An Approach of Reducing Overall Level of Export Fluctuations of the Export-oriented Countries

Overall level of export fluctuations of the export-oriented countries with rising export volume partly stem from the market failure caused by free choice of export enterprises,some government intervention thus may be necessary.To reduce the level of fluctuations of the export growth rates in these countries,this paper,taking the significant differences of the exports among various markets into account and thus using a new index named relative variance to measure the export volatility risks,proposes a model of merchandise market portfolio,a modified version of Markowitz model,available to provide explicit guidelines for the firms,the industries and even the whole country to optimize the structure of their export markets.An application of this model to the case of China’s apple is then discussed.The results show that the market share of China’s apple in 7 sub-markets should be redistributed drastically.

HAS THE PEARL RIVER DELTA BEEN AN EXPORT-ORIENTED ECONOMY?

Ever since the introduction of the Open Door Policy, the Pearl River Delta (PRD) has enjoyed very phenomenal export and economic growth. As a result, many scholars have tried to associate the two phenomena and described the region as an,'export-oriented economy'.However, these studies, mostly based on the rapid export growth of the PRD and its status as the most important exporting area of the country,have not paid any heed to the actual export-orientation of the regional economy and, hence, cannot prove that the PRD has been a 'truly'export-oriented economy. in view of these shortcomings. the present paper attempts to re-examine the issue from the viewpoint of the PRD's local economy, at both the regional and county levels. The study period is from 1981 to 1990. Judging from the export-dependency indices and the relative importance of exports in accounting for the economic growth and industrialization of the PRD, this paper concludes that the region, though having signs of increasing export-orientation, cannot be categorized as a 'truly' export-oriented economy. In addition, it also shows that most of the 'evidences' or 'common beliefs' behind the notion of an export-oriented economy in the RD are illusionary, if not erroneous. Finally, the paper explores into the reasons behind the low export-orientation of the PRD and tries to sugyst some ways for boosting the export-orientation of the PRD and tries to suggest some ways for boosting the export-orientation of the region.

Current Situation and Problems of Export-oriented Tilapia Processing in Guangxi and Countermeasures

Guangxi Zhuang Autonomous Region is an excellent area for tilapia breeding in China,and the development of tilapia industry has received high attention of both the state and Guangxi government. The foreign exchange earning is an essential industrial form of tilapia industry in Guangxi. Thus,enhancing the competitiveness of export-oriented tilapia processing is of great significance to the development of tilapia industry. On the basis of field survey,this paper analyzed current situation of export-oriented tilapia processing in Guangxi. At present,tilapia processing industry in Guangxi has realized preliminary standardization,large-scale and grouping,but it is still faced with some problems and challenges,such as low industrialization level,no balanced marketing,and imperfect product quality safety monitoring measures. Therefore,it is required to create favorable environment for export-oriented tilapia processing industry in Guangxi through enhancing policy support,increasing financial input and supporting tilapia processing leading enterprises.

Export-Oriented Economy in Shenzhen

In the past 15 years Shenzhen has made great achievements in its export-oriented economy. According to customs’ statistics, the city’s export value stood at US $ 14.3 billion in 1993 and US $ 12.1 billion in the first three quarters of 1994. The total import and export value was US $ 23.8 billion in the first three quarters of 1994, a 1, 500-fold increase over 1979 and an average annual growth rate of 70%. Export trade held a small part in Shenzhen’s economy

Impetus for Export-Oriented Economy——Review of foreign capital utilization in Hunan during the Eighth Five-Year Plan period

Since its implementation of the openingpolicy,China has witnessed greatsuccess in foreign fund utilization.Hunan,situated in the hinterland,beganto introduce foreign capital a little later thanthe coastal areas.In 1979,Hunan began toconduct processing and assembling businessand compensation trade,but gained only afew million US dollars.A vast change wastook place in the Eighth Five-Year Planperiod,achieving a great quantitative andqualitative rise in foreign capital utilizationas compared with the sixth and seventh Five-Year Plan periods.In the past five years,Hunan has approved 4,001 foreign-fundedprojects,a 5,5-fold increase over the total forthe previous 12 years(1979-1990),including3,584 projects directly financed by

