第一书记来了 梨树村变了

在距延吉市区约70公里的三道湾镇梨树村,村民们谈起驻村第一书记刘永时,总有说不完的话、道不完的情,言语间透着的都是感激,脸上带着的是质朴的笑容。人们都说:'第一书记来了,梨树村真的变了。'让基础设施先行'脱贫'2018年1月,延边州教育局干部刘永到三道湾镇梨树村担任第一书记兼驻村工作队队长,开展脱贫攻坚工作。

Soil Nutrients in Intensive Agricultural Areas with Different Land-Use Types in Qingzhou County, China

On the basis of the data obtained from a field survey, the relationship between land use and soil nutrients was evaluated in Qingzhou County, Shandong Province, China, through a statistical analysis of differences in 17 nutrients in five types of cultivated land. The results showed significant effects (P < 0.05 or P < 0.01) of land-use type on soil organic matter and concentration of macronutrients, secondary nutrients, and micronutrients, as well as total salt and soil pH. In vegetable land, because of the large amounts of fertilizer applied to vegetable crops, the concentrations of most soil nutrients, with exception of available Si and micronutrients, were higher than those in grain cropland. Grain cropland had a significantly lower total salt content (P < 0.01) and tended to have a higher soil pH than vegetable land. Within subtypes of land use, dry land, irrigable land, and open-air vegetable land had the highest coefficient of variation (CV) for available P, whereas protected vegetable land had the highest CV for total N and available S. In general, land-use types had greater impact on macronutrients than on secondary nutrients and micronutrients.

Spacecraft Attitude Control with Saturation and Attitude Forbidden Constraints via Second⁃Order Cone Programming

This paper investigates the optimal control problem of spacecraft reorientation subject to attitude forbidden constraints,angular velocity saturation and actuator saturation simultaneously.A second-order cone programming(SOCP)technology is developed to solve the strong nonlinear and non-convex control problem in real time.Specifically,the nonlinear attitude kinematic and dynamic are transformed and relaxed to a standard affine system,and linearization and L1 penalty technique are adopted to convexify non-convex inequality constraints.With the proposed quadratic performance index of angular velocity,the optimal control solution is obtained with high accuracy using the successive SOCP algorithm.Finally,the effectiveness of the algorithm is validated by numerical simulation.

Matrix-bound phosphine in Ny-Alesund Area of Arctic

Phosphine, a ubiquitous trace gas in the atmosphere, acts as a carrier of gasous phosphorus in the biogeochemical cycle. The research of phosphine will show new light on the mechanisms of how the phos- phorus supplement influence the biogeochemical cycle and global wanning. In this paper, we detect the phosphine in Arctic Pole area for the first time. The result shows that matrix-bound phosphine（MBP） ex- ists in all the samplings. Phosphine distributions varied with different environmental origins. Average phosphine concentrations in tundra soil, lake sediments, sea sediments, seabird-droppings and deer guanos were 14.17ng/kg dry, 35.44 kg dry, 67.20 kg dry, 32.9 ng/kg dry, and 25.52 ng/kg dry re- spectively. Correlation analysis shows that there is an obviously positive correlation between Porg and MBP. It could be concluded that anaerobic decomposition of Porg and the mechano-chemistry action of the rock probably are the possible reasons explaining the mechanism of MBP production in Arctic Pole area.

Recognition and depiction of special geologic bodies of Member 3 of Dongying Formation in Littoral Slope Zone,Qikou Sag

