SHA Yukun, LI Weipeng, FAN Jihui, CHENG Genwei. Determining Critical Support Discharge of a Riverhead and River Network Analysis:Case Studies of Lhasa River and Nyangqu River[J]. Chinese Geographical Science, 2016, 26(4): 456-465. doi: 10.1007/s11769-015-0760-3
Citation: SHA Yukun, LI Weipeng, FAN Jihui, CHENG Genwei. Determining Critical Support Discharge of a Riverhead and River Network Analysis:Case Studies of Lhasa River and Nyangqu River[J]. Chinese Geographical Science, 2016, 26(4): 456-465. doi: 10.1007/s11769-015-0760-3

Determining Critical Support Discharge of a Riverhead and River Network Analysis:Case Studies of Lhasa River and Nyangqu River

doi: 10.1007/s11769-015-0760-3
Funds:  Under the auspices of National Natural Science Foundation of China (No. 31070405), Knowledge Innovation Programs of Chinese Academy of Sciences (No. KZCX2-XB3-08)
More Information
  • Corresponding author: CHENG Genwei
  • Received Date: 2014-04-25
  • Rev Recd Date: 2014-08-05
  • Publish Date: 2016-08-27
  • A riverhead is the demarcation point of continuous water channel and seasonal channel, which is characterized by a critical flow that can support a continuous water body. In this study, the critical support discharge (CSD) is defined as the critical steady flows required to form the origin of a stream. The CSD is used as the criterion to determine the beginning of the riverhead, which can be controlled by hydro-climate factors (e.g., annual precipitation, annual evaporation, or minimum stream flow in arid season). The CSD has a close correlation with the critical support/source area (CSA) that largely affects the density of the river network and the division of sub-watersheds. In general, river density may vary with regional meteorological and hydrological conditions that have to be considered in the analysis. In this paper, a new model referring to the relationship of CSA and CSD is proposed, which is based on the physical mechanism for the origin of riverheads. The feasibility of the model was verified using two watersheds (Duilongqu Basin of the Lhasa River and Beishuiqu Basin of the Nyangqu River) in Tibet Autonomous Region to calculate the CSA and extract river networks. A series of CSAs based on different CSDs in derived equation were tested by comparing the extracted river networks with the reference network obtained from a digitized map of river network at large scales. Comparison results of river networks derived from digital elevation model with real ones indicate that the CSD (equal to criterion of flow quantity (Qc)) are 0.0028 m3/s in Duilongqu and 0.0085 m3/s in Beishuiqu. Results show that the Qc can vary with hydro-climate conditions. The Qc is high in humid region and low in arid region, and the optimal Qc of 0.0085 m3/s in Beishuiqu Basin (humid region) is higher than 0.0028 m3/s in Duilongqu Basin (semi-arid region). The suggested method provides a new application approach that can be used to determine the Qc of a riverhead in complex geographical regions, which can also reflect the effect of hydro-climate change on rivers supply in different regions.
  • [1] Boruah S, Biswas S P, 2002. Ecohydrology and fisheries of the Upper Brahmaputra Basin. Environmentalist, 22(2):119-131.doi: 10.1023/A:1015369313873
    [2] Chiang S L, Johnson F W, 1976. Low flow criteria for diversions and impoundments. Journal of the Water Resources Planning and Management Division, 102(2):227-238.
    [3] Du Jun, Bian Duo, Bao Jianhua et al., 2008. Changes of pan evaporations and its impact factors over northern Tibet in 1971-2006. Advances in Water Science, 19(6):786-791. (in Chinese)
    [4] Du Jun, Bian Duo, Lhak Pa et al., 2009. Changes in evapotranspiration in the main agriculture areas of central Tibet and its relation to the environment factors in 1971-2005. Journal of Glaciology and Geocryology, 31(5):815-821. (in Chinese)
    [5] Fraser J C, 1978. Suggestions for Developing Flow Recommendations for In-stream Uses of New Zealand Streams. Wellington:Ministry of Works and Development, 5-7.
    [6] Fu Jing, Fan Guangzhou, Zhou Dingwen, 2012. The applicability and modification of Takahashi formula for evaporation estimation in Lhasa. Journal of Applied Meteorological Science, 23(2):231-237. (in Chinese)
    [7] Gain A K, Apel H, Renaud F G et al., 2013. Thresholds of hydrologic flow regime of a river and investigation of climate change impact-the case of the Lower Brahmaputra River Basin. Climatic Change, 120(1-2):463-475.doi: 10.1007/s10584-013-0800-x
    [8] Gain A K, Immerzeel W W, Weiland F C S et al., 2011. Impact of climate change on the stream flow of the lower Brahmaputra:Trends in high and low flows based on discharge-weighted ensemble modelling. Hydrology and Earth System Sciences, 15(5):1537-1545.doi: 10.5194/hess-15-1537-2011
    [9] Hu Bo, Cui Baoshan, Yang Zhifeng et al., 2006. Calculation of ecological water requirements for in-stream in the Lancang River, Yunnan Province, China. Acta Ecologica Sinica, 26(1):163-173. (in Chinese)
    [10] Immerzeel W W, van Beek L P H, Bierkens M F P, 2010.Climate change will affect the Asian water towers. Science, 328(5984):1382-1385.doi: 10.1126/science.1183188
    [11] Jones R, 2002. Algorithms for using a DEM for mapping catchment areas of stream sediment samples. Computers and Geosciences, 28(9):1051-1060.doi: 10.1016/S0098-3004(02)00022-5