Zhangjiagang's Strategies for the Export-oriented Economy

Following its fast development over the past dozen years, especially the past three years, Zhangjiagang, a coastal city in Jiangsu Province has established conditions for the further advance of its export-oriented economy. An official of the city announced to the press in Beijing recently that with the aim of building Zhangjiagang into a modern port city by the end of the century, the following three strategies have been adopted:

Wings of Change Angola’s new international airport becomes a symbol of high-quality cooperation under the BRI

The new Dr.Antonio Agost inho Neto International Airport(AIAAN)infrastructure project is valued at around$3 billion.The project was fully funded by the Angolan government as a public investment,with lending from the Chinese government for the airport construction.China National Aero-Technology International Engineering Corp,the key construction subsidiary of AVIC International Holding,is the contractor for the project.

Assessing the Hazard Grade of Birdstrike in Spring at Baita Airport, Hohhot

Between March and May 2005, bird communities in four sample plots at Baita Airport were studied using strips methods in Hohhot, Inner Mongolia. A total of 59 species belonging to 10 orders and 26 families were recorded. Based on the principles of avian community ecology, the community parameters were discussed, including the comparative importance value, distribution coefficient, density and probability of interactive encounter. By analyzing these indices, combined with their flight behaviors at the airport and its neighbourhood, we identified bird species that have the potential to threaten flight security at Baita Airport; The results showed that the 23 bird species including magpie and red falcon are the most hazard to flight security and the eight bird species including sparrow Hawk and Greenfinch are the hazard. Furthermore, we assessed the bird species＇ different hazard grades to flight security.

OPTIMIZATION OF AIRPORT TAXIING PLANNING DURING CONGESTED HOURS BASED ON IMMUNE CLONAL SELECTION ALGORITHM

In order to ease congestion and ground delays in major hub airports, an aircraft taxiing scheduling optimization model is proposed with schedule time as the object function. In the new model, the idea of a classical job shop-schedule problem is adopted and three types of special aircraft-taxi conflicts are considered in the constraints. To solve such nondeterministic polynomial time-complex problems, the immune clonal selection algorithm（ICSA） is introduced. The simulation results in a congested hour of Beijing Capital International Airport show that, compared with the first-come-first-served（FCFS） strategy, the optimization-planning strategy reduces the total scheduling time by 13.6 min and the taxiing time per aircraft by 45.3 s, which improves the capacity of the runway and the efficiency of airport operations.

Airport automatic detection in large space-borne SAR imagery

A method to detect airports in large space-borne synthetic aperture radar（SAR） imagery is studied.First,the large SAR imagery is segmented according to amplitude characteristics using maximum a posteriori（MAP） estimator based on the heavytailed Rayleigh model.The attention is then paid on the object of interest（OOI） extracted from the large images.The minimumarea enclosing rectangle（MER） of OOI is created via a rotating calipers algorithm.The projection histogram（PH） of MER for OOI is then computed and the scale and rotation invariant feature for OOI are extracted from the statistical characteristics of PH.A support vector machine（SVM） classifier is trained using those feature parameters and the airport is detected by the SVM classifier and Hough transform.The application in space-borne SAR images demonstrates the effectiveness of the proposed method.

Numerical study on settlement of high-fill airports in collapsible loess geomaterials:A case study of Lüliang Airport in Shanxi Province,China

Foundation settlement is of great significance for high-fill engineering in collapsible loess areas.To predict the construction settlement of Lüliang Airport located in Shanxi Province,China,a plane strain finite element method considering the linear variation in the modulus,was carried out in this paper based on the results of geotechnical tests.The stress and deformation of four typical sections caused by layered fill are simulated,and then the settlement of the high-fill airport is calculated and analyzed by inputting three sets of parameters.The relative soft parameters of loess geomaterials produce more settlement than the relatively hard parameters.The thicker the filling body is,the greater the settlement is.The filling body constrained by mountains on both sides produces less settlement than the filling body constrained by a mountain on only one side even the filling thickness is almost the same.The settlement caused by the original subbase accounts for 56%−77%of the total settlement,while the fill soils themselves accounts for 23%−44%of the total settlement,which is approximately consistent with the field monitoring results.It provides a good reference for predicting the settlement of similar high-fill engineering.

