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Hydro-meteorology of Lake Chapala

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The Lerma-Chapala Watershed

Abstract

The purpose of this work is to examine fluctuations of the hydrometeorological characteristics of Lake Chapala, such as air temperature, precipitation, evaporation, atmospheric pressure, wind, water level in the lake and volume of flow of the rivers in the Lake Chapala region. Linear and nonlinear (maximum likelihood) methods of spectral analysis were used to investigate these phenomena. The main periods were identified in the range from hours to decades, obtaining estimates of the mean square amplitudes. The thermodynamic mode of Lake Chapala was also investigated, particularly the vertical-horizontal distribution of temperature of the water and currents. For this purpose, measurements of the distributions of currents and temperatures were performed. Measurements show that Lake Chapala has a quite complex thermodynamic regime and a significant vertical stratification. The differences in temperatures detected between the surface and bottom in the center of the lake were between 0.5 and 1°C and in the eastern part, from 2 to 3°C. The warmest water was located in the lake’s eastern shallow part. The temperature of the water in the central and southern parts of the lake was 1–2°C lower than that of the water at the northern shore. In all the cross-sections, ordinary spatial variations of 3°C on a distance of just 100 to 500 m were registered with a towed device. A buoy station registered the movements of the internal thermal front with a temperature fluctuation of 2°C. The advanced part of the front was accompanied by intense internal waves. The measurements show that the currents in the lake depend strongly on the intensity of the daytime breeze, which enhances wind velocities up to 10 cm s−1 resulting in increases of the water levels of up to 10–30 mm near the shoreline.

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References

  • Akaike H (1969) Power Spectrum Estimation Through Autoregressive Model Fitting. Ann Inst Statist Math 21, pp 407–419.

    Article  Google Scholar 

  • Bergamasco A and Gacic M (1996) Baroclinic Response of the Adriatic Sea to an Episode of Bora Wind. JPO, 26(6), pp 1354–1369.

    Article  Google Scholar 

  • Burg, JP (1972) The Relationship Between Maximum Entropy Spectra and Maximum Likelihood Spectra. Geophysics, 37, pp 417–428.

    Article  Google Scholar 

  • Burg JP (1967) Maximum Entropy Spectral Analysis. Paper presented at the 37th Annual International Soc Exsplor Geophys Meeting, Oklahoma City, pp 111–123.

    Google Scholar 

  • Escalante ME (1992) Transporte de Contaminación en el Lago de Chapala (etapa inicial). Informe técnico, CH-9206/07, pp 43–52.

    Google Scholar 

  • Filonov AE, Monzon, CO and Tereshchenko IE (1996) A Technique for Fastconductivity-temperature-depth Oceanographic Surveys. Geofísica Internacional, 35(4), pp 415–420.

    Google Scholar 

  • Filonov AE and Tereshchenko IE (1997) Preliminary Results on the Thermic Regime of Chapala Lake, Mexico. Suppl to EOS Transact, AGU, 78(46).

    Google Scholar 

  • Filonov AE, Tereshchenko IE, Monzon CO (1998) On the Oscillations of the Hydro-Meteorological Characteristics in the Region of Lake Chapala in Time Frames of the Days to Tens of Years. Geofísica Internacional 37 (4), 293–307.

    Google Scholar 

  • Filonov AE (1998). ¿Morirá el lago de Chapala? Existe la Posibilidad de Salvarlo. Teorema 3, 16–18.

    Google Scholar 

  • Gertman IF (1997) An Anticipated Height of the Caspian Sea Level in the First Half of the 21st Century as Inferred from the Analysis of Secular Cycles of Solar Activity. Russian Meteorology and Hydrology, 12, pp 72–76.

    Google Scholar 

  • Gonella J (1972) A Rotary-components Method for Analysis Meteorological and Oceanographic Vector Time Series. Deep-Sea Res, 19, pp 833–846.

    Google Scholar 

  • Guzmán MA and Morelos ML (1992) La Bibliografía del Lago de Chapala (Análisis hasta 1987). Tiempo de Ciencias, 28, pp 1–22.

    Google Scholar 

  • Hansen AM and van Afferden M (2001) Toxic Substances: Sources, Accumulation and Dynamics In: The Lerma-Chapala Watershed: Evaluation and Management (Hansen AM and van Afferden M eds) Kluwer Academic/Plenum Publishers, London.

    Google Scholar 

  • Jauregui E (1995) Rainfall Fluctuations and Tropical Storm Activity in Mexico. Erdrunde, Band 49, pp 39–48.

    Google Scholar 

  • Jenkins GM and Watts DG (1969) Spectral Analysis and Its Applications. Holden-Day. San Francisco-Cambridge-London-Amsterdam, 345 p.

    Google Scholar 

  • Konyaev KV (1990) Spectral Analysis of Physical Oceanographic Data AA BALKEMA/ROTTERDAM, 200 p.

