2ND INTERNATIONAL CONFERENCE ON GREEN ENERGY AND SUSTAINABLE DEVELOPMENT (GESD 2019)最新文献

{"title":"Studies on influencing factors of heterotrophic nitrifying bacteria treating black and odorous water bodies","authors":"Wei Wei, Mengyan Liu, Wenjun Zhang, Y. Zhao, Xiaoying Guo, Q. Cui, Junshe Huang, Xiaohan Yao","doi":"10.1063/1.5116511","DOIUrl":"https://doi.org/10.1063/1.5116511","url":null,"abstract":"In order to effectively solve the problem of high concentration of COD and ammonia nitrogen in black and odorous water, a heterotrophic nitrifying bacterium A-2 was screened out, which can simultaneously remove ammonia nitrogen and organic pollutants in water. The removal efficiency of the bacterium A-2 to organic pollutants and ammonia nitrogen in water and its influencing factors were investigated. The results showed that the removal rates of COD and ammonia nitrogen by strain A-2 were 89.1% and 53.2% respectively, and environmental factors such as pH value, inoculation amount, temperature and organic matter concentration could affect the removal efficiency of organic pollutants by strain A-2. When pH value was 8, inoculation amount was 2% and temperature was 27 ℃, strain A-2 could remove C from water. The removal rate of COD can reach more than 80%.In order to effectively solve the problem of high concentration of COD and ammonia nitrogen in black and odorous water, a heterotrophic nitrifying bacterium A-2 was screened out, which can simultaneously remove ammonia nitrogen and organic pollutants in water. The removal efficiency of the bacterium A-2 to organic pollutants and ammonia nitrogen in water and its influencing factors were investigated. The results showed that the removal rates of COD and ammonia nitrogen by strain A-2 were 89.1% and 53.2% respectively, and environmental factors such as pH value, inoculation amount, temperature and organic matter concentration could affect the removal efficiency of organic pollutants by strain A-2. When pH value was 8, inoculation amount was 2% and temperature was 27 ℃, strain A-2 could remove C from water. The removal rate of COD can reach more than 80%.","PeriodicalId":266722,"journal":{"name":"2ND INTERNATIONAL CONFERENCE ON GREEN ENERGY AND SUSTAINABLE DEVELOPMENT (GESD 2019)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116663980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research on new civil engineering materials","authors":"Xuesong Zhang, Peng Sun","doi":"10.1063/1.5116486","DOIUrl":"https://doi.org/10.1063/1.5116486","url":null,"abstract":"With the acceleration of urbanization in China, people put forward higher requirements for civil engineering building materials. This has also become an important part of the current research of relevant scholars. The development and application of new materials have gradually become an important part of the development of construction engineering. Civil engineering projects require a high degree of construction coordination, and are vulnerable to external factors, so the construction is comprehensive. Therefore, more and more attention has been paid to the construction materials used in civil engineering in various fields of the country and society. In this paper, combined with the characteristics of civil engineering construction, new civil engineering materials are studied and analyzed in depth, hoping to provide reference for relevant personnel.With the acceleration of urbanization in China, people put forward higher requirements for civil engineering building materials. This has also become an important part of the current research of relevant scholars. The development and application of new materials have gradually become an important part of the development of construction engineering. Civil engineering projects require a high degree of construction coordination, and are vulnerable to external factors, so the construction is comprehensive. Therefore, more and more attention has been paid to the construction materials used in civil engineering in various fields of the country and society. In this paper, combined with the characteristics of civil engineering construction, new civil engineering materials are studied and analyzed in depth, hoping to provide reference for relevant personnel.","PeriodicalId":266722,"journal":{"name":"2ND INTERNATIONAL CONFERENCE ON GREEN ENERGY AND SUSTAINABLE DEVELOPMENT (GESD 2019)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116792291","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Solar power generation technology and its development prospect","authors":"D. Ma, Yi Pan, Shuangchun Yang","doi":"10.1063/1.5116455","DOIUrl":"https://doi.org/10.1063/1.5116455","url":null,"abstract":"As an important part of a new type of renewable energy, solar power generation has a well-developed prospect and is valued by all the countries in the world. The research status and future development arrangement of solar power generation technology in various countries around the world are investigated. The principles, applications, advantages and disadvantages of two common solar power generation technologies, photovoltaic power generation and photothermal generation are introduced. In order to provide reference for the related research.As an important part of a new type of renewable energy, solar power generation has a well-developed prospect and is valued by all the countries in the world. The research status and future development arrangement of solar power generation technology in various countries around the world are investigated. The principles, applications, advantages and disadvantages of two common solar power generation technologies, photovoltaic power generation and photothermal generation are introduced. In order to provide reference for the related research.","PeriodicalId":266722,"journal":{"name":"2ND INTERNATIONAL CONFERENCE ON GREEN ENERGY AND SUSTAINABLE DEVELOPMENT (GESD 2019)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125183108","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"National fragility in climate background","authors":"Jianle Ma, Jinfang Wang","doi":"10.1063/1.5116474","DOIUrl":"https://doi.org/10.1063/1.5116474","url":null,"abstract":"The