2010
DOI: 10.1016/j.jhydrol.2010.02.015
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A conceptual and statistical approach for the analysis of climate impact on ground water table fluctuation patterns in cold conditions

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Cited by 69 publications
(42 citation statements)
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“…In order to reduce the calibration parameters, the threshold temperatures Tmin, Tm, Tf and the exponent e were set to constant. The calibration parameters were Tmax, Cs, Cr, Km, Kf, and R and they were constrained between values found in the literature [52,53,[56][57][58] Mean monthly value of snow water equivalent was calculated from the calibrated data during 1971-2000, which represented present data for comparison with the scenario data. Then, using the same parameter sets, temperature and precipitation from the A1B and B1 scenario data during 2021-2100 were used to simulate the snow water equivalent to be used as the initial infiltration rate (UZF1 FINF) value for UZF1 and MODFLOW-2005.…”
Section: Model Calibrations For the Snow And Pet Modelsmentioning
confidence: 99%
“…In order to reduce the calibration parameters, the threshold temperatures Tmin, Tm, Tf and the exponent e were set to constant. The calibration parameters were Tmax, Cs, Cr, Km, Kf, and R and they were constrained between values found in the literature [52,53,[56][57][58] Mean monthly value of snow water equivalent was calculated from the calibrated data during 1971-2000, which represented present data for comparison with the scenario data. Then, using the same parameter sets, temperature and precipitation from the A1B and B1 scenario data during 2021-2100 were used to simulate the snow water equivalent to be used as the initial infiltration rate (UZF1 FINF) value for UZF1 and MODFLOW-2005.…”
Section: Model Calibrations For the Snow And Pet Modelsmentioning
confidence: 99%
“…Apart from the direct analysis of the relationship between groundwater dynamics and climate variability, longterm groundwater data are used to calibrate the parameters of auto-regressive models which are afterwards applied to climate change scenarios (e.g. Okkonen and Klove, 2010).…”
Section: Introductionmentioning
confidence: 99%
“…In the Qinghai-Tibet Plateau of China, groundwater flow may play an important role in permafrost degradation (Cheng and Wu 2007), where degrading permafrost caused regional lowering of the groundwater table, which has resulted in falling lake levels, shrinking wetlands, and degenerating grasslands. Climate change is expected to reduce snow cover and soil frost in boreal environments of Finland, which will increase winter floods and cause the maximum recharge and water levels to occur earlier in the year in shallow unconfined aquifers (Okkonen et al 2009;Okkonen and Kløve 2010).…”
Section: Groundwater Rechargementioning
confidence: 99%