In the injection of pulverized coal into a blast furnace, there are some factors which affect the readout of electronic weighing system. Through analyzing the measuring errors, it is found that the main reasons are p...In the injection of pulverized coal into a blast furnace, there are some factors which affect the readout of electronic weighing system. Through analyzing the measuring errors, it is found that the main reasons are pressure fluctuations of storage tank and puffing tank. According to the interaction of pressures, a neural network based method combined with fuzzy logic is adopted to enhance the precision. Experimental results show this method is satisfactory.展开更多
Black gram is dominant pulse crop of the region.Crop coefficient is an important parameter,which needs to be determined for accurate estimates of the crop water requirement.Crop coefficient,the ratio of potential crop...Black gram is dominant pulse crop of the region.Crop coefficient is an important parameter,which needs to be determined for accurate estimates of the crop water requirement.Crop coefficient,the ratio of potential crop evapotranspiration to reference evapotranspiration,is an important parameter in irrigation planning and management.However,this information is not available for many important crops in the study region.A study was undertaken to develop crop coefficients for black gram crop,and a comparison is made of single and dual crop coefficient approaches to estimate actual crop evapotranspiration under the climatic conditions of Udaipur,India.Crop coefficient was developed from daily measured black gram evapotranspiration(ETBG)data by electronic weighing lysimeter and reference evapotranspiration calculated using standard Penman-Monteith method.The measured values of crop coefficient for the crop were 0.48,1.18 and 0.33 during initial,mid-season and late-season stages.The evaluation of different approaches showed that daily ETBG estimate based on dual crop coefficient method have been found best(SE=0.40,r=0.96).Furthermore,a quadratic curve(second-order polynomial)method were fitted well(SE=0.47,r=0.94)to predict crop coefficient values as function of days after sowing(DAS).These locally developed and evaluated values can be used for proper irrigation planning in water scarcity area of Udaipur and other areas with similar agro-ecological conditions.展开更多
文摘In the injection of pulverized coal into a blast furnace, there are some factors which affect the readout of electronic weighing system. Through analyzing the measuring errors, it is found that the main reasons are pressure fluctuations of storage tank and puffing tank. According to the interaction of pressures, a neural network based method combined with fuzzy logic is adopted to enhance the precision. Experimental results show this method is satisfactory.
文摘Black gram is dominant pulse crop of the region.Crop coefficient is an important parameter,which needs to be determined for accurate estimates of the crop water requirement.Crop coefficient,the ratio of potential crop evapotranspiration to reference evapotranspiration,is an important parameter in irrigation planning and management.However,this information is not available for many important crops in the study region.A study was undertaken to develop crop coefficients for black gram crop,and a comparison is made of single and dual crop coefficient approaches to estimate actual crop evapotranspiration under the climatic conditions of Udaipur,India.Crop coefficient was developed from daily measured black gram evapotranspiration(ETBG)data by electronic weighing lysimeter and reference evapotranspiration calculated using standard Penman-Monteith method.The measured values of crop coefficient for the crop were 0.48,1.18 and 0.33 during initial,mid-season and late-season stages.The evaluation of different approaches showed that daily ETBG estimate based on dual crop coefficient method have been found best(SE=0.40,r=0.96).Furthermore,a quadratic curve(second-order polynomial)method were fitted well(SE=0.47,r=0.94)to predict crop coefficient values as function of days after sowing(DAS).These locally developed and evaluated values can be used for proper irrigation planning in water scarcity area of Udaipur and other areas with similar agro-ecological conditions.
