Blowout Development Research Articles

Research on the Development Motivation of Marathon Race Blowout in China

As a national fitness sports event, city marathon is more and more sought after by people. Marathon is not only a competition for professional athletes, but also enters the life of ordinary people and becomes one of the first choices for national fitness. At the same time, the economic and cultural added value brought by the holding of the city marathon is favored by city managers. So far, the city marathon has shown a rapid blowout development trend, which plays an important role in promoting the strategic layout of Chinese healthy development.

Traceability of Microplastic Fragments from Waste Plastic Express Packages Using Near-Infrared Spectroscopy Combined with Chemometrics.

The pollution from waste plastic express packages (WPEPs), especially microplastic (MP) fragments, caused by the blowout development of the express delivery industry has attracted widespread attention. On account of the variety of additives, strong complexity, and high diversity of plastic express packages (PEPs), the multi-class classification of WPEPs is a typical large-class-number classification (LCNC). The traceability and identification of microplastic fragments from WPEPs is very challenging. An effective chemometric method for large-class-number classification would be very beneficial for the comprehensive treatment of WPEP pollution through the recycling and reuse of waste plastic express packages, including microplastic fragments and plastic debris. Rather than using the traditional one-against-one (OAO) and one-against-all (OAA) dichotomies, an exhaustive and parallel half-against-half (EPHAH) decomposition, which overcomes the defects of the OAO's classifier learning limitations and the OAA's data proportion imbalance, is proposed for feature selection. EPHAH analysis, combined with partial least squares discriminant analysis (PLS-DA) for large-class-number classification, was performed on 750 microplastic fragments of polyethylene WPEPs from 10 major courier companies using near-infrared (NIR) spectroscopy. After the removal of abnormal samples through robust principal component analysis (RPCA), the root mean square error of cross-validation (RMSECV) value for the model was reduced to 0.01, which was 21.5% lower than that including the abnormal samples. The best models of PLS-DA were obtained using SNV combined with SG-17 smoothing and 2D (SNV+SG-17+2D); the latent variables (LVs), the error rates of Monte Carlo cross-validation (ERMCCVs), and the final classification accuracies were 6.35, 0.155, and 88.67% for OAO-PLSDA; 5.37, 0.103, and 87.33% for OAA-PLSDA; and 3.12, 0.054, and 96.00% for EPHAH-PLSDA. The results showed that the EPHAH strategy can completely learn the complex LCNC decision boundaries for 10 classes, effectively break the tie problem, and greatly improve the voting resolution, thereby demonstrating significant superiority to both the OAO and OAA strategies in terms of classification accuracy. Meanwhile, PLS-DA further maximized the covariance and data interpretation abilities between the potential variables and categories of microplastic debris, thereby establishing an ideal performance identification model with a recognition rate of 96.00%.

On the consensus of synchronous temporal and spatial views: A novel multimodal deep learning method for social video prediction

The blowout development of video social platforms has spawned a wide range of social video prediction (SVP) tasks, such as video attractiveness prediction and video sentiment classification. In this paper, we propose to enhance SVP by making synchronous predictions based on temporal and spatial data perspectives and reconciling them to form a consistent predictive view. To this end, we develop a novel multimodal deep learning method named MATSC (modality-awareness- and temporal-spatial-consistency-based neural network). Specifically, MATSC first constructs the temporal predictive view by capturing valuable fine-grained data patterns and generating diverse multimodal representations via the modality-awareness learning strategy. Then, MATSC constructs the spatial predictive view by exploiting diverse modality-wise interactive patterns in fine-grained video clips. Third, MATSC reconciles the heterogeneous temporal and spatial predictive capabilities via a temporal-spatial-consistency learning objective. Empirical results based on three SVP datasets show the outperformance of MATSC over state-of-the-art benchmarks, demonstrating the enhancement effect of synergizing temporal and spatial data views for SVP tasks.

