Rainstorm intensity formula,main basis of solving urban waterlogging,is the basis of scientifically and rationally making urban drainage professional planning and drainage engineering design. In this paper,compilation...Rainstorm intensity formula,main basis of solving urban waterlogging,is the basis of scientifically and rationally making urban drainage professional planning and drainage engineering design. In this paper,compilation of rainstorm intensity formula in Luzhai County was taken as the case,revision and compilation techniques and research methods of rainstorm intensity formulas in municipal district and administrated county of Liuzhou were introduced. According to the Design Specification for Outdoor Drainage（ GB 50014-2006,2016） and the Technical Guidelines for Establishment of Intensity-Duration-Frequency Curve Design Rainstorm Profile,historical rainfall data at Luzhai National Weather Station were sampled by using annual maximum method,and sampling time was from1980 to 2016. The period with the maximum rainfall was divided into 11 time intervals： 5,10,15,20,30,45,60,90,120,150 and 180 min. Fitting adjust of rainstorm sample data was conducted by using Pearson-III distribution curve,rainstorm intensity formula was fitted by the least square method,and calculation accuracy test corresponded with the requirement of Design Specification for Outdoor Drainage（ GB 50014-2006,2016）. Conclusions and suggestions were as below： firstly,rainstorm intensity formula was compiled and calculated according to the recommended methods of the Design Specification for Outdoor Drainage（ GB 50014-2006,2016） and the Technical Guidelines for Establishment of Intensity-Duration-Frequency Curve Design Rainstorm Profile,calculation process was normative,and calculation result error met the requirement of the specification. Secondly,sampling by annual maximum method was more suitable for the expression of periodic hydrometeorological law by taking year as reappearance period,and could cause better randomness and independence of statistical sample,and the method was scientific and reliable. Thirdly,rainstorm intensity formula compiled by taking rainfall data in national weather stations of Liuzhou and its administrated counties as the sample could be used in the scope of the local jurisdiction.展开更多
There were mainly six types of formalization models found in the study for 95 city and county names in China’s Hunan province,namely,the environment in a place for the place,the wish of the nomenclator for the place,...There were mainly six types of formalization models found in the study for 95 city and county names in China’s Hunan province,namely,the environment in a place for the place,the wish of the nomenclator for the place,the relative position of a place for the place,the resident for the place,the legend for the place,and the function of a place for the place.In the six formalization models,environment in a place for the place was the most in number,forging 47 names.Besides,the wish of the nomenclator for the place and the relative position of a place for the place came the second,taking 20 names respectively.The cognitive operation participating in the formalization was primarily single metonymy with only a few complex metonymies.Metaphtonymy could be only noted in the model of the wish of the nomenclator for the place.It was notable that single metaphor was missing in the cognitive operations.展开更多
Nowadays, spatial simulation on land use patterns is one of the key contents of LUCC. Modeling is an important tool for simulating land use patterns due to its ability to integrate measurements of changes in land cove...Nowadays, spatial simulation on land use patterns is one of the key contents of LUCC. Modeling is an important tool for simulating land use patterns due to its ability to integrate measurements of changes in land cover and the associated drivers. The conventional regression model can only analyze the correlation between land use types and driving factors but cannot depict the spatial autocorrelation characteristics. Land uses in Yongding County, which is located in the typical karst mountain areas in northwestern Hunan province, were investigated by means of modeling the spatial autocorrelation of land use types with the purpose of deriving better spatial land use patterns on the basis of terrain characteristics and infrastructural conditions. Through incorporating components describing the spatial autocorrelation into a conventional logistic model, we constructed a regression model （Autologistic model）, and used this model to simulate and analyze the spatial land use patterns in Yongding County. According to the comparison with the conventional logistic model without considering the spatial autocorrelation, this model showed better goodness and higher accuracy of fitting. The distribution of arable land, wood land, built-up land and unused land yielded areas under the ROC curves （AUC） was improved to 0.893, 0.940, 0.907 and 0.863 respectively with the autologistic model. It is argued that the improved model based on autologistic method was reasonable to a certain extent. Meanwhile, these analysis results could provide valuable information for modeling future land use change scenarios with actual conditions of local and regional land use, and the probability maps of land use types obtained from this study could also support government decision-making on land use management for Yongding County and other similar areas.展开更多
