Rural Destination revitalization in Shennongjia Forestry District: A Tourism Poverty Alleviation Perspective

Tourism development is an important way to eliminate poverty. Existing research in this area has been mostly based on western experiences; In this context, there is a lack of research on how to promote rural revitalization through tourism, especially in these poverty-stricken areas. This study fills this research gap by selecting and evaluating the developing process of Shennongjia Forestry District in China. Tourism is considered a way to mitigate poverty in the region, and make a great effort and ultimately revive the economy and culture of the region. Shennongjia Forestry District illustrates the importance of initial conditions and how the government attaches great importance to the development of the region and poverty alleviation policies can help mitigate shortfalls in those initial conditions. We summarize many successful practices in Shennongjia Forestry District in different phases, especially the application of e-commerce in tourism poverty alleviation, and concluded that by addressing the needs of tourists and providing proper products, and a number of poverty alleviation measures have really worked. Study results also showed that the development of tourism has driven the development of other industries, and the construction of government support network has indeed had a profound impact on poverty alleviation. This requires the participation of local communities to jointly advance tourism developmen

Bibliometric analysis on the research of offshore wind power based on web of science

As renewable energy expands rapidly in installed capacity and in built-over area, constructors and researchers are shifting their sights from the lands to the seas. Offshore wind power (OWP), or offshore wind farm, is a typical source of the renewable energy constructed on the offshore islands or in the oceans. Since the installed capacity of OWP has become booming since 2000, its relevant researches also grow substantially. The objective of this paper is to quantify the research works of OWP and to analyze their focuses, main producers and high impact literature using bibliometric method, where the OWP-related core literature in recent 40 years are sorted out and a visualized analysis closely concerned terms, contributors on national/regional basis, and highly cited articles. The results show that researchers have been largely followed on the grid-connection operations, the frameworks and the ambient environment change of offshore wind power. Moreover, the UK has taken the leading position on the study of OWP at present

A Knowledge Map Study of an Application of a Smart Land Planning Free-Trade Zone and China’s Contribution

The use of a free-trade zone (FTZ) has emerged as a smart land tool in increasing trading, attracting foreign investment, attempting financial openness and conducting other pilot economic reforms, which adds higher requirements for smart spatial planning, smart industry planning and smart management planning. However, no systematic analysis has been performed, making it difficult to provide deeper insights into FTZs. Thus, this study conducted bibliometric and visual analysis to identify the research status, new theories or practices, and potential future directions of FTZs based on 953 publications from the Web of Science Core Collection. The results show that there is a marked rise in the number of FTZ studies since 2013, which is the same year China authorized the first FTZ in Shanghai. China and the United States of America have played a leading role in FTZ research. Finally, the increasing trend in FTZ utilization will remain sizeable during its deepening development. The findings may contribute to a better understanding of FTZs and make some references to smart land-use planning experience and practices around the globe

Photovoltaic power forecasting using total sky imager

Fluctuation and intermittent are existed in photovoltaic (PV) power generation. Massive PV grid-connection may bring adverse effect to the running of power system. The forecast of output power of the PV power plant, will balance the dispatch of the conventional energy (thermal power, hydropower, etc) and the photovoltaic power, thereby ensures the power quality. Irradiance, the main factor that affects the output power of PV power generation, leads to the fluctuation of the output power due to its sudden change, and brings huge difficulty to the PV power prediction. The traditional forecasting method, which is largely based on physical and statistical models, may bring about the lag of the prediction results. Thus it is unable to provide accurate prediction results continuously. Relevant researches have indicated that the main reason for the sudden change of irradiance is the cloud coverage against the sunlight. The prediction of cloud coverage above the solar panel can be achieved. This is done by all-day sky observation and image acquisition using a ground-based remote sensing cloud detection equipment. Through the image analysis technique, it is possible to extract the feature of the clouds’ future movement. One meteorological instrument, Total Sky ImagerTM, is designed to capture the cloud coverage images. Once the images acquired, they can be used for correcting the irradiance data. Then the corrected data may be input to train a specialized artificial neural network (ANN) model. When the input data accumulated to a certain amount, the well-trained model can be applied in the forecast of the solar power output.Bachelor of Engineerin

