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Forecast and Measurements for Reduction of Dust in Demolition Blasting

Zheng Bingxu,Wei Xiaolin

Strategic Study of CAE 2002, Volume 4, Issue 8, Pages 69-73

Abstract:

A series of technical measurements for dust-laying in demolition blasting of building of a sport centerThe comprehensive measurements involve clearage of surface dust, storing up water on floors, moisteningwalls, water bags on roof, high pressure sprinking water film, smoke controlled by dust barreir andForecasting dust with diffusion model of normal distribution and non-border was proposed.Harm of dust pollution to urban district has been reduced ever since the application of the model.

Keywords： demolition blasting dust forecasting reducing dust high pressure sprinking water film environment protection

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Enrichment and transfer of polycyclic aromatic hydrocarbons (PAHs) through dust aerosol generation from

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 1, doi: 10.1007/s11783-023-1610-7

Abstract:

● Compositional patterns of PAHs in dust aerosol vary from soil duringdust generation.

Keywords： Dust aerosols Enrichment factors (EFs) Polycyclic aromatic hydrocarbons (PAHs)

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The Dust Storm Phenomena in Ningxia and the Countermeasures

Gao Qingxia,Ren Zhenhai

Strategic Study of CAE 2002, Volume 4, Issue 2, Pages 16-21

Abstract: observation data from meteorological stations of Ningxia region, the spatial distribution and trend of duststorm phenomena (include dust storm, blowing sand and floating sand) are analyzed.

Keywords： dust storm preventing and controlling dust storm and desertification countermeasures and suggestion blowing

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Correction to: Effect of wood dust type on mechanical properties, wear behavior, biodegradability, and

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 4, Pages 1071-1071 doi: 10.1007/s11709-021-0736-6

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Regional wind power forecasting model with NWP grid data optimized

Zhao WANG, Weisheng WANG, Bo WANG

Frontiers in Energy 2017, Volume 11, Issue 2, Pages 175-183 doi: 10.1007/s11708-017-0471-9

Abstract: To take full advantage of the environmental benefits of wind energy, wind power forecasting has to bePower forecasting for regional wind farm groups is the problem that many power system operators care

Keywords： regional wind power forecasting feature set minimal-redundancy-maximal-relevance (mRMR) principal component

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A comprehensive review and analysis of solar forecasting techniques

Pardeep SINGLA, Manoj DUHAN, Sumit SAROHA

Frontiers in Energy 2022, Volume 16, Issue 2, Pages 187-223 doi: 10.1007/s11708-021-0722-7

Abstract: Solar forecasting plays a vital role in smooth operation, scheduling, and balancing of electricity productionNumerous models and techniques have been developed in short, mid and long-term solar forecasting.This paper analyzes some of the potential solar forecasting models based on various methodologies discussed

Keywords： forecasting techniques hybrid models neural network solar forecasting error metric support vector machine

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Global sources, emissions, transport and deposition of dust and sand and their effects on the climate

Feng Wang, Xueqiu Zhao, Cynthia Gerlein-Safdi, Yue Mu, Dongfang Wang, Qi Lu

Frontiers of Environmental Science & Engineering 2017, Volume 11, Issue 1, doi: 10.1007/s11783-017-0904-z

Abstract: Dust and Sand Storms (DSS) originating in deserts in arid and semi-arid regions are events raising globalAn important component of atmospheric aerosols, dust aerosols play a key role in climatic and environmentalDust aerosols are mainly composed of dust particles with an average diameter of 2 m, which can be transportedDust deposition is an important source of both marine nutrients and contaminants.In addition, the carbonates carried by dust aerosols are an important source of carbon for the alkaline

Keywords： Dust and sand storm Climate effects Radiative forcing Cloud condensation nuclei Precipitation Iron fertilizer

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Wind profiler radar to monitor the dust weather

Wei Wenshou,Wang Minzhong,He Qing

Strategic Study of CAE 2012, Volume 14, Issue 10, Pages 51-56

Abstract: Meteorological Administration (CMA) carried out an atmospheric scientific experiment on the detection of dustpaper analyzes the characteristics of the horizontal wind field and vertical velocity of a breaking duststorm, blowing sand and floating dust weather, and discusses the atmospheric dust counts/concentrationIt captures the beginning and ending of a dust weather process as well as monitors the sand and dustthat of floating dustis -15~-3 dBZ, indicating that the dust echo intensity is significantly weaker

Keywords： wind profiler radar dust weather echo intensity monitoring

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Conceptual study on incorporating user information into forecasting systems

Jiarui HAN, Qian YE, Zhongwei YAN, Meiyan JIAO, Jiangjiang XIA

Frontiers of Environmental Science & Engineering 2011, Volume 5, Issue 4, Pages 533-542 doi: 10.1007/s11783-010-0246-6

