全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

La Ni?a Impacts on Austral Summer Extremely High-Streamflow Events of the Paranaíba River in Brazil

DOI: 10.1155/2013/461693

Full-Text   Cite this paper   Add to My Lib

Abstract:

The extremely high-streamflow events of the Paranaíba River basin are found to be associated with La Ni?a phenomenon during December–February (DJF). Extreme events are identified based on their persistent flow for seven days and more after taking retention time into consideration. The extremely high-streamflow events are associated with the La Ni?a years; 80% of the high-streamflow events have occurred during La Ni?a phases. Therefore, a very-significant 80% and above correspondence of the La Ni?a events and the seasonal streamflow anomalies are found in DJF. Although climate variations have direct relationship with the rainfall, streamflow variations are considered as the surrogates to rainfalls. However, apart from climate variations the anthropogenic and land-use changes also influence streamflow variations. In this study, we have applied multivelocity TOPMODEL approach and residual trend analysis to examine the impact of land-use to the streamflow at the Fazenda Santa Maria gauge stations. However, the model residual trend analysis of the TOPMODEL approach cannot quantify the extent of land-use impact. Thus, La Ni?a phase is important components to understand and predict the streamflow variations in the Paranaíba River basin. 1. Introduction Streamflow plays a major role in the livelihood of the people in a river catchment. Hence, the scientific analysis of streamflow is very essential for the present and future generations. The influences of climate variability on the streamflows have been studied by Sahu et al., [1–3] in their previous studies of Indonesia, and found very good correlation of the impact of climate variability on the streamflow. Several studies performed on southeastern South America have used streamflows as indicators of climatic variability from the interannual to the seasonal scale [4–6]. It is stated that the climate variability and changes can be studied by analyzing river flows as a surrogate to rainfall, under the assumption that changes in the rainfall are reflected and likely amplified in streamflows [7, 8]. Moreover, it is easier to detect a change in streamflow than to directly observe changes in the basic climatic variables [9]. The Paranaíba River flows in the Rio Paranaíba of Brazil and in the state of Minas Gerais of the Mata da Corda Mountains (19°13′21′′S and 46°10′28′′W). The river is flowing at an altitude of 1,148 meters. The length of the river is approximately 1,000 kilometers. The Paranaíba and the Grande River both confluence and then form the second largest Parana River of Brazil, at the point to make the

