For regional ecological management,it is important to evaluate the quality of ecosystems and analyze the underlying causes of ecological changes.Using the Google Earth Engine(GEE)platform,the remote sensing ecological...For regional ecological management,it is important to evaluate the quality of ecosystems and analyze the underlying causes of ecological changes.Using the Google Earth Engine(GEE)platform,the remote sensing ecological index(RSEI)was calculated for the Lijiang River Basin in Guangxi Zhuang Autonomous Region for 1991,2001,2011,and 2021.Spatial autocorrelation analysis was employed to investigate spatiotemporal variations in the ecological environmental quality of the Lijiang River Basin.Furthermore,geographic detectors were used to quantitatively analyze influencing factors and their interaction effects on ecological environmental quality.The results verified that:1)From 1991 to 2021,the ecological environmental quality of the Lijiang River Basin demonstrated significant improvement.The area with good and excellent ecological environmental quality in proportion increased by 19.69%(3406.57 km^(2)),while the area with fair and poor ecological environmental quality in proportion decreased by 10.76%(1860.36 km^(2)).2)Spatially,the ecological environmental quality of the Lijiang River Basin exhibited a pattern of low quality in the central region and high quality in the periphery.Specifically,poor ecological environmental quality characterized the Guilin urban area,Pingle County,and Lingchuan County.3)From 1991 to 2021,a significant positive spatial correlation was observed in ecological environmental quality of the Lijiang River Basin.Areas with high-high agglomeration were predominantly forests and grasslands,indicating good ecological environmental quality,whereas areas with low-low agglomeration were dominated by cultivated land and construction land,indicating poor ecological environmental quality.4)Annual average precipitation and temperature exerted the most significant influence on the ecological environmental quality of the basin,and their interactions with other factors had the great influence.This study aimed to enhance understanding of the evolution of the ecological environment in the Lijiang River Basin of Guangxi Zhuang Autonomous Region and provide scientific guidance for decision-making and management related to ecology in the region.展开更多
With rapid economy growth,building energy consumption in China has been gradually increased.The energy consumption and indoor environmental quality of 51 office buildings in Hainan Province,a hot and humid area,were s...With rapid economy growth,building energy consumption in China has been gradually increased.The energy consumption and indoor environmental quality of 51 office buildings in Hainan Province,a hot and humid area,were studied through collection of verified data in site visits and field tests.The result revealed that,electricity accounted for 99.79% of the total energy consumption,natural gas 0.17%,and diesel 0.04%.The air conditioning dominated the energy use with a share of 43.18%,equipment in the particular areas 26.90%,equipment in the office rooms 11.95%,lighting system 8.67%,general service system 7.57%,and miscellaneous items 1.73%.Statistical method including six indicators obtained the energy consumption benchmark with upper limit of 98.31 kW-h/m2 and lower limit of 55.26 kW-h/m2.According to ASHRAE standard(comfortable standard) and GB/T 18883-2002(acceptable standard),the indoor environmental quality of 51 sampled office buildings was classified into three ranks:good,normal and bad.With benchmark of building energy consumption combined with indoor environmental quality,it was found that only 3.92% of sampled buildings can be identified as the best performance buildings with low energy consumption and advanced indoor environmental quality,and the buildings classified into normal level accounted for the maximum ratio.展开更多
