Changes in runoff and eco-flow in the Dongjiang River of the Pearl River Basin, China

Kairong LIN, Yanqing LIAN, Xiaohong CHEN, Fan LU

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Front. Earth Sci. ›› 2014, Vol. 8 ›› Issue (4) : 547-557. DOI: 10.1007/s11707-014-0434-y
RESEARCH ARTICLE
RESEARCH ARTICLE

Changes in runoff and eco-flow in the Dongjiang River of the Pearl River Basin, China

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Abstract

The Dongjiang River, one of the tributaries of the Pearl River, serves as the critical water source for Guangdong Province and the District of Hong Kong in China. In this study, the change trend and change points of flow at three main gaging stations in the Dongjiang River were analyzed using the nonparametric Mann-Kendall test and Pettitt-Mann-Whitney change-point statistics. Flow regime changes in the Dongjiang River were quantified by using both the Indicators of Hydrologic Alteration (IHA) parameters and eco-statistics, such as ecosurplus and ecodeficit. It was found that the change trend for annual median flow in the Dongjiang River increased over the past 60 years, with the major change occurring sometime between 1970 and 1974. IHA analyses showed that the magnitude of monthly flow decreased during the flood period, but increased greatly during the dry period. The median date of the one-day minimum flow moved ahead, and the duration of low pulse for the Dongjiang River was reduced significantly because of reservoir construction and operations. The IHA-based Dundee Hydrological Regime Alteration Method analysis indicated that all three stations have experienced a moderate risk of impact since 1974. The eco-statistical analyses showed that the majority of the flows appeared to be ecosurplus at all three locations after 1974, while flows with less than 30%, or higher exceedance probability, had ecodeficit in the summer flood period due to heavy reservoir operations.

Keywords

hydrologic alteration / change point analysis / runoff / eco-flow

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Kairong LIN, Yanqing LIAN, Xiaohong CHEN, Fan LU. Changes in runoff and eco-flow in the Dongjiang River of the Pearl River Basin, China. Front. Earth Sci., 2014, 8(4): 547‒557 https://doi.org/10.1007/s11707-014-0434-y