A total of 18 cities and counties in Hainan from 2012 to 2015 were selected as the basic research units to construct an index system for evaluating the ability of sustainable development that includes four guidelines ...A total of 18 cities and counties in Hainan from 2012 to 2015 were selected as the basic research units to construct an index system for evaluating the ability of sustainable development that includes four guidelines of economic development capacity, population development capacity, social support capacity, and resource utilization and environmental protection capacity. The improved entropy method was used to determine the weight, the Technique for Order of Preference by Similarity to Ideal Solution(TDPSIS) was used to calculate the capacity for sustainable development of the cities and counties and sort these cities and counties, and Arcgis10.2 was used to draw the provincewide distribution of the four guidelines. Thereupon, the author reached following conclusions: there was no big regional difference in the sustainable development capacity of cities and counties in Hainan, and they were basically in a general state of intermediate stage in the past four years; Haikou City and Sanya City, as the key cities, had a higher ability of sustainable development and had shown a remarkable capacity to drive the sustainable development of surrounding areas; according to the development level, the four guidelines were in the following order: resource utilization and environmental protection capacity, population development capacity, social support capacity, and economic development capacity.展开更多
News released from a National Workshop on Comprehensive Evalua-tion of the Status of Counties and Cities indicates that eighty counties and cities in the country have basically become well off,of which eighty percent ...News released from a National Workshop on Comprehensive Evalua-tion of the Status of Counties and Cities indicates that eighty counties and cities in the country have basically become well off,of which eighty percent are distributed in eastern coastal areas.展开更多
基金Supported by the Item of Urban and Rural Community Affairs(Urban Construction--Planning Compilation and Project Prophase)in Liuzhou City in 2015
文摘Rainstorm intensity formula,main basis of solving urban waterlogging,is the basis of scientifically and rationally making urban drainage professional planning and drainage engineering design. In this paper,compilation of rainstorm intensity formula in Luzhai County was taken as the case,revision and compilation techniques and research methods of rainstorm intensity formulas in municipal district and administrated county of Liuzhou were introduced. According to the Design Specification for Outdoor Drainage（ GB 50014-2006,2016） and the Technical Guidelines for Establishment of Intensity-Duration-Frequency Curve Design Rainstorm Profile,historical rainfall data at Luzhai National Weather Station were sampled by using annual maximum method,and sampling time was from1980 to 2016. The period with the maximum rainfall was divided into 11 time intervals： 5,10,15,20,30,45,60,90,120,150 and 180 min. Fitting adjust of rainstorm sample data was conducted by using Pearson-III distribution curve,rainstorm intensity formula was fitted by the least square method,and calculation accuracy test corresponded with the requirement of Design Specification for Outdoor Drainage（ GB 50014-2006,2016）. Conclusions and suggestions were as below： firstly,rainstorm intensity formula was compiled and calculated according to the recommended methods of the Design Specification for Outdoor Drainage（ GB 50014-2006,2016） and the Technical Guidelines for Establishment of Intensity-Duration-Frequency Curve Design Rainstorm Profile,calculation process was normative,and calculation result error met the requirement of the specification. Secondly,sampling by annual maximum method was more suitable for the expression of periodic hydrometeorological law by taking year as reappearance period,and could cause better randomness and independence of statistical sample,and the method was scientific and reliable. Thirdly,rainstorm intensity formula compiled by taking rainfall data in national weather stations of Liuzhou and its administrated counties as the sample could be used in the scope of the local jurisdiction.