Comparison of aeolian desertification between the Moltsog Dune Field in Mongolia and the Ujimqin Dune Field in China

AbstractAeolian desertification is a severe ecological and environmental problem in arid regions. Research on its spatio‐temporal distribution, modelling and driving force is necessary to prevent the development of aeolian desertification. In this study, the Moltsog Dune Field in Mongolia and the Ujimqin Dune Field in China were selected as the study areas, as both contain dunes under similar physical conditions. Using LANDSAT data from 1988, 1995, 2002, 2009, 2016 and 2020, the spatial–temporal distribution and the degree of development of aeolian desertification in the two dune fields over the past 30 years were compared. Two periods of high‐resolution images were then used to compare the surface morphological changes induced by aeolian desertification in these dune fields. Climatic and socio‐economic data of the same period were used to compare and analyse the potential causes of changes in aeolian desertification in these regions. The results show that: (1) Over the last 30 years, the degree and development rate of aeolian desertification in the Ujimqin Dune Field were generally higher than those in the Moltsog Dune Field, and the former had a high degree of fragmented aeolian desertification patches with an expanding range. (2) The main form of aeolian desertification is the reactivation of fixed dunes, which includes the development of blowouts on the flat grassland under the influence of human activities in the Ujimqin Dune Field. (3) Desertification in Moltsog is mainly affected by climatic factors, while that in Ujimqin is mainly driven by anthropogenic activities. The latter is specifically affected by the high grazing intensity before 2000 and increased mining activities after 2000. These findings provide a reference for comparing the aeolian desertification process and meaningful information for preventing and controlling aeolian desertification and enabling the sustainable development of dune fields in arid regions.

The role of livestock grazing in long-term vegetation changes in coastal dunes: a case study from the Netherlands

The vegetation of coastal sand dunes is characterized by high species diversity and comprises some of the rarest vegetation types in North-Western Europe. Among them are dune grassland communities whose species richness relies on grazing. Those communities are assessed as a priority habitat type under the Natura 2000 legislation. In autumn 1990, Galloway cows and Nordic Fjord horses were introduced in the coastal dunes of Meijendel near The Hague (52°7'N, 4°20'E), The Netherlands, to reduce encroachment of tall grasses and shrubs, to develop bare sand patches, and as such facilitating diverse vegetation structures in the dune grasslands. In the 1950s, decades before the introduction of livestock, 41 permanent plots were installed. On average, they were examined every four years. Our study hypothesised that the livestock grazing in the set densities would halt progressive succession and facilitate regressive succession. Up to 1990, we observed an equilibrium between progressive and regressive succession. After 1990, however, our data showed a pronounced progressive succession contradicting the hypothesized effect of the livestock grazing. We relate the main observed patterns with two factors linked to rabbit populations: (i) the myxomatosis outbreak in 1954 and (ii) the rabbit Viral Haemorrhagic Disease (rVHD-1) outbreak in 1989. In addition to livestock grazing, rabbits block progressive succession by feeding on seedlings of shrub and tree species and digging burrows, creating small-scale mosaics of bare sand and initiate blowout development when collapsing. We state that the substantial decrease in rabbit numbers due to the viral diseases likely caused the observed increase of shrubs and trees in the study area's permanent plots. Climate change might have contributed to the observed increase in autonomous blowout development since 2001, as well as a decrease in atmospheric nitrogen deposition since 1990, after a strong increase the decades before.

Imprints of log-periodicity in thermoacoustic systems close to lean blowout.

In the context of statistical physics, critical phenomena are accompanied by power laws having a singularity at the critical point where a sudden change in the state of the system occurs. In this work we show that lean blowout (LBO) in a turbulent thermoacoustic system is accompanied by a power law leading to finite-time singularity. As a crucial discovery of the system dynamics approaching LBO, we unravel the existence of the discrete scale invariance (DSI). In this context, we identify the presence of log-periodic oscillations in the temporal evolution of the amplitude of the dominant mode of low-frequency oscillations (A_{f}) existing in pressure fluctuations preceding LBO. The presence of DSI indicates the recursive development of blowout. Additionally, we find that A_{f} shows a faster-than-exponential growth and becomes singular when blowout occurs. We then present a model that depicts the evolution of A_{f} based on log-periodic corrections to the power law associated with its growth. Using the model, we find that blowouts can be predicted even several seconds earlier. The predicted time of LBO is in good agreement with the actual time of occurrence of LBO obtained from the experiment.

Cross-Regional Cooperation and Counter-Market-Oriented Spatial Linkage: A Case Study of Collaborative Industrial Parks in the Yangtze River Delta Region.

