bluuebunny/crossref_metadata_2025 huggingface dataset:
GLStyleNet: exquisite style transfer combining global and local pyramid features
Authors: Wang Zhizhong , Zhao Lei , Lin Sihuan , Mo Qihang , Zhang Huiming , Xing Wei , Lu Dongming
Published: May 2020

Recent studies using deep neural networks have shown remarkable success in style transfer, especially for artistic and photo‐realistic images. However, these methods cannot solve more sophisticated problems. The approaches using global statistics fail to capture small, intricate textures and maintain correct texture scales of the artworks, and the others based on local patches are defective on global effect. To address these issues, this study presents a unified model [global and local style network (GLStyleNet)] to achieve exquisite style transfer with higher quality. Specifically, a simple yet effective perceptual loss is proposed to consider the information of global semantic‐level structure, local patch‐level style, and global channel‐level effect at the same time. This could help transfer not just large‐scale, obvious style cues but also subtle, exquisite ones, and dramatically improve the quality of style transfer. Besides, the authors introduce a novel deep pyramid feature fusion module to provide a more flexible style expression and a more efficient transfer process. This could help retain both high‐frequency pixel information and low‐frequency construct information. They demonstrate the effectiveness and superiority of their approach on numerous style transfer tasks, especially the Chinese ancient painting style transfer. Experimental results indicate that their unified approach improves image style transfer quality over previous state‐of‐the‐art methods.
Subgraph and object context‐masked network for scene graph generation
Authors: Zheng Zhenxing , Li Zhendong , An Gaoyun , Feng Songhe
Published: May 2020

Scene graph generation is to recognise objects and their semantic relationships in an image and can help computers understand visual scene. To improve relationship prediction, geometry information is essential and usually incorporated into relationship features. Existing methods use coordinates of objects to encode their spatial layout. However, in this way, they neglect the context of objects. In this study, to take full use of spatial knowledge efficiently, the authors propose a novel subgraph and object context‐masked network (SOCNet) consisting of spatial mask relation inference (SMRI) and hierarchical message passing (HMP) modules to address the scene graph generation task. In particular, to take advantage of spatial knowledge, SMRI masks partial context of object features depending on their spatial layout of objects and corresponding subgraph to facilitate their relationship recognition. To refine the features of objects and subgraphs, they also propose HMP that passes highly correlated messages from both microcosmic and macroscopic aspects through a triple‐path structure including subgraph–subgraph, object–object, and subgraph–object paths. Finally, statistical co‐occurrence probability is used to regularise relationship prediction. SOCNet integrates HMP and SMRI into a unified network, and comprehensive experiments on visual relationship detection and visual genome datasets indicate that SOCNet outperforms several state‐of‐the‐art methods on two common tasks.
Image copy‐move forgery detection using sparse recovery and keypoint matching
Authors: Hajialilu Somayeh Fatan , Azghani Masoumeh , Kazemi Neda
Published: May 2020

Copy‐move forgery (CMF) detection is one of the most practical problems in image forensics. The authenticity of the image becomes more crucial when the images are used in the criminal investigations, intelligence services, and medical documentations. In this study, the authors suggest a CMF detection algorithm. At first they they suggest to use a sparse recovery algorithm to identify the suspicious segments. To incorporate the colour information of the image segments, they propose to compare the histograms of the identified segments to detect the similar ones. The keypoints of those parts are obtained and the matched ones are located. In the last step, they suggest a morphology scheme to extract the forged region. They have evaluated the proposed method in the detection of various forged images. The simulation results reveal the forgery detection capabilities of the suggested algorithm compared to the other state‐of‐the‐art schemes. The proposed method has superiority over its counterparts in detecting the scaled forgeries. Moreover, the sparse recovery step enables the proposed algorithm to remove the genuine repeated patterns of the image, while the other CMF detection techniques wrongly consider those parts as a forgery. Furthermore, the proposed scheme is on‐average faster than the other schemes.
Improved MR image denoising via low‐ rank approximation and Laplacian‐of‐Gaussian edge detector
Authors: Qiu Xiaoqun , Chen Zhen , Adnan Saifullah , He Hongwei
Published: May 2020

The low rank approximation for MR image denoising has been recently attracting considerable attentions due to its favorable denoising performance. In spite of the great success of existing low rank approximation methods, these tend to lose the subtle edge texture when removing noise. It could degrade the image visual quality and affect the final clinical diagnosis. In this paper, a novel MR image denoising approach is proposed based on low rank approximation model and the Laplacian‐of‐Gaussian edge detector. In the proposed approach, a similarity evaluation scheme for noisy patch is employed to avoid the effect of the noise in the patch matching, and the details of the edge texture are preserved by the Laplacian‐of‐Gaussian edge detector. Experimental results show that the proposed approach is efficient and superior to some of the existing approaches in both objective criterion and visual fidelity. The proposed method can retrieve a clear MR image from the noisy one, with the detail of the edge texture, which could be very important in the clinical diagnosis.
Retracted: Gesture recognition algorithm based on multi‐scale feature fusion in RGB‐D images
Authors: Sun Ying , Weng Yaoqing , Luo Bowen , Li Gongfa , Tao Bo , Jiang Du , Chen Disi
Published: May 2020

