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Using path analysis to identify the influence of climatic factors on spring peak flow dominated by snowmelt in an alpine watershed

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Abstract

Spring snowmelt peak flow (SSPF) can cause serious damage. Precipitation as rainfall directly contributes to the SSPF and influences the characteristics of the SSPF, while temperature indirectly impacts the SSPF by shaping snowmelt rate and determining the soil frozen state which partitions snowmelt water into surface runoff and soil infiltration water in spring. It is necessary to identify the important and significant paths of climatic factors influencing the SSPF and provide estimates of the magnitude and significance of hypothesized causal connections between climatic factors and the SSPF. This study used path analysis with a selection of five factors — the antecedent precipitation index (API), spring precipitation (SP), winter precipitation as snowfall (WS), <0°C temperature accumulation in winter (|ATN|), and average >0°C temperature accumulation in spring (AT) — to analyze their influences on the SSPF in the Kaidu River in Xinjiang, China. The results show that |ATN|, AT and WS have a significant correlation with the SSPF, while API and SP do not show a significant correlation. AT and WS directly influence the SSPF, while as the influence of |ATN| on SSPF is indirect through WS and AT. The indirect influence of |ATN| on SSPF through WS accounts for 69% of the total influence of |ATN| on SSPF. Compared to the multiple linear regression method, path analysis provides additional valuable information, including influencing paths from independent variables to the dependent variable as well as direct and indirect impacts of external variables on the internal variable. This information can help improve the description of snow melt and spring runoff in hydrologic models as well as the planning and management of water resources.

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References

  • Ahmad S, Simonovic S (2005) An Artificial Neural Network model for generating hydrograph from hydro-meteorological parameters. Journal of Hydrology 315(1–4): 236–251. DOI: 10.1016/j.jhydrol.2005.03.032.

    Article  Google Scholar 

  • Akaike H (1974) A new look at the statistical model identification. IEEE Transaction on Automatic Control 19(6): 716–723. DOI: 10.1109/TAC.1974.1100705.

    Article  Google Scholar 

  • Azuma S, Chasnoff I (1993) Outcome of children prenatally exposed to cocaine and other drugs: a path analysis of threeyear data. Official Journal of the American Academy of Pediatrics 92(3): 396–402.

    Google Scholar 

  • Bai L, Li L, Li Q, et al. (2012) Relationship between soil’s seasonal freezing process and daily accumulative hourly temperature in northern Xinjiang region. Journal of Glaciology and Geocryology 34(2): 328–335. ( In Chinese)

    Google Scholar 

  • Burnham K, Anderson D (2002) Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach (2nd ed.). Springer-Verlag, ISBN 0-387-95364-7.

    Google Scholar 

  • Chen D (2003) Application of path analysis on descriptive study of epidemiology. Chinese Journal of Disease Control & Prevention 7(4): 344–346. (In Chinese). DOI: 10.3969/j.issn.1674-3679.2003.04.027.

    Google Scholar 

  • Deshpande R, Zaltman G (1982) Factors affecting the use of market research information: a path analysis. Journal of Marketing Research 19(1): 14–31. DOI: 10.2307/3151527.

    Article  Google Scholar 

  • Han P, Xue Y, Su H (2003) Precipitation signal of the climatic shift in Xinjiang region. Journal of Glaciology and Geocryology 25: 179–182.(In Chinese). DOI: 10.3969/j.issn.1000-0240.2003.02.011.

    Google Scholar 

  • Jonas T, Rixen M, Stoeckli V, et al. (2008) How alpine plant growth is linked to snow cover and climate variability. Journal of Geophysical Research: Biogeosciences (2005–2012) 113(G3). DOI: 10.1029/2007JG000680.

    Google Scholar 

  • Kalra A, Ahmad S, Nayak A, et al. (2013b) Increasing streamflow forecast lead time for snowmelt driven catchment based on large scale climate patterns. Advances in Water Resources 53: 150–162. DOI: 10.1016/j.advwatres.2012.11.003.