    Google Scholar 

  • Lappo CC and Reva YA (1997) A Comparative Analysis of Long-term Variability of the Black and Caspian Sea Levels. Russian Meteorology and Hydrology, 12, pp 41–50.

    Google Scholar 

  • LeBlond PH and Mysak LA (1978) Waves in the Ocean. Elsevier Scientific Publications Co, Amsterdam, 602 p.

    Google Scholar 

  • León LF (1994) Modelado del Transporte de Contaminantes. Caso de Estudio: Lago de Chapala. Gaceta del Lerma, Número especial, pp 94–99.

    Google Scholar 

  • Lind OT, Doyle R, Vodopich DS, Trotter BT, Glass J, Dávalos-Lind L and Limón G (1992) Lago de Chapala: Factores que Controlan la Producción de Fitoplancton. Ing Hidrául en México, pp 17–29.

    Google Scholar 

  • Mason M, Guzkovska CG and Sreet-Perrot FA (1994) The Response of Lake Levels and Areas to Climate Change. Climate change, 27(2), pp 124–136.

    Article  Google Scholar 

  • Meleshko VP, Golitsin GS, Volodin EM, Galin VY, Govorkova VA, Meshcherskaya AV, Mokhov II, Pavlova TV, Sporyshev PV (1998) Calculation of Water Components over the Caspian Sea Watershed with a Set of Atmospheric General Circulation Models. Izvestiya, Atmospheric and Oceanic Physics, 34(4), pp 534–542.

    Google Scholar 

  • Mooers CNK (1973) A Technique for the Cross-spectrum Analysis of Pairs of Complex Valued Times Series with Emphasis on Properties of Polarized Components and Rotational Invariance. Deep-Sea Res., 20, pp 1129–1141.

    Google Scholar 

  • Mosiño P and García E (1973) The Climate of Mexico. In the climates of North America. Elsevier Scientific Publishing Company, Amsterdam, 345–404 p.

    Google Scholar 

  • Musilev SV, Privalsky VE and Ratkovitsh DY (1982) Stochastic Models in an Engineering Hydrology. Moscow, Nauka. 184 p.

    Google Scholar 

  • Ostrovsky LA and Stepanyants YA (1989) Do Internal Solitons Exist in the Ocean? Rev of Geophys 27(3), pp 293–310.

    Article  Google Scholar 

  • Palmén E and Newton CW (1969) Atmospheric Circulation Systems. Academic Press, NY.

    Google Scholar 

  • Parsmar R and Stigebrandt A (1997) Observed Damping of Barotropic Seiches through Baroclinic Waves Drag in the Gullmar Fjord. JPO, 27(6), pp 849–857.

    Article  Google Scholar 

  • Pourahmadi M and Salehi H (1984) On subordination and Transformation of Harmonizable and Periodically Correlated Processes. Lect Notes Math, 1080, pp 195–213.

    Article  Google Scholar 

  • Privalsky VE (1985) Climatic Variability, Stochastic Models, Forecast, Spectra. Moskow, Nauka, 145 p.

    Google Scholar 

  • Riehl H (1979) Climate and Weather in the Tropic. Acad Press London-NY-San Francisco.

    Google Scholar 

  • Rodriguez AA (1994) Programa de Control de Malezas Acuáticas en el Lago de Chapala Jal. CNA-IMTA, Mexico, 241 p.

    Google Scholar 

  • Rozhskov VA (1979) Metodi Veroyatnostnovo Analiza Okeanologicheskix Procesov. Leningrad, Gidrometeoizdat, 280 p.

    Google Scholar 

  • Sandoval F (1994) Pasado y Futuro del Lago de Chapala. UNED, Guadalajara, México, 94 p.

    Google Scholar 

  • Scorer RS (1978) Environmental Aerodynamics. NY-London-Sydney-Toronto.

    Google Scholar 

  • Simons TJ (1984) Effect of Outflow Diversion on Calculation and Water quality of Lake Chapala. Report Project MKX CWS-01, 23 p.

    Google Scholar 

  • Turner JS (1973) Buoyancy Effects in Fluid. Cambridge, at the University Press.

    Book  Google Scholar 

  • Volzinger NE, Klevanny KA, Pelinovsky EN (1989) Long-Wave Dynamics of the Coastal Zone. Leningrad, Hydrometeoizdat, 272.

    Google Scholar 

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Filonov, A.E., Tereshchenko, I.E., Monzón, C.O. (2001). Hydro-meteorology of Lake Chapala. In: Hansen, A.M., van Afferden, M. (eds) The Lerma-Chapala Watershed. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-0545-7_7

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  • DOI: https://doi.org/10.1007/978-1-4615-0545-7_7

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-5125-2

  • Online ISBN: 978-1-4615-0545-7

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