With the rapid development of sensor technology and artificial intelligence, the video gesture recognition technology under the background of big data makes human–computer interaction more natural and flexible, bringing the richer interactive experience to teaching, on‐board control, electronic games etc. To perform robust recognition under the conditions of illumination change, background clutter, rapid movement, and partial occlusion, an algorithm based on multi‐level feature fusion of two‐stream convolutional neural network is proposed, which includes three main steps. Firstly, the Kinect sensor obtains red–green–blue‐depth (RGB‐D) images to establish a gesture database. At the same time, data enhancement is performed on the training set and test set. Then, a model of multi‐level feature fusion of a two‐stream convolutional neural network is established and trained. Experiments show that the proposed network model can robustly track and recognise gestures under complex backgrounds (such as similar complexion, illumination changes, and occlusion), and compared with the single‐channel model, the average detection accuracy is improved by 1.08%, and mean average precision is improved by 3.56%.
Birth of convective low-mass to high-mass second Larson cores
Authors: Bhandare Asmita , Kuiper Rolf , Henning Thomas , Fendt Christian , Flock Mario , Marleau Gabriel-Dominique
Published: May 2020

Context. Stars form as an end product of the gravitational collapse of cold, dense gas in magnetized molecular clouds. This fundamentally multi-scale scenario occurs via the formation of two quasi-hydrostatic Larson cores and involves complex physical processes, which require a robust, self-consistent numerical treatment.

Aims. The primary aim of this study is to understand the formation and evolution of the second hydrostatic Larson core and the dependence of its properties on the initial cloud core mass.

Methods. We used the PLUTO code to perform high-resolution, one- and two-dimensional radiation hydrodynamic (RHD) core collapse simulations. We include self-gravity and use a grey flux-limited diffusion approximation for the radiative transfer. Additionally, we use for the gas equation of state density- and temperature-dependent thermodynamic quantities (heat capacity, mean molecular weight, etc.) to account for effects such as dissociation of molecular hydrogen, ionisation of atomic hydrogen and helium, and molecular vibrations and rotations. Properties of the second core are investigated using one-dimensional studies spanning a wide range of initial cloud core masses from 0.5 M⊙ to 100 M⊙. Furthermore, we expand to two-dimensional (2D) collapse simulations for a selected few cases of 1 M⊙, 5 M⊙, 10 M⊙, and 20 M⊙. We follow the evolution of the second core for ≥100 years after its formation, for each of these non-rotating cases.

Results. Our results indicate a dependence of several second core properties on the initial cloud core mass. Molecular cloud cores with a higher initial mass collapse faster to form bigger and more massive second cores. The high-mass second cores can accrete at a much faster rate of ≈10−2 M⊙ yr−1 compared to the low-mass second cores, which have accretion rates as low as 10−5 M⊙ yr−1. For the first time, owing to a resolution that has not been achieved before, our 2D non-rotating collapse studies indicate that convection is generated in the outer layers of the second core, which is formed due to the gravitational collapse of a 1 M⊙ cloud core. Additionally, we find large-scale oscillations of the second accretion shock front triggered by the standing accretion shock instability, which has not been seen before in early evolutionary stages of stars. We predict that the physics within the second core would not be significantly influenced by the effects of magnetic fields or an initial cloud rotation.

Conclusions. In our 2D RHD simulations, we find convection being driven from the accretion shock towards the interior of the second Larson core. This supports an interesting possibility that dynamo-driven magnetic fields may be generated during the very early phases of low-mass star formation.
Unveiling the power spectra of δ Scuti stars with TESS
Authors: Barceló Forteza S. , Moya A. , Barrado D. , Solano E. , Martín-Ruiz S. , Suárez J. C. , García Hernández A.
Published: May 2020

Thanks to high-precision photometric data legacy from space telescopes like CoRoT and Kepler, the scientific community could detect and characterize the power spectra of hundreds of thousands of stars. Using the scaling relations, it is possible to estimate masses and radii for solar-type pulsators. However, these stars are not the only kind of stellar objects that follow these rules: δ Scuti stars seem to be characterized with seismic indexes such as the large separation (Δν). Thanks to long-duration high-cadence TESS light curves, we analysed more than two thousand of this kind of classical pulsators. In that way, we propose the frequency at maximum power (νmax) as a proper seismic index since it is directly related with the intrinsic temperature, mass and radius of the star. This parameter seems not to be affected by rotation, inclination, extinction or resonances, with the exception of the evolution of the stellar parameters. Furthermore, we can constrain rotation and inclination using the departure of temperature produced by the gravity-darkening effect. This is especially feasible for fast rotators as most of δ Scuti stars seem to be.
Wind-driven halo in high-contrast images
Authors: Cantalloube F. , Farley O. J. D. , Milli J. , Bharmal N. , Brandner W. , Correia C. , Dohlen K. , Henning Th. , Osborn J. , Por E. , Suárez Valles M. , Vigan A.
Published: May 2020

Context.The wind-driven halo is a feature that is observed in images that were delivered by the latest generation of ground-based instruments that are equipped with an extreme adaptive optics system and a coronagraphic device, such as SPHERE at the Very Large Telescope (VLT). This signature appears when the atmospheric turbulence conditions vary faster than the adaptive optics loop can correct for. The wind-driven halo is observed as a radial extension of the point spread function along a distinct direction (this is sometimes referred to as the butterfly pattern). When this is present, it significantly limits the contrast capabilities of the instrument and prevents the extraction of signals at close separation or extended signals such as circumstellar disks. This limitation is consequential because it contaminates the data for a substantial fraction of the time: about 30% of the data produced by the VLT/SPHERE instrument are affected by the wind-driven halo.

