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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 forecasting, presents the attributes of the ideal persistent forecasting system, and analyzes the system model and

Keywords： disruptive technologies     persistent forecasting     ideal forecasting system    

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Predictive models on photolysis and photoinduced toxicity of persistent organic chemicals

Qing ZHANG

Frontiers of Environmental Science & Engineering 2013, Volume 7, Issue 6,   Pages 803-814 doi: 10.1007/s11783-013-0547-7

Abstract: Photodegradation is a major abiotic transformation pathway of toxic chemicals in the environment, which in some cases might lead to photoinduced toxicities. The data on photodegradation kinetics and photoinduced toxicities of organic chemicals are essential for their risk assessment. However, the relevant data are only available for a limited number of chemicals, due to the difficulty and high cost of experimental determination. Quantitative structure-activity relationship (QSAR) models that relate photodegradation kinetics or photoinduced toxicity of organic chemicals with their physicochemical properties or molecular structural descriptors may enable simple and fast estimation of their photochemical behaviors. This paper reviews the QSAR models on photodegradation quantum yields and rate constants for toxic organic chemicals in different media including liquid phase, gaseous phase, surfaces of plant leaves, and QSAR models on photoinduced toxicity of organic chemicals to plants, bacteria, and aquatic invertebrates. Further prospects for QSAR model development on photodegradation kinetics and photoinduced toxicity of refractory organic chemicals are proposed.

Keywords： quantitative structure-activity relationship (QSAR) models     photodegradation     persistent organic pollutants    

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Characterization of bacterial communities during persistent fog and haze events in the Qingdao coastal

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 3, doi: 10.1007/s11783-020-1334-x

Abstract:

• Light haze had little effect on bacterial communities.

Keywords： Bacterial community     Persistent fog and haze     Particle size    

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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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Addressing the environmental risk of persistent organic pollutants in China

Bin WANG, Jun HUANG, Shubo DENG, Xiaoling YANG, Gang YU

Frontiers of Environmental Science & Engineering 2012, Volume 6, Issue 1,   Pages 2-16 doi: 10.1007/s11783-011-0370-y

Abstract: The Stockholm Convention on persistent organic pollutants (POPs) was adopted in 2001.

Keywords： persistent organic pollutant (POPs)     environmental risk assessment     inventory     environmental monitoring    

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Decontamination of Cr(VI) facilitated formation of persistent free radicals on rice husk derived biochar

Kaikai Zhang, Peng Sun, Yanrong Zhang

Frontiers of Environmental Science & Engineering 2019, Volume 13, Issue 2, doi: 10.1007/s11783-019-1106-7

Abstract:

PFRs were produced on biochar during Cr(VI) decontamination.

PFRs formation on biochar was owing to the oxidization of phenolic-OH by Cr(VI).

Appearance of excessive oxidant led to the consumption of PFRs on biochar.

Biochar charred at high temperature possessed great performance to Cr(VI) removal.

Keywords： Biochar     Persistent free radicals     Phenolic hydroxyl groups     Cr(VI) reduction    

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Persistent free radicals in humin under redox conditions and their impact in transforming polycyclic

Hanzhong Jia, Yafang Shi, Xiaofeng Nie, Song Zhao, Tiecheng Wang, Virender K. Sharma

Frontiers of Environmental Science & Engineering 2020, Volume 14, Issue 4, doi: 10.1007/s11783-020-1252-y

Abstract: The role of humic substance-associated persistent free radicals (PFRs) in the fate of organic contaminants

Keywords： Humic substance     Polycyclic aromatic hydrocarbons (PAHs)     Persistent free radicals (PFRs)     Redox     Reactive    

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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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Light-induced variation in environmentally persistent free radicals and the generation of reactive radical

Yafang Shi, Yunchao Dai, Ziwen Liu, Xiaofeng Nie, Song Zhao, Chi Zhang, Hanzhong Jia

Frontiers of Environmental Science & Engineering 2020, Volume 14, Issue 6, doi: 10.1007/s11783-020-1285-2

Abstract: Environmentally persistent free radicals (EPFRs) in humic substances play an essential role in soil geochemical

Keywords： Peat     Humic substances     Environmentally persistent free radicals     Light irradiation     Reactive radical species    

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Perfluoroalkane acids in human milk under the global monitoring plan of the Stockholm Convention on Persistent

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 10, doi: 10.1007/s11783-022-1541-8

Abstract:

● Perfluorooctanesulfonic acid and perfluorooctanoic acid highest in human milk.

Keywords： Human biomonitoring     Human breast milk     LC-MS/MS analysis     Lifestyle parameters    

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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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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    

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Endosulfan in the Chinese environment: monitoring and modeling

Hongliang JIA, Liyan LIU, Yeqing SUN, Daoji CAI, Jianxin HU, Nanqi REN, Yifan LI

Frontiers of Environmental Science & Engineering 2012, Volume 6, Issue 1,   Pages 32-44 doi: 10.1007/s11783-011-0375-6

Abstract: This paper reviews the usage and emissions of endosulfan, the newest member of the persistent organic

Keywords： endosulfan     monitoring     modeling     inventories     persistent organic pollutants     persistent organic pollutants    

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Title Author Date Type Operation

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

Zhang Xiaolin

Journal Article

Predictive models on photolysis and photoinduced toxicity of persistent organic chemicals

Qing ZHANG

Journal Article

Characterization of bacterial communities during persistent fog and haze events in the Qingdao coastal

Journal Article

Regional wind power forecasting model with NWP grid data optimized

Zhao WANG, Weisheng WANG, Bo WANG

Journal Article

A comprehensive review and analysis of solar forecasting techniques

Pardeep SINGLA, Manoj DUHAN, Sumit SAROHA

Journal Article

Addressing the environmental risk of persistent organic pollutants in China

Bin WANG, Jun HUANG, Shubo DENG, Xiaoling YANG, Gang YU

Journal Article

Decontamination of Cr(VI) facilitated formation of persistent free radicals on rice husk derived biochar

Kaikai Zhang, Peng Sun, Yanrong Zhang

Journal Article

Persistent free radicals in humin under redox conditions and their impact in transforming polycyclic

Hanzhong Jia, Yafang Shi, Xiaofeng Nie, Song Zhao, Tiecheng Wang, Virender K. Sharma

Journal Article

Conceptual study on incorporating user information into forecasting systems

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

Journal Article

Light-induced variation in environmentally persistent free radicals and the generation of reactive radical

Yafang Shi, Yunchao Dai, Ziwen Liu, Xiaofeng Nie, Song Zhao, Chi Zhang, Hanzhong Jia

Journal Article

Perfluoroalkane acids in human milk under the global monitoring plan of the Stockholm Convention on Persistent

Journal Article

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

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

Journal Article

Forecasting industrial emissions: a monetary approach

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

Journal Article

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

Chen Shouyu,Guo Yu,Wang Dagang

Journal Article

Endosulfan in the Chinese environment: monitoring and modeling

Hongliang JIA, Liyan LIU, Yeqing SUN, Daoji CAI, Jianxin HU, Nanqi REN, Yifan LI

Journal Article