Spatio-temporal characteristics of precipitation and drought in catchment of Miyun Reservoir, Beijing
ZHOU Lianxiong1, CUI Wanjing2, ZHAO Yunjie1
1. School of Soil and Water Conservation, Beijing Forestry University, 100083, Beijing, China; 2. Beijing Greensource Environment Plan&Design Institute Co. Ltd., 100083, Beijing, China
Abstract：[Background] As sole surface edible water source area, Miyun Reservoir plays an critical role in urban sustainable development of Beijing. The previous studies, however, limited by sparse distribution and data missing of ground hydrometorological observation stations, could not delineate the hydrometeorological characterisitics systematically and totally in the catchment of Miyun Reservior, accurate and confident data for ecohydrological models parameterization at watershed scale are not available as well. It is neccessary to study long-term trend of related hydrometeorological parameters. [Methods] Using PERSIANN-CDR (Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks-Climate Data Record) precipitation dataset and derivative standardized precipitation index (SPI) at 1-, 3-, 6- and 12-month scales, we analyzed spatio-temporal pattern of precipitation and drought in 1983-2017 and further tested their significance (at 0.05 level) based on time series datasets with contextual Mann-Kendall (M-K) method. [Results] 1) We divided annual precipitation into three stages as year 1983-1998, year 1999-2009 and year 2010-2017, among which annual precipitation had greater fluctuation around multi-year mean during year 1983-1998, annual precipitation was lower than multi-year mean during year 1999-2009, and annual precipitation had smaller fluctuation around multi-year mean during year 2010-2017, annual precipitation fluctuated around the multi-year mean precipitation (479.37 mm) with insignificant trend statistically, even if a continuous decreasing existed in the first 10 years of this century. 2) Monthly precipitation occurred mainly from July to September with maximum in July, spatially, greater precipitation occurred in northern and northeastern parts, while small precipitation occurred in southwestern part. M-K test result shows that monthly precipitation increased with insignificant trend statistically in the whole catchment. Grid-based SPI values at 4 scales (1-, 3-, 6- and 12-months) showed that drought events happened occasionally, but intensity was light or medium, no extreme event could be found. In the meantime, three continuous drought events happened during study period coincided well with precipitation change trend. 4)M-K test results for SPI at 4 scales show that SPI1, SPI 3 and SPI6 increased and SPI12 decreased with insignificant trends statistically, in other word, drought was characterized by increasing from monthly scale to seasonal scale, then decreasing slightly at half-yearly scale and finally reducing drastically in yearly scale. [Conclusions] Totally, annual and monthly precipitation amounts in this catchment fluctuate at spatial scale, no significant change trend in temporal scale can be found. However, a lasting and decadal drought defined by SPI could be detected in start of 21st century which would inevitably affect negatively on key ecological program such as Beijing-Tianjin Sand Source Control Program implemented in this period. In conclusion,this study does reflect the long-term precipitation and drought trend and provide more scientific data on revegetation management and water source area protection in Miyun Reservoir catchment, which can be used to paramerize the ecohydrylogical models at watershed scale. In addition, the effects of drought on ecological project and its ecosystem services especially water quality and quantity should be focused in future research.
BENGTSSON L, HERSCHY R W, FAIRBRIDGE RW. Encyclopedia of lakes and reservoirs[M]. New York:Springer Science+Business Media B.V., 2012:201.
[2]
KŘE AČEK J, HAIGH M, HOFER T, et al. Ecosystem services of headwater catchments[M]. New Delhi:Springer, 2017:3.
[3]
FERRIER R C, JENKINS A. Handbook of catchment management[M]. Oxford:Blackwell Publishing Ltd. 2010:1.
[4]
李皓,张克斌,杨晓晖,等. 密云水库流域"稻改旱"生态补偿农户参与意愿分析[J].生态学报,2017, 37(20):6953. LI Hao,ZHANG Kebin,YANG Xiaohui,et al.Choice experiment modeling of rural households' willingness to participate in the Miyun Reservoir catchment's Paddy Land-to-Dry Land program[J].Acta Ecologica Sinica, 2017, 37(20):6953.
[5]
欧洋,王晓燕,郑玉涛,等. 密云水库流域降雨径流侵蚀力时空分布研究[J]. 首都师范大学学报(自然科学版),2008, 29(4):74. OU Yang, WANG Xiaoyan, ZHENG Yutao et al. An analysis on spatial-temporal distribution of rainfall erosivityin Miyun Reservoir watershed[J].Journal of Capital Normal University (Natural Science Edition), 2008, 29(4):74.
[6]
丛振涛,张晓颖. 基于Poisson分布的降水模型及其在潮白河密云水库上游流域的应用[J]. 清华大学学报(自然科学版),2013, 53(1):36. CONG Zhentao, ZHANG Xiaoying. Rainfall models based on a Poisson distribution with application to the Chaobai River Basin on the upper reaches of the Miyun Reservoir[J]. Journal of Tsinghua University (Sci & Tech), 2013, 53(1):36.
[7]
杨芬,贺国平,邵惠芳. 密云水库产水区降雨时空变化趋势分析[J],北京水务,2013(2):16. YANG Fen, HE Guoping, SHAO Huifang. Analysis of temporal and spatial change trend of precipitation in catchment area of the Miyun Reservoir[J]. Beijing Water Conservancy, 2013(2):16.