Aims.This paper reviews the causes of the wind-driven halo and presents a method for analyzing its contribution directly from the scientific images. Its effect on the raw contrast and on the final contrast after post-processing is demonstrated.

Methods.We used simulations and on-sky SPHERE data to verify that the parameters extracted with our method can describe the wind-driven halo in the images. We studied the temporal, spatial, and spectral variation of these parameters to point out its deleterious effect on the final contrast.

Results.The data-driven analysis we propose provides information to accurately describe the wind-driven halo contribution in the images. This analysis confirms that this is a fundamental limitation of the finally reached contrast performance.

Conclusions.With the established procedure, we will analyze a large sample of data delivered by SPHERE in order to propose post-processing techniques that are tailored to removing the wind-driven halo.
Temporal evolution of oscillating coronal loops
Authors: Goddard C. R. , Nisticò G.
Published: May 2020

Context. Transverse oscillations of coronal structures are currently intensively studied to explore the associated magnetohydrodynamic wave physics and perform seismology of the local medium.

Aims. We make a first attempt to measure the thermodynamic evolution of a sample of coronal loops that undergo decaying kink oscillations in response to an eruption in the corresponding active region.

Methods. Using data from the six coronal wavelengths of SDO/AIA, we performed a differential emission measure (DEM) analysis of 15 coronal loops before, during, and after the eruption and oscillation.

Results. We find that the emission measure, temperature, and width of the DEM distribution undergo significant variations on timescales relevant for the study of transverse oscillations. There are no clear collective trends of increases or decreases for the parameters we analysed. The strongest variations of the parameters occur during the initial perturbation of the loops, and the influence of background structures may also account for much of this variation.

Conclusions. The DEM analysis of oscillating coronal loops in erupting active regions shows evidence of evolution on timescales important for the study of oscillations. Further work is needed to separate the various observational and physical mechanisms that may be responsible for the variations in temperature, DEM distribution width, and total emission measure.
The GALAH survey: multiple stars and our Galaxy
Authors: Traven G. , Feltzing S. , Merle T. , Van der Swaelmen M. , Čotar K. , Church R. , Zwitter T. , Ting Y.-S. , Sahlholdt C. , Asplund M. , Bland-Hawthorn J. , De Silva G. , Freeman K. , Martell S. , Sharma S. , Zucker D. , Buder S. , Casey A. , D’Orazi V. , Kos J. , Lewis G. , Lin J. , Lind K. , Simpson J. , Stello D. , Munari U. , Wittenmyer R. A.
Published: May 2020

Context. Binary stellar systems form a large fraction of the Galaxy’s stars. They are useful as laboratories for studying the physical processes taking place within stars, and must be correctly taken into account when observations of stars are used to study the structure and evolution of the Galaxy. The advent of large-scale spectroscopic and photometric surveys allows us to obtain large samples of binaries that permit characterising their populations.

Aims. We aim to obtain a large sample of double-lined spectroscopic binaries (SB2s) by analysis of spectra from the GALAH survey in combination with photometric and astrometric data. A combined analysis will provide stellar parameters of thousands of binary stars that can be combined to form statistical observables of a given population. We aim to produce a catalogue of well-characterised systems, which can in turn be compared to models of populations of binary stars, or to follow-up individual systems of interest.

Methods. We obtained a list of candidate SB2 systems from a t-distributed stochastic neighbour embedding (t-SNE) classification and a cross-correlation analysis of GALAH spectra. To compute parameters of the primary and secondary star, we used a Bayesian approach that includes a parallax prior from Gaia DR2, spectra from GALAH, and apparent magnitudes from APASS, Gaia DR2, 2MASS, and WISE. We used a Markov chain Monte Carlo approach to sample the posterior distributions of the following model parameters for the two stars: Teff[1,2], logg[1,2], [Fe/H], Vr[1,2], vmic[1,2], vbroad[1,2], R[1,2], and E(B−V).

Results. We present results for 12 760 binary stars detected as SB2s. We construct the statistical observables T1∕T2, ΔVr, and R1∕R2, which demonstrate that our sample mostly consists of dwarfs, with a significant fraction of evolved stars and several dozen members of the giant branch. The majority of these binary stars is concentrated at the lower boundary of the ΔVr distribution, and the R1∕R2 ratio is mostly close to unity. The derived metallicity of our binary stars is statistically lower than that of single dwarf stars from the same magnitude-limited sample.

