Land surface changes effect the regional climate due to the complex coupling of land-atmosphere interactions. From 1995 to 2000, a decrease in the vegetation density and an increase in ground-level thermodynamic activ...Land surface changes effect the regional climate due to the complex coupling of land-atmosphere interactions. From 1995 to 2000, a decrease in the vegetation density and an increase in ground-level thermodynamic activity has been documented by multiple data sources in Northwest China, including meteorological, reanalysis from European Centre for Medium-Range Weather Forecasts （ECMWF）, National Oceanic and Atmospheric Administration＇s （NOAA） Advanced Very High Resolution Radiometer （AVHRR） and TIROS Operational Vertical Sounder （TOVS） satellite remote sensing data. As the ground-level thermodynamic activity increases, humid air from the surrounding regions converge toward desert （and semi-desert） regions, causing areas with high vegetation cover to become gradually more arid. Furthermore, land surface changes in Northwest China are responsible for a decrease in total cloud cover, a decline in the fraction of low and middle clouds, an increase in high cloud cover （due to thermodynamic activity） and other regional climatic adaptations. It is proposed that, beginning in 1995, these cloud cover changes contributed to a ＂green- house＂ effect, leading to the rapid air temperature increases and other regional climate impacts that have been observed over Northwest China.展开更多
Human-induced land use changes and the resulting alterations in vegetation features are major but poorly recognized drivers of regional climatic patterns.In order to investigate the impacts of anthropogenically-induce...Human-induced land use changes and the resulting alterations in vegetation features are major but poorly recognized drivers of regional climatic patterns.In order to investigate the impacts of anthropogenically-induced seasonal vegetation cover changes on regional climate in China,harmonic analysis is applied to 1982-2000 National Oceanic and Atmospheric Administration（NOAA） Advanced Very High Resolution Radiometer（AVVHRR）-derived normalized difference vegetation index（NDVI） time series（ten day interval data）.For two climatic divisions of South China,it is shown that the first harmonic term is in phase with air temperature,while the second and third harmonics are in phase with agricultural cultivation.The Penman-Monteith Equation and the Complementary Relationship Areal Evapotranspiration（CRAE） model suggest that monthly mean evapotranspiration is out of phase with temperature and precipitation in regions with signiffcant second or third harmonics.Finally,seasonal vegetation cover changes associated with agricultural cultivation are identiffed：for cropped areas,the temperature and precipitation time series have a single maximum value,while the monthly evapotranspiration time series has a bimodal distribution.It is hypothesized that multi-cropping causes the land surface albedo to sharply increase during harvesting,thereby altering the energy distribution ratio and contributing to observed seasonal vegetation cover changes.展开更多
Over the past few decades, innovations in Information and Communication Technologies （ICT） have led to a significant increase in the complexity of enterprise information systems. This has led to new challenges for e...Over the past few decades, innovations in Information and Communication Technologies （ICT） have led to a significant increase in the complexity of enterprise information systems. This has led to new challenges for enterprise architects, systems engineers, business managers and other decision makers who must cope with the complexity of business plans and processes （particularly automated engineering processes）. In order to better manage this complexity, the Business Rule Group （BRG） has put forth the Business Motivation Model （BMM）. The original BMM uses a SWOT （Strength, Weakness, Opportunity, and Threat） decision analysis approach. However, the SWOT framework contains significant limitations with respect to decision making and ICT risks, hampering the decision making ability of enterprise architects, business managers, engineers, and other decision makers. The AHP （Analytic Hierarchy Process） and ANP （Analytic Network Process） are among the most widely used decision making tools： they commonly implement a Benefit - Opportunity - Cost - Risk （BOCR） analysis to improve the effectiveness of business decision making. A new approach is put forth that replaces the original SWOT assessment with an ANP-based BOCR analysis. As well, the original BMM is modified and applied in a Component Architecture Framework （CAF）.展开更多
基金jointly supported by the Key Project of Chinese Academy of Sciences(Grant No.KZCX3-SW-221)the National Natural Science Foundation of China(Grant Nos.40675047 and 40233027).