[8]
钟永华,鲁帆,易忠,等. 密云水库以上流域年净流变化趋势及周期分析[J]. 水文,2013, 33(6):81. ZHONG Yonghua, LU Fan, YI Zhong. Change trend and period of annual runoff in upstream watershed of Miyun Reservoir[J]. Journal of China Hydrology, 2013, 33(6):81.
[9]
ZHU Q, XUAN W, LIU L, et al. Evaluation and hydrological application of precipitation estimates derived from PERSIANN-CDR, TRMM 3B42V7, and NCEP-CFSR over humid regions in China[J]. Hydrological Processes, 2016, 30(17):3061.
[10]
KATIRAIE-BOROUJERDY, PS, ASHOURI, H, HSU, K L, et al. Trends of precipitation extreme indices over a subtropical semi-arid area using PERSIANN-CDR[J]. Theoretical and Applied Climatology, 2017, 130(1/2):249.
[11]
ASHOURI H, HSU K L, SOROOSHIAN S, et al. PERSIANN-CDR:Daily precipitation climate data record from multisatellite observations for hydrological and climate studies[J]. Bulletin of the American Meteorological Society, 2015, 96(1):69.
[12]
ASHOURI H, NGUYEN P, THORSTENSEN A, et al. Assessing the efficacy of high-resolution satellite-based PERSIANN-CDR precipitation product in simulating streamflow[J]. Journal of Hydrometeorology, 2016, 17(7):2061.
[13]
LIU X, YANG T, HSU K, et al. Evaluating the streamflow simulation capability of PERSIANN-CDR daily rainfall products in two river basins on the Tibetan Plateau[J]. Hydrology and Earth System Sciences, 2017, 21(1):169.
[14]
LIU Jiangtao, XU Zongxue, BAI Junrui, et al. Assessment and correction of the PERSIANN-CDR product in the Yarlung Zangbo River Basin, China[J]. Remote Sensing, 2018, 10(12):2031.
[15]
GUTTMAN N B. Accepting the standardized precipitation index:A calculation algorithm[J]. Journal of the American Water Resources Association, 1999, 35(2):311.
[16]
OLIVER J E. Encyclopedia of world climatology[M].Dordrecht:Springer, 2005:338.
[17]
VICENTE-SERRANO S M, BEGUERIA S, LOPEZ-MORENO J I. A multiscalar drought index sensitive to global warming:The standardized precipitation evapotranspiration index[J]. Journal of Climate, 2010, 23(7):1696.
[18]
GUTTMAN N B. Comparing the palmer drought index and the standardized precipitation index[J]. Journal of the American Water Resources Association, 1998, 34(1):113.
[19]
SEILER R A, HAYES M, BRESSAN L. Using the standardized precipitation index for flood risk monitoring[J]. International Journal of Climatology, 2002, 22(11):1365.
[20]
WU H, SVOBODA M D, HAYES M J, et al. Appropriate application of the standardized precipitation index in arid locations and dry seasons[J]. International Journal of Climatology, 2007, 27(1):65.
[21]
BAZRAFSHAN J, HEJABI S, RAHIMI J. Drought monitoring using the multivariate standardized precipitation index (MSPI)[J]. Water Resources Management, 2014, 28(4):1045.
[22]
LI J Z, WANG Y X, LI S F, et al. A non-stationary standardized precipitation index incorporating climate indices as covariates[J]. Journal of Geophysical Research:Atmospheres, 2015,120(23):12.
[23]
BEGUERÍA S, VICENTE-SERRANO S M, REIG F, et al. Standardized precipitation evapotranspiration index (SPEI) revisited:Parameter fitting, evapotranspiration models, tools, datasets and drought monitoring[J]. International Journal of Climatology, 2014, 34(10):3001.
[24]
STAGGE J H, TALLAKSEN L M, GUDMUNDSSON L, et al. Candidate distributions for climatological drought indices (SPI and SPEI)[J]. International Journal of Climatology, 2015, 35(13):4027.
[25]
GAO Xuerui, ZHAO Qi, ZHAO Xining, et al. Temporal and spatial evolution of the standardized precipitation evapotranspiration index (SPEI) in the Loess Plateau under climate change from 2001 to 2050[J]. Science of the Total Environment, 2017(595):191.
[26]
UM M J, KIM Y, PARK D, et al. Effects of different reference periods on drought index (SPEI) estimations from 1901 to 2014[J]. Hydrology & Earth System Sciences, 2017, 21(10):4989.
[27]
McKEE T B, DOESKEN, N J, KLEIST J. The relationship of drought frequency and duration to timescales[J]. Proceedings of the 8th Conference on Applied Climatology, 1993, 17(22):179.
[28]
NEETI N, EASTMAN J R. A contextual Mann-Kendall approach for the assessment of trend significance in image time series[J]. Transactions in GIS, 2011, 15(5):599.
[29]
LI Hao, ZHANG Xiao, ZHANG Yan, et al. Risk assessment of forest landscape degradation using Bayesian network modeling in the Miyun Reservoir Catchment (China) with emphasis on the Beijing-Tianjin sandstorm source control programme[J]. Land Degradation & Development, 2018(29):3876.
2020, Vol. 18 