Results The population had large variations for lint yield,fibre properties,predicted yarn properties,and composite fibre quality values.Lint yield with all fibre quality traits was not correlated.When the selection w...Results The population had large variations for lint yield,fibre properties,predicted yarn properties,and composite fibre quality values.Lint yield with all fibre quality traits was not correlated.When the selection was conducted first to keep those with improved fibre quality,and followed for high yields,a large proportion in the resultant populations was the same between selections based on Cottonspec predicted yarn quality and HVI-measured fibre properties.They both exceeded the selection based on FQI and Background The approach of directly testing yarn quality to define fibre quality breeding objectives and progress the selection is attractive but difficult when considering the need for time and labour.The question remains whether yarn prediction tools from textile research can serve as an alternative.In this study,using a dataset from three seasons of field testing recombinant inbred line population,Cottonspec,a software developed by the Commonwealth Scientific and Industrial Research Organisation(CSIRO)for predicting ring spun yarn quality from fibre properties measured by High Volume Instrument(HVI),was used to select improved fibre quality and lint yield in the population.The population was derived from an advanced generation inter-crossing of four CSIRO conventional commercial varieties.The Cottonspec program was able to provide an integrated index of the fibre qualities affecting yarn properties.That was compared with selection based on HVI-measured fibre properties,and two composite fibre quality variables,namely,fibre quality index(FQI),and premium and discount(PD)points.The latter represents the net points of fibre length,strength,and micronaire based on the Premiums and Discounts Schedule used in the market while modified by the inclusion of elongation.PD points.Conclusions The population contained elite segregants with improved yield and fibre properties,and Cottonspec predicted yarn quality is useful to effectively capture these elites.There is a need to further develop yarn quality prediction tools through collaborative efforts with textile mills,to draw better connectedness between fibre and yarn quality.This connection will support the entire cotton value chain research and evolution.展开更多
Prestressed concrete structures are main conformati on for the construction of high way bridges. The quality of prestressed concrete s tructures is mainly affected by the tensile strength of prestressing strand. In or...Prestressed concrete structures are main conformati on for the construction of high way bridges. The quality of prestressed concrete s tructures is mainly affected by the tensile strength of prestressing strand. In order to attain the purpose of economic design and long life span of prestressin g strand, the less relaxation property of strand type is suitable for constructi on and usage. Thus, the research and development of prestressing strand is requi red to reach the goals of high tensile strength and low relaxation. To ensure th e required quality of prestressing strand, the strand pull test and long period relaxation test are two important items for the quality assurance. There are thr ee specific items of the tensile strength test are belong to larger-the-better quality type. The quality type of smaller-the-better is for the long period r elaxation test. However, many existing methods are able to measure process capab ility for product with single quality characteristic and cannot be applied to mo st products with multiple properties. Thus, the indices of C pu and C pl, for larger-the-better and smaller-the-better quality type respec tively proposed by Kane, are quoted and combined to propose a new index to evalu ate the quality of multiple characteristics of prestressing strand in this paper . Then, the principle of statistics is used to derive the one-to-one mathemati cal relationship of this new index and ratio of tallied. Finally, the procedure and criteria to evaluate the quality of prestressing strand is proposed. This in tegrated multi-quality property capability analysis model can be used to evalua te the multi-process capabilities and provide continuous improvement on manufac turing process of prestressing strand.展开更多