climate Change has affected humans life negatively a lot. To solve this problem, we proposed a model to assess the fragility of a country,and offered solutions to reduce the fragility. We find out 24 measuring national fragility index related to influencing factors from the literature. In them, eight factors indicators, 5 criterion layer index, a target layer index is the most representative determined by the principal component analysis (PCA). And they constitute the national fragility assessment system. Furthermore, we use analytic hierarchy process (AHP) to determine the weight of the criterion layer. The public service level, technical capacity, resource supply capacity, population pressure and social equity make up the national fragility assessment system. The final index is calculated by the comprehensive exponential weighted sum method. the model shows that adaptive and mitigation interventions can be adopted to slow the process of fragility. We use the logistic growth model to predict the effect of intervention.","PeriodicalId":266722,"journal":{"name":"2ND INTERNATIONAL CONFERENCE ON GREEN ENERGY AND SUSTAINABLE DEVELOPMENT (GESD 2019)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125680540","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Road detection research based on deep learning","authors":"Shiyu Gu, Yufeng Li","doi":"10.1063/1.5116500","DOIUrl":"https://doi.org/10.1063/1.5116500","url":null,"abstract":"In order to detect a variable number of lanes, a lane detection method is applied to convert the lane detection problem into an instance segmentation problem, so that each lane line forms an instance for end-to-end training. Unlike existing methods that rely on fixed and pre-defined perspective transformation matrices, Before dividing the lane line for fitting the lane, train an image-based network to generate perspective matrix coefficients to solve the influence of road plane variation. Experiments show that the method has a frame rate of 50fps, can handle a variable number of lanes and deal with lane changes, and has strong robustness.","PeriodicalId":266722,"journal":{"name":"2ND INTERNATIONAL CONFERENCE ON GREEN ENERGY AND SUSTAINABLE DEVELOPMENT (GESD 2019)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123642732","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Determination of well pattern density in the later stage of water flooding oilfield development","authors":"Jiale Guo","doi":"10.1063/1.5116447","DOIUrl":"https://doi.org/10.1063/1.5116447","url":null,"abstract":"The choice of well pattern system is the core problem of oilfield development and design, and it is an important guarantee for the effective use of oil reservoirs. According to the geological characteristics of the oilfield, the selection principle of well pattern system, the relationship between well pattern density and water injection control, well pattern density and recovery factor, and the relationship between economic limit well density and well pattern density are described, and a reasonably well pattern is adopted. density. The selection principle of the oilfield development well pattern system was put forward, and the reasonably well spacing density and the effective driving distance of the oilfield were determined.The choice of well pattern system is the core problem of oilfield development and design, and it is an important guarantee for the effective use of oil reservoirs. According to the geological characteristics of the oilfield, the selection principle of well pattern system, the relationship between well pattern density and water injection control, well pattern density and recovery factor, and the relationship between economic limit well density and well pattern density are described, and a reasonably well pattern is adopted. density. The selection principle of the oilfield development well pattern system was put forward, and the reasonably well spacing density and the effective driving distance of the oilfield were determined.","PeriodicalId":266722,"journal":{"name":"2ND INTERNATIONAL CONFERENCE ON GREEN ENERGY AND SUSTAINABLE DEVELOPMENT (GESD 2019)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134284285","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identifying key nodes in the power system considering node properties","authors":"Changchao Li, Zhongjian Kang, Hongguo Yu, Kihong Ri","doi":"10.1063/1.5116441","DOIUrl":"https://doi.org/10.1063/1.5116441","url":null,"abstract":"Identifying the key nodes is very important to guarantee the safe and stable operation of power system. This paper proposes a method to identify the key nodes based on the sensitivity and improved PageRank algorithm,. Firstly, in order to make the identification method adapt to the power system, the reactive power sensibility to voltage and active power sensibility to phase angle are redefined and used to improve PageRank algorithm. The link matrix and network topology of power network are set up by the definition of sensibility criterion. Secondly, in order to accurately assess the importance of nodes, the influence of power communication system on power grid is considered when the importance of nodes are evaluated. At the same time, the network topology and link matrix are corrected. The derived network and the network expansion matrix are defined. Finally, the correctness of the method is verified by the simulation of IEEE30 bus system.Identifying the key nodes is very important to guarantee the safe and stable operation of power system. This paper proposes a method to identify the key nodes based on the sensitivity and improved PageRank algorithm,. Firstly, in order to make the identification method adapt to the power system, the reactive power sensibility to voltage and active power sensibility to phase angle are redefined and used to improve PageRank algorithm. The link matrix and network topology of power network are set up by the definition of sensibility criterion. Secondly, in order to accurately assess the importance of nodes, the influence of power communication system on power grid is considered when the importance of nodes are evaluated. At the same time, the