The purpose of this study is to forecast the profitable oil and gas reservoir,which is the key of finding hydrocarbon,based on the conception of special geologic bodies.With the guiding methodology of the research thinking of integration of point-line-surface by using the methods and techniques of logging,seismic,seismic attribute,and logging constrained inversion in 3D data volume,the special geologic bodies of Member 3 of Dongying Formation in Littoral Slope Zone of Qikou Sag,which has important hydrocarbon exploration potential,are recognized and described under the constraint of sequence stratigraphic framework.As a result,the developed scale,geometric shape and space distribution feature of the special geologic bodies are forecasted;the inner structure and sequence structure patterns of the geologic bodies are also ascertained.From the lowstand system tract (LST) and lacustrine expanding system tract (EST) to the highstand system tract (HST),the geologic bodies have evolved from relative centralization of lake basin reducing period to three relative dispersive isolated parts of broad lake basin period.According to the relevance and regularity of the development of geologic bodies,the conclusions can be obtained that three types of potential profitable reservoir traps,including the lithologic lens traps,lithologic updip pinchout traps and structural-lithologic composite traps,are forecasted.In addition,scientific basis for further hydrocarbon exploration in new area (few-well area and no-well area) is offered in the guidance of sequence stratigraphic model.

Assessment of Industrial Land Use Intensity: A Case Study of Beijing Economic-technological Development Area

In recent years, great economic output of land has been achieved in economic-technological development areas in China, but the intensity of land use in some of these areas is very low. The degree of the low intensity of land use needs to be evaluated. The current method of comprehensive evaluation and grading by one index system has the limitations due to the existence of differences between regions and industries. This paper evaluates industrial land use intensity by Total Factor Productivity (TFP) analysis, which not only measures the intensity but also illustrates the ef-ficiency of input factors. This method is applied to the Beijing Economic-technological Development Area (BDA). A comparison analysis on factor use efficiency and input structure of capital and labor between industries is also carried out in the absence of a labor-income ratio.

Buffer Sizing Method for Constructing Stable Schedules with Duration Constraints

The assumption of static and deterministic conditions is common in the practice of construction project planning. However, at the construction phase, projects are subject to uncertainty. This may lead to serious schedule disruptions and, as a consequence, serious revisions oft.he schedule baseline. The aim of the paper is developing a method for constructing robust project schedules with a proactive procedure. Robust project scheduling allows for constructing stable schedules with time buffers introduced to cope with multiple disruptions during project execution. The method proposed by the authors, based on Monte Carlo simulation technique and mathematical programming for buffer sizing optimization, was applied to scheduling an example project. The results were compared, in terms of schedule stability, to those of the float factor heuristic procedttre.

Informal Settlements： A Shape Grammar Approach

Informal urban development is seldomly covered in academic studies or professional architectural training. This article sets forth the first stage of a novel study that observes the informal city using the methodology of analysis of architecture called shape grammars. The idea is to recognize peculiarities in the occupation of the land and the volumetric features of the buildings. Rocinha favela, in Rio de Janeiro, Brazil, is taken as a case study with the primary aim of extrapolating a set of rules for its morphological features so that these rules can be used to generate new shapes, whilst bearing in mind the issues of adaptation and transformation which are so characteristic of informal settlements. There is some expectation that this study may help improve the housing and public space in the favela and enable new housing programs to observe the way the buildings and different architectural elements combined, forming a new channel of interchange with the spatial organization of the favela.

Favela’s Houses as Design Reference： Using Shape Grammar

Shape grammar has been used by many researchers to identify and/or define languages in architectural design. This paper presents a methodology developed using shape grammar to analyze the informal city, specifically Favela da Rocinha’s buildings, in Rio de Janeiro. The goal was finding the organizational foundations of self-built houses in an informal settlement. A methodology was developed to find composition patterns and to infer a set of rules which defines a shape grammar of Rocinha houses, allowing synthesis and analysis of low cost solutions for house designs. And above all, it highlights underlying design solutions produced empirically by inhabitants of favelas, emphasizing the diversity in favela’s architecture, and, that is also able to reflect the particular necessities of targeted population.

