径流分析[J]. 水电能源科学, 2023, 41(3): 14-18.
(LI Yong-jian, HAO Wen-long, ZHU Chang-jun, et al. Analysis of Runoff of Hutuo River Based on GAMLSS Model[J]. Water Resources and Power, 2023, 41(3): 14-18.) (in Chinese)
[11]
张悦. 基于混合分布的非一致性长江口潮位序列频率计算方法[J]. 水电能源科学, 2020, 38(8):26-28,78.
(ZHANG Yue. Hydrologic Frequency Calculating Methods of Inconsistent Tidal Level Series in Yangtze River Estuary Based on Mixed Distribution[J]. Water Resources and Power, 2020, 38(8):26-28,78.) (in Chinese)
[12]
宁迈进, 孙思瑞, 吴子怡, 等. 趋势变异条件下非一致性洪水频率计算方法的择优比较分析: 以洞庭湖区弥陀寺站为例[J]. 水文, 2019, 39(6): 14-19.
(NING Mai-jin, SUN Si-rui, WU Zi-yi, et al. Comparative Analysis of Inconsistent Hydrological Frequency Calculation Methods Based on Trend Alteration: Taking Mituosi Station in Dongting Lake Area as a Case[J]. Journal of China Hydrology, 2019, 39(6): 14-19.) (in Chinese)
[13]
倪韬, 孙颖娜, 王旻忆. 黄河花园口断面非一致性水文频率分析[J]. 甘肃水利水电技术, 2022, 58(9): 6-10.
(NI Tao, SUN Ying-na, WANG Min-yi. Analysis of Inconsistent Hydrological Frequency in Huayuankou Section of the Yellow River[J]. Gansu Water Resources and Hydropower Technology, 2022, 58(9): 6-10.) (in Chinese)
[14]
谢平, 陈广才, 陈丽. 变化环境下基于降雨径流关系的水资源评价[J]. 资源科学, 2009, 31(1): 69-74.
摘要
受气候变化和频繁人类活动的影响,用于水资源评价计算的年径流序列失去了一致性。本文针对非一致性年径流序列,提出基于降雨径流关系的水资源评价方法,推求过去、现在和未来各个时期变化环境下的地表水资源量。该方法假设非一致性年径流序列由相对一致的随机性成分和非一致的确定性成分两部分组成,采用水文变异综合诊断方法识别与检验年径流序列的变异点,并用变异前后降雨径流关系线之间的差值描述序列的确定性成分;根据时间序列分析的分解与合成理论,对年径流序列的随机性成分进行提取,采用有约束加权适线法对其进行频率计算;将确定性的预测值和随机性的设计值进行合成,得到过去、现在和未来不同时期年径流合成序列的频率分布。在无定河流域进行了实证,结果表明年径流量序列在1971年前后跳跃变异显著;多年平均地表水资源量在过去(1971年以前)、现在(2000年)和未来(2010年)3个时期的评价结果分别为:14.919×10<sup>8</sup>m<sup>3</sup>、10.622×10<sup>8</sup>m<sup>3</sup>、10.591×10<sup>8</sup>m<sup>3</sup>,未来与现在相比减少约0.3%,而未来与过去相比减小约29.0%,这种情形对无定河流域水资源的开发利用极为不利。
(XIE Ping, CHEN Guang-cai, CHEN Li. Assessment of Water Resources Based on Rainfall-runoff Relationship in Changing Environments[J]. Resources Science, 2009, 31(1): 69-74.) (in Chinese)
Due to the effects of changing climate and intensive human activity, water resource assessment based on annual runoff series has lost its consistency. To address this inconsistency, we propose an assessment method based on the rainfall-runoff relationship, which could be used to derive past, present, and future surface water resources in changing environments. With this method, on the assumption that inconsistent annual runoff series were composed of relatively consistent random components and inconsistent deterministic components, the alteration point of annual runoff series was first identified and tested using a comprehensive diagnosis of hydrologic alteration, and the deterministic component was described by the difference between rainfall-runoff relationship lines before and after the alteration point. Next, based on the theory of decomposition and composition in time series analysis, the random component was extracted and its frequency calculation was made using the constrained and weighted fitting method. Finally, the deterministic forecasting value and stochastic design value were synthesized, and the past and present as well as future frequency distributions of annual runoff series were derived. Wudinghe basin was used as a case study, and the results showed that the Wudinghe annual runoff series had a significant alteration point in 1971. The assessment results of long-term average surface water resources from past (before 1971), present (2000) and future (2010) were respectively 14.919, 10.622, and 10.591 per hundred million m3. The future surface water resources would decline by about 0.3% and 29% compared to present and past values, and this situation would put the development and utilization of water resources in Wudinghe basin at a serious disadvantage.