At present, collaborative industrial parks (CIPs) in the Yangtze River Delta Region (YRDR) have become an important spatial strategy for coordinating regional development. However, existing studies tend to focus on individualized micro-studies, ignoring the regional-scale production space reconstruction by the geographical expansion of CIPs. Based on this, this study takes the YRDR, where the development of CIPs is relatively mature, as an example and systematically analyzes their geographic expansion process and driving mechanism. The results found that CIPs in the YRDR have gone through three stages: the exploration period of CIP construction under the guidance of assistance policies; the blowout development period of CIPs under the demonstration effect; and the complete cluster formation period of CIPs. Regional central cities, such as Suzhou, Hangzhou, Nanjing, and underdeveloped cities, such as Tongling and Xuancheng, are core nodes, with Shanghai-Nantong; Shanghai-Anqing; Nanjing-Huainan; Wuxi-Xuzhou; Suzhou-Suqian; and Jiaxing-Lishui being important elements in the flow channel. The CIP network is basically formed. During this period, the degree of all nodes increased to 134, the network connection rate increased to 2.26, and the network complexity was more significant. Furthermore, CIPs are essentially a form of capital re-territorialization and space restoration organized and coordinated by the government (provincial government or central government). In the meantime, the market and the social environment, such as residents' living standards, urban development foundation, urban transportation, and urban investment, also have an important impact on the geographic expansion of CIPs. In the regression results, the coefficients of popu, finance, labor, and passenger are significantly negative, but the coefficients of wage, gdp, freight, and govrd are significantly positive.

Morphological dynamics of a trough-shaped blowout on a fixed dune in China

• There is a strong link between blowout morphology and the pattern of airflow. • The pattern of airflow within blowout is related to the regional wind direction. • Airflow undergoes separation and deflection in the leeward of the deflation basin. • Corkscrew vortices are the determinant of upwind expansion of the deflation basin. The formation and development of blowouts is an important surface indication of sand drift activity in semiarid grassland areas; thus, an accurate understanding of their morphological evolution characteristics and dynamic processes is of significance for grassland desertification control. This study analyzed the long-term topographic change of a trough blowout developed on a fixed sand dune in the Otindag sandy land of China via ground measurements from 2011 to 2020 and examined the short-term airflow structure through field observations. The results indicated that the area of the deflation basin shows a state of continuous growth. The expansion of the deflation basin was most obvious on the western, southwestern and southern slopes, which is contrary to the regional prevailing wind direction. As airflow passes over the blowout, there is significant airflow steering with the change in topography, and the degrees of airflow steering and acceleration are determined by the direction of the approaching wind. Airflow expands and decelerates on the leeward side of the deflation basin, causing flow separation and producing a recirculation zone on the sheltered lee slopes. Based on a detailed analysis of the results, we suggest that the soil collapse and sand avalanches caused by vortices are the main reasons for the upwind expansion of the deflation basin. Collectively, these findings reveal a strong link between the blowout morphology and the airflow pattern.

Beach-dune development prior to a shoal attachment: A case study on Texel Island (NL)

Shorelines bordering ebb deltas are often subject to deformation by the approach and attachment of ebb-tidal shoals. Although this is a common behaviour, little attention has been paid to the link between shoal migration and the multi-annual development of the adjacent beach-dune system. This study aims to understand beach-dune systems' behaviour during the approach phase of an ebb-tidal shoal attachment event. Topographic and bathymetric data of the barrier island of Texel (NL) was used to calculate shoreline position, beach and dune volume, dunefoot position, and shoal displacement rates. Two classical beach-dune interaction models were used to understand the observed behaviour: the surfzone-beach-dune model and the sediment budget model. The analysis revealed how a larger bank on the land-facing side of the ebb delta split into two smaller shoals with different morphological behaviours. One of the shoals (S1) moved consistently landwards, recently attaching the shore, whereas the second shoal (S2) is still evolving and presents a milder landward movement than S1. In parallel to the landward movement of S1, the adjacent coastline was subject to erosion, partially counterbalanced by nourishments. However, despite the erosion, dunes are growing in volume, suggesting a net positive transfer of sand from the beach to the dunes. In the surfzone-beach-dune model, regular nourishments positively affect beach state by maintaining sufficient beach size for aeolian sediment transport and reducing shoreline erosion. In the budget model, dune volume growth may occur despite a slightly negative beach budget. Framing Texel in the budget model implies that the beach budget before the start of the approach phase is crucial in defining the behaviour of the dune system during this phase. If the shoal approach significantly reduces the beach budget, the system may cross the budget threshold that dune building is possible. Thus, the dune system may evolve to an erosional state, including dune ridge dissection and blowout development. Hence, nourishments have been essential in keeping the current morphological state during the attachment of the shoal, as they restrict the system from crossing the negative morphological threshold. Thus, without the nourishments, beach erosion driven by the shoal might have led to morphological changes in the dune system that could lead to years of a weakened level of protection until foredune recovery after attachment.

