bluuebunny/crossref_metadata_2025_split huggingface dataset:
Control of operating modes of an electroadsorption apparatus with a fixed layer of adsorbent
Authors: Merentsov N A , Persidskiy A V , Topilin M V , Golovanchikov A B 
Published: November 2020

Abstract
This paper provides a new scheme and algorithm of automated control of modes of operation of electroadsorption mass transfer apparatuses are presented on the example of a continuously operating electroadsorber with a fixed adsorbent layer. The required values of technological parameters and ranges of their regulation were obtained during the calibration of technological parameters at the stage of commissioning of the electric adsorption mass transfer equipment, also in an automated mode. A detailed description and algorithm of the stages of calibration of technological parameters of electroadsorption apparatuses with a fixed adsorbent layer are given in the second part of this work (Calibration of technological parameters of an electroadsorption apparatus with a fixed layer of adsorbent). The principle of automated control consists in self-adaptation of the mass exchange system to optimal productiveness, due to the imposition of adjustable electric fields of a given intensity on the adsorption processes and recognition of the most effective hydromechanical modes flow about of the surfaces of the adsorbent granules with a continuous gas phase flow using the turbulization index, that is, assessing the contribution of the inertial component of the structure filtration flow of a continuous gas phase flow through the adsorbent layer. A self-adaptive automated control system for electroadsorption processes will allow achieving the highest levels of gas emissions purification, with optimal energy costs for mass transfer processes, and will provide an opportunity to smooth out technological, large-scale and other factors inherent in specific mass transfer processes and apparatus designs. The most important feature of the developed self-adaptive control system is multi-functionality and a wide range of variation of operating modes from energy-saving optimal modes to emergency capture modes in cases of emergency emissions and unexpected bursts of concentrations of harmful captured substances from the continuous gas phase flow.
Simulation of combustion of a flat layer of methane hydrate
Authors: Davletshina M R , Stolpovsky M V , Gimaltdinov I K 
Published: November 2020

Abstract
A mathematical model of the combustion of a flat layer of methane hydrate is presented, which includes the continuity equations for the gas mixture, the conservation of the mass of each of its components, as well as the heat balance in the gas and gas hydrate layers. In addition, the system is supplemented by the conditions following the laws of conservation of mass and heat at the boundary of the “gas hydrate - gas” phase transition. The distributions of the concentration fields of the gas mixture, as well as the temperature fields in the gas hydrate and gas, are plotted.
Effects of abdomen undulation in energy consumption and stability for monarch butterfly
Authors: Tejaswi K C , Sridhar Madhu K , Kang Chang-kwon , Lee Taeyoung 
Published: November 2020

Abstract
The flight of monarch butterflies is characterized by a relatively large wing, flapping at a relatively low frequency coupled with abdomen undulation. This paper presents the dynamics of a flapping wing flyer that can be applied to the coupled motion of the wing, body, and abdomen at the monarch butterfly scale, which is formulated directly on the configuration manifold. The resulting thorax and abdomen motion as well as the resultant forces are consistent with the flight of a live monarch butterfly. Based on these, beneficial effects of the abdomen undulation in the flight of monarch butterflies are illustrated. For both hover and forward-climbing trajectories, the abdomen undulation results in a reduction of the energy and power consumption. Furthermore, the Floquet stability analysis shows that the periodic orbits associated with both flight modes are stable. In particular, the abdomen undulation improves the stability. Compared to the dynamics of hawkmoth, bumblebee, and fruitfly models, the monarch possesses superior stability properties.
Sensitivity of estimated NO2-attributable pediatric asthma incidence to grid resolution and urbanicity
Authors: Mohegh Arash , Goldberg Daniel , Achakulwisut Pattanun , Anenberg Susan C 
Published: November 2020

Abstract
Nitrogen dioxide (NO2) is a major urban air pollutant and is associated with new onset asthma among children worldwide. Since NO2 concentrations are spatially heterogeneous and correlated with population, the spatial resolution of concentration estimates and disease burden calculations could strongly influence the magnitude and spatial distribution of estimated NO2-attributable pediatric asthma (PA) cases. Here, we investigate the effect of spatial resolution of exposure and population data on estimated NO2 attributable PA incidence. We use epidemiologically derived health impact functions to estimate NO2-attributable asthma incidence for the U.S. and India, two countries with different degrees of urbanicity, using population and NO2 concentration estimates at 100 m resolution and aggregated to coarser spatial resolutions: 500 m, 1 km, 10 km, and 100 km. Estimated NO2-attributable PA burdens differ by <1% for resolutions of 100 m up to 1 km for both countries. However, performing the analysis at 10 km and 100 km results in 5% and 17% fewer new asthma cases among children in India and 6% and 32% fewer in the U.S., respectively. We performed a similar analysis for the 13 000 urban areas and present the results for the 500 most populated cities at 1 km and 10 km resolution, finding that the coarser resolution leads to lower estimated NO2-attributable asthma incidence in nearly all cities, especially for cities with smaller land areas. We conclude that 1 km spatial resolution is a good balance between accuracy and computational efficiency in estimating NO2-attributable asthma burdens at national and urban levels, and that coarser resolutions may result in underestimates.
Hydropeaked rivers need attention
Authors: Batalla R J , Gibbins C N , Alcázar J , Brasington J , Buendia C , Garcia C , Llena M , López R , Palau A , Rennie C , Wheaton J M , Vericat D 
Published: November 2020

