Protection of Geographical Indication and Intangible Cultural Heritage of the Chrysanthemum Resources

We conduct an analysis on the current protection of geographical indication intellectual property and intangible cultural heritage of chrysanthemum resources. The following recommendations are explored and set forth: ( i) Collecting and sorting the intangible cultural heritage related to chrysanthemum,and declaring the provincial and national list; ( ii) Establishing the productive protection demonstration bases of intangible cultural heritage related to chrysanthemum; ( iii) Strengthening the declaration of geographical indication intellectual property protection of chrysanthemum; ( iv) Encouraging the use of special marks of geographical indication,and cultivating chrysanthemum brand; ( v) Establishing various kinds of national quality standards of geographical indication of chrysanthemum; ( vi) Implementing the double protection of intangible cultural heritage and geographical indication of traditional chrysanthemum.

Intangible Cultural Heritage and Geographical Indication of Specialty Resources: A Case Study of Shiyan City

The protection of intangible cultural heritage and geographical indications of the specialty in Shiyan City was analyzed,and then related suggestions were proposed,for example,to collect and organize the intangible cultural heritage related to traditional specialty;to enhance the application of those intangible cultural heritage projects related to traditional industry and agriculture;to establish some demonstration bases for the productive protection of intangible cultural heritages;to strengthen the application of geographical indications of traditional specialty;to build national quality standards for various specialty with geographical indications;to integrate and cultivate the famous specialty brands with geographical indication;to implement the double protection of the geographical indications and intangible cultural heritages;to improve the poverty alleviation through developing the specialty industry with geographical indications.

Chemical Behavior of Cadmium in Purple Soil as Affected by Surfactants and EDTA

A soil batch experiment was conducted to investigate both separate and compound effects of three types of surfactants: anionic dodecylbenzene sulfonic acid sodiumsalt (DBSS), cationic cetyltrimethylammonium bromide (CTAB), and non-ionic nonyl phenol polyethyleneoxy ether (TX-100), as well as ethylenediaminetetraacetic acid (EDTA) on cadmium solubility, sorption kinetics, and sorption-desorption behavior in purple soil. The results indicated that both individual application of the three types of surfactants and surfactants combined with EDTA could stimulate Cd extraction from the soil with a general effectiveness ranking of EDTA/TX-100 > EDTA/DBSS > EDTA/CTAB > EDTA > TX-100 > DBSS > CTAB. Further study showed that the compound application of surfactants and EDTA had stronger (P < 0.05) effects on Cd solubility than those added individually. The application of surfactants and EDTA to purple soil (P < 0.05) decreased the proportion of Cd sorbed, while their effectiveness ranking was similar to that of enhanced solubilization. The sorption kinetics of Cd in purple soil was best described by the double-constant equation, while the Freundlich equation gave an excellent fit to the sorption isotherm curves. Therefore, surfactant-enhanced remediation of Cd contaminated soil is feasible and further research should be conducted.

Mining Weights of Land Evaluation Factors Based on Cloud Model and Correlation Analysis

The veracity of land evaluation is tightly related to the reasonable weights of land evaluation fac- tors. By mapping qualitative linguistic words into a fine-changeable cloud drops and translating the uncertain factor conditions into quantitative values with the uncertain illation based on cloud model, and then, inte- grating correlation analysis, a new way of figuring out the weight of land evaluation factors is proposed. It may solve the limitations of the conventional ways.

Suitability Evaluation of Rural Settlements Based on Accessibility of Production and Living： A Case Study of Tingzu Town in Hubei Prov- ince of China

Rural settlements are the main carriers of agriculture, rural areas and farmers; thus, optimizing the production and living space of rural settlements is highly significant to rural development. Taking the effective allocation of resources as the starting point, a suitability evaluation system of rural settlements, based on accessibility of production and living, was proposed in this study to provide scientific basis for the optimization of production and living space. The accessibility of production and living was measured by an improved two-step floating catchment area method, which considered proximity and availability based on the inclination of rural residents. The suitability evaluation system consisted of traditional suitability evaluation and newly proposed limiting factor identification based on the loss score proportion of suitability. Tingzu Town of Hubei Province, China, was chosen as the case study area. Based on the results of the suitability evaluation system, corresponding suggestions on rural land consolidation, industry division, as well as the layout of health care and education facilities were proposed to optimize the production and living space of rural settlements in Tingzu Town. It is found that the suitability evaluation based on accessibility of production and living is more scientific and accurate than the traditional ones which significantly overestimate production and living convenience. Moreover, the limiting factor identification can help us put forward suggestions according to local conditions and bring about the highly targeted optimization of production and living space of rural settlements.

