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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:

Intelligent calculating tools such as fuzzy optimization approaches, BP neural network and geneticorganically synthesizes fuzzy optimal selection, BP neural network and genetic algorithm and establishes intelligentforecasting mode and method.When illustrating the method by an application to forecast mid and long term hydrological process ofThe results are highly promising and show that the operation speed, precision and stability of intelligent

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

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Evaluation of the impact of multi-source uncertainties on meteorological and hydrological ensemble forecasting Article

Zhangkang Shu, Jianyun Zhang, Lin Wang, Junliang Jin, Ningbo Cui, Guoqing Wang, Zhouliang Sun, Yanli Liu, Zhenxin Bao, Cuishan Liu

Engineering 2023, Volume 24, Issue 5,   Pages 213-229 doi: 10.1016/j.eng.2022.06.007

Abstract:

Evaluating the impact of multi-source uncertainties in complex forecasting systems is essential toforecasting systems.system was more significant than the hydrological model uncertainty.The hydrological model structure uncertainty was more prominent than the parameter uncertainty.forecasting system.

Keywords： Meteorological and hydrological forecasting     Uncertainty estimation     Bayesian model averaging     Ensemble    

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Modeling of hydrological processes in arid agricultural regions

Jiang LI,Xiaomin MAO,Shaozhong KANG,David A. BARRY

Frontiers of Agricultural Science and Engineering 2015, Volume 2, Issue 4,   Pages 283-294 doi: 10.15302/J-FASE-2015076

Abstract: Understanding of hydrological processes, including consideration of interactions between vegetation growthModels can be categorized into three classes: (1) regional distributed hydrological models with various

Keywords： hydrological processes     irrigation area     SPAC     crop growth     groundwater     canal seepage    

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Research progress in pathogenic genes of hereditary non-syndromic mid-frequency deafness

Wenjun Xia,Fei Liu,Duan Ma

Frontiers of Medicine 2016, Volume 10, Issue 2,   Pages 137-142 doi: 10.1007/s11684-016-0449-8

Abstract: of the frequency of hearing loss, hereditary non-syndromic hearing loss can be divided into high-, midAn audiometric finding of mid-frequency sensorineural hearing loss, or a “bowl-shaped” audiogramUp to now, merely 7 loci have been linked to mid-frequency hearing loss.Only four genetic mid-frequency deafness genes, namely, DFNA10 (EYA4), DFNA8/12 (TECTA)This review summarizes the research progress of the four genes to draw attention to mid-frequency deafness

Keywords： hereditary non-syndromic hearing loss     mid-frequency hearing loss     deafness genes    

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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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Effects of land use change on hydrological cycle from forest to upland field in a catchment, Japan

Chuan ZHANG, Keiji TAKASE, Hiroki OUE, Nobuhiro EBISU, Haofang YAN

Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 4,   Pages 456-465 doi: 10.1007/s11709-013-0218-6

Abstract: Understanding the effects of land use change on the hydrological cycle is very important for developmentIn this study, soil and hydrological properties in an upland field catchment, which was reclaimed partiallyFurthermore, a semi-distributed hydrological model was applied in the upland field catchment to understandthe integrated effects of reclamation on the hydrological cycle.

Keywords： land-use change     hydrological processes     upland field catchment     forest catchment     semi-distributed hydrological    

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Experimental study on seismic behavior of mid-rise RC shear wall with concealed truss

Wanlin CAO, Jianwei ZHANG, Jingna ZHANG, Min WANG,

Frontiers of Structural and Civil Engineering 2009, Volume 3, Issue 4,   Pages 370-377 doi: 10.1007/s11709-009-0062-x

Abstract: In this paper, mid-rise shear wall with concealed truss was proposed.The experimental study on the seismic behavior of six 1/3 scale mid-rise shear walls, including an ordinarymid-rise shear wall, a mid-rise shear wall with steel frame, and four mid-rise shear wall with concealedThe experimental results show that the seismic behavior of the mid-rise shear wall with steel frame and

Keywords： reinforced concrete     profile steel     concealed truss     mid-rise shear wall     seismic behavior    

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A review of hydrological/water-quality models

Liangliang GAO,Daoliang LI

Frontiers of Agricultural Science and Engineering 2014, Volume 1, Issue 4,   Pages 267-276 doi: 10.15302/J-FASE-2014041

Abstract: Water quality models are important in predicting the changes in surface water quality for environmental management. A range of water quality models are wildly used, but every model has its advantages and limitations for specific situations. The aim of this review is to provide a guide to researcher for selecting a suitable water quality model. Eight well known water quality models were selected for this review: SWAT, WASP, QUALs, MIKE 11, HSPF, CE-QUAL-W2, ELCOM-CAEDYM and EFDC. Each model is described according to its intended use, development, simulation elements, basic principles and applicability (e.g., for rivers, lakes, and reservoirs and estuaries). Currently, the most important trends for future model development are: (1) combination models—individual models cannot completely solve the complex situations so combined models are needed to obtain the most appropriate results, (2) application of artificial intelligence and mechanistic models combined with non-mechanistic models will provide more accurate results because of the realistic parameters derived from non-mechanistic models, and (3) integration with remote sensing, geographical information and global position systems (3S) —3S can solve problems requiring large amounts of data.