文摘Land surface changes effect the regional climate due to the complex coupling of land-atmosphere interactions. From 1995 to 2000, a decrease in the vegetation density and an increase in ground-level thermodynamic activity has been documented by multiple data sources in Northwest China, including meteorological, reanalysis from European Centre for Medium-Range Weather Forecasts （ECMWF）, National Oceanic and Atmospheric Administration＇s （NOAA） Advanced Very High Resolution Radiometer （AVHRR） and TIROS Operational Vertical Sounder （TOVS） satellite remote sensing data. As the ground-level thermodynamic activity increases, humid air from the surrounding regions converge toward desert （and semi-desert） regions, causing areas with high vegetation cover to become gradually more arid. Furthermore, land surface changes in Northwest China are responsible for a decrease in total cloud cover, a decline in the fraction of low and middle clouds, an increase in high cloud cover （due to thermodynamic activity） and other regional climatic adaptations. It is proposed that, beginning in 1995, these cloud cover changes contributed to a ＂green- house＂ effect, leading to the rapid air temperature increases and other regional climate impacts that have been observed over Northwest China.
基金supported by State Key Laboratory of Earth Surface Processes and Resource Ecology, National Basic Research Program of China (Grant No. 2010CB951101)the Japanese Ministry of Education, Culture, Sports, Science and Technology (MEXT) 21st Century COE Program for DPRI, Kyoto University and the National Natural Science Foundation of China (Grant No. 40675047)
文摘Human-induced land use changes and the resulting alterations in vegetation features are major but poorly recognized drivers of regional climatic patterns.In order to investigate the impacts of anthropogenically-induced seasonal vegetation cover changes on regional climate in China,harmonic analysis is applied to 1982-2000 National Oceanic and Atmospheric Administration（NOAA） Advanced Very High Resolution Radiometer（AVVHRR）-derived normalized difference vegetation index（NDVI） time series（ten day interval data）.For two climatic divisions of South China,it is shown that the first harmonic term is in phase with air temperature,while the second and third harmonics are in phase with agricultural cultivation.The Penman-Monteith Equation and the Complementary Relationship Areal Evapotranspiration（CRAE） model suggest that monthly mean evapotranspiration is out of phase with temperature and precipitation in regions with signiffcant second or third harmonics.Finally,seasonal vegetation cover changes associated with agricultural cultivation are identiffed：for cropped areas,the temperature and precipitation time series have a single maximum value,while the monthly evapotranspiration time series has a bimodal distribution.It is hypothesized that multi-cropping causes the land surface albedo to sharply increase during harvesting,thereby altering the energy distribution ratio and contributing to observed seasonal vegetation cover changes.
文摘Over the past few decades, innovations in Information and Communication Technologies （ICT） have led to a significant increase in the complexity of enterprise information systems. This has led to new challenges for enterprise architects, systems engineers, business managers and other decision makers who must cope with the complexity of business plans and processes （particularly automated engineering processes）. In order to better manage this complexity, the Business Rule Group （BRG） has put forth the Business Motivation Model （BMM）. The original BMM uses a SWOT （Strength, Weakness, Opportunity, and Threat） decision analysis approach. However, the SWOT framework contains significant limitations with respect to decision making and ICT risks, hampering the decision making ability of enterprise architects, business managers, engineers, and other decision makers. The AHP （Analytic Hierarchy Process） and ANP （Analytic Network Process） are among the most widely used decision making tools： they commonly implement a Benefit - Opportunity - Cost - Risk （BOCR） analysis to improve the effectiveness of business decision making. A new approach is put forth that replaces the original SWOT assessment with an ANP-based BOCR analysis. As well, the original BMM is modified and applied in a Component Architecture Framework （CAF）.