[15]
许斌, 邹大胜, 刘雁翼, 等. 1950—2022年鄱阳湖汛期最低水位演变分析[J]. 水利水电快报, 2023, 44(2):8-11.
(XU Bin, ZOU Da-sheng, LIU Yan-yi, et al. Alteration Analysis of Minimum Water Level in Flood Season of Poyang Lake from 1950 to 2022[J]. Express Water Resources & Hydropower Information, 2023, 44(2):8-11.) (in Chinese)
[16]
陈松生, 许全喜, 陈泽方. 乌江流域水沙变化特性及其原因分析[J]. 泥沙研究, 2008, 33(5):43-48.
(CHEN Song-sheng, XU Quan-xi, CHEN Ze-fang. Analysis on Variation Characteristics and Influencing Factors of Runoff and Sediment in the Wujiang River Basin[J]. Journal of Sediment Research, 2008, 33(5):43-48.) (in Chinese)
[17]
班璇, 朱碧莹, 舒鹏, 等. 汉江流域气象水文变化趋势及驱动力分析[J]. 长江流域资源与环境, 2018, 27(12): 2817-2829.
(BAN Xuan, ZHU Bi-ying, SHU Peng, et al. Trend and Driving Force of Climate and Hydrological Process in Hanjiang Basin[J]. Resources and Environment in the Yangtze Basin, 2018, 27(12): 2817-2829.) (in Chinese)
[18]
徐幸仪, 伍佑伦, 盛东, 等. 1960—2015年洞庭湖水资源演变特征分析[J]. 水资源与水工程学报, 2020, 31(4): 57-62.
(XU Xing-yi, WU You-lun, SHENG Dong, et al. Evolution Characteristics of Water Resources at Dongting Lake from 1960 to 2015[J]. Journal of Water Resources and Water Engineering, 2020, 31(4): 57-62.) (in Chinese)
[19]
MANN H B. Nonparametric Tests Against Trend[J]. Econometrica, 1945, 13(3): 245.
[20]
魏凤英. 现代气候统计诊断与预测技术[M]. 北京: 气象出版社, 1999.
(WEI Feng-ying. Modern Climate Statistical Diagnosis and Prediction Technology[M]. Beijing: China Meteorological Press, 1999.) (in Chinese)
[21]
STASINOPOULOS M D. Flexible Regression and Smoothing: Using GAMLSS in R[M]. New York: CRC Press, 2017.
[22]
王随继, 闫云霞, 颜明, 等. 皇甫川流域降水和人类活动对径流量变化的贡献率分析:累积量斜率变化率比较方法的提出及应用[J]. 地理学报, 2012, 67(3):388-397.