Abstract
Hydropower is considered a renewable form of energy production, but generating electricity from rivers is not always environmentally benign. The global demand for renewables is increasing rapidly as fossil fuels are gradually phased out, so rivers will continue to be subjected to the pressures imposed by hydropower for decades to come. Finding ways of operating hydropower plants that limit impacts on downstream river ecosystems is therefore a pressing global concern. Usually, these plants cause marked and rapid fluctuations in flow in downstream river reaches, termed ‘hydropeaking’. Hydropeaks result in a variety of ecological changes in the dynamic mountain rivers they typically affect; declines in fish and insect populations are evident, especially in reaches immediately downstream from the plant. While these changes are often acute and readily apparent, the underlying causal mechanisms remain unclear. We argue here that riverbed sediments are a critical but neglected causal link between hydropeaking flow regimes and ecological changes. We outline how a variety of tools from different branches of river science can now be brought together to understand precisely why hydropeaking alters sediment dynamics; these tools provide a mechanistic explanation for changes in bed sedimentary conditions and channel form across multiple scales and, consequently, a better understanding of ecological changes. By allowing us to simulate the effects of flow fluctuations on sediment dynamics and channel form, these tools also allow us to develop ways of releasing water from hydropeaking dams that limit impacts on aquatic habitat and species.
Radiation protection risk control method of nuclear power project based on sequence optimization
Authors: Fu Chunliang , Zhou Jun , Lin Jiangjing , Gong Linhua 
Published: November 2020

Abstract
In order to protect the construction safety of nuclear power project and improve the radiation protection effect of nuclear power project, this paper introduces the sequence optimization algorithm to study the risk control method of nuclear power project radiation protection. The radiation risk level of nuclear power project is divided by sequential optimization algorithm, and the control structure of radiation protection risk of nuclear power project is optimized. In this paper, the radiation protection risk detection procedure is used to improve the radiation protection risk detection process of nuclear power engineering, so as to enhance the control effect of radiation protection risk of nuclear power engineering. In order to verify the protective effect of this method, a comparative experiment was designed. The results show that the radiation protection risk control method based on sequence optimization has high control accuracy in the practical application process, which fully meets the research requirements.
Numerical simulation study on support design of deep roadway
Authors: Shan Renliang , Li Minzu , Liu Weijun , Guo Yifei , Liu Jian 
Published: November 2020

Abstract
In order to solve the problem of large deformation in deep roadway mining, the stress and deformation of surrounding rock after roadway excavation and support are studied by numerical simulation. The results show that the displacement of roof and two sides is large after the roadwayexcavation. After adopting bolt support technology, the displacement of the roof and two sides of the roadway decreases obviously. The displacement decreases with the decrease of bolt spacing, the range of plastic zone decreases greatly, and the overall strength of the surrounding rock of the roadway increases obviously. The research results can provide reference for other deep roadway support.
A Study on the Technology Diffusion of China’s Solar Photovoltaic Based on Bass and Generalized Bass Model
Authors: Zhang Xiangcheng , Li Hongxia , Liu Qingbiao , Tan Xu 
Published: November 2020

Abstract
China’s solar photovoltaic (PV) power generation has been developing rapidly and is in a priority position in the national energy strategy. In order to effectively coordinate the development scale, speed of solar PV and economic development, the Chinese government has constantly issued various solar PV development plans. However, as a new renewable energy generation technology, solar PV is still making technological innovation to achieve technological breakthroughs. In addition, external factors, such as resource potential and power grid consumption capacity, will influence its development. It is very important to explore the development path of solar PV in China and analyze the action mechanism of each influencing factor on the development path of solar PV. Based on the technology diffusion model, this study analyzes and predicts the technology diffusion trend of solar PV generation in China. The research finds: that 1) cost is still a big obstacle facing the large-scale development of PV generation at present; that 2) national economic operation, policy incentive intensity and other factors have limited influence on the development of solar PV generation; that 3) technological innovation and power grid absorption capacity are key factors affecting the development path of solar PV.
Fast Reconfiguration of Distribution Network Based on Deep Reinforcement Learning Algorithm
Authors: Zhao Bincheng , Han Xueshan , Ma Yiran , Li Zhiqi 
Published: November 2020