Model of Land Suitability Evaluation Based on Computational Intelligence

A novel model of land suitability evaluation is built based on computational intelligence (CI). A fuzzy neural network (FNN) is constructed by the integration of fuzzy logic and artificial neural network (ANN). The structure and process of this network is clear. Fuzzy rules (knowledge) are expressed in the model explicitly, and can be self-adjusted by learning from samples. Genetic algorithm (GA) is employed as the learning algorithm to train the network, and makes the training of the model efficient. This model is a self-learning and self-adaptive system with a rule set revised by training.

Rhus laccase catalysis and product characterization of 1,2-dimethoxyphenol in organic solutions

Dimethoxyphenol was a widely used substrate in determination of laccases activity.It was surprised,however,that the products of it had not been completely determined until now.Studies were thus conducted on Rhus laccase (RL) and immobilized Rhus laccase (IRL)-catalyzed oxidation of 2,6-dimethoxyphenol (DMP) in water-organic solvent systems.Only one product,3,3′,5,5′- tetramethoxy-1,1′-biphenyl-4,4′-diol (TMBP),was produced by RL catalysis,and it was thoroughly characterized by FT-IR,NMR and GC-MS,etc.

Population structure and spatial pattern analysis of Quercus aquifolioides on Sejila Mountain,Tibet,China

Understanding population structure provides basic ecological data related to species and ecosystems.Our objective was to understand the mechanisms involved in the maintenance of Quercus aquifolioides populations.Using a 1 ha permanent sample plot data for Q.aquifolioides on Sejila Mountain,Tibet Autonomous Region(Tibet),China,we analyzed the population structure of Q.aquifolioides by combining data for diameter class,static life table and survival curve.Simultaneously,the spatial distribution of Q.aquifolioides was studied using Ripley's L Function in point pattern analysis.The results showed:(1) Individuals in Q.aquifolioides populations were mainly aggregated in the youngest age classes,that accounted for94.3% of the individuals; the older age classes had much smaller populations.Although the youngest age classes(ClassesⅠ and Ⅱ) had fewer individuals than Class Ⅲ,the total number of individuals in classes Ⅰ and Ⅱ was also greater than in classes Ⅳ to Ⅸ.In terms of tree height,fewsaplings,more medium-sized saplings and few large-sized trees were found.The diameter class structure of Q.aquifolioides populations formed an atypical ‘pyramid'type; the population was expanding,but growth was limited,tending toward a stable population.(2) Mortality of Q.aquifolioides increased continuously with age; life expectancy decreased over time,and the survivorship curve was close to a Deevey I curve.(3) The spatial distribution pattern of Q.aquifolioides varied widely across different developmental stages.Saplings and medium-sized tree showed aggregated distributions at the scales of 0–33 m and 0–29 m,respectively.The aggregation intensities of saplings and medium-sized trees at small scales were significantly stronger than that of large-sized trees.However,large-sized trees showed a random distribution at most scales.(4) No correlation was observed among saplings,medium-and large-sized trees at small scales,while a significant and negative association was observed as the scale increased.Strong competition was found among saplings,medium-and large-sized trees,while no significant association was observed between medium-and largesized trees at all scales.Biotic interactions and local ecological characteristics influenced the spatial distribution pattern of Q.aquifolioides populations most strongly.

The Activation of Fluorgypsum with Slag Activator and the Fluorine Solidification Mechanics

The mechanism of activator to fluorgypsum and the fluorine solidification were investigated by the performances of composite binding material.Through the setting time testing of fluorgypsum with NaOH,Na2SO4 and NaF,the least activator dosage were all 1%.And the cementitious material over 80% of fluorgypsum was processed to improve its quality with slag,fly ash and clinker.The maximum compressive strength of composite binding material was over 12.90 MPa in 28 days,and the concentration of fluroride reduced 64.7% which compared with the pure fluorgypsum binding material.Analysis of X-ray diffraction and scanning electron microscopy images showed that ettringite crystals,dihydrate gypsum crystals and C-S-H gel were filled with each other.The unreacted CaF2 crystals were embedded by a great deal of network and filamentous C-S-H gel.It was the main reason that the composite binding material strength improved,water resistance increased and leaching toxicity reduced.

An enhanced method for estimating snow water equivalent in the central part of the Tibetan Plateau using raster segmentation and eigenvector spatial filtering regression model

Snow water equivalent(SWE)is an important factor reflecting the variability of snow.It is important to estimate SWE based on remote sensing data while taking spatial autocorrelation into account.Based on the segmentation method,the relationship between SWE and environmental factors in the central part of the Tibetan Plateau was explored using the eigenvector spatial filtering(ESF)regression model,and the influence of different factors on the SWE was explored.Three sizes of 16×16,24×24 and 32×32 were selected to segment raster datasets into blocks.The eigenvectors of the spatial adjacency matrix of the segmented size were selected to be added into the model as spatial factors,and the ESF regression model was constructed for each block in parallel.Results show that precipitation has a great influence on SWE,while surface temperature and NDVI have little influence.Air temperature,elevation and surface temperature have completely different effects in different areas.Compared with the ordinary least square(OLS)linear regression model,geographically weighted regression(GWR)model,spatial lag model(SLM)and spatial error model(SEM),ESF model can eliminate spatial autocorrelation with the highest accuracy.As the segmentation size increases,the complexity of ESF model increases,but the accuracy is improved.