    [12] Li L, Xu Z X, 2012. A preprocessing program for hydrologic model-a case study in the Wei River Basin. Procedia Environmental Sciences, 13(1):766-777.doi: 10.1016/j.proenv.2012.01.070
    [13] Li Li, 2007. Study on Flood Routing of Distributed Hydrologic Models. Nanjing:Hohai University, 10-25. (in Chinese)
    [14] Lin Xuedong, Zhang Yili, Yao Zhijun et al., 2007. Trend analysis of the runoff variation in Lhasa River Basin in Tibetan Plateau during the last 50 years. Progress in Geography, 26(3):58-68.(in Chinese)
    [15] Liu Yuting, Zhang Xingnan, Liu Bojuan et al., 2014. Research on the relationship between optimal drainage area threshold and river network density by terrain classification. Journal of Yangtze River Scientific Research Institute, 31(4):17-20, 25.(in Chinese)
    [16] Martz L W, Garbrecht J, 1992. Numerical definition of drainage network and subcatchment areas from digital elevation models. Computers and Geosciences, 18(6):747-761.doi: 10.1016/0098-3004(92)90007-E
    [17] Montgomery D R, Dietrich W E, 1992. Channel initiation and the problem of landscape scale. Science, 255(5046):826-830.doi: 10.1126/science.255.5046.826
    [18] Montgomery D R, Foufoula G E, 1993. Channel network source representation using digital elevation models. Water Resources Research, 29(12):3925-3934.doi: 10.1029/93WR02463
    [19] Nian Y Y, Li X, Zhou J et al., 2014. Impact of land use change on water resource allocation in the middle reaches of the Heihe River Basin in northwestern China. Journal of Arid Land, 6(3):273-286.doi: 10.1007/s40333-013-0209-4
    [20] O'Callaghan J F, Mark D M, 1984. The extraction of drainage networks from digital elevation data. Computer Vision, Graphics, and Image Processing, 28(3):323-344.doi: 10.1016/S0734-189X(84)80011-0
    [21] Pan Baotian, Li Jijun, 1995. Qinghai-Xizang (Tibetan) Plateau:a driver and amplifier of global climatic changes. Journal of Lanzhou University (Natural Sciences), 31(4):160-167. (in Chinese)
    [22] Poff N L, Tokar S, Johnson P, 1996. Stream hydrological and ecological responses to climate change assessed with an artificial neural network. Limnology and Oceanography Methods, 41(5):857-863.
    [23] Quinn P, Beven K J, Chevallier P et al., 1991. The prediction of hillslope flow paths for distributed hydrological modeling using digital terrain models. Hydrological Processes, 5(1):59-79.doi: 10.1002/hyp.3360050106
    [24] Richter B D, Baumgartner J V, Wigington R et al., 1997. How much water does a river need? Freshwater Biology, 37(1):231-249.doi: 10.1046/j.1365-2427.1997.00153.x
    [25] Shen D J, 1995. Research on the rational use of water resources on the Lhasa River, Tibet. In:Simonovic S P et al. (eds.). International Symposium on Modelling and Management of Sustainable Basin-scale Water Resource Systems. Boulder, Colorado:Int. Union Geodesy & Geophys, 151-156.
    [26] Singh K P, Stall J B, 1974. Hydrology of 7-day 10-year low flows. Journal of the Hydraulics Division, 100(12):1753-1771.
    [27] Sun J, Cheng G W, Li W P, 2013a. Meta-analysis of relationships between environmental factors and aboveground biomass in the alpine grassland on the Tibetan Plateau. Biogeosciences, 10(3):1707-1715.doi: 10.5194/bg-10-1707-2013
    [28] Sun J, Cheng G W, Li W P et al., 2013b. On the variation of NDVI with the principal climatic elements in the Tibetan Plateau. Remote Sensing, 5(4):1894-1911.doi: 10.3390/rs5041894
    [29] Takahashi K, 1979. The calculation method of monthly average temperature, monthly precipitation and evapotranspiration. Synoptics, 26(12):759-763. (in Japan)
    [30] Tennant D L, 1976. Instream flow regimens for fish, wildlife, recreation, and related environmental resources. In:Orsborn J F et al. (eds.). Proceedings of Symposium and Speciality Conference on Instream Flow Needs? Bethesda, Maryland:American Fisheries Society, 359-373.
    [31] Tharme R E, 2003. A global prespective on environmental flow assessment:emerging trends in the development and application of environmental flow methodologies for rivers. River Research and Applications, 19(5-6):397-441.doi: 10.1002/rra.736
    [32] Wang Xiqin, Liu Changming, Yang Zhifeng, 2002. Research advance in ecological water demand and environmental water demand. Advances in Water Science, 13(4):507-514. (in Chinese)
    [33] Xu M, Ye B S, Zhao Q D et al., 2013. Estimation of water balance in the source region of the Yellow River based on GRACE satellite data. Journal of Arid Land, 5(3):384-395.doi: 10.1007/s40333-013-0169-8
    [34] Yang Bang, Ren Liliang, 2009. Identification and comparison of critical support area in extracting drainage network from DEM. Water Resources and Power, 27(5):11-14, 171. (in Chinese)
    [35] Zheng Du, Zhang Rongzhu, Yang Qinye, 1979. On the natural zonation in the Qinghai Xizang Plateau. Acta Geographic Sinica, 34(1):1-11. (in Chinese)
    [36] Zhong Huaping, Liu Heng, Geng Leihua et al., 2006. Review of assessment methods for instream ecological flow requirements. Advances in Water Science, 173(3):430-434. (in Chinese)
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Determining Critical Support Discharge of a Riverhead and River Network Analysis:Case Studies of Lhasa River and Nyangqu River