References

[1]
Black A R, Rowan J S, Duck R W, Bragg O M, Clelland B E (2005). DHRAM: a method for classifying river flow regime alterations for the EC Water Framework Directive. Aquatic Conservation: Marine and Freshwater Ecosystems, 15(5): 427–446
CrossRef Google scholar
[2]
Chen H, Guo S L, Xu C Y, Singh V P (2007). Historical temporal trends of hydro-climatic variables and runoff response to climate variability and their relevance in water resource management in the Hanjiang basin. J Hydrol (Amst), 344(3–4): 171–184
CrossRef Google scholar
[4]
Chen Y Q D, Yang T, Xu C Y, Zhang Q, Chen X, Hao Z C (2010). Hydrologic alteration along the Middle and Upper East River (Dongjiang) basin, South China: a visually enhanced mining on the results of RVA method. Stochastic Environ Res Risk Assess, 24(1): 9–18
CrossRef Google scholar
[5]
Chen Y Q D, Zhang Q, Xiao M, Singh V P (2013). Evaluation of risk of hydrological droughts by the trivariate Plackett copula in the East River basin (China). Nat Hazards, 68(2): 529–547
CrossRef Google scholar
[6]
Cong Z T, Yang D W, Gao B, Yang H B, Hu H P (2009). Hydrological trend analysis in the Yellow River basin using a distributed hydrological model. Water Resour Res, 45: W00A13
CrossRef Google scholar
[7]
Fealy R, Sweeney J (2005). Detection of a possible change point in atmospheric variability in the North Atlantic and its effect on Scandinavian glacier mass balance. Int J Climatol, 25(14): 1819–1833
CrossRef Google scholar
[8]
Fernández J A, Martinez C, Magdaleno F (2012). Application of indicators of hydrologic alterations in the designation of heavily modified water bodies in Spain. Environ Sci Policy, 16: 31–43
CrossRef Google scholar
[9]
Fu L, Zhao M F, Gong L, Liu Q R (2011). Investigation and risk assessment of alien invasive plants in riparian zone of Dongjiang River. Agricultural Science & Technology, 12(12): 1897–1904
[10]
Gao B, Yang D W, Zhao T G T, Yang H (2012). Changes in the eco-flow metrics of the Upper Yangtze River from 1961–2008. J Hydrol (Amst), 448–449: 30–38
CrossRef Google scholar
[11]
Gao Y X, Vogel R M, Kroll C N, Poff N L, Olden J D (2009). Development of representative indicators of hydrologic alteration. J Hydrol (Amst), 374(1–2): 136–147
CrossRef Google scholar
[12]
He Y H, Lin K R, Chen X H (2013). Effect of land use and climate change on runoff in the Dongjiang Basin of South China. Math Probl Eng, 2013: 1–14
CrossRef Google scholar
[13]
Hirsch R M, Slack J R, Smith R A (1982). Techniques of trend analysis for monthly water-quality data. Water Resour Res, 18(1): 107–121
CrossRef Google scholar
[14]
Huang J P, Cheng D S, Deng J Q, Wang Z Y (2006). Climate analysis of Dongjiang Basin. Pearl River, 5: 48–52 (in Chinese)
[15]
Jiang T, Chen Y Q D, Xu C Y, Chen X H, Chen X, Singh V P (2007). Comparison of hydrological impacts of climate change simulated by six hydrological models in the Dongjiang Basin, South China. J Hydrol (Amst), 336(3–4): 316–333
CrossRef Google scholar
[16]
Kendall M G (1975). Rank Correlation Measures. London: Charles Griffin, 212–220
[17]
Kim B S, Kim B K, Kwon H H (2011). Assessment of the impact of climate change on the flow regime of the Han River basin using indicators of hydrologic alteration. Hydrol Processes, 25(5): 691–704
CrossRef Google scholar
[18]
Lian Y Q, You J Y, Sparks R, Demissie M (2012). Impact of human activities to hydrologic alterations on the Illinois River. J Hydrol Eng, 17(4): 537–546
CrossRef Google scholar
[19]
Liu D D, Chen X H, Lian Y Q, Lou Z H (2010). Impacts of climate change and human activities on surface runoff in the Dongjiang River basin of China. Hydrol Processes, 24(11): 1487–1495
CrossRef Google scholar
[20]
Liu L, Xu Z X, Huang J X (2012). Spatio-temporal variation and abrupt changes for major climate variables in the Taihu Basin, China. Stochastic Environ Res Risk Assess, 26(6): 777–791
CrossRef Google scholar
[21]
Liu Y, Lin X T, Sun J, Zhang P F, Chen G Z (2011). Fish community changes in Huizhou Segment of Dongjiang River. Chinese Journal of Zoology, 46(2): 1–11 (in Chinese)
[3]
Lu K X (1990). Fishery Resources of Pearl River. Guangzhou: Guangdong Science and Technology Press, 84–202 (in Chinese)
[22]
Magilligan F J, Nislow K H (2005). Changes in hydrologic regime by dams. Geomorphology, 71(1–2): 61–78
CrossRef Google scholar
[23]
Mann H B (1945). Non-parametric tests against trend. Econometrica, 13(3): 245–259