Protection of the Geographical Indication Right and New Plant Variety Right of Green Chinese Onion in China

Geographical indication right and new plant variety right are important agricultural intellectual property.This article researches the current situation on protection of geographical indication right of green Chinese onion resources and new plant variety right.And it puts forward the following measures for improvement:(i)Promoting the implementation of geographical indication product protection based on the national quality system;(ii)Establishing the national quality standards of geographical indication green Chinese onion,in order to improve quality standardization;(iii)Encouraging more enterprises within the scope of protection of geographical indication to use special signs of geographical indication;(iv)Unifying the green Chinese onion brands within the scope of protection of geographical indication;(v)Achieving the dual protection of geographical indication right and new variety right of green Chinese onion;(vi)Developing the tourism resources on geographical indication green Chinese onion,to develop tourism agriculture.

Road Centrality and Landscape Spatial Patterns in Wuhan Metropolitan Area,China

Road network is a corridor system that interacts with surrounding landscapes,and understanding their interaction helps to develop an optimal plan for sustainable transportation and land use.This study investigates the relationships between road centrality and landscape patterns in the Wuhan Metropolitan Area,China.The densities of centrality measures,including closeness,betweenness,and straightness,are calculated by kernel density estimation(KDE).The landscape patterns are characterized by four landscape metrics,including percentage of landscape(PLAND),Shannon′s diversity index(SHDI),mean patch size(MPS),and mean shape index(MSI).Spearman rank correlation analysis is then used to quantify their relationships at both landscape and class levels.The results show that the centrality measures can reflect the hierarchy of road network as they associate with road grade.Further analysis exhibit that as centrality densities increase,the whole landscape becomes more fragmented and regular.At the class level,the forest gradually decreases and becomes fragmented,while the construction land increases and turns to more compact.Therefore,these findings indicate that the ability and potential applications of centrality densities estimated by KDE in quantifying the relationships between roads and landscapes,can provide detailed information and valuable guidance for transportation and land-use planning as well as a new insight into ecological effects of roads.

Foreign Direct Investment with Chinese Characteristics:A Middle Path Between Ownership-Location-Internalization Model and Linkage-Leverage-Learning Model

The majority of multinational enterprises(MNEs) traditionally originate from developed countries.In the last ten years,however,there has been dramatic growth in foreign direct investment(FDI) from China.It is a comparatively new phenomenon that challenges the classic FDI theories.In this paper,we review the pros and cons of two important theories,known as the Ownership-Location-Internalization(OLI) model and Linkage-Leverage-Learning(LLL) model,and use the statistical data and company case studies from China to test the plausibility of these two models.We believe that neither of them suits totally: the OLI model is quite useful for understanding FDI from China to developing economies,while the LLL model is more powerful for explaining the FDI to developed economies.We argue that the companies from China attain a very advantageous position as intermediates in the global economy.They may catch up with the first movers if they integrate OLI-led and LLL-led FDI within one firm.This combination can bring together the most advanced knowledge acquired in developed economies with the knowledge about adaptation needs and the needs for cost reduction in production as expressed in developing economies.It may also accelerate the knowledge transfer globally.We thus fill a gap in research into the geographical pattern of Chinese FDI and offer a deeper understanding of the internationalization of Chinese MNEs and revolving knowledge transfer.

A New Method Based on Association Rules Mining and Geo-filter for Mining Spatial Association Knowledge

Association rule mining methods, as a set of important data mining tools, could be used for mining spatial association rules of spatial data. However, applications of these methods are limited for mining results containing large number of redundant rules. In this paper, a new method named Geo-Filtered Association Rules Mining(GFARM) is proposed to effectively eliminate the redundant rules. An application of GFARM is performed as a case study in which association rules are discovered between building land distribution and potential driving factors in Wuhan, China from 1995 to 2015. Ten sets of regular sampling grids with different sizes are used for detecting the influence of multi-scales on GFARM. Results show that the proposed method can filter 50%–70% of redundant rules. GFARM is also successful in discovering spatial association pattern between building land distribution and driving factors.