Conserving Agricultural Heritage Systems through Tourism: Exploration of Two Mountainous Communities in China

Community plays an important role in the preservation of agricultural heritage system （AHS）. Recently, many AHS have been valorized as interesting resources for rural tourism. The expectations are that tourism development （TD） can be supportive for the conservation of AHS while creating benefits for local communities. In this study, two mountainous pilot villages （Longxian and Xiaohuang） in a global conservation project for traditional agricutural systems - Globally Important Agricultural Heritage Systems （GIAHS） were selected to identify the relationship between AHS conservation and TD. The study undertook in-depth interviews, and questionnaires of village residents and informal discussions with local villagers. A t-test and a linear regression model were implemented to explore the comparative dimensions of the two communities with different geographical location, economic situation, and stage of TD. The research found some similarities and differences in the two mountainous communities during AHS conservation and TD. Firstly, AHS are preservaed well in both villages unconsiously, while the residents in Xiaohuang value more highly the heritage elements than the respondents in Longxian, and the villagers in Xiaohuang are more worried about their heritage system; Secondly, both villages expect lots of benefits from TD and they clearly perceive more positive than negative impact from tourism and thus approve TD, while the hugedifferent perception on transportation and accessibility in the two villages reflects the bottleneck of TD in Xiaohuang village. At the same time, the respondents from Xiaohuang perceive more positive and fewer negative impact from tourism than the respondents from Longxian. Thirdly, the respondents in the two villages all show positive attitudes towards participation in tourism mostly motivated by the high income expectation. The main factors to determine the community perception in two villages were also analyzed based on the data process. A location-based coneeputal framework of AHS conservation in partnership with TD at community scale is proposed at the end of the paper. The dynamics of tourism development, that could enhance a better understanding of the complex relationship between conservation objectives and tourism development are discussed.

The Diseases of Coffee under the Changing Climate： The Established Situation in Kenya

The distribution of key diseases of coffee particularly the Coffee berry disease （CBD） and Coffee leaf rust （CLR） in Kenya depended on coffee growing agro-ecological zones, which have varied climatic conditions. Under the changing climate, there has been an observed shift in their altitudinal distribution. To ascertain whether these diseases have shifted in their distribution, an extensive field survey covering 120 coffee farmers/households in all the coffee growing agro ecological zones was conducted. The survey established four coffee diseases; -viz. Coffee berry disease, Coffee leaf rust, Fusarium root disease （FRD） and Bacterial blight of coffee （BBC） as of economic importance to the farming community. The CBD, CLR and FRD were widely distributed in all coffee growing agro ecological zones. Of the four diseases, the CBD （65%） and CLR （63.3%） were most common as reported by the farmers, however these diseases dominated in their respective agro ecological zones; CBD （72.2%） in Upper Midland 1 （UM1） and CLR （75.0%） in Upper Midland 2 （UM2）. Both diseases equally infected coffee farms （69.2%） in main coffee zone （UM2）. According to the survey said diseases have increased their altitudinal range, a trend that will increase diseases pressure in coffee growing areas.

Assessment of Wind Characteristics and Wind Potential Energy Yield in the Jordanian Southern Region

This study presents investigation and assessment of wind characteristics and wind energy potential for four sites at the Jordanian southern region （Hareer, Ma＇an, Aqaba and Fujaij）. Based on the available measured data sources, the data were analyzed using hourly and mean monthly WS （wind speed） data at different heights, using a two-parameter probability distribution of Weibull function. The recognized monthly and yearly Weibull functions were considered for the second analysis step. The wind potential energy yields assessment for an ideal capable wind turbine was implemented. Finally, for energy yield estimation, a wind turbine from Vestas with a 660 kW rated power was chosen. The wind turbine characteristics： AF （availability factor）, CF （capacity factor） and wind turbine efficiency （η）, were defined and calculated for each site. The result of the analysis showed that, all sites have good wind energy potential, the Hareer site at Tafila has the best wind resources.

Integrated assessment model of water resources constraint intensity on urbanization in arid area

Water has become a key restricting factor of the urbanization process in developing arid areas.Based on qualitative and quantitative methods,we constructed an integrated in-dicator system to assess the status of water resources and urbanization system in arid area,and established an AHP model reformed by entropy technology to evaluate the temporal and spatial variations of water resources constraint intensity on urbanization.This model is ap-plied to the Hexi Corridor,a typical arid area in NW China.Results show that,water resources constraint intensity on urbanization in the Hexi Corridor is bigger in the east and smaller in the west.It has changed from the less strong constraint type into the strong constraint type from 1985 to 2005,yet it decreased appreciably in recent years.At present,most areas in the Hexi Corridor belong to the less strong or strong constraint type.Through rational adjustment of water resources and urbanization system,the Hexi Corridor can still promote water resources sustainable utilization and accelerate the urbanization process.This study suggests that the integrated assessment model of water resources constraint intensity on urbanization is an effective method to analyze the conflicts between water resources and urbanization system in arid area.