CrossRef Google scholar
[24]
Mathews R, Richter B D (2007). Application of the indicators of hydrologic alteration software in environmental flow setting. J Am Water Resour Assoc, 43(6): 1400–1413
CrossRef Google scholar
[25]
Meehl G A, Zwiers F, Evans J, Knutson T, Mearns L, Whetton P (2000). Trends in extreme weather and climate events: issues related to modeling extremes in projections of future climate change. Bull Am Meteorol Soc, 81(3): 427–436
CrossRef Google scholar
[26]
Peng T, Chen X H, Liu X (2008). Flood response to changes of flood disaster formative environment in the Pearl River Delta. Journal of China Hydrology, 28: 57–60 (in Chinese)
[27]
Piao S, Ciais P, Huang Y, Shen Z, Peng S, Li J, Zhou L, Liu H, Ma Y, Ding Y, Friedlingstein P, Liu C, Tan K, Yu Y, Zhang T, Fang J (2010). The impacts of climate change on water resources and agriculture in China. Nature, 467(7311): 43–51
CrossRef Pubmed Google scholar
[28]
Poff N L, Zimmerman J K H (2010). Ecological responses to altered flow regimes: a literature review to inform the science and management of environmental flows. Freshw Biol, 55(1): 194–205
CrossRef Google scholar
[29]
Richards C, Bacon K L (1994). Influence of fine sediment on macroinvertebrate colonization of surface and hyporheic stream substrates. Great Basin Nat, 54: 106–113
[30]
Richter B D, Baumgartner J V, Braun D P, Powell J (1998). A spatial assessment of hydrologic alteration within a river network. Regul Rivers Res Manage, 14(4): 329–340
CrossRef Google scholar
[31]
Richter B D, Baumgartner J V, Powell J, Braun D P (1996). A method for assessing hydrologic alteration within ecosystems. Conserv Biol, 10(4): 1163–1174
CrossRef Google scholar
[32]
Sabater S, Tockner K (2010). Effects of hydrologic alterations on the ecological quality of river ecosystems. In: Sabater S, Barcelo D, eds. Water Scarcity in the Mediterranean: Perspectives under Global Change, vol. 8. Berlin: Springer-Verlag Berlin, 15–39
[33]
Suen J P (2010). Potential impacts to freshwater ecosystems caused by flow regime alteration under changing climate conditions in Taiwan. Hydrobiologia, 649(1): 115–128
CrossRef Google scholar
[34]
Vogel R M, Fennessey N M (1995). Flow duration curves II: a review of applications in water resources planning. Water Resour Bull, 31(6): 1029–1039
CrossRef Google scholar
[35]
Vogel R M, Sieber J, Archfield S A, Smith M P, Apse C D, Huber-LeeA (2007). Relations among storage, yield, and instream flow. Water Resour Res, 43: W05403
CrossRef Google scholar
[36]
Wang W, Chen X, Shi P, van Gelder P (2008). Detecting changes in extreme precipitation and extreme streamflow in the Dongjiang River Basin in southern China. Hydrol Earth Syst Sci, 12(1): 207–221
CrossRef Google scholar
[37]
Zhang Q, Li J F, Singh V P, Xu C Y, Deng J Y (2013b). Influence of ENSO on precipitation in the East River basin, South China. J Geophys Res, D, Atmospheres, 118(5): 2207–2219
CrossRef Google scholar
[38]
Zhang Q, Singh V P, Li K, Li J F (2013a). Trend, periodicity and abrupt change in streamflow of the East River, the Pearl River basin, China. Hydrol Processes, doi: 10.1002/hyp.9576
[39]
Zhang Z J, Yao J X, Wang Z D, Xu X, Lin X Y, Czapar G F, Zhang J Y (2011). Improving water management practices to reduce nutrient export from rice paddy fields. Environ Technol, 32(2): 197–209
CrossRef Pubmed Google scholar
[40]
Zhao Q H, Liu S L, Deng L, Dong S K, Wang C, Yang Z F, Yang J J (2012). Landscape change and hydrologic alteration associated with dam construction. Int J Appl Earth Obs Geoinf, 16: 17–26
CrossRef Google scholar

Acknowledgment

The authors would like to express their sincere gratitude to two anonymous referees for their constructive comments and useful suggestions that helped us improve our paper. We also want to thank Lisa Shepherd from University of Illinois at Urbana-Champaign for editing. This study was financially supported by the National Natural Science Foundation of China (Grant Nos. 51379223 and 51210013), the Pearl-River-New-Star of Science and Technology supported by Guangzhou City (2011J2200051), and the Natural Science Foundation of Guangdong Province (S2011010001549).

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2014 Higher Education Press and Springer-Verlag Berlin Heidelberg
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