Determinants and dynamics of blowouts in Hulun Buir sandy grassland, Inner Mongolia, China from 1959 to 2018

AbstractThe formation and development of blowouts is an important surface indication of sand drift activity in the Hulun Buir sandy grassland and the main cause of landscape pattern heterogeneity. In this study, dynamic changes and determinants of blowouts in this region were studied via analysis of multi‐period high‐resolution remote sensing data from 1959 to 2018. The different stages of activity and dominant factors of the fixation and activation of blowouts were analysed with Lancaster's M‐index. The results show that the activity of blowouts in Hulun Buir sandy grassland can be divided into three stages from 1959 to 2018: (I) growth and expansion stage, from 1959 to 2004; (II) fixation and grassland recovery stage, from 2005 to 2010; (III) redevelopment stage, from 2011 to 2018. The two geomorphic units of depressions and depositional lobes exhibit different responses to changes in climatic factors. The depositional lobes are more sensitive to the change in external factors with better feedback and their areas and numbers change with the variation of stage, while depressions exhibit relatively slow changes. The wind regime is the dominant factor explaining the variation of activity of blowouts, with precipitation and potential evapotranspiration as secondary factors for this region. Roads have little effect on the development and deformation of blowouts, but the movement of cattle and sheep across the region has a big influence. Therefore, the desertification process of Hulun Buir grassland is driven by both natural and human factors.

Evolution of blowouts in artificial foredunes on Pingtan Island, China

AbstractThe appearance of a blowout can be an obvious sign of accelerated coastline retreat or dune erosion and in response to serious coastal erosion, an increasing number of artificial foredunes are being built. However, over time, numerous blowouts have also developed on artificial foredunes. To our knowledge, no studies have been reported on the evolution of blowouts in artificial foredunes, and in response we explore the aerodynamics and morphodynamics of artificial blowouts at different stages, by conducting field experiments on the Changjiang Ao coast of Pingtan Island, China. Where a foredune was built on an artificial clay structure, with topography and wind fields around three blowouts in different developmental stages measured, preliminary results revealed that: (1) the blowout morphology and airflow patterns show distinct seasonal changes; (2) the development of blowouts in artificial foredunes involves five stages, in contrast to the four stages observed in natural foredunes; and (3) blowout development is controlled by a two‐way feedback between aeolian processes and blowout morphological development, and the artificial structure can interfere with this feedback mechanism by altering the path of blowout development. The findings enhance our understanding of geomorphic process–response systems in artificial foredunes and provide a reference for coastal management and dune stabilization policy and practice.

The Feasibility of the Intelligent Development of Contrastive Translation between English and Chinese based on the Development of E-commerce

Objectives: At present, with the rapid development and application of the Internet, the cross-border transaction of e-commerce presents a blowout development, and the demand for language is increasing. Methods: In this paper, starting from the perspective of machine intelligent translation of English and Chinese, and in view of the problem of traditional contrastive translation of machine, the algorithm of strengthening neural network was used to solve the problem of translation. In the study, the process of intelligent translation was divided into two stages: encoding and decoding. In view of the language type and word alignment, the input and output modules were formed and the algorithm was optimized, and a recurrent neural network algorithm was used to build an RNN-embed intelligent translation model of English and Chinese. Results: The model was input through the character level in English and Chinese, and then the network was trained, so as to solve the problem that it is difficult to deal with the advanced semantics in the process of strengthening the neural network calculation of text information in the cross-border transaction of e-commerce. Conclusion: It is proved by experiments that the RNN-embed translation model based on the enhanced neural network algorithm can improve the quality of the long sentence translation compared with the machine translation.