文摘There were mainly six types of formalization models found in the study for 95 city and county names in China’s Hunan province,namely,the environment in a place for the place,the wish of the nomenclator for the place,the relative position of a place for the place,the resident for the place,the legend for the place,and the function of a place for the place.In the six formalization models,environment in a place for the place was the most in number,forging 47 names.Besides,the wish of the nomenclator for the place and the relative position of a place for the place came the second,taking 20 names respectively.The cognitive operation participating in the formalization was primarily single metonymy with only a few complex metonymies.Metaphtonymy could be only noted in the model of the wish of the nomenclator for the place.It was notable that single metaphor was missing in the cognitive operations.
基金National High Technology Research and Development Program of China, No.2008AA12Z106 National Natural Science Foundation of China, No.40801166 No.40771198
文摘Nowadays, spatial simulation on land use patterns is one of the key contents of LUCC. Modeling is an important tool for simulating land use patterns due to its ability to integrate measurements of changes in land cover and the associated drivers. The conventional regression model can only analyze the correlation between land use types and driving factors but cannot depict the spatial autocorrelation characteristics. Land uses in Yongding County, which is located in the typical karst mountain areas in northwestern Hunan province, were investigated by means of modeling the spatial autocorrelation of land use types with the purpose of deriving better spatial land use patterns on the basis of terrain characteristics and infrastructural conditions. Through incorporating components describing the spatial autocorrelation into a conventional logistic model, we constructed a regression model （Autologistic model）, and used this model to simulate and analyze the spatial land use patterns in Yongding County. According to the comparison with the conventional logistic model without considering the spatial autocorrelation, this model showed better goodness and higher accuracy of fitting. The distribution of arable land, wood land, built-up land and unused land yielded areas under the ROC curves （AUC） was improved to 0.893, 0.940, 0.907 and 0.863 respectively with the autologistic model. It is argued that the improved model based on autologistic method was reasonable to a certain extent. Meanwhile, these analysis results could provide valuable information for modeling future land use change scenarios with actual conditions of local and regional land use, and the probability maps of land use types obtained from this study could also support government decision-making on land use management for Yongding County and other similar areas.
基金Sponsored by Scientific Research Projects of Colleges and Universities in Hainan Province(Hnky2015-54)
文摘A total of 18 cities and counties in Hainan from 2012 to 2015 were selected as the basic research units to construct an index system for evaluating the ability of sustainable development that includes four guidelines of economic development capacity, population development capacity, social support capacity, and resource utilization and environmental protection capacity. The improved entropy method was used to determine the weight, the Technique for Order of Preference by Similarity to Ideal Solution(TDPSIS) was used to calculate the capacity for sustainable development of the cities and counties and sort these cities and counties, and Arcgis10.2 was used to draw the provincewide distribution of the four guidelines. Thereupon, the author reached following conclusions: there was no big regional difference in the sustainable development capacity of cities and counties in Hainan, and they were basically in a general state of intermediate stage in the past four years; Haikou City and Sanya City, as the key cities, had a higher ability of sustainable development and had shown a remarkable capacity to drive the sustainable development of surrounding areas; according to the development level, the four guidelines were in the following order: resource utilization and environmental protection capacity, population development capacity, social support capacity, and economic development capacity.
文摘Administrative divisions: ChengduMunicipality:Qingyang District, Jinjiang District,Wuhou District, Chenghua District, JinniuDistrict, Longquanyi District, QingbaijiangDistrict, Jintang County, Shuangliu County,Wenjiang County, Chongzhou City, XinduCounty, Dujiangyan City, Qionglai City,Pixian County, Pujiang County, XinjingCounty, Dayi County, Pengzhou
文摘News released from a National Workshop on Comprehensive Evalua-tion of the Status of Counties and Cities indicates that eighty counties and cities in the country have basically become well off,of which eighty percent are distributed in eastern coastal areas.