Conclusions. Our sample of binary stars represents a large population of well-characterised double-lined spectroscopic binaries that are appropriate for statistical studies of the binary populations. The derived stellar properties and their distributions show trends that are expected for a population of close binary stars (a < 10 AU) detected through double lines in their spectra. Our detection technique allows us to probe binary systems with mass ratios 0.5 ≤q ≤ 1.
Catalogue of new Herbig Ae/Be and classical Be stars
Authors: Vioque M. , Oudmaijer R. D. , Schreiner M. , Mendigutía I. , Baines D. , Mowlavi N. , Pérez-Martínez R.
Published: May 2020

Context. The intermediate-mass pre-main sequence Herbig Ae/Be stars are key to understanding the differences in formation mechanisms between low- and high-mass stars. The study of the general properties of these objects is hampered by the lack of a well-defined, homogeneous sample, and because few and mostly serendipitously discovered sources are known.

Aims. Our goal is to identify new Herbig Ae/Be candidates to create a homogeneous and well defined catalogue of these objects.

Methods. We have applied machine learning techniques to 4 150 983 sources with data from Gaia DR2, 2MASS, WISE, and IPHAS or VPHAS+. Several observables were chosen to identify new Herbig Ae/Be candidates based on our current knowledge of this class, which is characterised by infrared excesses, photometric variabilities, and Hα emission lines. Classical techniques are not efficient for identifying new Herbig Ae/Be stars mainly because of their similarity with classical Be stars, with which they share many characteristics. By focusing on disentangling these two types of objects, our algorithm has also identified new classical Be stars.

Results. We have obtained a large catalogue of 8470 new pre-main sequence candidates and another catalogue of 693 new classical Be candidates with a completeness of 78.8 ± 1.4% and 85.5 ± 1.2%, respectively. Of the catalogue of pre-main sequence candidates, at least 1361 sources are potentially new Herbig Ae/Be candidates according to their position in the Hertzsprung-Russell diagram. In this study we present the methodology used, evaluate the quality of the catalogues, and perform an analysis of their flaws and biases. For this assessment, we make use of observables that have not been accounted for by the algorithm and hence are selection-independent, such as coordinates and parallax based distances. The catalogue of new Herbig Ae/Be stars that we present here increases the number of known objects of the class by an order of magnitude.
Ambipolar diffusion in the Bifrost code
Authors: Nóbrega-Siverio D. , Martínez-Sykora J. , Moreno-Insertis F. , Carlsson M.
Published: May 2020

Context. Ambipolar diffusion is a physical mechanism related to the drift between charged and neutral particles in a partially ionized plasma that is key to many different astrophysical systems. However, understanding its effects is challenging due to basic uncertainties concerning relevant microphysical aspects and the strong constraints it imposes on the numerical modeling.

Aims. Our aim is to introduce a numerical tool that allows us to address complex problems involving ambipolar diffusion in which, additionally, departures from ionization equilibrium are important or high resolution is needed. The primary application of this tool is for solar atmosphere calculations, but the methods and results presented here may also have a potential impact on other astrophysical systems.

Methods. We have developed a new module for the stellar atmosphere Bifrost code that improves its computational capabilities of the ambipolar diffusion term in the generalized Ohm’s law. This module includes, among other things, collision terms adequate to processes in the coolest regions in the solar chromosphere. As the main feature of the module, we have implemented the super time stepping (STS) technique, which allows an important acceleration of the calculations. We have also introduced hyperdiffusion terms to guarantee the stability of the code.

Results. We show that to have an accurate value for the ambipolar diffusion coefficient in the solar atmosphere it is necessary to include as atomic elements in the equation of state not only hydrogen and helium, but also the main electron donors like sodium, silicon, and potassium. In addition, we establish a range of criteria to set up an automatic selection of the free parameters of the STS method that guarantees the best performance, optimizing the stability and speed for the ambipolar diffusion calculations. We validate the STS implementation by comparison with a self-similar analytical solution.
Effect of heat treatment on the preservation of Chaenomeles speciosa (Sweet) Nakai
Authors: Huang Rong , Zhao Luping , Wang Xiaoli , Wang Zhaosheng , Li You , Fang Shuangjie
Published: May 2020

Heat treatment was used to extend the shelf life of postharvest Chaenomeles speciosa (Sweet) Nakai (C. speciosa), its effects on the quality and physiological properties of C. speciosa were studied. The results showed that heat treatment reduced the weight loss, inhibited the decline of titratable acids (TA), maintained a higher activity of peroxidase (POD) and catalase (CAT), compared to untreated C. speciosa. Treatment in hot water dipping at 50℃ for 2-4 min maintained the better quality of postharvest C. speciosa stored at 0℃ for 120 days, which indicated that heat treatment is an effective preservation technology to prolong the shelf life of C. speciosa.
Ship Energy Saving And Emission Reduction
Authors: Xiaoliang Dong
Published: May 2020

