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| 1 | Comprehensive Evaluation of Ski Resort Development Conditions in Northern China显示文摘China′s bid for the 2022 Winter Olympic Games will promote rapid development of domestic ski tourism. More than 10 provinces in the northern China list ski tourism as a new source of growth in the tourism industry. Formulating a scientific evaluation system is an important foundation for ski resort development. By referring to the conditions of existing international ski resorts, a comprehensive index system for evaluating ski resort development was developed based on natural factors, human factors, athletic sports, and popular ski tourism. The system was composed of one target layer, two indices, seven sub-indices and twenty-five basic indices. Based on data collected during a field investigation in 2012 and on a statistical model, the development conditions of the following ski resorts were quantified: Yabuli Ski Resort in Heilongjiang Province and Beidahu Ski Resort in Jilin Province in Northeast China, Wanlong Ski Resort in Hebei Province and Nanshan Ski Resort in Beijing in the northern China, and Silk Road International Ski Resort in Uygur Autonomous Region of Xinjiang in the northwestern China. The resulting index values of development conditions at Beidahu, Yabuli, Wanlong, Nanshan, and Silk Road International Ski Resorts were 0.304, 0.278, 0.270, 0.214, and –0.025, respectively. Various natural and human factors exert positive and negative effects on the development potential of ski resorts. The development conditions of the five ski resorts were inferior to those of first-class international resorts. Therefore, the development conditions of the five ski resorts should be improved with future construction. | LI Yu ZHAO Minyan GUO Peng ZHENG Ji LI Zehong LI Fujia SHI Yuanyuan DONG Suocheng | 2016 | Chinese Geographical Science2016，26，3： | 10 |
| 2 | Quantitative Analysis of the Coupling Coordination Degree Between Urbanization and Eco-environment in Mongolia显示文摘Mongolia is an important country in the Economic Corridor of China-Mongolia-Russia, a deep understanding of the coupling relationship between urbanization and the eco-environment in Mongolia is meaningful to achieve green development of the Belt and Road. The entropy method and coupling coordination degree model were integrated to evaluate the coupling coordination degree between urbanization and the eco-environment in Mongolia during 2000-2016. The results showed that the coupling coordination degree between urbanization and the eco-environment in Mongolia was generally at the stage of seriously unbalanced development, and that the main contributor of the urbanization and the eco-environment subsystem were demographic urbanization and eco-environment endowment, respectively. The southern part of Mongolia central zone should be paid more attention due to the lower degree of coupling coordination between urbanization and the eco-environment. To promote the healthy urbanization development in Mongolia, six-layer eco-city establishing green development pattern is proposed to provide scientific support for Mongolia. | DONG Suocheng ZHENG Ji LI Yu LI Zehong LI Fujia JIN Liang YANG Yang BILGAEVAlexey | 2019 | Chinese Geographical Science2019，29，5： | 6 |
| 3 | Investment Environment Assessment and Strategic Policy for Subjects of Federation in Russia显示文摘Russia is the largest neighboring country of China. Between the two countries, the resources and industry are complemented, the political mutual trust is at a high level, and trade cooperation has a broad prospect. Choosing the best regions and the best industries to strengthen investment in Russia has a major strategic significance in promoting ‘the Belt and Road Initiative’ and China-Mongolia-Russia Economic Corridor Construction. However, the related researches are extremely limited. The investment environment is unclear, and the investment risk is unknown, which seriously restrict the investment in Russia and the trade cooperation with Russia. Our research team carried out scientific expedition, government visits and scientific research cooperation in Russia for several years, and obtained a great number of first-hand valuable data. According to the analysis on the data and Russian regional policies, this study constructed an investment environment evaluation model(ESI-PRA model), scientific assessed the investment environment for 83 subjects of federation in Russia, in terms of economic, social, infrastructure, policy, resource and accessibility, classified 4 types of investment regions, chose 3 investment priority regions, revealed the investment priority industries, demonstrated the main investment risks, and proposed the strategic policies. The research results provide direct scientific and technological support for strategic decisions, such as investment in Russia, bilateral economic and trade cooperation, and overseas layout of Chinese-funded enterprises. Moreover, it has an important practical and strategic significance for improving overseas geo-strategic interests of China and ensuring the construction of China-Mongolia-Russia Economic Corridor. | LI Fujia LIU Qian DONG Suocheng CHENG Hao LI Yu YANG Yang TSYDYPOV Bair BILGAEVAlexey AYURZHANAEV Alexander BU Xiaoyan XIA Bing | 2019 | Chinese Geographical Science2019，29，5： | 3 |