Abstract
In the context of large-scale grid connection of distributed energy, during the reconfiguration of the distribution network, the availability of distributed energy and the load of the distribution system may be inconsistent with the prediction due to the influence of environmental factors and human factors. If the distribution network reconfiguration is still carried out according to the expected offline optimization scheme, there may be reliability problems of voltage over-limits and economic problems of increased network loss in the actual reconfiguration process. Therefore, the reconfiguration plan formulated in advance can give some guidance to the dispatch operator, but it may not be directly used in the actual reconfiguration process. This paper proposes a deep reinforcement learning approach to solving the electric distribution network reconfiguration. Based on the uncertainty of distributed energy output and network load in the distribution network, the online algorithm of distribution network reconfiguration realizes the second-level solution of distribution network reconfiguration, through day-ahead training of the neural network.
Operation Strategy Optimization of Energy Storage Power Station Based on multi-Station Integration
Authors: Xu Wenbo , Li Qiang , Chen Jing , Yuan Fusheng , Bai Zhonghua , Yu Zongze , Miao Changhai , Ma Hongbo 
Published: November 2020

Abstract
In the multi-station integration scenario, energy storage power stations need to be used efficiently to improve the economics of the project. In this paper, the life model of the energy storage power station, the load model of the edge data center and charging station, and the energy storage transaction model are constructed. Using the two-layer optimization method and the particle swarm optimization algorithm, it is proposed that the energy storage power station play a role in the integration of multiple stations Optimal operation strategy algorithm in a complex scenario with multiple functions. It is concluded that in a continuous period group with the same electricity price, the energy storage power station is charged and discharged at the same rate as the best operation strategy; the optimal operation strategy is determined by various factors such as time-of-use electricity price, battery life characteristics, and load characteristics of multiple stations in adjacent time groups.
A new energy management integrated service system with four meters in one network
Authors: Song Xinxin , Huang Erdong , Xu Yuanyuan 
Published: November 2020

Abstract
With the development of electron and computer, automatic meter reading system (AMRS) has a possibility to be put into reality. Especially for the well-to-do uptown, the construct department of China has demanded to realize integrate management of water meter, kilowatt-hour meter and gas meter step by step, gradually to realize automatic meter reading, measuring and charging with computer. This paper aims at the existing problems, such as independent charging for the above meters, bad real- timing measuring data, low efficiency, inaccuracy. Thus, an automatic meter reading system of water electricity, gas, and calorie is designed. The strong point of this system is: low cost, precise measuring, stable working, and easy to install and maintain. AMRS realized the remote meter reading of water, electricity, gas and heat. It solved the problems of independent charging, manual data processing, and complicated charging. It will boost the automatic meter reading efficiently and has an enormous application prospect.
Application Test and Analysis of 2m/8m optical satellite in coastal zone survey
Authors: Li Wenjuan , Pang Jumei 
Published: November 2020

Abstract
The 2-meter/8meter optical satellite (GF-1 B, C, D) constellation was successfully launched on March 31, 2018. The constellation consists of three operational satellites with the same performance and status. The design life of the satellite is 6 years;The panchromatic spatial resolution is 2m and the multispectral resolution was better than 8 m; single star imaging width is greater than 60 km The three satellites will have a global coverage of 15 days and a revisit capacity of two days. In this paper, GF-1C satellite was used to investigate the ecological and geological environmental problems in the silty coastal zone in northern Jiangsu province, and we contrast and analysis the ability of ecological and geological environmental investigations of GF1C satellite in the coastal water boundary line, coastal type, human engineering activities and so on[1] [3].
Application Research on Pulse Continuous Discharge-type Interference Bed Separator
Authors: Liu Xin 
Published: November 2020

Abstract
In view of the problems of the traditional interference bed separator, such as hole plugging, wall material accumulation and discontinuity of tailings discharge, the mechanical structure of the separator is improved and optimized, and a forced discharge jammer is added, rotating at a constant speed in a flow field at a low speed. According to the laboratory model, the flow field distribution in the main tank of the separator is numerically analyzed to determine the rotational speed and range of the forced discharge jammer, the experiments of slime screening, disturbing bed separation and coal slime floating and sinking are carried out on the 1 / 3 coking coarse coal slime. The analysis and experimental results show that the possible deviation of Pulse Continuous Discharge-type Interference Bed Separator on 1 ∼ 0.25mm narrow-grained coarse slime is 0.146, indicating that the separation effect is better.
Study on the tufa Thickness and Formation Age of Dyke at Sparkling Lake, Jiuzhaigou Scenic Area, Sichuan Province
Authors: Cao Jun , Song Wei , Du Jie , Liu Ming , Yuan Maoke , Zhuo Manta 
Published: November 2020