At present, the energy issue is a common problem faced by all industries. The use of effective energy-saving and emission reduction methods in the shipping process can save the cost of shipping. As the price of oil on ships continues to rise, energy-saving technologies for ship power stations and electrical equipment have attracted widespread attention. The use of energy-saving and emission-reduction technologies can save energy consumption, reduce environmental pollution caused by the shipping process, and obtain both economic and environmental benefits. This article briefly describes the importance of energy saving and emission reduction of ship power stations and electrical equipment on board. It explains the application of specific energy saving and emission reduction methods from the aspects of ballast water system modification, installation of desulfurization system and application of frequency conversion energy saving technology.
Research and Application of Power Detection Technology on Photovoltaic Module Array
Authors: Zhen tao Zhang , Gang Li , Ping guo Zou , Qiang Li , Ya bin Chen
Published: May 2020

Based on the principle of photovoltaic module power detection, an intelligent module array power detection scheme is proposed, and a photovoltaic module array power detection device is designed. It consists of a master and multiple slaves. The voltage, current, temperature, and irradiation signals are synchronously collected and processed by acquisition module CC2530, and then wirelessly transmitted to the host for processing through zigbee communication protocol. These signals are calculated and displayed by the host software. Photovoltaic module array power detection device adopts modular design and experience experimental test. The measurement error meets the needs of field test. The device has the advantages of convenient portability, simple operation, high informatization, large test range, and good safety.
Experimental Investigation on Thermal Performance of Double-U-tube Heat Exchanger Using CuO/water Nanofluid as Heat Transfer Fluid
Authors: Du Ruiqing , Jiang Dandan , Wang Yong
Published: May 2020

By applying the shallow ground energy to supply building heating and cooling, the geothermal heat exchanger systems were considered as an energy-efficient building service system. In this study, the CuO/water nanofluid was employed as circuit fluids of the geothermal heat exchanger system, and the thermal performance of the heat exchanger was investigated. The results showed that the heat transfer process of CuO/water nanofluid became stable earlier than that water. Furthermore, the heat transfer rate of nanofluid was higher than that of water when the heat transfer process plateaued.
CO2 Emission Calculation and Emission Characteristics Analysis of Typical 600MW Coal-fired Thermal Power Unit
Authors: Honghai Yu , Zhi Wang , Li Chen , Jianan Wu
Published: May 2020

In order to effectively reduce the total CO2 emissions of coal-fired power plants and reduce greenhouse gas emissions, the relevant data of a typical 600MW coal-fired power plant in the past five years was collected and investigated, and CO2 emissions and emission intensity were calculated. And the results were used to measure the CO2 emission level of coal-fired power plants. By comparing and analyzing the CO2 emission intensity and emission trend of 600MW coal-fired units with different unit types and different fuel types, the CO2 emission characteristics of typical 600MW coal-fired power plants are obtained.
Mechanical dilatancy and contraction effect of contaminated soil solidified by organic solvent
Authors: Feng Cheng , Cheng Wei , Aijun Chen , Di Wu , Junhua Chen , Chunhui Su
Published: May 2020

The mix proportion experiment was applied to investigate the mix proportion scheme of organic soil mass curing agent, and the functional mechanism of organic solvent fused with soil mass was analyzed. Under conditions of low confining pressure (90~240kPa) and relative higher confining pressure (600~1200kPa), the consolidated drained triaxial shear test was applied to compare the mechanical dilatancy and contraction effect of undisturbed soil, contaminated soil and consolidated soil, and draw the mechanical volumetric strain characteristic curves. Then the volumetric strain characteristics of dilatancy and contraction behavior and their peak strength change rules of heavy metal contaminated soil, before and after consolidation, were analyzed. According to Pietruszczak’s hardening rule, the two yield surfaces volumetric strain model of heavy metal contaminated soil was established. Results indicate that heavy metal contaminated soil shows dilatancy property under the low confining condition and contraction property under high confining condition, while peak strength decreases obviously. Soil consolidation effectively improves the dilatancy volumetric strain characteristic under low confining condition, contraction volumetric characteristic under medium to high confining condition, and the peak strength increased significantly. This model makes up for the defect that the traditional single yield surface model cannot describe the critical strain state of dilatancy and contraction, and it reasonably reflects the volumetric strain change process of heavy metal contaminated soil.
Effects of DA-6 on Phosphorus and Potassium Uptakes of Tomato Seedlings under Cadmium Stress
Authors: Shan Shiyao , Tang Wanjia , Peng Xuemei , Lu Jing , Liu Han , Li Huanxiu
Published: May 2020

In order to study the effect of foliar DA-6 on the phosphorus and potassium content of tomato seedlings under cadmium stress, the pot experiment was used to cultivate ‘Zhongza 9’ tomato in 50 μmol/L CdCl2•2.5H2O nutrient solution. The effects of DA-6 at different concentrations (0, 10, 20, 30 and 40 mg/L) on the phosphorus and potassium uptakes of tomato seedlings under cadmium stress were studied. The results showed that when the DA-6 concentration was 20 mg/L, the phosphorus content in the root and stem of tomato seedlings increased significantly, which were 41.5% and 12.8% higher than the control. In all treatments, when the DA-6 concentration was 10 mg/L, the potassium content of tomato seedling roots, stems and shoots increased significantly, which were 25.4%, 10.0%, and 5.8% higher than the control. In summary, the low-concentration DA-6 treatment had a certain effect on increasing the phosphorus and potassium content of tomato, and there were differences in the optimal concentration of phosphorus and potassium content.
Research on Pollution Characteristic of Urban Runoff in Storm Sewer
Authors: Weiwei Chen
Published: May 2020