Comparison between several seismic inversion methods and their application in mountainous coal fields of western China

With the objective of establishing the necessary conditions for 3D seismic data from mountainous areas in western China, we compared the application results of wave impedance technology in the lithology and exploration of coal fields. First, we introduce principles and features of three kinds of inversion methods. i.e., Model-Based Inversion, Constrained Sparse Spike Inversion (CSSI) and Geology-Seismic Feature Inversion. Secondly, these inversion methods are contrasted in their application to 3D seismic data from some coalfields in western China. The main information provided by the research includes: improving the vertical resolution of coal deposit strata, inferring lateral variation of the lithology and predicting coal seams and their roof lithology. Finally, the comparison between the three methods shows that the model-based inversion has the higher resolution, while CSSI inversion has better waveform continuity. The geology-seismic feature inversion requires information from a large number of wells and many types of logging curves of good quality. All three methods can meet the requirements of seismic exploration for lithological exploration in coal fields.

Current Status, Challenges and Policy Recommendations Regarding the Sustainable Development of Mining Areas in China

As important suppliers of energy resources, mining areas have made huge contributions to China’s socio-economic development. However, some factors are inhibiting the further development of mining areas and, thereby pose a threat to social stability, as wel as resource and energy security in the country. In 2012, the National Development and Reform Commission formulated a project aiming to support the sustainable development of mining areas. This study collected and compiled the project’s first-hand survey data from 128 mining areas across China and comprehensively investigated the current development status of the country’s mining areas. The problems facing the development of China’s mining areas are analyzed, and four speciifc suggestions are provided, namely：promote industry transformation, remove institutional constraints, improve people’s livelihoods to maintain the stability of mining areas, and protect the environment to provide a clean, healthy living environment for mining area residents. This paper provides the ifrst comprehensive and systematic picture of China’s mining areas and highlights the importance of mining areas for the country’s economic and social development.

Evolution Characteristics of Urban Land Use Efficiency under Environmental Constraints in China

In the context of high-quality economic development and coordinated regional development,this paper measures the urban land use efficiency of 275 prefecture-level cities in China from 2003 to 2016,taking into account the unexpected output(environmental pollution),and explores the temporal and spatial evolution of urban land use efficiency through kernel density estimation and spatial autocorrelation analysis.The results show that:(1)From 2003 to 2016,China’s urban land use efficiency showed an overall fluctuating growth,but it remained at a low level.The mean value of urban land use efficiency has been gradually decreasing in east,west and central regions.(2)In the whole country and the eastern,central and western regions,the regional differences have been increasing,and the efficiency values of the whole country and the east have become polarized.(3)Urban land use efficiency shows a weak spatial positive correlation,but the degree of spatial agglomeration is increasing.High-high agglomeration areas are mostly distributed in the southeastern coastal areas,and extend into the central region,while most of the high-low polarized areas are the capital cities of the central and western regions.The low-high depressed areas are scattered around the high-value accumulation areas,some of which have turned into high-high agglomeration areas during the study period,while the low-low homogeneous areas are mainly distributed in the central,western and northeastern regions.Therefore,it is proposed that strengthening the utilization of urban stock land,strengthening the regional cooperation mechanism,and formulating policies which improve the efficiency of land use are effective ways to promote the intensive and economical use of urban land,as well as regional coordinated development.