| 4 | Measurement and Scenario Simulation of Effect of Urbanisation on Regional CO_2 Emissions Based on UEC-SD Model:A Case Study in Liaoning Province,China显示文摘Based on the logical causal relationship and taking Liaoning Province, China, which is the Chinese traditional industrial base and is in the stage of accelerated urbanisation, as a case study, this study builds the ′Urbanisation-Energy Consumption-CO2 Emissions System Dynamics(UEC-SD)′ model using a system dynamics method. The UEC-SD model is applied to analyse the effect of the urbanisation process on the regional energy structure and CO2 emissions, followed by simulation of future production and living energy consumption structure as well as the evolutionary trend of CO2 emissions of three urbanisation scenarios(low speed, intermediate speed and high speed) under the assumed boundary conditions in urban and rural areas of Liaoning Province, China. The results show that the urbanisation process can alter production and the living energy consumption structure and thereby change regional CO2 emissions. An increase in the urbanisation rate in case area will lead to regional CO2 emissions rising in the short term, but when the urbanisation rate approaches 80%, CO2 emissions will reach a peak value and then decrease. Comparison of different urbanisation rates showed that production and living energy consumption exhibit different directions of change and rules in urban and rural areas. The effect of urbanisation on CO2 emissions and energy structure is not direct, and urbanisation can increase the differences in energy and CO2 emissions between urban and rural areas caused by the industrial structure, technical level and other factors. | LI Fujia DONG Suocheng LI Shantong LI Zehong LI Yu | 2015 | Chinese Geographical Science2015，25，3： | 2 |
| 5 | Rural Landscape Types and Recreational Value Spatial Analysis of Valley Area of Loess Plateau:A Case of Hulu Watershed,Gansu Prov-ince,China显示文摘Rural landscape is a complex of natural landscape and human landscape, with various values. The recreational value of rural landscape is a kind of comprehensive benefit with economic, social and ecological, which is provided by the rural landscape as a recreational resource. Loess Plateau is located at the junction of northern and northwestern of China, with serious water and soil erosion and fragile ecological environment. Jingning County is the national poor county, belonging to Liupanshan concentrated poverty areas. Hulu Watershed in Jingning is the typical valley area of Loess Plateau. In the past few decades, Jingning facing the fragile ecology and poverty, has been focusing on apple industry, forming unique rural landscape, exploring an ecological development path, and making much progress in green industrialization and urbanization. The author, according to the apple tree's growing stages, divided the rural landscape of Hulu Watershed into 15 types and analyzed its spatial patterns. The recreational value of Hulu Watershed was evaluated at 1.8 × 10~8–3.6 × 10~8 yuan(RMB) in 2014, by Travel Cost Method and Contingent Valuation Method. The territorial differentiational features of recreational value were that the higher value landscape types concentrated in the surrounding areas of towns and central villages, and the areas along the traffic and river had more development potentiality. The main influence factors were the construction of rural landscape and the development of recreation industry. And the development paths of different landscape types were also proposed. The research conclusions can provide reference for the landscape exploration and recreation industry development in the similar underdeveloped areas in the valley area of Loess Plateau with fragile ecology and poverty. | DONG Suocheng CHENG Hao LI Yu LI Fujia WANG Zhe CHEN Feng | 2017 | Chinese Geographical Science2017，27，2： | 2 |
| 6 | Study on the Synthesis of HighQuality Nanometer Calcium Carbonate Using UltrasonicTechnology显示文摘 | Yu Fujia Wang ZeHong | 2010 | Advanced Materials Research2010，，92： | 1 |
| 7 | Deep Learning-Based Automatic Detection and Evaluation on Concrete Surface Bugholes显示文摘Concrete exterior quality is one of the important metrics in evaluating construction project quality.Among the defects affecting concrete exterior quality,bughole is one of the most common imperfections,thus detecting concrete bughole accurately is significant for improving concrete exterior quality and consequently the quality of the whole project.This paper presents a deep learning-based method for detecting concrete surface bugholes in a more objective and automatic way.The bugholes are identified in concrete surface images by Mask R-CNN.An evaluation metric is developed to indicate the scale of concrete bughole.The proposed approach can detect bugholes in an instance level automatically and output the mask of each bughole,based on which the bughole area ratio is automatically calculated and the quality grade of the concrete surfaces is assessed.For demonstration,a total of 273 raw concrete surface images taken by mobile phone cameras are collected as a dataset.The test results show that the average precision(AP)of bughole masks is 90.8%. | Fujia Wei Liyin Shen Yuanming Xiang Xingjie Zhang Yu Tang Qian Tan | 2022 | Computer Modeling in Engineering & Sciences2022，，5： | 1 |
| 8 | Phenolics and antifungal activities analysis in industrial crop Jerusalem artichoke ( Helianthus tuberosus L.) leaves显示文摘 | Fujia Chen Xiaohua Long Mengni Yu Zhaopu Liu Ling Liu Hongbo Shao | 2013 | Industrial Crops & Products2013，，： | 1 |
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