network topology and link matrix are corrected. The derived network and the network expansion matrix are defined. Finally, the correctness of the method is verified by the simulation of IEEE30 bus system.","PeriodicalId":266722,"journal":{"name":"2ND INTERNATIONAL CONFERENCE ON GREEN ENERGY AND SUSTAINABLE DEVELOPMENT (GESD 2019)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121061553","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research on optimization method of subtle reservoir according to sand well","authors":"Yuanqing Zhang","doi":"10.1063/1.5116494","DOIUrl":"https://doi.org/10.1063/1.5116494","url":null,"abstract":"In this paper, in order to solve the problem of difficult development of the hidden reservoirs in the remaining unutilized reserves in Daqing and the low rate of production capacity, the research on individualized development and design has been carried out, and the high-efficiency development method of sanding wells has been proposed. On the basis of layer and fine oil and water identification, while ensuring the maximization of economic benefits and taking into account the demand of oilfield for production, the design and optimization of three technical problems of well type, well Pattern and development mode are mainly guided to guide the unusable hard-to-recover reserves in Daqing’s excellent construction.","PeriodicalId":266722,"journal":{"name":"2ND INTERNATIONAL CONFERENCE ON GREEN ENERGY AND SUSTAINABLE DEVELOPMENT (GESD 2019)","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127408992","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessment and prediction of the fragility of a country and the influence of climate change","authors":"Zhen Peng, Ziyang Men, Xiaofeng Wu","doi":"10.1063/1.5116443","DOIUrl":"https://doi.org/10.1063/1.5116443","url":null,"abstract":"Nowadays, Climate change plays an increasingly negative role in social and governmental structure. Most effects of climate change push countries to indulge in a fragile state where the government cannot provide the essentials to people. As a result, how to measure the impact of climate change and a country’s fragility is an issue of hot discussion. To determine the fragility of a country and the influence of climate change, we put forward Evaluating Prediction Model. This model can be divided into two parts: evaluation and prediction. To quantify whether a country is in a fragile state or not, it is necessary to develop a model to give scores to each country firstly. Different from normal evaluation methods, fourteen indicators are chosen to be measurements of fragility and then we build a Scoring Model according to the method of normalization and use Entropy Weight Method to determine the detailed weights of each indicator. After the total score of every country is determined, we develop Hierarchy Model based on the combination of Percentage Grading method and Quantile Grading method, to grade the degree of fragility and determine the tipping points with the help of countries’ total score. The lower a score is, the more fragile a country is. Then Prediction Model is built to demonstrate how climate change affect the fragility of a country. For the indicators not affected by climate change in a specific country, RBF Neural Network is chosen to do prediction. To verify whether our model meets the real situation or not, Chad, one of the top 10 fragile countries as measured by FFP is chosen by us to show how climate change increase the fragility of this country. The result shows that the climate change influences most over this period. Finally, following that we give three detailed intervention for government to mitigate the risk of climate change and estimate the cost that the government should pay to carry out these interventions based on our Evaluating Prediction Model. Idea of this paper comes from 2018ICM/MCM, the discussion regarding country fragility.Nowadays, Climate change plays an increasingly negative role in social and governmental structure. Most effects of climate change push countries to indulge in a fragile state where the government cannot provide the essentials to people. As a result, how to measure the impact of climate change and a country’s fragility is an issue of hot discussion. To determine the fragility of a country and the influence of climate change, we put forward Evaluating Prediction Model. This model can be divided into two parts: evaluation and prediction. To quantify whether a country is in a fragile state or not, it is necessary to develop a model to give scores to each country firstly. Different from normal evaluation methods, fourteen indicators are chosen to be measurements of fragility and then we build a Scoring Model according to the method of normalization and use Entropy Weight Method to determine the detail","PeriodicalId":266722,"journal":{"name":"2ND INTERNATIONAL CONFERENCE ON GREEN ENERGY AND SUSTAINABLE DEVELOPMENT (GESD 2019)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128579173","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Simulation of the solar cell production amorphous silicon thin-film solar cell production system","authors":"X. Dong, R. Ma","doi":"10.1063/1.5116490","DOIUrl":"https://doi.org/10.1063/1.5116490","url":null,"abstract":"By considering a-Si thin-film manufacturing system as the object of research, this study converted the production system design into a simulation model on the computer based on the object-oriented modeling theory. On the basis of the actual production data, production bottlenecks were identified and used to improve the design of the workshop production system. Lastly, the Flexsim simulation platform was adopted to simulate the established model so as to acquire the real-time dynamic information of the production line performance. Thus, the improvement of the relevant indicators can be verified to provide a reference for the optimization of the production system.","PeriodicalId":266722,"journal":{"name":"2ND INTERNATIONAL CONFERENCE ON GREEN ENERGY AND SUSTAINABLE DEVELOPMENT (GESD 2019)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124583836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}