白洋淀流域径流过程对极端气象干旱的响应分析

李苗; 严思睿; 刘强; 张军龙; 袁晓敏

doi:10.13205/j.hjgc.202010003

白洋淀流域径流过程对极端气象干旱的响应分析

doi: 10.13205/j.hjgc.202010003

李苗^1,2,
严思睿^1,2,
刘强^1,2, ,,
张军龙³,
袁晓敏^1,2

1. 北京师范大学环境学院水环境模拟国家重点实验室, 北京 100875;
2. 北京师范大学环境学院教育部水沙科学重点实验室, 北京 100875;
3. 山东师范大学地理与环境学院, 济南 250358

基金项目:

国家重点研发计划项目（2017YFC0404505）；水体污染控制与治理科技重大专项（2018ZX07110001）；国家自然科学基金项目（51579008）；北京市科技计划课题（217300011）。

详细信息

作者简介:
李苗(1997-),女,硕士研究生,主要研究方向为生态水文学。

通讯作者:
刘强(1978-),男,副教授,主要研究方向为生态水文学。liuqiang@bnu.edu.cn

计量
- 文章访问数: 278
- HTML全文浏览量: 55
- PDF下载量: 18
- 被引次数: 0
出版历程
- 收稿日期: 2020-05-20

ANALYSIS ON STREAMFLOW PROCESSES RESPONSE TO EXTREME METEOROLOGICAL DROUGHT IN THE BAIYANGDIAN BASIN, CHINA

LI Miao^1,2,
YAN Si-rui^1,2,
LIU Qiang^{1,2
, ,},
ZHANG Jun-long³,
YUAN Xiao-min^1,2

1. State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China;
2. Key Laboratory for Water and Sediment Sciences, Ministry of Education, School of Environment, Beijing Normal University, Beijing 100875, China;
3. School of Geography and Environment, Shandong Normal University, Jinan 250358, China

摘要

摘要: 以白洋淀流域为研究对象，选取唐河、沙河、白沟引河3条支流上游4个水文站1959—2016年的日径流数据，采用改进退水常数后的数字滤波法中的Chapman-Maxwell法对4个子流域的日径流进行基流分割，利用水文气象要素异常值法划分干旱时期，分析水文干旱（径流干旱与基流干旱）对极端气象干旱过程的响应规律。结果表明：1）白洋淀年降水量呈减少趋势，线性倾向率为1.81 mm/a²。在1979年发生减少突变，突变后降水量减少8%；并检测到白洋淀流域发生极端气象干旱，持续时间从1996年8月至2011年5月；2）4个子流域的水文干旱较气象干旱具有明显的时间滞后，且水文干旱持续时间比气象干旱更长，烈度、强度更大，表明长期干旱期间降雨-径流关系的不稳定性；3）4个子流域水文恢复时间较气象恢复平均滞后55个月，且基流恢复滞后于径流恢复。研究结果可加深径流与基流对气候变化的响应的理解，为核算河道生态需水以及维持河道生态系统健康提供一定理论依据和实践参照。
- Chapman-Maxwell法 /
- 极端气象干旱 /
- 水文干旱 /
- 白洋淀流域
Abstract: Using the digital filtering method with the improved regression constant-Chapman-Maxwell, the baseflow was separated from daily streamflow in the four hydrological stations in the Baiyangdian Basin. Monthly anomalies of three specific hydrometeorological variables (precipitation, streamflow, and baseflow) were used to analyze the hydrological drought response (runoff drought and baseflow drought) to extreme meteorological drought process. The results showed that: 1) annual precipitation in the Baiyangdian Basin presented decreasing trends with a rate of 1.81 mm/a, and a downward abrupt change was found around 1979, which resulted in about 8% of precipitation decrease. Consistent with the decreasing trend in precipitation, an extreme meteorological drought was also detected, and ranged from August 1996 to May 2011; 2)hydrological drought, resulting from meteorological drought, exhibited a time lag and had a longer drought duration and greater drought intensity, suggesting a nonstationarity in the rainfall-runoff relationship during a prolonged drought; 3)hydrological recovery lagged behind meteorological recovery by about an average of 55 months, and baseflow recovery lagged the runoff recovery. All of these results can help to understand the hydrological response to climate change better, and provide certain theoretical and practical references for calculating river ecological water demand and maintaining river ecosystem health.
- Chapman-Maxwell method /
- extreme meteorological drought /
- hydrological drought /
- the Baiyangdian Basin

HTML全文

参考文献(32)

YANG Y, MCVICAR T R, DONOHUE R J, et al. Lags in hydrologic recovery following an extreme drought:assessing the roles of climate and catchment characteristics[J]. Water Resour, 2017:4821-4837.

MARGARET P, ALBERT R. Linkages between flow regime, biota, and ecosystem processes:Implications for river restoration[J]. Science Letter, 2019, 365(6459):1538-9111.

LIU Q, MA X J, YAN S R, et al. Lag in hydrologic recovery following extreme meteorological drought events:implications for ecological water requirements[J]. Water, 2020, 12(3):837.

SAFT M, WESTERN A W, ZHANG L, et al. The influence of multiyear drought on the annual rainfall-runoff relationship:an australian perspective[J]. Water Resources Research, 2015, 51(4):2444-2463.

ZHAO L, WU J J, FANG J. Robust response of streamflow drought to different timescales of meteorological drought in Xiangjiang River Basin of China[J]. Advances in Meteorology, 2016:1-8.

