Forecasting Public Green Area Per Capita in Xi’an City Based on GM (1, 1)

[Objective] To establish the comprehensive evaluation index system of public green area per capita as a quantitative mean of measuring ecological city and livable city. [Method]The GM (1, 1) forecasting model was set up according to statistics of public green area per capita in Xi’an City during 1996 and 2005, on this basis, the development trend of green area per capita in Xi’an City until 2015 were analyzed in case of no any changing factors or conditions. [Result]Grey forecasting model was established as, (t = 0, 1, …, n); model parameters as a = - 0.031 71, u = 4.139 17. After residual error test and posterior-variance-test, the precision of this model is proved fairly good. [Conclusions]According to this model, public green area per capita in Xi’an City will achieve 7.66 m2 by 2015, which is still far away from the livable city index (16 m2 per capita) and should be paid more attention by the local government, the construction of urban green areas should be further enhanced, more vegetations should be cultivated so as to improve the urban green coverage ratio.

The retrospect and prospect on environmental legal system research of Xi'an City

Xi'an City is an important city of western region, facing the mission of constructing international metropolitan. There are many environmental issues in the city, which should be solved by legal construction. Based on the environmental status of the city, the construction content of environmental legal system was analyzed, focusing on conflict resolution, and the corresponding ways of research were proposed.

Family Planning Management Of the Floating Population in Xi'an City

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The harmonious relationship between land use and environment in Xi’an

In this paper we adopt annual land use conditions change data, land sifting data, social, economic and population data and environment information of nine districts and four counties in Xi＇an city from 1980 to 2000 to analyze its structural and degree change of land use since the 1980s, and calculate the benefits and transformation of land use type. The results show that the non-agricultural land increased rapidly, especially the urban and rural residential spots and industrial and mining （RIM） land use increased mostly rapidly, an increase of 64%. Meanwhile, the intensity of land exploitation was accelerating, land was transformed to industries with better benefit and areas experiencing faster urbanization process. By analyzing the harmonious degree of land exploitation in economic and environmental aspects, we find out that the land use imbalance mainly existed in the municipal area of Xi＇an, and the imbalance index of land use based on GDP and non-agricultural population were respectively 12.37 and 14.67 in 2000, which were far higher than those in other regions. Nevertheless the environmental harmonious degree in the municipal area of Xi＇an ranges between 0.6 and 0.8, which was better than that of suburban area. Some proposals addressing to the problems of harmonious level in all scales, resources utilization, projects management and feasibility analysis and intensive urbanization are also put forward.

Impacts of Suburbanization on Urban Eco-environment of Xi'an in China

Suburbanization in large cities is an important phenomenon in the process of urbanization development in China in recent decades,which plays a very important role in promoting city development,whereas some side effects on the eco-environment appeared at the same time.This paper,taking Xi'an City in China as a case study site,analyzed the features of population suburbanization and industry suburbanization and pointed out the impacts of suburbanization on urban eco-environment.Based on the research,suggestions of countermeasures for urban planning and municipal management of Xi'an City in protecting urban eco-environment and conserving natural ecology were put forward in the end.

Research on the Supply-Side Reform Promotes Economic Growth Model in Xi’an

Xi’an is situated at west China, the industrial structure the restriction function which grows to the economy is not balanced more obvious, uni？ es the Xi’an actual situation, speeds up the supplies side constitutive property reform, the promotion industrial structure optimized promotion appears especially importantly. Firstly, this paper analyzes the present situation and development trend of supply-side reform at home and abroad. Based on the situation of Xi’an, the author analyzes ？ ve production-side reforms, such as “de-production,” “de-stocking,” “deleveraging”, “cost reduction” The author puts forward the main problems of Xi’an’s supply-side reform to promote economic growth. Finally, it puts forward the path choice of supply-side reform to promote economic growth in Xi’an. Adhere to reform and expand and demand side, supply side in xian accurate docking, supply and demand in xi ‘an supply side reform should constantly improve production quality, give full play to the market on the supply side of the reform main body role and foster the subject of the new.

Spatial Downscaling Study of Land Surface Temperature Based on Multilayer Perceptron Model

Land Surface Temperature (LST) plays an important role in characterizing surface energy conversion and climate.Currently,there is a contradiction between temporal resolution and spatial resolution of commonly used LST data sources.With Xi’an City as the research object,Multilayer Perceptron (MLP) model was used to downscale 1,000 m × 1,000 m LST product to 250 m × 250 m based on MODIS data.The fitting effect was compared with that of traditional multiple linear regression model,and the LST retrieved from Landsat 8 OLI_TIRS was used as the reference to evaluate the accuracy.The results showed that the R~2 of LST data fitted by MLP model in the daytime and at night was above 0.85,and the predicted residuals followed the normal distribution.The model had good fitting effect,and the fitting effect of LST in the daytime was better than that at night,while the output LST was lower than the original LST.Compared with multiple linear regression model,the R~2 of MLP model was larger and the RMSE was smaller both in the daytime and at night.The MLP model had not only stronger explanatory ability,but also more accurate prediction results.After downscaling by MLP model,the spatial resolution of LST was improved,which could reflect the spatial distribution pattern of LST and landscape features of underlying surface more accurately.The test results of LST retrieved from Landsat 8 OLI_TIRS showed that the covariance of the two was positive and the correlation coefficient was 0.951 3.The MLP model achieves the expected downscaling effect well,and has important application significance in acquiring high-resolution LST.

Reflections and Enlightenments on the Population Size Determination in Urban Master Planning in China:A Case Study of Xi'an City

There is a long-term problem that the population size determination in urban master planning usually deviates from the implementation result.How to determine the population size scientifically and reasonably during the transformation of spatial planning system in China has become the focus of attention in the new era.Taking Xi’an as an example,based on the analysis of differences between the population size determination and the actual development of population in the four rounds of urban master planning since the founding of the People’s Republic of China in 1949,this paper reflects on the reasons for the inaccuracy of population estimates from three aspects:the connotation of"goal-oriented"planning,the planning objective of"growthism,"and the determination method of"mechanical simplicity."In the context of territorial and spatial planning,this paper puts forward enlightenments for the population size determination in urban master planning in three aspects,i.e.,putting the people first and combining rigid and elastic control,practicing ecological civilization and strengthening bottom line thinking,and establishing a sound methodological system and unified standards and regulations.