    Article  Google Scholar 

  • Kalra A, Li L, Li X, et al. (2013a) Improving streamflow forecast lead time using oceanic-atmospheric oscillations for Kaidu River Basin, Xinjiang, China. ASCE Journal of Hydrologic Engineering 18(8): 1031–1040. DOI: 10.1061/(ASCE)HE.1943-5584.0000707.

    Google Scholar 

  • Kaplan E, Thode H (1981) Water quality, energy, and socioeconomics: Path analyses for studies of causality. Water Resources Research 17(3): 491–503. DOI: 10.1029/WR017i003p00491.

    Article  Google Scholar 

  • Karlin S (1987) Path analysis in genetic epidemiology and alternatives. Journal of Educational Statistics 12(2): 165–177.

    Article  Google Scholar 

  • Karlin S, Cameron E, Chakraborty R, et al. (1983) Path analysis in genetic epidemiology: a critique. The American Journal of Human Genetics 35(4): 695–732.

    Google Scholar 

  • Kattelmann R (1991) Peak flows from snowmelt runoff in the Sierra Nevada, USA. In: Snow Hydrology and Forests in High Alpine Areas (Proceedings of the Vienna Symposium, August 1991). IAHS Publ.. pp 203–211.

    Google Scholar 

  • Kozak M, Kang M (2006) Note on modern path analysis in application to crop science. Communications in Biometry and Crop Science 1(1): 32–34.

    Google Scholar 

  • Kuusisto E (1984) Snow Accumulation and Snowmelt in Finland. Water Research Institute, Finland.

    Google Scholar 

  • Li L, Simonovic S (2002) System dynamics model for predicting floods from snowmelt in North American prairie watersheds. Hydrological Processes 13: 2645–2666. DOI: 10.1002/hyp.1064.

    Article  Google Scholar 

  • Li L, Shang M, Zhang M, et al. (2014) Snowmlet runoff simulation driven by APHRODITE precipitation dataset. Advances in Water Science 25(1): 53–59. (In Chinese)

    Google Scholar 

  • Li X, Guo L, Zhang F, et al. (2011) Impact of climate factors on runoff in the Kaidu River watershed: path analysis of 50-year data. Journal of Arid Land 3(2): 132–140. DOI: 10.3724/SP.J.1227.2011.00132.

    Article  Google Scholar 

  • Li X, Zhang F, Shang M, et al. (2012) Path analysis on impacts of meterological factors on runoff from Tianshan Mountains: a case study on Manas River and Kaidu River watersheds. Resources Science. 34(4): 652–659. (In Chinese). Doi: 1007-7588(2012)04-0652-08.

    Google Scholar 

  • Li Y, Tan Y, Jiang F, et al. (2003) Study on Hydrological Features of the Kaidu River and the Bosten Lake in the Second Half of 20th Century. Journal of Glaciology and Geocryology 25(2): 215–218. (In Chinese)

    Google Scholar 

  • Liang C, Yang N, Chen N, et al. (1993) A Preliminary Study on Snow Melt Flood of Ningjia River, Tianshan Mountains. Arid Land Geography 16(03): 75–79. (In Chinese)

    Google Scholar 

  • Liu Y, Zhang X, Sun Y (2011) Spatiotemporal variations of rainy season precipitation in northwest China arid region under global warming. Advances in Climate Change Research 7(02): 97–103. (In Chinese). DOI: 10.3969/j.issn.1673-1719.2011.02.004

    Google Scholar 

  • MacDonald L, Hoffman J (1995) Causes of peak flows in Northwestern Montana and Northeastern Idaho. Journal of the American Water Resources Association 31(1): 79–95. DOI: 10.1111/j.1752-1688.1995.tb03366.x.

    Article  Google Scholar 

  • Mirchi A, Madani K, Watkins D, et al. (2012) Synthesis of System Dynamics Tools for Holistic Conceptualization of Water Resources Problems. Water Resources Management 26(9): 2421–2442. DOI: 10.1007/s11269-012-0024-2.