Remote sensing-based artificial surface cover classification in Asia and spatial pattern analysis

Artificial surfaces, characterized with intensive land-use changes and complex landscape structures, are important indicators of human impacts on terrestrial ecosystems. Without high-resolution land-cover data at continental scale, it is hard to evaluate the impacts of urbanization on regional climate, ecosystem processes and global environment. This study constructed a hierarchical classification system for artificial surfaces, promoted a remote sensing method to retrieve subpixel components of artificial surfaces from 30-m resolution satellite imageries(Globe Land30) and developed a series of data products of high-precision urban built-up areas including impervious surface and vegetation cover in Asia in 2010. Our assessment, based on multisource data and expert knowledge, showed that the overall accuracy of classification was 90.79%. The mean relative error for the impervious surface components of cities was 0.87. The local error of the extracted information was closely related to the heterogeneity of urban buildings and vegetation in different climate zones. According to our results, the urban built-up area was 18.18×104 km2, accounting for 0.59% of the total land surface areas in Asia; urban impervious surfaces were 11.65×104 km2, accounting for 64.09% of the total urban built-up area in Asia. Vegetation and bare soils accounted for 34.56% of the urban built-up areas. There were three gradients: a concentrated distribution, a scattered distribution and an indeterminate distribution from east to west in terms of spatial pattern of urban impervious surfaces. China, India and Japan ranked as the top three countries with the largest impervious surface areas, which respectively accounted for 32.77%, 16.10% and 11.93% of the urban impervious surface area of Asia. We found the proportions of impervious surface and vegetation cover within urban built-up areas were closely related to the economic development degree of the country and regional climate environment. Built-up areas in developed countries had relatively low impervious surface and high public green vegetation cover, with 50–60% urban impervious surfaces in Japan, South Korea and Singapore. In comparison, the proportion of urban impervious surfaces in developing countries is approaching or exceeding 80% in Asia. In general, the composition and spatial patterns of built-up areas reflected population aggregation and economic development level as well as their impacts on the health of the environment in the sub-watershed.

The Institutional Supply of China＇s Participation in the International Monetary System Reform

There exist dual features of internationalization and regionalization in the current international monetary system, and the U.S. dollar is still in a dominant position in the system. A lack of relevant institutional constraints has led to institutional deficiencies and systematic risks in the international monetary system, and resulted in the frequent financial crises in the world in recent years. As an emerging economy closely related to the current international monetary system, China has responsibilities and obligations to participate actively in international monetary system reform and push forward international monetary system reform through institutional supply.

Community Detection with the Weighted Parsimony Criterion

Community detection in networks has been studied extensively in the last decade. Many criteria, expressing the quality of the partitions obtained, as well as a few exact algorithms and a large number of heuristics have been proposed. The parsimony criterion consists in minimizing the number of edges added or removed from the given network in order to transform it into a set of disjoint cliques.Recently Zhang, Qiu and Zhang have proposed a weighted parsimony model in which a weight coefficient is introduced to balance the numbers of inserted and deleted edges. These authors propose rules to select a good value of the coefficient, use simulated annealing to find optimal or near-optimal solutions and solve a series of real and artificial instances. In the present paper, an algorithm is proposed for solving exactly the weighted parsimony problem for all values of the parameter. This algorithm is based on iteratively solving the problem for a set of given values of the parameter using a row generation algorithm. This procedure is combined with a search procedure to find all lowest breakpoints of the value curve(i.e., the weighted sum of inserted and deleted edges). Computational results on a series of artificial and real world networks from the literature are reported. It appears that several partitions for the same network may be informative and that the set of solutions usually contains at least one intuitively appealing partition.

Attribute reduction in interval-valued information systems based on information entropies

Interval-valued data appear as a way to represent the uncertainty affecting the observed values. Dealing with interval-valued information systems is helpful to generalize the applications of rough set theory. Attribute reduction is a key issue in analysis of interval-valued data. Existing attribute reduction methods for single-valued data are unsuitable for interval-valued data. So far, there have been few studies on attribute reduction methods for interval-valued data. In this paper, we propose a framework for attribute reduction in interval-valued data from the viewpoint of information theory. Some information theory concepts, including entropy, conditional entropy, and joint entropy, are given in interval-valued information systems. Based on these concepts, we provide an information theory view for attribute reduction in interval-valued information systems. Consequently, attribute reduction algorithms are proposed. Experiments show that the proposed framework is effective for attribute reduction in interval-valued information systems.