Keywords： water quality models     applications     future trends    

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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 interactiveseason, changing thresholds for flood-inducing rainfall that were responsive to previous weather and hydrological

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

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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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A survey of decorative materials on the energy consumption of mid-rise residential buildings in Mashad

Masoud Taheri SHAHRAEIN, Lihua ZHAO, Qinglin MENG

Frontiers of Structural and Civil Engineering 2010, Volume 4, Issue 4,   Pages 490-497 doi: 10.1007/s11709-010-0068-4

Abstract: Polyvinylchloride (PVC) panel is one of the most favorite decorative materials that has been popularly applied as finishing of ceiling in residential buildings. It is about five years that the people incline to redecorate the ceiling of old buildings with PVC panel in big cities of Iran, such as Mashad. In this study, the influence of ceiling PVC panel on the cooling and heating loads of studied apartment were determined by software DeST-h. In addition, the summer natural ventilation of the mentioned apartment is investigated by determining the wind speed into the apartment through the computational fluid dynamics (CFD) software. The evaluation of environment indoor wind velocity showed that most of the apartment space is a comfortable zone. The results of studied building analyses demonstrated that using PVC panel on the ceiling can decline the energy consumption of the penthouse (fifth level) of the investigated building, which is about 3.7% and 7% for studied methods of without and with air layer, respectively. In addition, although the existence of air layer can decline the cooling and heating loads, the increase in air layer thickness did not show significant decrease on building energy consumption. However, the PVC panel is expensive and is not suitable to be used for ceiling thermal insulation, but adding a thin layer of air between ceiling and PVC panel can be a good step toward sustainable building, when the people are inclined to utilize it as a decorative ceiling.

Keywords： residential apartments     natural ventilation     energy consumption     decorative materials     Mashad    

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Synthesis of mid-dicarboxy polystyrene by ATRP and formation of ionic-bonded supramolecules

YU Tao, WANG Yun, LU Dairen, BAI Ruke, LU Weiqi

Frontiers of Chemical Science and Engineering 2007, Volume 1, Issue 2,   Pages 140-145 doi: 10.1007/s11705-007-0026-4

Abstract: A well-defined novel structural polystyrene containing two ester groups in the mid-main chain was prepared

Keywords： controlled molecular     conversion     bromination     relationship     isophthalate    

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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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Corrigendum to ‘‘A Comparison of SWAT Model Calibration Techniques for Hydrological Modeling in the Ganga Corrigendum

Nikita Shivhare, Prabhat Kumar Singh Dikshit, Shyam Bihari

Engineering 2019, Volume 5, Issue 1,   Pages 181-181 doi: 10.1016/j.eng.2018.11.009

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Title Author Date Type Operation

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

Chen Shouyu,Guo Yu,Wang Dagang

Journal Article

Evaluation of the impact of multi-source uncertainties on meteorological and hydrological ensemble forecasting

Zhangkang Shu, Jianyun Zhang, Lin Wang, Junliang Jin, Ningbo Cui, Guoqing Wang, Zhouliang Sun, Yanli Liu, Zhenxin Bao, Cuishan Liu

Journal Article

Modeling of hydrological processes in arid agricultural regions

Jiang LI,Xiaomin MAO,Shaozhong KANG,David A. BARRY

Journal Article

Research progress in pathogenic genes of hereditary non-syndromic mid-frequency deafness

Wenjun Xia,Fei Liu,Duan Ma

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

Effects of land use change on hydrological cycle from forest to upland field in a catchment, Japan

Chuan ZHANG, Keiji TAKASE, Hiroki OUE, Nobuhiro EBISU, Haofang YAN

Journal Article

Experimental study on seismic behavior of mid-rise RC shear wall with concealed truss

Wanlin CAO, Jianwei ZHANG, Jingna ZHANG, Min WANG,

Journal Article

A review of hydrological/water-quality models

Liangliang GAO,Daoliang LI

Journal Article

Conceptual study on incorporating user information into forecasting systems

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

Journal Article

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

Zhang Xiaolin

Journal Article

A survey of decorative materials on the energy consumption of mid-rise residential buildings in Mashad

Masoud Taheri SHAHRAEIN, Lihua ZHAO, Qinglin MENG

Journal Article

Synthesis of mid-dicarboxy polystyrene by ATRP and formation of ionic-bonded supramolecules

YU Tao, WANG Yun, LU Dairen, BAI Ruke, LU Weiqi

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

Corrigendum to ‘‘A Comparison of SWAT Model Calibration Techniques for Hydrological Modeling in the Ganga

Nikita Shivhare, Prabhat Kumar Singh Dikshit, Shyam Bihari

Journal Article