Characteristics of spatial pattern evolution of blowouts in the Hulunbuir sandy grassland

Blowout is the initial form of sand steppe, sand belts, or dunes; the continuous development of blowouts leads to desertification expansion and ecological degradation. The study area is a typical blowout area of 30762 hm2 near a sand belt north of the Hulunbuir Grassland. Seven images from Landsat TM (30 m) taken in 1984, 1990, 1995, 2000, 2005, 2010, and 2016 were analyzed using ArcGIS and FRAGSTATS software and the landscape pattern index method to investigate the spatial pattern change of blowouts. The results show that the distribution of blowouts is intensive, primarily comprising blowouts < 10 hm2, with the largest blowout in the study area being equal to 96.59 hm2. There was a significant correlation among blowout patch area, shape index, and fractal dimension. The long axis of the blowouts is consistent with the prevailing wind. As the blowout area increases, it forms a saucer-trough irregular shape. In summary, although there is a wide blowout distribution, there is a local aggregation distribution in certain areas resulting in significant landscape fragmentation. As a result, there is a risk of blowout fragments forming a large area of sandy land or partially broken sand dune landforms. To prevent desertification, corresponding measures for vegetation restoration should be implemented during early-stage blowouts.

The Design and Realization of Fire Evacuation and Rescue Applet

With the vigorous development of new media technology, wechat applet is in the stage of blowout development. Based on wechat platform, and combined with the public’s cognition of fire safety knowledge, the fire evacuation and rescue applet is designed by wechat developer tools, cloud computing platform and other tools. The applet includes many modules such as evacuation plan display, fire plan display, fire tips, plan inquiry, fire publicity video and hidden danger report and so on. In the event of a fire, the applet can enable the public to acquire the knowledge of fire safety precautions and evacuation paths of the places where they are located timely. Also, the applet can help commanders get the fire emergency plan at the first time, have a preliminary understanding of the driving route, water source information and the basic situation of the unit on the way if reinforcements are needed in other district. So the fire evacuation and rescue applet can provide a timely and effective way for the public to popularize fire common knowledge. All of these functions can enhance people’s awareness of fire safety and reduce losses in case of fire.

Blowout Morphometrics and Mass Balances

The Gonghe Basin on the Qinghai-Tibet Plateau has a cold, arid climate and has suffered severe land degradation. Climate change as well as anthropogenic activities including overgrazing have resulted in widespread blowout development and the formation of some of Earth’s largest blowouts. The blowouts are part of an aeolian dominated landscape that passes from deflation zone to grass covered plain, and then through blowouts of increasing size and complexity to transverse barchanoid dunes that are migrating into the valley of the Yellow River. A combination of structure-from-motion (SfM) optical drone mapping, ground-penetrating radar (GPR) and soil pits are used to investigate blowout scour hollows and depositional lobes. Comparisons of the volumes of sediment removed from the scour hollows with the volumes of sediment deposited within adjacent lobes varies between sites. The lobe volume is invariably less than the volume of the scour hollow. This can, in part, be attributed to aeolian reworking of the lobe, distributing sand further downwind and uplifting of dust. However, much of the difference in volumes between the scour and lobe can be attributed to the measurement technique, particularly where GPR was employed to calculate lobe volumes. The wavelength of the GPR limits its ability to resolve thin layers of sand resulting in an underestimate of the deposited sand at the margins of a lobe where the sand thickness is equal to, or less than, the wavelength of the GPR. For thin sand layers, beneath the resolution of the GPR, soil pits suggest a closer match between the volume of sand eroded from the scour and the volume of the lobe, albeit with large measurement uncertainty. We put forth two hypotheses to explain the spatio-temporal evolution of the blowout dune field. The downwind increase in blowout dune size could either reflect a downwind propagation of aeolian instability; or it could result from an upwind propagation of the instability, which started at the highest points in the landscape and has subsequently migrated in a northwesterly direction, towards lower elevations. Recent optically stimulated luminescence dating appear to support the latter hypothesis.