    Article  Google Scholar 

  • Mosquera-Machado S, Ahmad S (2007) Flood hazard assessment of Atrato river in Colombia. Water Resour Manag 21(3): 591–609. DOI: 10.1007/s11269-006-9032-4.

    Article  Google Scholar 

  • Oetting E, Beauvais F (1987) Peer cluster theory, socialization characteristics, and adplescent drug use: a path analysis. Journal of Psychology 34(2): 205–213. DOI: 10.1037/0022-0167.34.2.205.

    Google Scholar 

  • Peterson D, Smith R, Hager S, et al. (2004) Air Temperature and Snowmelt Discharge Characteristics, Merced River at Happy Isles, Yosemite National Park, Central Sierra Nevada. In: Proceedings of the Twentieth Annual Pacific Climate Workshop, Technical Report 72. pp 53–64. DOI: 517015c6e4b05024ef3cd709.

    Google Scholar 

  • Puri S, Stephen H, Ahmad S. (2011a) Relating TRMM precipitation radar backscatter to water stage in wetlands. Journal of Hydrology 401(3–4): 240–249. DOI: 10.1016/j.jhydrol.2011.02.026.

    Article  Google Scholar 

  • Puri S, Stephen H, Ahmad S. (2011b) Relating TRMM Precipitation Radar Land Surface Backscatter Response to Soil Moisture in the Southern United States. Journal of Hydrology 402(1): 115–125. DOI: 10.1016/j.jhydrol.2011.03.012.

    Article  Google Scholar 

  • Ren S, Wang S, Wang L (2010) An economic analysis on tourist of Zhoushan Islands. Proceedings of he 2010 International Conference on Regional Management Science and Engineering: 405–416.

    Google Scholar 

  • Scheiner S, Mitchell R, Callahan H. (2000) Using path analysis to measure natural selection. Journal of Evolutionary Biology 3, 423–433. DOI: 10.1046/j.1420-9101.2000.00191.x.

    Article  Google Scholar 

  • Shang M, Li L, Yao Y, et al. (2013) Analysis of factors affecting peak flow of the Kaidu river on the southern slope of the Tianshan Mountains. Journal of Arid Land Resources and Environment 27(9): 85–91. (In Chinese)

    Google Scholar 

  • Stephen H, Ahamd S, Piechota T, et al. (2010) Relating Surface Backscatter Response from TRMM Precipitation Radar to Soil Moisture: Results over a Semi-Arid Region. Hydrology and Earth System Sciences 14(2): 193–204. DOI: 10.5194/hess-14-193-2010.

    Article  Google Scholar 

  • Su H, Shen Y, Han P, et al. (2007) Precipitation and its impact on water resources and ecological environment in Xinjiang Region. Journal of Glaciology and Geocryology 29(3): 343–350. (In Chinese). DOI: 10.3969/j.issn.1000-0240.2007.03.002.

    Google Scholar 

  • Tao H, Wang G, Shao C, et al. (2007) Climate change and its effects on runoff at the headwater of Kaidu River. Journal of Glaciology and Geocryology 3: 413–417. (In Chinese)

    Google Scholar 

  • Todhunter P (2001) A Hydroclimatological Analysis of the Red River of the North Snowmelt Flood Catastrophe of 1997. Journal of the American Water Resources Association 5: 1263–1278. DOI: 10.1111/j.1752-1688.2001.tb03637.x.

    Article  Google Scholar 

  • Trenberth K (2008) The impact of climate change and variability on heavy precipitation, floods, and droughts. Encyclopedia of Hydrological Sciences. DOI: 10.1002/0470848944.hsa211.

    Google Scholar 

  • Trenberth K (2011) Changes in precipitation with climate change. Climate Research 47(1): 123–138. DOI: 10.3354/cr00953.