ZHONG F L, CHENG Q P, WANG P. Meteorological drought, hydrological drought, and NDVI in the heihe River Basin, Northwest China:evolution and propagation[J]. Advances in Meteorology, 2020, 2020:1-26.

ZHANG J L, ZHANG Y Q, SONG J X, et al. Evaluating relative merits of four baseflow separation methods in Eastern Australia[J]. Journal of Hydrology, 2017, 549:252-263.

焦玮, 朱仲元, 宋小园, 等. 基流分割方法在锡林河流域适用性分析[J]. 干旱区研究, 2017, 34(1):26-35.

周嘉欣, 丁永建, 吴锦奎, 等. 基流分割方法在疏勒河上游流域的应用对比分析[J]. 冰川冻土, 2019, 41(4):1-11.

XIE J X, LIU X W, WANG K W, et al. Evaluation of typical methods for baseflow separation in the contiguous United States[J]. Journal of Hydrology, 2020, 583:124628.

AHIABLAMEA L, SHESHUKOVB A Y, RAHMANIB V, et al. Annual baseflow variations as influenced by climate variability and agricultural land use change in the Missouri River Basin[J]. Journal of Hydrology, 2017, 551:188-202.

ARYAL S K, ZHANG Y Q, CHIEW F. Enhanced low flow prediction for water and environmental management[J]. Journal of Hydrology, 2020, 584.https://doi.org/10.1016/j.jhydrol.2020.124658.

刘茂峰, 高彦春, 甘国靖. 白洋淀流域年径流变化趋势及气象影响因子分析[J]. 资源科学, 2011, 33(8):1438-1445.

高彦春, 晗王, 笛龙. 白洋淀流域水文条件变化和面临的生态环境问题[J]. 资源科学, 2009, 31(9):1506-1513.

杨泽凡, 胡鹏, 赵勇, 等. 新区建设背景下白洋淀及入淀河流生态需水评价和保障措施研究[J]. 中国水利水电科学研究院学报, 2018, 16(6):563-570.

王玲玲, 康玲玲, 王云璋. 气象水文干旱指数计算方法研究概述[J]. 水资源与水工程学报, 2004,15(3):15-18.

YANG Y, LONG D, GUAN H, et al. GRACE satellite observed hydrological controls on interannual and seasonal variability in surface greenness over mainland Australia[J]. Journal of Geophysical Research:Biogeosciences, 2014, 119(12):2245-2260.

NATHAN R J, MCMAHON T A. Evaluation of automated techniques for base flow and recession analyses[J]. 1990, 26(7):1465-1473.

CAISSIE D, EL-JABI N. Instream Flow Assessment:From Holistic Approaches to Habitat Modelling[J]. Canadian Water Resources Journal, 2003, 28(2):173-183.

CHENG L, ZHANG L, BRUTSAERT W. Automated selection of pure base flows from regular daily streamflow data:objective algorithm[J]. Journal of Hydrologic Engineering, 2016,21(11):06016008.

马晓婧, 刘强, 潘继花, 等. 基于数字滤波法的拒马河基流分割及演变规律[J]. 北京师范大学学报(自然科学版), 2020:1-9[2020-10-23].http://kns.cnki.net/kcms/detail/11.1991.N.20200305.1730.002.html.

左斌斌, 徐宗学, 任梅芳, 等. 北京市通州区1966-2016年降水特性研究[J]. 北京师范大学学报(自然科学版), 2019, 55(5

):556-563.

GÜÇLÜ Y S. Improved visualization for trend analysis by comparing with classical Mann-Kendall test and ITA[J]. Journal of Hydrology, 2020, 584:124674.

陈明霞, 熊贵耀, 张佳鹏, 等. 湘江流域水质综合评价及其时空演变分析[J]. 环境工程, 2019, 37(10):83-90

,104.

SAFT M, PEEL M C, WESTERN A W, et al. Bias in streamflow projections due to climate-induced shifts in catchment response[J]. Geophysical Research Letters, 2016, 43(4):1574-1581.

APURV T, SIVAPALAN M, CAI X. Understanding the role of climate characteristics in drought propagation[J]. 2017, 53(11):9304-9329.

袁星, 马凤, 李华, 等. 全球变化背景下多尺度干旱过程及预测研究进展[J]. 大气科学学报, 2020,43(1):225-237.

SPENCE C. On the relation between dynamic storage and runoff:A discussion on thresholds, efficiency, and function[J]. Water Resources Research, 2007, 43(12).

van LOON A F, LAAHA G. Hydrological drought severity explained by climate and catchment characteristics[J]. Journal of Hydrology, 2015, 526:3-14.

PARRY S, WILBY R L, PRUDHOMME C,et al. A systematic assessment of drought termination in the United Kingdom[J]. Hydrology and Earth System Sciences Discussions, 2016, 20(10):4265-4281.

SAPAČ K, RUSJAN S, ŠRAJ M. Assessment of consistency of low-flow indices of a hydrogeologically non-homogeneous catchment:a case study of the Ljubljanica river catchment, Slovenia[J]. Journal of Hydrology, 2020, 583:124621.

董薇薇, 丁永建, 魏霞. 祁连山疏勒河上游基流变化及其影响因素分析[J]. 冰川冻土, 2014, 36(3):661-669.

施引文献

资源附件(0)

访问统计