摘要
随着全球或区域气候的变化,加上渐强的人类活动的影响,世界上一些河流的径流量发生了明显减小的变化趋势,这在干旱及半干旱地区的河流中尤其明显。在我国,北方干旱及半干旱地区河流的径流量的减小已经引起了严峻的生活及生态方面的问题。因此查明流域径流量的变化特征、趋势及分析其原因,是流域管理中面临的重要科学问题。该研究以黄河中游一级支流皇甫川流域为例,利用1960-2008 年的数据资料,采用累积距平方法、年际累积量方法,分析了该流域径流量和降水量的变化趋势,识别出径流量变化过程中1979 和1998 为其两个突变年份,而降水量变化过程中仅存在唯一的突变年份1979。利用统计分析法分别分析了1960-1979、1980-1997 和1998-2008 三个时期的累积径流量与年份之间的线性关系,以及1960-1979、1980-2008 两个时期累积降水量与年份之间的线性关系。采用本文提出的新的计算方法——累积量斜率变化率比较方法,以1960-1979 为基准期,在不考虑蒸散总量的影响时,计算得出皇甫川流域径流量减小的降水量和人类活动的相对贡献率在1980-1997 年间分别为36.43%和63.57%,在1998-2008 年间分别为16.81%和83.19%。该研究结果揭示了皇甫川流域近半个世纪以来径流量的变化趋势及其主要影响因素的贡献率,对于该流域未来水资源的开发利用具有重要指导作用。同时,所提出的定量研究方法可以应用在干旱—半干旱地区河流径流量变化及其影响因素的定量评估中。
(WANG Sui-ji, YAN Yun-xia, YAN Ming, et al. Contributions of Precipitation and Human Activities to the Runoff Change of the Huangfuchuan Drainage Basin: Application of Comparative Method of the Slope Changing Ratio of Cumulative Quantity[J]. Acta Geographica Sinica, 2012, 67(3):388-397.) (in Chinese)
The runoff of some rivers in the world especially in the arid and semi-arid regions has decreased remarkably with global or regional climate change and intensive human activities. The runoff decrease in the arid and semi-arid areas of northern China has brought severe problems in livelihood and ecology. So, to reveal the changing characteristics, trends of runoff and their influencing factors have been an important scientific problem for drainage basin management. This study, taking the Huangfuchuan drainage basin as an example, analyzes the changing trends of the runoff and precipitation according to the measured data in 1960-2008. Two inflection points, 1979 and 1998, for the accumulative runoff, and one inflection point, 1979, for the accumulative precipitation, were identified according to the methods of accumulative anomaly analysis. The linear relationships between year and accumulative runoff in 1960-1979, 1980-1997 and 1998-2008 and between year and accumulative precipitation in 1960-1979 and 1980-2008 were fitted. Adopting the new method put forward in this study, we made a comparison of slope change ratio of the fitted beeline between year and accumulative quantity, and taking 1960-1979 as the base period, we obtained the contribution rates of the precipitation and human activities to the decreased runoff, which were 36.43% and 63.57% in 1980-1997, and 16.81% and 83.19% in 1998-2008, respectively. This study revealed the changing trend of runoff of the Huangfuchuan drainage basin during 1960-2008 and calculated the contribution ratio of the main influencing factors. It plays an important role in the drainage basin management in arid and semi-arid areas. Contemporarily, the new method of quantitative research can be applied in the quantitative evaluation of runoff change in the river basin of arid and semi-arid areas.
[23]
王彦君, 王随继, 苏腾. 降水和人类活动对松花江径流量变化的贡献率[J]. 自然资源学报, 2015, 30(2):304-314.
摘要
为了估算自然因素和人类活动对松花江流域径流量变化的相对影响程度,采用累积距平、有序聚类等方法,对松花江干流6 个水文站1955&mdash;2010 年径流量序列进行了分析,揭示了径流量变化过程中各站都存在3 个突变点及被其分割的4 个变化阶段。应用累积量斜率变化率比较方法,在不考虑蒸散影响时定量估算了不同阶段降水和人类活动对径流量的贡献率。结果表明:与基准期相比,之后三个时期降水对径流量的贡献率约为26%~35%、0.1%~10%和25%~43%,而人类活动对径流量的贡献率分别约为65%~74%、90%~99.9%和57%~75%。可见人类活动是松花江流域径流量变化最主要的影响因素。虽然在国内大多数流域仍在增强,但在松花江流域自1999年以来已明显小于之前两个时期,却仍然高于降水量的影响程度。
(WANG Yan-jun, WANG Sui-ji, SU Teng. Contributions of Precipitation and Human Activities to Runoff Change in the Songhua River Basin[J]. Journal of Natural Resources, 2015, 30(2):304-314.) (in Chinese)