Taking urban roof as the catchment area in Xinxiang City, researching on the hydrology and water quality process of each rainfall event in storm sewer can provide the basis for effectively using urban rainfall and controlling non-point source pollution, and so on. The samples were taken to analyze the contents of SS, COD and TN. The results show that the variation trend of pollutant index SS, COD in runoff is similar and tends to be a steady value. TN decreased with the accumulation of rainfall, but rebounded before the end of rainfall. The standard deviation rate of water quality indicator is SS > COD > TN. The roof flush effect is obvious at the initial stage of runoff, and the initial runoff amount can be defined as the first 1-3mm rainfall. The correlation of SS, COD and TN is good in runoff, and measures can be taken to remove them simultaneously in controlling the runoff pollution. The runoff pollutants flow into the receiving water directly through urban drainage pipe network, and have a great effect on its water quality, especially the changes of SS and COD are the most obvious.
Feasibility study of highway project in the environment sensitive area of Western China -- Based on the magic cube model of construction necessity and ecological friendliness
Authors: Zhu Gaoru , Hu Kun , Li Long , Gao Yujian , Lin Jing , Xu Honglei , Han Dong , Wu Dafang , Liu Jie
Published: May 2020

Under the background of the strategy of “strong transportation country”, the feasibility study of highway network construction is a hot topic in academic fields such as highway line selection. It is also an important means to promote development of eco-sensitive regions such as Sanjiangyuan in Qinghai-Tibet plateau. We selected 17 indexes of construction necessity and 9 indexes of ecological friendliness to evaluate the feasibility of highway network construction. The indexes were weighted by the analytic hierarchy process (AHP) and expert scoring method. Furthermore, we used comprehensive factor evaluation model to quantify the construction necessity and ecological friendliness of planning highways in Sanjiangyuan. Finally, we used the magic cube model to calculate the score of construction feasibility. The result shows the number of planning highways with high, relatively-high, medium, relatively-low and low construction feasibility is 16, 11, 11, 11 and 1, respectively. The feasibility of planning highway construction in the eastern and western region of Sanjiangyuan is similar generally, which don’t have big interregional difference. Results of this study can provide technical support and theoretical basis for regional highway network construction and traffic route planning in underdeveloped areas in the West China.
Effects of air pollution on poverty vulnerability
Authors: Liang Yinuo , Li Jialing , Chai Dingping , Zhuang Chen
Published: May 2020

In order to study the extent of the impact of air pollution on poverty vulnerability and provide a reference for governments to formulate and adjust policy approaches, in this paper, CNRDS and CHIPS micro-survey data were used to test the effects of air pollution on poverty vulnerability by using the Probit model, and the tendency value matching (PSM) method was adopted to correct the selective bias. The basic results show that air pollution is significantly negatively correlated with farmers’ vulnerability to poverty, that is, the higher the proportion of air pollution, the lower the economic vulnerability of farmers. And the effect of air pollution on farmers’ economic vulnerability is U-shaped. The main contribution of this paper refers to its assessment of the poverty reduction effect of air pollution from a forward-looking perspective, which can effectively maintain the results of poverty relief, improve the effectiveness of poverty-relief inputs and the continuity of poverty-relief effects, and achieve a stable poverty relief of the poor.
Research of multi-rotor UAV atmospheric environment monitoring system based on 4G network
Authors: Liu Xiaojun , Wen Hongyuan , Li Ao , Xu Di , Hou Zhengxuan
Published: May 2020

Aiming at the shortcomings of the traditional fixed atmospheric environment monitoring system, such as low flexibility, limited monitoring space, and the limitation of the distance of the unmanned aerial vehicle (UAV) atmospheric environment monitoring based on the data transmission module and the limited amount of data transmitted online, the multi-rotor UAV atmospheric environment monitoring system transmitted by 4G network is designed, transmits the atmospheric data collected by the airborne atmospheric detection sensors to the network cloud server through the 4G network, and realizes real-time monitoring and analysis of atmospheric data on the data monitoring platform, combined with the transparent cloud and cloud configuration technology. Firstly, the shortcomings of traditional ground monitoring stations and drone monitoring methods were analyzed, and the overall design of the system is given; then, the software and hardware design of the system were expounded in detail; finally, experiments were carried out in in the university town of Hailing area of Taizhou city. The research results can effectively expand the working space and methods of traditional atmospheric environment monitoring and provide new ideas and methods for the research of environmental monitoring UAV.
Environment Knowledge, Law-Abiding Consciousness and Risk Perception Influencing Environmental Behavior
Authors: Lian Zheng , Qian Qianyanhui , Bao Lejun
Published: May 2020

