Based on the MOD16 remote sensing product provided by NASA, the temporal and spatial distribution characteristics of evapotranspiration in Anhui Province from 2000 to 2014 were analyzed statistically with the support ...Based on the MOD16 remote sensing product provided by NASA, the temporal and spatial distribution characteristics of evapotranspiration in Anhui Province from 2000 to 2014 were analyzed statistically with the support of ENVI remote sensing image processing system and ARCGIS .geographic information system. The results showed that： （1） The annual average ET in Anhui Province was 694.9 mm from 2000 to 2014, less than half of PET, indicating that Anhui Province as a whole was in dry climate and water shortage, particularly significant in 2011-2014, with the maximum value of 730.6 mm occurring in 2003, and the minimum value of 647.6 mm occurring in 2011. The monthly average ET and PET showed a single peak distribution pattern, ET peak appearing in August, and PET peak appearing in May. （2） Linear regression analysis of ET and PET showed that there was a signif- icant decrease trend in ET in Anhui Province from October to March of the following year, and in addition, there was also a decreasing trend in the summer from June to July, but PET for the whole year demonstrated an increasing trend. The change trends of both illustrated that drought in Anhui Province was becoming more and more serious. （3） The spatial distribution of ET and PET showed that Anhui Province had obvious characteristics of high in south and low in north, and the north had large yearly and monthly changes, while the south had relatively stable changes. （4） The evapotranspiration of different land use types showed different an- nual and monthly variation characteristics, and the overall expression of annual evapotranspiration was in the order of forest 〉 grassland 〉 farmland. In terms of the monthly change, monthly evapotranspiration was manifested as winter grassland larger than the forest, forest evapotranspiration gradually exceeding the grass, and the evapotranspiration gap among the three widening continuously until the peak appearing in July or August. Due to the seasonality of crop plantation and under the common action of temperature, precipitation and other sensitive factors, the monthly evapotranspiration of forest and grassland was of single peak distribution with the maximum appearing in July, and the monthly evapotranspiration of farmland showed double peak distribution, appearing respectively in May and August, the former being weaker than the latter in strength展开更多
The available electricity generated by a wind power generation system depends on mean wind speed, standard deviation of wind speed and the location of installation. Since year-to-year variation on annual mean wind spe...The available electricity generated by a wind power generation system depends on mean wind speed, standard deviation of wind speed and the location of installation. Since year-to-year variation on annual mean wind speed is hard to predict, wind speed variations during a year can be well characterized in terms of a probability distribution function, as well Weibull distribution has been one of the most commonly used, accepted and recommended distribution to determine wind energy potential. In this study, the two Weibull parameters of the wind speed distribution function （the shape parameter k （dimensionless） and the scale parameter c （m/s））, were computed from the wind speed data for Algerian east coastal regions, recording over a 1 l-year period （1995-2005）. It was found that the numerical values of both Weibull parameters （k and c） vary over a wide range. The yearly values ofk range from 1.20 to 1.94, while those of c are in the range from 4.31 to 1.94. To minimize the uncertainties of statistical calculation, a spatial representation indicating distribution and occurrence frequency the direction from which the wind comes, appears a very primordial step. Over the whole valid data during the study period, the compass shows that there is no dominant direction marked. However, we can identify a preferred wind direction. The statistical results correspond to the analysis of the rose compass.展开更多
基金Supported by the Development Fund for Huai River Basin(HRM201307)~~
文摘Based on the MOD16 remote sensing product provided by NASA, the temporal and spatial distribution characteristics of evapotranspiration in Anhui Province from 2000 to 2014 were analyzed statistically with the support of ENVI remote sensing image processing system and ARCGIS .geographic information system. The results showed that： （1） The annual average ET in Anhui Province was 694.9 mm from 2000 to 2014, less than half of PET, indicating that Anhui Province as a whole was in dry climate and water shortage, particularly significant in 2011-2014, with the maximum value of 730.6 mm occurring in 2003, and the minimum value of 647.6 mm occurring in 2011. The monthly average ET and PET showed a single peak distribution pattern, ET peak appearing in August, and PET peak appearing in May. （2） Linear regression analysis of ET and PET showed that there was a signif- icant decrease trend in ET in Anhui Province from October to March of the following year, and in addition, there was also a decreasing trend in the summer from June to July, but PET for the whole year demonstrated an increasing trend. The change trends of both illustrated that drought in Anhui Province was becoming more and more serious. （3） The spatial distribution of ET and PET showed that Anhui Province had obvious characteristics of high in south and low in north, and the north had large yearly and monthly changes, while the south had relatively stable changes. （4） The evapotranspiration of different land use types showed different an- nual and monthly variation characteristics, and the overall expression of annual evapotranspiration was in the order of forest 〉 grassland 〉 farmland. In terms of the monthly change, monthly evapotranspiration was manifested as winter grassland larger than the forest, forest evapotranspiration gradually exceeding the grass, and the evapotranspiration gap among the three widening continuously until the peak appearing in July or August. Due to the seasonality of crop plantation and under the common action of temperature, precipitation and other sensitive factors, the monthly evapotranspiration of forest and grassland was of single peak distribution with the maximum appearing in July, and the monthly evapotranspiration of farmland showed double peak distribution, appearing respectively in May and August, the former being weaker than the latter in strength
文摘The available electricity generated by a wind power generation system depends on mean wind speed, standard deviation of wind speed and the location of installation. Since year-to-year variation on annual mean wind speed is hard to predict, wind speed variations during a year can be well characterized in terms of a probability distribution function, as well Weibull distribution has been one of the most commonly used, accepted and recommended distribution to determine wind energy potential. In this study, the two Weibull parameters of the wind speed distribution function （the shape parameter k （dimensionless） and the scale parameter c （m/s））, were computed from the wind speed data for Algerian east coastal regions, recording over a 1 l-year period （1995-2005）. It was found that the numerical values of both Weibull parameters （k and c） vary over a wide range. The yearly values ofk range from 1.20 to 1.94, while those of c are in the range from 4.31 to 1.94. To minimize the uncertainties of statistical calculation, a spatial representation indicating distribution and occurrence frequency the direction from which the wind comes, appears a very primordial step. Over the whole valid data during the study period, the compass shows that there is no dominant direction marked. However, we can identify a preferred wind direction. The statistical results correspond to the analysis of the rose compass.