Processing sky images collected from sky camera

Fluctuating and intermittent irradiance interrupts the photovoltaic (PV) power generation. Massive PV grid-connection may bring about the stability problem to running of the power system. The forecast of output power of a PV plant can balance the dispatch of conventional energy (thermal power, hydropower, etc.) and photovoltaic power, and ensure the power supply quality. Irradiance, as the main factor affects the output power of PV power generation. This will lead to the fluctuation of the output power- due to its volatility and mutability, which brings huge difficulty to the PV power prediction. The traditional forecasting method, which is largely based on physical and statistical models, will bring about the lag to the prediction results. Thus it is unable to provide accurate prediction results continuously. Relevant research results have indicated that the primary cause of the sudden change of irradiance is the clouds’ coverage against the sunlight. The prediction of cloud coverage above the solar panel can be achieved as follows: proceed with all-day automatic observation and image acquisition by using ground-based remote sensing cloud detection equipment, then using image processing technique to extract the feature of the clouds’ future movement. The Total Sky Imager™ is designed to capture the cloud coverage data. And a mechanism aiming at parameterization the cloud image serves the purpose. Since the cloud images are captured far from the ground-based camera, the resolution is low and the noisy points are inevitable. This requires elaborate image processing techniques to eliminate the interference factors, making the quantized irradiation and coverage data more valuable.Master of Science (Power Engineering

A Switch on Electronic Commerce Mobile Payment: From Traditional Queuing to Elastic Request as a Payment Service Based on the Edge Computing Model

The most common consumption payment problems are time delay, efficiency loss and poor experience caused by Queuing service congestion. This paper claims that a secure and highly efficient online mobile payment protocol is necessary. According to the special requirements of massive payment requests, high elasticity, high concurrency, high risk and instant response in mobile e-commerce, this paper propose an appropriate model for the application requirements of the service pattern for edge computing model-computing is service pattern, and the task model, computing model and service model provided by this pattern are abstracted. Finally, through LoadRunner load testing simulate request as a payment service model. Simulation results show that the construction of e-commerce retail payment network queuing model and mobile security payment protocol can solve the conversation of payment queuing efficiency and reduce waste of resources, and customers can enjoy safety payment experience

Impact of Collaborative Agglomeration of Manufacturing and Producer Services on Air Quality: Evidence from the Emission Reduction of PM_2.5, NO_x and SO₂ in China

Industrial agglomeration is a major source of regional economic development and the main pattern enterprises employ after having developed to a certain stage. Industrial agglomeration also affects the emissions of air pollutants in production. Based on provincial panel data for China from 2006 to 2019, this paper introduces the full generalized least squares (FGLS) panel econometrics model. By considering spatial correlation, the potential endogenous problem has been controlled using the instrumental variable and the effects of the co-agglomeration of manufacturing and producer services on three major air pollutants, i.e., SO2, PM2.5, and NOx, have been empirically estimated. The empirical results show that: (1) The agglomeration of manufacturing increases the emission of PM2.5 in the air, while the agglomeration of producer services and the co-agglomeration of manufacturing and producer services reduce it. Moran correlation index test showed that SO2 and NOx had no significant spatial correlation. (2) The agglomeration of manufacturing, the agglomeration of producer services, and co-agglomeration exert the most significant effects on PM2.5 in the air in central and western China. This is probably because of the availability of basic natural resources in these areas. (3) The energy consumption structure mediates the effect of the agglomeration of manufacturing on PM2.5, and human capital mediates the effect of the agglomeration of producer services on PM2.5 emissions. Based on the results, policy suggestions to improve the atmospheric environment during the process of industrial agglomeration are proposed