This research investigates the impact of environmental knowledge, law-abiding consciousness, and risk perception on environmental behavior through structural equation modeling (SEM) analysis. The results found that: 1. The higher the awareness of environmental knowledge, the higher the friendliness of environmental protection behavior. 2. The higher the awareness of risk perception, the higher the friendliness of environmental protection behavior. 3. The stronger the law-abiding consciousness, the higher the friendliness of environmental protection behavior. 4. Individual cognitive ability has a positive and significant impact on environmental knowledge, risk perception and law-abiding consciousness.
Research progress in activation of phosphorus containing substances and remediation of heavy metal pollution in soil
Authors: Na Wang
Published: May 2020

The phenomenon of soil phosphorus deficiency in China is very serious, which limits the agricultural production in China. Low molecular weight organic acids and phosphorus solubilizing microorganisms are widely distributed in the soil, and can be used as activators to improve the content of phosphorus in the soil. With the rapid development of industry and agriculture in China, heavy metal pollution in the environment is becoming more and more serious. China is rich in phosphate rock resources, but the grade of phosphate rock is low and the utilization efficiency is not high. Using phosphate rock to deal with heavy metal pollution has been favored by environmental scholars. This paper analyzes the main composition and application of phosphate rock in China, the activation of phosphate rock powder, the remediation effect and mechanism of phosphate rock powder and activated phosphate rock powder on heavy metals in soil, providing theoretical basis for the scientific utilization of low-grade phosphate rock and the treatment of heavy metal pollution.
Artificial Frozen Soil Bending Test and Bending Property
Authors: Tao Liu , Zhi Huang , Zhigang Zheng , Shaoyou Hong , Jia Li , Youzhi Li , Hong Huang
Published: May 2020

Artificial freezing ground method has been widely used in tunnels, metro and other projects, in the connecting passage in metro, the artificial frozen soil wall, which is formed by artificial freezing method, is often used as temporary support. The artificial frozen soil wall is in the joint action of pressure and bending moment, for it takes the upper pressure and lateral earth pressure at same time, so there may be tensile stress in the profile, which may cause brittle failure. At present, some scholars have carried out researches on the tensile strength with different test methods, but they are insufficiency and have a certain difference in stress state between the specimen and the actual support structure. A bending test instrument was designed and manufacture, which satisfies the code’s requirements, and reduces the error caused by poor contact between the specimen and loading device. Bending test on artificially frozen soils was launched using this instrument, and the test on influence law of moisture content and freezing temperature on artificially frozen soils’ strength was also launched. The conclusions can provide a reference for design and construction.
Slope stability analysis under rainfall conditions considering unsaturated characteristics of materials
Authors: Wang Sha , Mei Guodong , Xie Xuyang , Yaoxuan Li , Yao Lu
Published: May 2020

As one of the important facilities in mines, the dump has become one of the major hidden dangers of mine safety management due to its large volume and loose structure. In this paper, based on unsaturated seepage theory of soil and practical engineering slope cases, the slope stability calculation model based on Bishop limit equilibrium method is established. This paper analyzes and calculates the evolution law of slope stability under extreme rainfall, obtains the law of slope stability safety coefficient changing with rainfall under unsaturated characteristics, and puts forward the corresponding countermeasures.
Qualitative interpretation method of water flooding in independent off surface reservoir of Lamadian Oilfield
Authors: Cui Li Hong
Published: May 2020

With Lamadian Oilfield entering the late stage of ultra-high water cut, the number of thick layers in water drive is becoming less and less, so it is imperative to study the remaining oil in thin difference reservoir. For the thin difference reservoir, the independent off surface reservoir has naturally become an important research object [1]. It is necessary to study the waterflooding condition of the independent outer surface reservoirs to find out the producing law of the thin difference reservoirs at present. In this paper, we mainly use thewater washing data of independent outer surface reservoir and core data of sidewall of coring well to find the water flooding interpretation law of independent outer surface reservoir.This paper focuses on the analysis of the characteristics of the electric logging curve of the independent off surface reservoir after water flooding, and summarizes a set of qualitative interpretation methods suitable for the independent off surface reservoir of Lamadian oilfield. This method can improve the accuracy of waterflooded layer interpretation and meet the needs of remaining oil potential tapping in the later stage of ultra-high water cut.
Driving Direction Displacement Analysis of Asphalt Pavement under Fluctuating Load
Authors: Jianhong Gao , Youjun Xu , Shengchun Yang
Published: May 2020

The finite element software ANSYS is used to build the asphalt pavement three-dimensional model and to carry through transient analysis. The z-direction displacement time history curves of asphalt pavement under half wave sine load are obtained. The curves reveal that the dynamic load influence on pavement structure Z-direction displacement is complex; The z-direction displacement always reaches its peak value when the load reaches this point, and it decreases rapidly to zero after the load leaves; The Z-direction displacement influence of dynamic load increases with the increase of depth. These conclusions can provide a reference for asphalt pavement under half wave sinusoidal dynamic load.
Improving pre-drilling efficiency by analysing geological prospecting data: a case study of a project in Nanshan, Shenzhen
Authors: Liu Da , Liu Zheng , Chen Tianyu
Published: May 2020