Dynamics of Soil Fauna in Da Hinggan Mountains, Northeast China

The dynamics of soil animals was studied in seven representative forest communities in the north of the Da Hinggan Mountains, Northeast China. The results indicate that it was distinctive in the changes of the numbers of soil animals and groups and diversity in relationship with seasons for macrofauna and meso-micro fauna in the study area. The numbers of the observed soil animals in different months were: October>August>June. Group number was larger in August and October, but smaller in June. The change of diversity index in different months was: August>June>Oc- tober. The biomass for macrofauna in different months was: October>June>August. The composition and number of each functional group was relatively stable. In the community of the predominant soil environment, the percentage of saprophagous animals was higher than carnivorous animals and herbivorous animals. The dynamics changes of sapro- phagous and carnivorous animals were distinctive, increasing from June to October, while the change of herbivorous animals was unremarkable.

SYSTEM FOR AUTOMATIC GENERALIZATION OF TOPOGRAPHIC MAPS

With the construction of spatial data infrastructure, automated topographic map generalization becomes an indispensable component in the community of cartography and geographic information science. This paper describes a topographic map generalization system recently developed by the authors. The system has the following cha- racteristics: 1) taking advantage of three levels of automation, i.e. fully automated generalization, batch generalization, and interactive generalization, to undertake two types of processes, i.e. intelligent inference process and repetitive operation process in generalization; 2) making use of two kinds of sources for generalizing rule library, i.e. written specifications and cartographers’ experiences, to define a six-element structure to describe the rules; 3) employing a hierarchical structure for map databases, logically and physically; 4) employing a grid indexing technique and undo/redo operation to improve database retrieval and object generalization efficiency. Two examples of topographic map generalization are given to demonstrate the system. It reveals that the system works well. In fact, this system has been used for a number of projects and it has been found that a great improvement in efficiency compared with traditional map generalization process can be achieved.

Urban Sprawl and Related Problems: Bibliometric Analysis and Refined Analysis from 1991 to 2011

To shed light on the general patterns and trends in urban sprawl research,and to provide reference for future study,bibliometric analysis and refined analysis are conducted for publications in this area from 1991 to 2011.The general publication output,the global geographical distribution of the authors,the funding and institutions involved,the research areas,and the source titles are analyzed and discussed.Scholars in the United States and China have produced most of the documents in urban sprawl and these two countries are also the largest contributors in terms of funding and institutions.′Environmental Sciences&Ecology′,′Urban Studies′,and′Geography′are the most common research areas,and the journal titled Urban Studies has contributed the most articles.Furthermore,the refined analyses on the 500 top-cited and most relevant publications have revealed that research on urban sprawl is closely associated with the categories of′Urban form and development′,′Land use/land development′and′environment/ecology/biology′.Conclusions are made with respect to the basic paradigm of research on urban sprawl.The multi-disciplinary research into urban sprawl are expected to be more diversified and integrated.

Extraction of Metals from Boiler Slag by Sintering

A new method of recycling aluminum and iron in boiler slag derived from plants that use coal as fuel was presented. The new method can integrate efficient extraction and reuse of the leached pellets together. An elemental analysis of aqueous solutions leached by sulfuric acid was conducted by the EDTA-Na2-ZnCl2 titration method, and the components and microstructures of the samples were examined by means of XRF, XRD and SEM. An aluminum extraction efficiency of 86.50% was achieved when the sintered pellets were leached using 4 mol·L-1 H2SO4 with solid/liquid ratio(m/V) of 1∶5 at 80 ℃ for 24 h. An iron extraction efficiency of 94.60% was achieved under the same condition for the maximum extraction efficiency of Al. The extraction efficiency of Al and Fe increased with temperature, leaching time and acidity. The concentration of alumina and iron hydroxide in the final product was determined to be 99.12% and 92.20% respectively. This product of alumina would be used directly for the production of metallic aluminum.

Public Participation Applied to the Environmental Planning

This paper focuses on the public participation in environmental planning. After the decade for inaccessible information related to the decision taken, actually, the program of public participation is the reference of all the decision making process. However, there are some factors that limit this process, such as poverty, illiteracy, ignorance and often the social inequality. Therefore, this study focuses first on the benefits of public participation in environmental planning, then the involvement of the local population, and finally the decision making access using a case study of Madagascar.

Urban Residential Land Value Analysis： Case Danyang, China

The research attempts to find out how the location of the CBD(central business district), the dis- tance to the main roads, the distribution of the public facilities, and the urban land-use pattern influence the urban residential land value variations. The study begins by identifying the influences into two categories: general circumstance and micro/neighboring circumstances. Benchmark price and market land value are tested to be the results influenced by general circumstance and both the influential range and the influential force of individual land-use are investigated and compared. At last explicit case comparisons are also taken for testing the result. The finding of the research is not only useful for understanding the spatial patterns of land values, but also beneficial for the policy-makers concerning land administration and urban planning.