<p>Water resource is now a serious problem around the world due to the impact of climate change and increasing human activities. There are serious concerns about the impacts of climate change on water resources.Water resource problem is particularly prominent in semi-arid and arid regions since the water resources and primarily runoff in these regions are highly sensitive to climate change; and a small change of climate variables may result in significant variation of hydrological cycle and subsequently change the regional water resource. With a channel of 2309 km and a basin of 5.57&times;10<sup>5</sup> km<sup>2</sup>, the Songhua River is located in the northeast of China where the latitude is high and the climate is cold. Natural runoff as the main source of surface water plays an important role in agricultural irrigation, socio-economic development, hydropower generation, wetland recharge and local eco-environmental conservation in the ba-sin. However, the runoff in the whole river basin has experienced dramatic change in the last decades. It is necessary to study the trend of the runoff change and to quantify the influencing factors of the runoff change on different spatial scales. Based on annually observed hydrological data at six gauge stations on the Songhua River mainstream and annual precipitation at 62 meteorological station in and around the Songhua river basin, the changes of annual runoff and the contributions of the major influencing factors to them during the period 1955-2010 were analyzed. First, the cumulative anomaly and sequential cluster were used to detect the abrupt changes of each runoff series. Three inflexion years were detected that divided the entire time period into four periods (increasing-decreasing-increasing-decreasing) for each gauge station. Without considering the effect of evapotranspiration, the slope change ratio of cumulative quantity (SCRCQ) was adopted to estimate the impacts of precipitation and human activities. The result shows that the contribution of precipitation was 26%-35%, 0.1%-10% and 25%-43%, respectively, while that of human activities was 65%-74%, 90%-99.9% and 57%-75% respectively for the different periods compared with the baseline period. It is obvious that the human activities are the most important factor to runoff change. While the impact of human activities on runoff change is still increasing in most basins of china, that of the 4th period in the Songhua River basin was less than the 3th periods. However, the effect of human impacts was still greater than that of precipitation. Considering the severe stress of water resource, anthropogenic impact on runoff changes should be given more attention in future.</p>
[24]
陈淑芳. 湘江径流泥沙变异规律及其对气候变化与人类活动的响应研究[D]. 长沙: 湖南师范大学, 2016.
(CHEN Shu-fang. Study on Variation Law of Runoff and Sediment in Xiangjiang River and Its Response to Climate Change and Human Activities[D]. Changsha: Hunan Normal University, 2016.) (in Chinese)
[25]
尹辉, 杨波, 蒋忠诚, 等. 近60年洞庭湖泊形态与水沙过程的互动响应[J]. 地理研究, 2012, 31(3):471-483.
(YIN Hui, YANG Bo, JIANG Zhong-cheng, et al. Mutual Effects between Morphological Characteristics and Variations of Flow-sediment Process of Dongting Lake during 1951-2009[J]. Geographical Research, 2012, 31(3):471-483.) (in Chinese)
[26]
李莹, 高歌, 叶殿秀, 等. 2011年中国气候概况[J]. 气象, 2012, 38(4): 464-471.
(LI Ying, GAO Ge, YE Dian-xiu, et al. Climatic Characters over China in 2011[J]. Meteorological Monthly, 2012, 38(4):464-471.) (in Chinese)
[27]
朱博渊, 徐琪, 朱玲玲, 等. 1955年以来入洞庭湖的荆江三口分流变化[J]. 湖泊科学, 2023, 35(5):1832-1844.
(ZHU Bo-yuan, XU Qi, ZHU Ling-ling, et al. Variations in Water Diversion at Three Outlets to Lake Dongting from Jingjiang River Based on the Identification of Multiple Factor Contributions since 1955[J]. Journal of Lake Sciences,2023, 35(5):1832-1844.) (in Chinese)
[28]
丛振涛, 肖鹏, 章诞武, 等. 三峡工程运行前后城陵矶水位变化及其原因分析[J]. 水力发电学报, 2014, 33(3): 23-28.
(CONG Zhen-tao, XIAO Peng, ZHANG Dan-wu, et al. Water Stage at Chenglingji before and after the Three Gorges Project[J]. Journal of Hydroelectric Engineering, 2014, 33(3): 23-28.) (in Chinese)

基金

国家自然科学基金面上项目(52079010)
湖南省重点研发计划项目(2020SK2130)
湖南省研究生科研创新项目(CX20230890)

编辑: 王 慰
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