Panzhihua Airport Landslide (Oct. 3rd 2009) and an Emergency Monitoring and Warning System Based on the Internet of Things

Panzhihua city （26°O5＇-27°21＇N, 101°OS＇- 102°15＇E）, located in a mountainous area, is one of the large cities in Sichuan province, China. A landslide occurred in the filling body of the eastern part of the Panzhihua airport on October 3, 2009 （hereafter called the lo.3 landslide）. We conducted field survey on the landslide and adopted emergency monitoring and warning models based on the Internet of Things （loT） to estimate the losses from the disaster and to prevent a secondary disaster from occurring. The results showed that four major features of the airport site had contributed to the landslide, i.e, high altitude, huge amount of filling rocks, deep backfilling and great difficulty of backfilling. The deformation process of the landslide had six stages and the unstable geological structure of high fillings and an earthquake were the main causes of the landslide. We adopted relative displacement sensing technology and Global System for Mobile Communications （GSM） technology to achieve remote, real-time and unattended monitoring of ground cracks in the landslide. The monitoring system, including five extensometers with measuring ranges of 200, 450 and 7oo mm, was continuously working for 17 months and released 7 warning signals with an average warning time of about 26 hours. At 10 am on 6 December 2009, the system issued a warning and on-site workers were evacuated and equipment protected immediately. At 2：20 medium-scale collapse monitoring site, which proved the reliability pm on 7 December, a occurred at the No. 5 justified the alarm and and efficiency of the monitoring system.

A Partial Parallel Airport Gate Assignment Supported by a Knowledge－based System Combined with Mathematical Programming

The gate assignment at an airport is one of the major activities in airport operations.With the increase of passenger traffic volumes and the number of flights, the complexity of this task and the factors to be considered have increased significantly, and an efficient gate utilizationhas received considerable attention. For overcoming the shortcomings of previous gate assignmentapproaches, this paper presents a partial parallel gate assignment approach, by which more factorsconcerning aircraft and gates can be collsidered at the same time. This paper also presents themethod of using a knowledge-based system combined with a mathematical programming method forgetting an optimized feasible assignment solution. By this way, it is more easily to get the solutionthat satisfies both the static and dynamic situations,and thus it may adapt well to meet the needsof actual use to rea-time operations. An experimental prototype has been implemented, and a casestudy is presented at the end of the paper.

A new approach of drawing airport noise contours on computer based on Surfer

Noise contours are used to describe the extent of airport noise pollution and to plan land use around airports. The L WECPN(weighted equivalent continuous perceive noise level) recommended by ICAO(International Civil Aviation Organization) is adopted as airport noise rating parameter in this paper. With the help of various mathematical models in the software Surfer, noise contours can be drawn automatically by the completed program in Visual C++ Code. Corrections for thrust, velocity, atmospheric temperature, humidity and lateral ground attenuation are also considered in the new method, which can improve the efficiency of drawing contours. An example of its use for drawing noise contours of an airport in Zhejiang Province of China is proposed and the predictions and the measurements show agreements well.

The Application of Deep Learning in Airport Visibility Forecast

This paper uses Urumqi International Airport’s hourly observation from 2007 to 2016 and builds regression prediction model for airport visibility with deep learning method. From the results we can see: the absolute error of hourly visibility is 706 m. When the visibility ≤ 1000 m, the absolute error is 325 m, and this method can predict visibility’s trend. So we can use this method to provide the airport visibility’s objective forecast guidance products for aviation meteorological services in the future. In this paper, the Urumqi area is as the research object, to explore the depth of learning in the field of weather forecasting applications, providing a new visibility return forecast for weather forecast personnel so as to improve the visibility of the level of visibility to ensure the safe and stable operation of the airport.