Pre-drilling is a widely used technique to get the detailed geological condition at the location of the bored pile foundation prior to its construction. It is often a necessary step for bored piles supported by strata, as its results are helpful for finalizing the pile length in design stage, which often requires the pile to be embedded into the rock strata at certain depth. The aim of the paper is to find the optimal (normally the lowest) point of rock strata at the purposed pile location, so that the optimal length required for the pile can be determined. To achieve this, geological prospecting data of the site needs to be analysed and the optimal pre-drilling point needs to be determined. The model developed by this study is based on the geological prospecting data and the pre-drilling results of a real project with a sharp slope of strata. It is found that by using the method introduced in this study, higher accuracy results could be obtained with less pre-drilling works required, hence the time and the cost of pre-drilling can be greatly reduced.
Conceptual Framework for the Risk Assessment of Hydrological Disasters: A Case from Urumqi, China
Authors: Li Xingwei , Long Hongyu
Published: May 2020

Hydrological disasters have become one of the most serious problems facing regional green development. In order to develop a method suitable for comprehensive assessment of urban hydrological disasters, this paper takes Urumqi, China as the research object, and proposes a conceptual framework. Urumqi is an urban area in the northwest of China, and it is often devastated by hydrological disasters. In combination with urban geographic data and the mathematical calculation model of Urumqi, China, the urban hydrological disasters analysis model of Urumqi is established by using the spatial analysis technology of the Geographic Information System according to the risk index of hydrological disaster. Considering the various related factors, like the hazard risk, vulnerability and exposure of disaster, and disaster environment, the risk assessment framework of hydrological disasters in Urumqi is finally designed. In addition, the framework provides a reference for relevant government agencies to develop disaster prevention and mitigation policies.
Study on the spatiotemporal changes and impact of reclamation areas based on remote sensing
Authors: Jiwen Liu , Linfu Xue , Zhongtan Li
Published: May 2020

Using Landsat TM and OLI multispectral image data, the accuracy of extracting sea area from different water body indices is compared. Finally, the improved normalized water body index (MNDWI) is selected to study the dynamic characteristics of the coastline and the progress of reclamation of Dalian in 1996, 2005, and 2015. The results show that: from 1996 to 2005, the area of land reclamation in Dalian reached 31.58km2, and 83.55km2 for 2015-2015. It is mainly used for dock construction, industrial land, aquaculture ponds, port docks, construction sites, residents Land, commercial and financial land, etc.; from 1996 to 2015, the total length of the coastline increased by 132.77km. The length of the artificial shoreline increased significantly, with its continuity in spatial distribution increased; the length of the bedrock shoreline was reduced due to the destruction of reclamation projects. Although large-scale land reclamation has brought good economic and social benefits to the local area, it also has a large impact on the marine and forest ecological environment. It is recommended to moderately develop coastal zone resources and further strengthen monitoring and supervision mechanisms.
Research and Application of Anti-floating Schemes of Deep Foundation Pit of Subway for Underwater Excavation and underwater concrete sealing
Authors: Luo Sheng
Published: May 2020

To implement deep foundation pit of subway construction with underground continuous wall adopting underwater excavation and waterproofing concrete bottom sealing curtain, the depth of bottom concrete must first meet the anti-floating requirements of the foundation pit. Since the elevation of the bottom slab of the station is certain, the thicker the sealing concrete, the deeper the excavation depth of the foundation pit, the greater the buoyancy of the water to be withstood, and eventually the thicker the sealing concrete, so the selection of foundation pit anti-floating scheme is very critical. This paper combines the practical construction of the deep foundation pit of the main structure of Yongdingmenwai station which is in the third phase of Beijing Metro Line 8 construction project, and analyzes and compares the anti-floating scheme of the foundation pit, so as to select a more reasonable anti-floating scheme, in order to apply experiences for future similar projects and construction.
Research on road engineering detection method based on GPR technology
Authors: Tao Liu , Jia Li , Zhi-gang Zheng , Zhi Huang , Jian Jiang , Shao-you Hong , You-zhi Li , Yin-tan Wu
Published: May 2020

GPR is an effective non-destructive testing technology. This paper introduces its composition principle and operation method, explains the process of parameter setting and image optimization, obtains the dielectric constant of 10000 points, compares it with the density, and then obtains the uniformity distribution law of construction quality based on image. By calibrating the thickness of the road surface, the effective detection of road diseases can be realized, and the theoretical basis and practical application conditions of GPR technology can be clarified.
The development and application of passive architecture in China
Authors: Zhang Ning , Bi Yu
Published: May 2020

Passive buildings can achieve energy saving goals through their own spatial form, envelope, building materials and structural design. However, at present, there are many problems in the development of passive buildings in China, such as inadequate foundation, unreasonable passive design, which make the development of passive buildings have many obstacles, not conducive to the promotion of the construction industry. Therefore, this paper analyzes the obstacle factors of passive buildings and puts forward reasonable solutions for reference.