目的应用前期构建的助产质量评价指标体系,评价其作为助产质量评价工具的实用价值。方法选取泛长三角地区13家不同等级及性质的医院作为研究对象,采用加权秩和比法、加权TOPSIS(technique for order preference by similarity to ideal ...目的应用前期构建的助产质量评价指标体系,评价其作为助产质量评价工具的实用价值。方法选取泛长三角地区13家不同等级及性质的医院作为研究对象,采用加权秩和比法、加权TOPSIS(technique for order preference by similarity to ideal solution)法、简单加权法这3种综合评价法对医院的助产质量进行评价排序。运用组合评价法对3种综合评价法的结果进行组合排序,采用肯德尔和谐系数对3种综合评价法的结果进行一致性检验。结果13家医院包括3家三级甲等综合性医院、3家三级甲等妇产专科医院、1家三级乙等综合性医院、2家三级乙等妇产专科医院、1家二级甲等综合性医院、2家二级甲等妇产专科医院和1家二级乙等妇产专科医院。3种综合评价法对13家医院的评价结果排序略有不同,具有较高的一致性,肯德尔和谐系数W=0.794。组合评价法对13家医院的助产质量排序前4名为H10、H4、H1和H2,与研究假设的预判结果(H1、H2、H10的助产质量排序靠前)基本保持一致。结论助产质量评价指标体系的评价结果稳定,能反映助产质量,具有较高的临床实用价值,可作为助产质量评价的科学工具。展开更多
基金supported by the Guangxi Natural Science Foundation(2020GXNSFAA297266)Doctoral Research Foundation of Guilin University of Technology(GUTQDJJ2007059)Guangxi Hidden Metallic Mineral Exploration Key Laboratory。
文摘For regional ecological management,it is important to evaluate the quality of ecosystems and analyze the underlying causes of ecological changes.Using the Google Earth Engine(GEE)platform,the remote sensing ecological index(RSEI)was calculated for the Lijiang River Basin in Guangxi Zhuang Autonomous Region for 1991,2001,2011,and 2021.Spatial autocorrelation analysis was employed to investigate spatiotemporal variations in the ecological environmental quality of the Lijiang River Basin.Furthermore,geographic detectors were used to quantitatively analyze influencing factors and their interaction effects on ecological environmental quality.The results verified that:1)From 1991 to 2021,the ecological environmental quality of the Lijiang River Basin demonstrated significant improvement.The area with good and excellent ecological environmental quality in proportion increased by 19.69%(3406.57 km^(2)),while the area with fair and poor ecological environmental quality in proportion decreased by 10.76%(1860.36 km^(2)).2)Spatially,the ecological environmental quality of the Lijiang River Basin exhibited a pattern of low quality in the central region and high quality in the periphery.Specifically,poor ecological environmental quality characterized the Guilin urban area,Pingle County,and Lingchuan County.3)From 1991 to 2021,a significant positive spatial correlation was observed in ecological environmental quality of the Lijiang River Basin.Areas with high-high agglomeration were predominantly forests and grasslands,indicating good ecological environmental quality,whereas areas with low-low agglomeration were dominated by cultivated land and construction land,indicating poor ecological environmental quality.4)Annual average precipitation and temperature exerted the most significant influence on the ecological environmental quality of the basin,and their interactions with other factors had the great influence.This study aimed to enhance understanding of the evolution of the ecological environment in the Lijiang River Basin of Guangxi Zhuang Autonomous Region and provide scientific guidance for decision-making and management related to ecology in the region.
基金Project(2011BAJ01B05) supported by the National Science and Technology Pillar Program during the Twelfth Five-year Plan Period of China
文摘With rapid economy growth,building energy consumption in China has been gradually increased.The energy consumption and indoor environmental quality of 51 office buildings in Hainan Province,a hot and humid area,were studied through collection of verified data in site visits and field tests.The result revealed that,electricity accounted for 99.79% of the total energy consumption,natural gas 0.17%,and diesel 0.04%.The air conditioning dominated the energy use with a share of 43.18%,equipment in the particular areas 26.90%,equipment in the office rooms 11.95%,lighting system 8.67%,general service system 7.57%,and miscellaneous items 1.73%.Statistical method including six indicators obtained the energy consumption benchmark with upper limit of 98.31 kW-h/m2 and lower limit of 55.26 kW-h/m2.According to ASHRAE standard(comfortable standard) and GB/T 18883-2002(acceptable standard),the indoor environmental quality of 51 sampled office buildings was classified into three ranks:good,normal and bad.With benchmark of building energy consumption combined with indoor environmental quality,it was found that only 3.92% of sampled buildings can be identified as the best performance buildings with low energy consumption and advanced indoor environmental quality,and the buildings classified into normal level accounted for the maximum ratio.