Abstract: An ideal forecasting system would incorporate user-end information.community has begun to realize that while general improvements to the physical characteristics of weather forecastingThe weather forecasting system should include user interaction because user needs may change with differentA study was conducted on the conceptual forecasting system that included a dynamic, user-oriented interactiveinteractive grand global ensemble) project in China, a case study that was conducted to test the new forecasting

Keywords： user-end information user-oriented interactive forecasting system TIGGE (THORPEX interactive grand global

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Study on the Design of Removable Grain Bed Dust Remover

Lv Baohe

Strategic Study of CAE 2007, Volume 9, Issue 10, Pages 45-48

Abstract:

The characteristics of the removable grain bed dust remover are analyzedand it has been compared with traditional dust removers.calculations of main configuration parameters and main performance parameters of the removable grain bed dust

Keywords： removable grain bed dust remover configuration parameter performance parameter

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Analysis of US National Research Council’s Persistent Forecasting System of Disruptive Technologies

Zhang Xiaolin

Strategic Study of CAE 2018, Volume 20, Issue 6, Pages 117-121 doi: 10.15302/J-SSCAE-2018.06.019

Abstract:

The National Research Council’s (NRC) report on Persistent Forecastingof Disruptive Technologies analyzes the key issues of disruptive technology forecasting and proposesan ideal persistent forecasting system model.On this basis, the paper summarizes the connotation and challenges of disruptive technology forecastingFinally, the enlightenment of the research on disruptive technology forecasting is proposed, thus to

Keywords： disruptive technologies persistent forecasting ideal forecasting system

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Day-ahead electricity price forecasting using back propagation neural networks and weighted least square

S. Surender REDDY,Chan-Mook JUNG,Ko Jun SEOG

Frontiers in Energy 2016, Volume 10, Issue 1, Pages 105-113 doi: 10.1007/s11708-016-0393-y

Abstract: This paper proposes the day-ahead electricity price forecasting using the artificial neural networksPrice forecasting is very important for online trading, e-commerce and power system operation.data for the electricity price forecasting tool.The data used for this price forecasting is obtained from the PJM website.forecasting approach.

Keywords： day-ahead electricity markets price forecasting load forecasting artificial neural networks load serving

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Study on the Removal Technology of the Respirable Dust inthe Metallurgy Industry

Zou Shenghua,Li Gang, Li Kongqing

Strategic Study of CAE 2007, Volume 9, Issue 11, Pages 196-199

Abstract: text-align: justify;">This article attempts to analyze the characteristics and hazards of the respirable dust, and introduces the new technologies for respirable dust prevention and control at home and aboard inBased on analyzing and comparing with different technologies of reducing dust, the results show thatcharged fog with wetting agent is a high- efficiency technology for the removal of the respirable dustit obtains ideal effect when this dedusting technology is applied to the removal of the respirable dust

Keywords： srespirable dust wetting agent ultrasonic atomization magnetic water charged fog dust cleaningeffect

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Forecasting industrial emissions: a monetary approach

Yang DONG, Yi LIU, Jining CHEN, Yebin DONG, Benliang QU

Frontiers of Environmental Science & Engineering 2012, Volume 6, Issue 5, Pages 734-742 doi: 10.1007/s11783-012-0451-6

Abstract: Forecasts of industrial emissions provide a basis for impact assessment and development planning. To date, most studies have assumed that industrial emissions are simply coupled to production value at a given stage of technical progress. It has been argued that the monetary method tends to overestimate pollution loads because it is highly influenced by market prices and fails to address spatial development schemes. This article develops a land use-based environmental performance index (L-EPI) that treats the industrial land areas as a dependent variable for pollution emissions. The basic assumption of the method is that at a planning level, industrial land use change can represent the change in industrial structure and production yield. This physical metric provides a connection between the state-of-the-art and potential impacts of future development and thus avoids the intrinsic pitfalls of the industrial Gross Domestic Product-based approach. Both methods were applied to examine future industrial emissions at the planning area of Dalian Municipality, North-west China, under a development scheme provided by the urban master plan. The results suggested that the L-EPI method is highly reliable and applicable for the estimation and explanation of the spatial variation associated with industrial emissions.

Keywords： industrial emissions environmental performance index spatial planning industrial land use

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Intelligent Forecasting Mode and Approach of Mid and Long Term Intelligent Hydrological Forecasting

Chen Shouyu,Guo Yu,Wang Dagang

Strategic Study of CAE 2006, Volume 8, Issue 7, Pages 30-35

Abstract: synthesizes fuzzy optimal selection, BP neural network and genetic algorithm and establishes intelligent forecastingamount of training samples, and gets relative membership degree matrix according to the correlation of forecastingfactors and forecasting objective, then takes the matrix as input of BP neural network to train link-weights, and finally, uses gained link-weight values to verify forecasting.results are highly promising and show that the operation speed, precision and stability of intelligent forecasting

Keywords： fuzzy optimal selection BP neural network genetic algorithm intelligent forecasting mode mid and longterm intelligent hydrological forecasting