Interpretation of EC Fine Grid Numerical Prediction Products in the Forecast of Frozen Fog in Urumqi Airport

In this paper, Urumqi Airport time-lapse ground man-made observation data from November 2015 to February 2017, European fine grid (0.25 × 0.25) initial field (20 o’clock) and the forecast field within 24 hours were utilized. From November 2015 to February 2016, the relevant materials were used as research samples (a total of 948 times), and from November 2016 to February 2017 as test samples (a total of 922 times), statistical methods were used to establish the scoring standards. And each relevant element was scored. After the score, the score level range was delineated, and the visibility forecast was performed according to the scope. The conclusions are as follows: 1) European fine grid forecast products are with good correspondence with the visibility of this field are 850 hPa and 2 m high temperature inversion, 850 hPa relative humidity and 850 hPa wind field over the field. 2) Through the statistical analysis of scores, it is defined that the score below 400 is level 4, the score above 1000 is level 1, the difference is significant, and the forecast indication is strong. Level 2 and level 3 are more evenly distributed, with no more concentrated fractions. 3) Applying the test sample to test the above indicators. The forecast accuracy of level 1 is 61.2%, and the forecast accuracy of level 4 is 97.2%, so level 1 and level 4 are expected to obtain better forecast results, which is of practical application value.

Collaboration Optimization of Flight Schedule in Beijing⁃Tianjin⁃Hebei Airport Group

The coordinated and integrated development of regional airport group system has been identified as an important research topic in the field of air traffic management in China.However,due to the clear limitation on airspace resources and severe traffic congestion,it is necessary to further study the problem of flight schedule coordination optimization for airport clusters.We take the Beijing-Tianjin-Hebei airport Group as an example and construct an optimization model of flight schedule with the minimum adjustment and delay.The design of the implementation algorithm is proposed.As demonstrated by the simulation results,the flight delay in the Beijing-Tianjin-Hebei multi-airport system is noticeably reduced by applying both the optimization model and the algorithm proposed in this paper.

Analysis of Low-cloud and Low-visibility Weather in Shanghai Pudong International Airport on March 7 in2016

Based on data of the actual message of Pudong Observatory,Jiangsu meteorological information sharing platform,short-time nowcasting business in the Yangtze River Delta,and the East China regional aviation numerical forecast system,the process of low-cloud and low-visibility weather in Shanghai Pudong International Airport lasting from the nightfall on March 7 to the morning on March 8 in 2016 was analyzed firstly,and then three numerical forecast systems( the East China regional aviation numerical forecast system,the East China aviation meteorological fine ensemble forecast system,and short-time nowcasting in the Yangtze River Delta) were compared to assess the accuracy of the numerical forecast.

Airport Information Systems—Airside Management Information Systems

Research on the intersection of the areas of aviation and management of information systems is scarce. Airports, more than ever before need to align their information systems to gain a competitive advantage and become more efficient in their operations. A proper classification is a prerequisite to systems alignment. The purpose of this paper is to provide descriptions of some of the airport management information systems, connections to or interoperability with other systems, and the key uses and users of each system. There are many types of management information systems and they can be organized or classified in a number of different ways. Furthermore, each system may or may not be necessary for a particular airport depending on the business goals and objectives and the certificate which the airport is operating under. Consequently, the system classification schema presented in this paper is neither all-inclusive nor exclusive;however, a number of leading aviation practitioners, business professionals, and educators in the industry were instrumental in both proposing and validating the schema. The study used interviews, documentation, and observation as the primary sources of data.

Impact of the Sanya new airport artificial islands project on tidal dynamics of the Hongtang Bay

By establishing a 3-dimensional hydrodynamic model of the Hongtang Bay and the validation tests,tidal currents of the area before and after the construction of the Sanya new airport project,which include two artificial islands built respectively to accommodate the airport and its connected technology park,are simulated.The hydrodynamic impacts of the islands on the Hongtang Bay and surrounding waters were analyzed by comparing flow fields and velocities of tidal currents under the two conditions.