doi: 10.1007/s11769-015-0760-3
Funds:  Under the auspices of National Natural Science Foundation of China (No. 31070405), Knowledge Innovation Programs of Chinese Academy of Sciences (No. KZCX2-XB3-08)
    Corresponding author: CHENG Genwei

Abstract: A riverhead is the demarcation point of continuous water channel and seasonal channel, which is characterized by a critical flow that can support a continuous water body. In this study, the critical support discharge (CSD) is defined as the critical steady flows required to form the origin of a stream. The CSD is used as the criterion to determine the beginning of the riverhead, which can be controlled by hydro-climate factors (e.g., annual precipitation, annual evaporation, or minimum stream flow in arid season). The CSD has a close correlation with the critical support/source area (CSA) that largely affects the density of the river network and the division of sub-watersheds. In general, river density may vary with regional meteorological and hydrological conditions that have to be considered in the analysis. In this paper, a new model referring to the relationship of CSA and CSD is proposed, which is based on the physical mechanism for the origin of riverheads. The feasibility of the model was verified using two watersheds (Duilongqu Basin of the Lhasa River and Beishuiqu Basin of the Nyangqu River) in Tibet Autonomous Region to calculate the CSA and extract river networks. A series of CSAs based on different CSDs in derived equation were tested by comparing the extracted river networks with the reference network obtained from a digitized map of river network at large scales. Comparison results of river networks derived from digital elevation model with real ones indicate that the CSD (equal to criterion of flow quantity (Qc)) are 0.0028 m3/s in Duilongqu and 0.0085 m3/s in Beishuiqu. Results show that the Qc can vary with hydro-climate conditions. The Qc is high in humid region and low in arid region, and the optimal Qc of 0.0085 m3/s in Beishuiqu Basin (humid region) is higher than 0.0028 m3/s in Duilongqu Basin (semi-arid region). The suggested method provides a new application approach that can be used to determine the Qc of a riverhead in complex geographical regions, which can also reflect the effect of hydro-climate change on rivers supply in different regions.

SHA Yukun, LI Weipeng, FAN Jihui, CHENG Genwei. Determining Critical Support Discharge of a Riverhead and River Network Analysis:Case Studies of Lhasa River and Nyangqu River[J]. Chinese Geographical Science, 2016, 26(4): 456-465. doi: 10.1007/s11769-015-0760-3
Citation: SHA Yukun, LI Weipeng, FAN Jihui, CHENG Genwei. Determining Critical Support Discharge of a Riverhead and River Network Analysis:Case Studies of Lhasa River and Nyangqu River[J]. Chinese Geographical Science, 2016, 26(4): 456-465. doi: 10.1007/s11769-015-0760-3
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