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Towards understanding hydroclimatic change in Victoria，Australia——preliminary insights into the “Big Dry”
hydroclimatic change Victoria preliminary insights Big Dry
2010/4/7
Since the mid-1990s the majority of Victoria, Australia, has experienced severe drought conditions (i.e. the "Big Dry") characterized by streamflow that is the lowest in approximately 80 years of reco...
THE EFFECT OF SHELTER BELTS AND IRRIGATION ON WATER USE IN A DRY REGION
SHELTER BELTS IRRIGATION WATER USE DRY REGION
2009/10/29
This article describes an investigation of irrigation and water use in an
area with wooden shelter belts. Soil moisture was measurcd using a
neutron moisture probe and tensiometers. The soil is dccp...
Long-Term Analysis and Short-Term Forecasting of Dry Spells by Palmer Drought Severity Index
Long-Term Analysis Short-Term Forecasting Dry Spells Palmer Drought Severity Index
2009/10/23
This paper presents a non-homogeneous Markov chain approach for analyzing
drought characteristics using the Palmer Drought Severity Index (PDSI). The
probability mass functions of occurrence of diff...
Thermo-hydrological Responses to an Exceptionally Warm,Dry Summer in a High Arctic Environment
Thermo-hydrological Responses Dry Summer High Arctic Environment
2009/10/22
1998 was a very warm year for Canada and the High Arctic was no exception. A
typical area was Resolute, Cornwallis Island, Nunavut, where the thaw season
was extended and the thawing degree-days wer...
ESTIMATING GROUNDWATER RECHARGE IN THE DRY ZONE OF SRI LANKA USING WEEKLY, 10-DAILY OR MONTHLY EVAPOTRANSPIRATION DATA
GROUNDWATER MONTHLY EVAPOTRANSPIRATION DATA DRY ZONE
2009/10/19
Howard and Lloyd (1979) have shown that daily values for rainfall and potential evapotranspiration are required in estimating recharge with a soil water balance model. However, available data may not ...
MULTI-CRITERIA IRRIGATION PLANNING FOR DRY SEASON CROPS
artificial neural network back-propagation neural network genetic algorithms
2009/10/12
The geometry and modeling parameters of an artificial neural network (ANN) have significant effects on its predictive performance efficiency. The optimal geometry of an ANN is problem-dependent. Altho...