نتایج جستجو برای: wg model includes daily maximum temperature
تعداد نتایج: 2959045 فیلتر نتایج به سال:
River flow forecasting plays an important role in planning, management and operation of water resources. To achieve this goal and according to the phenomenon of global warming, it is necessary to simulate the daily time series of rainfall and runoff for future periods. Therefore, it is important to survey the detection of climate change event and its impact on precipitation and runoff in the ba...
Climate change is an unprecedented change are taking place. Changes of meteorological parameters such as precipitation, maximum and minimum temperatures. Since weather forecasting is important for these parameters, in this study, the performance of Statistical Downscaling Model (SDSM and Lars-WG) were used to predict temperature and precipitation and mean of these changes for the periods 2046-2...
Global warming and temperature rise will have many effects on different sectors, including agriculture, the warming of the earth will increase the rate of evaporation, and consequently the increase in the demand for agricultural products will increase. In this study, in order to monitor the effect of global warming on Mughan Plain wheat, using the LARS-WG model as a relatively inexpensive and a...
An empirical model is developed to predict daily maximum stream temperatures for the summer period. The model is created using a stepwise linear regression procedure to select significant predictors. The predictive model includes a prediction confidence interval to quantify the uncertainty. The methodology is applied to the Truckee River in California and Nevada. The stepwise procedure selects ...
introduction because of the vital role of water in human life, examining the phenomenon of climate change effects on drought severity and frequency is important for any area of interest. nowadays, climate researchers considers the effects of climate change and climate simulations by using the atmospheric-ocean general circulation models. to achieve the prediction of climatologically parameters,...
run-out-table (rot) is located between last finishing stand and down coiler in a hot strip mill. as the hot steel strip passes from rot, water jets impact on it from top and bottom and strip temperature decreases approximately from 800-950 °c to 500-750°c. the temperature history that strip experience while passing through rot affects significantly the metallurgical and mechanical properties, s...
Effect of Climate Change on potato Production and assessment adaptation strategies in Fereydounshahr
In order to study was to evaluate future climate Fereydunshahr of Isfahan for the next hundred years and its effect on potato production in Fereydunshahr. To forecast future climate conditions in Fereydunshahr were collected daily climate data including maximum and minimum temperature, rainfall and sunshine hours in this region during the period 1982 to 2012. In this study was used to simulate ...
abstract in this research, four meteorological set of data including maximum temperature, minimum temperature, precipitation and radiation from echo-g, under a1scenario have been used for climate change detection over south khorasan. echo-g is a general circulation model that currently is used in hamburg university and korea meteorological research institute. in this research climate change ass...
Ž . Ž . Ž . Ž . Feed intake FI , feed efficiency FE , protein efficiency ratio PER and weight gain WG of Ž . juvenile channel catfish initially weighing 15.0"0.23 g 10–12 cm initial total length were Ž evaluated under three regimes of time-varying water temperature mean daily water temperature . Ž for Stoneville, MS, USA; mean q3; and, mean y38C and three of dissolved oxygen DO; 100, . 70 and 3...
Abstract Considering that water resources are at risk from climate change, the study of temperature and precipitation changes in the coming years can lead to droughts such as droughts, sudden floods, high evaporation and environmental degradation. To this end, global climate models (GCMs) are designed to assess climate change. The outputs of these models have low spatial accuracy. In order ...
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