Abstract
Jiuzhai Valley earthquake occurred on August 8, 2017 has resulted in significant impact at Jiuzhai Valley Scenic Area. Some geological landscapes were damaged to different degrees, and the most destroyed landscape at Jiuzhai Valley was the failure of Sparkling Lake’s Dyke, with the shimmering scenery of Sparkling Lake being wiped from the map. Although the earthquake led to the disappear of landscape, it also provides an unusual opportunity to study the formation and evolution of the Sparkling Lake’s Dyke. The author has the honor to participate in the study on the post-earthquake geological changes and reconstruction countermeasures of Jiuzhai Valley World Natural Heritage Site. After conducting comprehensive study on the Sparkling Lake’s Dyke, such as large-scale geological survey, geological profile survey, dronestagram, implementation of minor-caliber backpack drill and formation age, the author finds that the tufa thickness of the Sparkling Lake’s Dyke is 8m-22.78m, with glacial till at the under layer, the age of tufa via carbon-14 dating method (14C) is up to 4.3ka-27ka, and the rate of deposition of tufa is 2.25mm/a-9.35mm/a. The findings that deposition sequence of the Sparkling Lake’s Dyke cannot be attributed to simple bottom-up overlaying relation and no sequential deposition for the deposition of tufa at Jiuzhai Valley area since the very beginning can serve as the complete and accurate scientific basis for ecological restoration of the Sparkling Lake’s tufa dyke.
Research Progress of Sponge City in Actual Construction Project
Authors: Tang Ming , Hou Meifang , Guo Yu 
Published: November 2020

Abstract
Sponge city has good “elasticity” in adapting to environmental changes and responding to self-heating disasters caused by rainwater. Cities can absorb water, store water, seep, and purify water when it rains, and release and use the stored water when needed. Sponge city construction needs to seriously implement the development concept of “innovation, coordination, green, openness, and sharing” in order to accelerate the construction of the sponge city, improve the city’s ability to adapt to environmental changes and respond to natural disasters. The design and planning ideas of weakening the boundary between the city and the water will become the industry trend in the future, and let the cold concrete be replaced by vibrant greenery, which will not only help the natural circulation of water in the city, but also help the environment, and realize the harmonious coexistence of human and nature. This article discusses the development status of sponge city and related measures and indicators to provide a reference for the construction of sponge city.
Function Relationship Between Minimum Fresh Air Volume and Personnel Density Meeting the Standard Value of CO2 in Working Area
Authors: Wang Chengshun , Liu Yufeng , Liu Jiaqi 
Published: November 2020

Abstract
Reasonable fresh air volume can effectively improve indoor air quality and reduce building energy consumption. In order to achieve the comfortable and energy saving operation of air conditioning and ventilation system, the standard κ-ε turbulence model combined with wall function method is used to simulate and analyze the indoor velocity field, temperature field and CO2 concentration field under different fresh air volume by simulation software. The results show that increasing fresh air volume can improve indoor ventilation efficiency and reduce CO2 concentration; and based on the CO2 concentration, the function between the minimum fresh air volume and the density of indoor personnel is fitted to meet the requirement of comfort and health in indoor working area. The function tion is y = 5.980exp(x/0.343). 3.999.
Research on the Measurement of New Urbanization Level in Anhui Province from the Green Perspective
Authors: Sheng Jia , He Xiaoyu , Qiu Yingying , Miao Chuanqi 
Published: November 2020

Abstract
With the continuous deepening of the new urbanization process, some contradictions in its development process become increasingly obvious, among which the environmental problems are particularly prominent. People’s demands for green residential towns are further raised, and the concepts of ecological city, green town and sustainable development society are put forward. In this paper, new urbanization and “green” are linked to determine the concept and connotation of green new urbanization. Under the core connotation of the green perspective, the level of new urbanization in Anhui Province is analyzed from four levels of green economy, green environment, green living and green foundation, thus promote the healthy and benign development of new urbanization and provide an opportunity to improve the mechanism of regional ecological coordinated development.
Analysis of Sunshine Temperature Field and Temperature Effect of Prestressed Concrete Beam Bridge
Authors: Zhang Liuyu , He Shufa , Zhang Guitong , Zhou Jingwen , Huang Lezhou , Wang Zhiguo 
Published: November 2020

Abstract
Temperature stress is one of the important causes of concrete structure cracking. In order to study the development law of temperature field and temperature effect of prestressed concrete beam bridge under sunshine load, taking the construction of a prestressed concrete beam bridge as an example, ADINA finite element software was used for solid simulation and compared with the measured value. The results show that the temperature curve of each point inside and outside the beam is consistent with that of the ambient temperature, but it has some hysteresis. The temperature stress distribution of the beam body calculated by using the temperature gradient in the current code is approximately the same as the measured value. The top and bottom plates are compressed, and the web plate produces large tensile stress.