基金funded through Cotton Breeding Australia,a Joint Venture between CSIRO and Cotton Seed Distributors(Wee Waa,NSW 2388,Australia)。
文摘Results The population had large variations for lint yield,fibre properties,predicted yarn properties,and composite fibre quality values.Lint yield with all fibre quality traits was not correlated.When the selection was conducted first to keep those with improved fibre quality,and followed for high yields,a large proportion in the resultant populations was the same between selections based on Cottonspec predicted yarn quality and HVI-measured fibre properties.They both exceeded the selection based on FQI and Background The approach of directly testing yarn quality to define fibre quality breeding objectives and progress the selection is attractive but difficult when considering the need for time and labour.The question remains whether yarn prediction tools from textile research can serve as an alternative.In this study,using a dataset from three seasons of field testing recombinant inbred line population,Cottonspec,a software developed by the Commonwealth Scientific and Industrial Research Organisation(CSIRO)for predicting ring spun yarn quality from fibre properties measured by High Volume Instrument(HVI),was used to select improved fibre quality and lint yield in the population.The population was derived from an advanced generation inter-crossing of four CSIRO conventional commercial varieties.The Cottonspec program was able to provide an integrated index of the fibre qualities affecting yarn properties.That was compared with selection based on HVI-measured fibre properties,and two composite fibre quality variables,namely,fibre quality index(FQI),and premium and discount(PD)points.The latter represents the net points of fibre length,strength,and micronaire based on the Premiums and Discounts Schedule used in the market while modified by the inclusion of elongation.PD points.Conclusions The population contained elite segregants with improved yield and fibre properties,and Cottonspec predicted yarn quality is useful to effectively capture these elites.There is a need to further develop yarn quality prediction tools through collaborative efforts with textile mills,to draw better connectedness between fibre and yarn quality.This connection will support the entire cotton value chain research and evolution.
文摘Prestressed concrete structures are main conformati on for the construction of high way bridges. The quality of prestressed concrete s tructures is mainly affected by the tensile strength of prestressing strand. In order to attain the purpose of economic design and long life span of prestressin g strand, the less relaxation property of strand type is suitable for constructi on and usage. Thus, the research and development of prestressing strand is requi red to reach the goals of high tensile strength and low relaxation. To ensure th e required quality of prestressing strand, the strand pull test and long period relaxation test are two important items for the quality assurance. There are thr ee specific items of the tensile strength test are belong to larger-the-better quality type. The quality type of smaller-the-better is for the long period r elaxation test. However, many existing methods are able to measure process capab ility for product with single quality characteristic and cannot be applied to mo st products with multiple properties. Thus, the indices of C pu and C pl, for larger-the-better and smaller-the-better quality type respec tively proposed by Kane, are quoted and combined to propose a new index to evalu ate the quality of multiple characteristics of prestressing strand in this paper . Then, the principle of statistics is used to derive the one-to-one mathemati cal relationship of this new index and ratio of tallied. Finally, the procedure and criteria to evaluate the quality of prestressing strand is proposed. This in tegrated multi-quality property capability analysis model can be used to evalua te the multi-process capabilities and provide continuous improvement on manufac turing process of prestressing strand.
文摘目的应用前期构建的助产质量评价指标体系,评价其作为助产质量评价工具的实用价值。方法选取泛长三角地区13家不同等级及性质的医院作为研究对象,采用加权秩和比法、加权TOPSIS(technique for order preference by similarity to ideal solution)法、简单加权法这3种综合评价法对医院的助产质量进行评价排序。运用组合评价法对3种综合评价法的结果进行组合排序,采用肯德尔和谐系数对3种综合评价法的结果进行一致性检验。结果13家医院包括3家三级甲等综合性医院、3家三级甲等妇产专科医院、1家三级乙等综合性医院、2家三级乙等妇产专科医院、1家二级甲等综合性医院、2家二级甲等妇产专科医院和1家二级乙等妇产专科医院。3种综合评价法对13家医院的评价结果排序略有不同,具有较高的一致性,肯德尔和谐系数W=0.794。组合评价法对13家医院的助产质量排序前4名为H10、H4、H1和H2,与研究假设的预判结果(H1、H2、H10的助产质量排序靠前)基本保持一致。结论助产质量评价指标体系的评价结果稳定,能反映助产质量,具有较高的临床实用价值,可作为助产质量评价的科学工具。