A Brief Analysis of the Communication Characteristics and Problems of News Network Broadcast

&lt;p&gt;With the development and popularization of Internet technology, the way of news network broadcast came into being. The number of live broadcast platforms and audiences has shown a blowout development in recent years. This new reporting mode makes communication more diversity, crosses the limitation of time and space, and has obvious reality. Through network broadcast, news can bring a better communication experience to the audience and the status of the audience is getting increasingly higher. News report is presented to the public in the form of live video, enabling the audiences to receive information synchronously. With the popularity of live broadcast platforms, everyone can become a communicator. However, these communication characteristics lead to many problems in the process of its development for news network broadcast.&lt;/p&gt;

A Study on the Ideological and Political Education of Inter-Subjectivity in Colleges and Universities in the Era of New Media

Under the background of the new media era, teenagers, especially college students, have pushed the new media to a blowout development trend. This provides opportunities and challenges for the development of Ideological and political education in Colleges and universities. Inter subjectivity ideological and political education is the frontier issue in the discipline of Ideological and political education, which embodies the Marxist theory of subject human and the Marxist concept of communication practice. In the era of new media, the research on the ideological and political education among the main bodies of colleges and universities is a reasonable choice to conform to the trend of the times. Ideological and political education in Colleges and universities can be effectively developed on the platform of new media.

Application Technology of Wireless Computer Network in Intelligent Driving

With the continuous development of wireless network and Internet technologies, research on the application technology of wireless computer networks in intelligent driving has also entered the blowout development stage. The purpose of this paper is to study the application technology of wireless computer networks in intelligent driving. This paper also proposes an optimization solution for wireless vehicle networking in view of the many disadvantages of the traditional traffic law enforcement management system. This article first briefly introduces the concepts of the Internet of Things, the Internet of Vehicles, and wireless systems, analyzes the necessity and feasibility of the fusion of the two technologies, and then proposes a framework for the integration of wireless computer network technology and Internet of Things technology. Various innovative applications of the Internet of Vehicles based on this architecture in intelligent transportation are analyzed and demonstrated. Wireless networked car networking has demonstrated its superiority to a certain extent in the application of several special scenarios, alternative analysis of ETC systems, and optimization of traditional traffic law enforcement management. At the end of this paper, a GA algorithm based on wireless networked vehicle networking applications is proposed. Through the results of the algorithm, it is concluded that the system performance and economic performance of wireless vehicle networking are superior. According to the experimental results, the system developed in this paper can not only solve the vehicle congestion situation, but also reduce the occurrence of traffic accidents.

Railway Transportation Dispatching System Based on Mobile Internet Technology

With the continuous development of mobile communication and Internet technologies, the development and research of software applications based on mobile Internet have also entered the blowout development stage. At the same time, the shortcomings of traditional PC desktop applications, which lack portability, have been gradually enlarged. What has emerged are the rapid development of Web applications and mobile applications, and the emergence of new concepts such as mobile office. To this end, this article studies the design and implementation of a railway transportation dispatching system based on mobile Internet technology. On the basis of the existing office supervision method of the railway supervision company and the on-site supervision method of the supervision engineer, based on the MQTT protocol, it implements the active push of messages, develops basic supervision and to-do tasks modules. During the design and development of this system, the Web end will apply the current popular responsive web development technology to enhance the user’s interactive experience on a variety of different platforms. This system uses an object-oriented analysis method to design the architecture of the railway transportation dispatching system. After a detailed design analysis, a complete set of railway transportation dispatching solutions is proposed.

A grid-search approach for 4D pressure-saturation discrimination

We develop a grid-search-based inversion method to discriminate between changes of pore pressure and water saturation. In this approach, we build a forward model by combining different rock-physics models and we predict grids of time-lapse attributes within a range of pressure and saturation. The time-lapse measurements from the data are matched with these predicted attributes to find the solution. We suggest using the independent time shifts and time-lapse attenuation to stabilize the inversion result. A synthetic example illustrates the advantages of the inversion workflow. The method helps to visualize how pressure and saturation change the elastic properties. This advantage is also useful in quality control and uncertainty analysis. We apply our method to a real underground blowout example in the North Sea area where gas has leaked into two sand layers at different conditions. We find that gas migrated according to the sand structure with the dipping layer leading to faster migration rates. The inversion results indicate that careful data preparation is crucial, not only to obtain stable inversion performance, but also to capture valuable information when interpreting the blowout development.