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

LI Miao; YAN Si-rui; LIU Qiang; ZHANG Jun-long; YUAN Xiao-min

doi:10.13205/j.hjgc.202010003

Volume 38 Issue 10

Nov. 2020

Turn off MathJax

Article Contents

Article Navigation > ENVIRONMENTAL ENGINEERING > 2020 > 38(10): 14-20

LI Miao, YAN Si-rui, LIU Qiang, ZHANG Jun-long, YUAN Xiao-min. ANALYSIS ON STREAMFLOW PROCESSES RESPONSE TO EXTREME METEOROLOGICAL DROUGHT IN THE BAIYANGDIAN BASIN, CHINA[J]. ENVIRONMENTAL ENGINEERING , 2020, 38(10): 14-20. doi: 10.13205/j.hjgc.202010003

Citation:

LI Miao, YAN Si-rui, LIU Qiang, ZHANG Jun-long, YUAN Xiao-min. ANALYSIS ON STREAMFLOW PROCESSES RESPONSE TO EXTREME METEOROLOGICAL DROUGHT IN THE BAIYANGDIAN BASIN, CHINA[J]. ENVIRONMENTAL ENGINEERING , 2020, 38(10): 14-20. doi: 10.13205/j.hjgc.202010003

Citation:

LI Miao, YAN Si-rui, LIU Qiang, ZHANG Jun-long, YUAN Xiao-min. ANALYSIS ON STREAMFLOW PROCESSES RESPONSE TO EXTREME METEOROLOGICAL DROUGHT IN THE BAIYANGDIAN BASIN, CHINA[J]. ENVIRONMENTAL ENGINEERING , 2020, 38(10): 14-20. doi: 10.13205/j.hjgc.202010003

PDF( 2498 KB)

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

doi: 10.13205/j.hjgc.202010003

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

Received Date: 2020-05-20

Abstract

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

FullText(HTML)

References(32)

References

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.

Relative Articles

Supplements(0)

Cited By

Proportional views