References

[1]  N. Sahu, S. K. Behera, Y. Yamashiki, K. Takara, and T. Yamagata, “IOD and ENSO impacts on the extreme stream-flows of Citarum river in Indonesia,” Climate Dynamics, vol. 39, no. 7-8, pp. 1673–1680, 2012.
[2]  N. Sahu, Y. Yamashiki, S. Behera, K. Takara, and T. Yamagata, “Large impacts of indo-pacific climate modes on the extreme streamflows of citarum river in indonesia,” Journal of Global Environment Engineering, vol. 17, pp. 1–8, 2012.
[3]  N. Sahu, S. K. Behera, J. V. Ratnam et al., “El Nino Modoki connection to extremely-low streamflow of the Paranaiba River in Brazil,” Climate Dynamics, 2013.
[4]  S. Hastenrath, “Diagnostic and prediction of anomalous river discharges in northern South America,” Journal of Climate, vol. 3, pp. 1080–1096, 1990.
[5]  C. R. Mechoso and G. P. Iribarren, “Streamflow in Southeastern America and the Southern oscillation,” Journal of Climate, vol. 5, no. 12, pp. 1535–1539, 1992.
[6]  J. L. Genta, G. Perez-Iribarren, and C. R. Mechoso, “A recent increasing trend in the streamflow of rivers in southeastern South America,” Journal of Climate, vol. 11, no. 11, pp. 2858–2862, 1998.
[7]  F. H. S. Chiew and T. A. McMahon, “Detection of trend or change in annual flow of Australian rivers,” International Journal of Climatology, vol. 13, no. 6, pp. 643–653, 1993.
[8]  A. W. Robertson and C. R. Mechoso, “Interannual and decadal cycles in river flows of southeastern South America,” Journal of Climate, vol. 11, no. 10, pp. 2570–2581, 1998.
[9]  J. E. Richey, C. Nobre, and C. Deser, “Amazon River discharge and climate variability: 1903 to 1985,” Science, vol. 246, no. 4926, pp. 101–103, 1989.
[10]  IGAM (Institute of Water Management of Minas Gerais), “Surface water quality monitoring in the Paranaiba river basin during 2007,” Annual Report, IGAM, 2008, Portuguese.
[11]  P. Aceituno, “On the fluctioning of the Southern oscillation in the South America sector,” Monthly Weather Review, vol. 116, no. 3, pp. 505–524, 1988.
[12]  J. A. Marengo, “Variations and change in South American streamflow,” Climatic Change, vol. 31, no. 1, pp. 99–117, 1995.
[13]  N. O. García and W. M. Vargas, “The temporal climatic variability in the 'Rio de la Plata' basin displayed by the river discharges,” Climatic Change, vol. 38, no. 3, pp. 359–379, 1998.
[14]  R. V. Andreoli and M. T. Kayano, “ENSO-related rainfall anomalies in South America and associated circulation features during warm and cold Pacific decadal oscillation regimes,” International Journal of Climatology, vol. 25, no. 15, pp. 2017–2030, 2005.
[15]  M. T. Kayano and R. V. Andreoli, “Relations of South American summer rainfall interannual variations with the Pacific Decadal Oscillation,” International Journal of Climatology, vol. 27, no. 4, pp. 531–540, 2007.
[16]  K. J. Beven, R. Lamb, P. Quinn, R. Romanowicz, and J. Freer, “Topmodel,” in Computer Models of Watersh, V. P. Singh, Ed., pp. 627–668, Water Resources Publication, 1995.
[17]  Y. Hirabayashi, S. Kanae, K. Motoya, K. Masuda, and P. Doll, “A 59-year (1948–2006) global near-surface meteorological data set for land surface models,” Development of Daily Forcing and Assessment of Precipitation Intensity, Hydrological Research Letters, vol. 2, pp. 36–40, 2008.
[18]  C. H. B. Priestley and R. J. Taylor, “On the assessment of surface heat flux and evaporation using large-scale parameters,” Monthly Weather Review, vol. 100, no. 2, pp. 81–92, 1972.
[19]  E. Kalnay, M. Kanamitsu, R. Kistler et al., “The NCEP/NCAR 40-year reanalysis project,” Bulletin of the American Meteorological Society, vol. 77, no. 3, pp. 437–471, 1996.
[20]  B. Liebman and C. A. Smith, “Description of a complete (Interpolated) outgoing longwave radiation dataset,” Bulletin of the American Meteorological Society, vol. 77, pp. 1275–1277, 1996.
[21]  R. W. Reynolds, T. M. Smith, C. Liu, D. B. Chelton, K. S. Casey, and M. G. Schlax, “Daily high-resolution-blended analyses for sea surface temperature,” Journal of Climate, vol. 20, no. 22, pp. 5473–5496, 2007.
[22]  L. B. Leopold, M. G. Wolman, and J. P. Miller, Fluvial Processes in Geomorphology, Dover Publications, 1964.
[23]  R. V. Silva, Y. Yamashiki, K. Tatsumi, and K. Takara, “Large-scale runoff routing modeling using TOPMODEL,” Annual Journal of Hydraulic Engineering, vol. 54, pp. 91–96, 2010.
[24]  R. V. Silva, F. Grison, and M. Kobiyama, “Conceptual investigation of time of concentration: Case study of the Pequeno River watershed, Sao Jose dos Pinhais, PR, Brazil,” in From Headwaters To the Ocean, Taniguchi, Ed., Taylor & Francis Group, London, UK, 2009.
[25]  J. E. Nash and J. V. Sutcliffe, “River flow forecasting through conceptual models part I—a discussion of principles,” Journal of Hydrology, vol. 10, no. 3, pp. 282–290, 1970.
[26]  M. Hollander and D. A. Wolfe, Nonparametric Statistical Methods, John Wiley & Sons, Hoboken, NJ, USA, 1999.

Full-Text

Contact Us

[email protected]

QQ:3279437679

WhatsApp +8615387084133