    Article  Google Scholar 

  • Vedwan N, Ahamd S, Miralles-Wihelm F, et al. (2008) Institutional evolution in Lake Okeechobee Management in Florida: Characteristics, Impacts, and Limitations. Water Resources Management 22(6): 699–718. DOI: 10.1007/s11269-007-9187-7.

    Article  Google Scholar 

  • Verdhen A, Prasad T (1993) Snowmelt runoff simulation models and their suitability in Humalaya conditions. IAHS Publications-Publications of the International Association of Hydrological Sciences 218: 239–248.

    Google Scholar 

  • Wang Z, Dilimulat, Lin C (2002) Study on the Spring Floods Caused by Snow Melt Water in Low-mountain and Hill Regions of Northern Piedmont of the Tianshan Mountains — a Case Study in the Paleochannels of Sangong River. Arid Land Geography 04: 302–308. (In Chinese)

    Google Scholar 

  • Wei S, Chang X, Ma J, et al. (2005) Analysis on the Meteorological Factors Affecting the Occurence of Snow-melt Floods in Sangou Stream in the Sangong River Watershed. Arid Zone Research 22(4): 476–480. (In Chinese)

    Google Scholar 

  • Weinber R, Shear C, Avert L, et al. (1978) Path analysis of environmental and genetic influences on blood pressure. American Journal of Epidemiology 109(5): 588–596.

    Google Scholar 

  • Willis W, Carlson C, Alessi J, et al. (1961) Depth of Freezing and Spring Run-off as Related to Fall Soil-moisture Level. Canadian Journal of Soil Science 41(1): 115–123. DOI: 10.4141/cjss61-014.

    Article  Google Scholar 

  • Wittrock V, Ripley E (1999) The predictability of autumn soil moisture levels on the Canadian Prairies. International Journal of Climatology 3: 271–289. DOI: 10.1002/(SICI)1097-0088(19990315)19:3〈271::AID-JOC362〉3.0.CO;2-G.

    Article  Google Scholar 

  • Wright S (1921) Correlation and causation. Journal of Agricultural Research 20(7): 557–585. DOI: 10.1234/12345678.

    Google Scholar 

  • Wright S (1934) The method of path coefficients. The Annals of Mathematical Statistics 5(3): 161–215. DOI: 10.1214/aoms/1177732676.

    Article  Google Scholar 

  • Yu H, Liu J (2005) Estimation of spring snowmelt in small watershed of hill place in Xinjiang. Water Resources Planning and Design 03: 25–27. (In Chinese)

    Google Scholar 

  • Zhang Q, Hu B (1985) Agricultural experiment statistical model and BASIC procedures. Zhejiang science and technology press, China. (In Chinese)

    Google Scholar 

  • Zhang Y, Mao R, Hu C, et al. (2004) Path analysis on the relationship between soil fertility and maize production in the North China Plain located in front of Taihang Mountain. Agricultural Research in the Arid Areas 22(3): 51–55. (In Chinese)

    Google Scholar 

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Authors and Affiliations

  1. State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, 830011, China

    Fei-Yun Zhang, Lan-Hai Li & Xue-Mei Li

  2. Graduate School, University of Chinese Academy of Sciences, Beijing, 100049, China

    Fei-Yun Zhang

  3. Department of Civil and Environmental Engineering, University of Nevada, Las Vegas, NV, 89154-4015, USA

    Sajjad Ahmad

  4. Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou, 730070, China

    Xue-Mei Li

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  1. Fei-Yun Zhang
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  2. Lan-Hai Li
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  4. Xue-Mei Li
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Correspondence to Lan-Hai Li.

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Zhang, FY., Li, LH., Ahmad, S. et al. Using path analysis to identify the influence of climatic factors on spring peak flow dominated by snowmelt in an alpine watershed. J. Mt. Sci. 11, 990–1000 (2014). https://doi.org/10.1007/s11629-013-2789-z

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  • DOI: https://doi.org/10.1007/s11629-013-2789-z

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