Search scope:
排序: Display mode:
Fan ZHANG, Mo LI, Shanshan GUO, Chenglong ZHANG, Ping GUO
Frontiers of Agricultural Science and Engineering 2018, Volume 5, Issue 2, Pages 177-187 doi: 10.15302/J-FASE-2017177
Keywords: crop planting structure optimization inexact two-stage stochastic programming runoff forecasting Shiyang
A rain-on-snow mixed flood forecast model and its application
Jian WU, Lan LI,
Frontiers of Structural and Civil Engineering 2009, Volume 3, Issue 4, Pages 440-444 doi: 10.1007/s11709-009-0051-0
Keywords: Xinjiang Autonomous forecasting hydrology temperature rain-on-snow runoff-generation
Pesticides in stormwater runoff−A mini review
Cheng Chen, Wenshan Guo, Huu Hao Ngo
Frontiers of Environmental Science & Engineering 2019, Volume 13, Issue 5, doi: 10.1007/s11783-019-1150-3
Keywords: Pesticide Stormwater runoff Occurrence Urban runoff
Qian Wang, Qionghua Zhang, Mawuli Dzakpasu, Nini Chang, Xiaochang Wang
Frontiers of Environmental Science & Engineering 2019, Volume 13, Issue 1, doi: 10.1007/s11783-019-1091-x
Ratio of turbidity and TSS (Tur/TSS) was used to characterize PSD of stormwater particles. Pb and Zn preferred to accumulate in finer RDS, while Cu, Cr and Ni in coarser RDS. HMs pollution in stormwater particles increased linearly with Tur/TSS. Dissolvability of HMs and PSD variations contribute to the differences between RDS and stormwater.
Keywords: Road-deposited sediment Stormwater runoff Heavy metal Particle size Pollution variation
Advances in LID BMPs research and practice for urban runoff control in China
Haifeng JIA, Hairong YAO, Shaw L. YU
Frontiers of Environmental Science & Engineering 2013, Volume 7, Issue 5, Pages 709-720 doi: 10.1007/s11783-013-0557-5
Keywords: urbanization urban runoff control Low Impact Development type of Best Management Practices (LID BMPs)
Removal of non-point pollutants from bridge runoff by a hydrocyclone using natural water head
Jianghua YU, Yeonseok KIM, Youngchul KIM
Frontiers of Environmental Science & Engineering 2013, Volume 7, Issue 6, Pages 886-895 doi: 10.1007/s11783-012-0449-0
Keywords: first flush hydrocyclone non-point pollution removal efficiency stormwater runoff
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
Keywords: regional wind power forecasting feature set minimal-redundancy-maximal-relevance (mRMR) principal component
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
Keywords: forecasting techniques hybrid models neural network solar forecasting error metric support vector machine
Jinliang HUANG, Zhenshun TU, Pengfei DU, Qingsheng LI, Jie LIN
Frontiers of Environmental Science & Engineering 2012, Volume 6, Issue 4, Pages 531-539 doi: 10.1007/s11783-010-0287-x
Keywords: rainfall runoff first flush pollution characteristics urban lawn catchment
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
Keywords: user-end information user-oriented interactive forecasting system TIGGE (THORPEX interactive grand global
ENHANCING RAINFALL-RUNOFF POLLUTION MODELING BY INCORPORATION OF NEGLECTED PHYSICAL PROCESSES
Frontiers of Agricultural Science and Engineering 2023, Volume 10, Issue 4, Pages 553-565 doi: 10.15302/J-FASE-2023519
The growing need to mitigate rainfall-runoff pollution, especially first flush, calls for accurateThe wash-off model has advantages in modeling rainfall-runoff pollution due to the inclusion of two keyHowever, this disregards pollution load from wet precipitation and the relationship between rainfall and runoffSCS-CN) into the wash-off model and added pollutant load from wet precipitation to enhance the rainfall-runoffFrom this, it was found that 12% of the total runoff contained 80% to 95% of the total load for chemical
Keywords: Erhai Lake field experiment non-point source pollution load rainfall runoff wash-off model
Shufang WU, Pute WU, Hao FENG, G. P. Merkley
Frontiers of Environmental Science & Engineering 2011, Volume 5, Issue 1, Pages 76-83 doi: 10.1007/s11783-011-0282-x
Keywords: alfalfa soil erosion runoff and sedimentation soil water infiltration overland flow hydrodynamic characteristics
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
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
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
Keywords: day-ahead electricity markets price forecasting load forecasting artificial neural networks load serving
Enhanced LSTM Model for Daily Runoff Prediction in the Upper Huai River Basin, China Article
Yuanyuan Man, Qinli Yang, Junming Shao, Guoqing Wang, Linlong Bai, Yunhong Xue
Engineering 2023, Volume 24, Issue 5, Pages 230-239 doi: 10.1016/j.eng.2021.12.022
Runoff prediction is of great significance to flood defense.However, due to the complexity and randomness of the runoff process, it is hard to predict daily runoffaccurately, especially for peak runoff.To address this issue, this study proposes an enhanced long short-term memory (LSTM) model for runoff's prediction while weakening the weight of the normal runoff's prediction.
Keywords: Runoff prediction Long short-term memory Upper Huai River Basin Extreme runoff Loss function
Title Author Date Type Operation
Integrated uncertain models for runoff forecasting and crop planting structure optimization of the Shiyang
Fan ZHANG, Mo LI, Shanshan GUO, Chenglong ZHANG, Ping GUO
Journal Article
Transferral of HMs pollution from road-deposited sediments to stormwater runoff during transport processes
Qian Wang, Qionghua Zhang, Mawuli Dzakpasu, Nini Chang, Xiaochang Wang
Journal Article
Advances in LID BMPs research and practice for urban runoff control in China
Haifeng JIA, Hairong YAO, Shaw L. YU
Journal Article
Removal of non-point pollutants from bridge runoff by a hydrocyclone using natural water head
Jianghua YU, Yeonseok KIM, Youngchul KIM
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
Analysis of rainfall runoff characteristics from a subtropical urban lawn catchment in South-east China
Jinliang HUANG, Zhenshun TU, Pengfei DU, Qingsheng LI, Jie LIN
Journal Article
Conceptual study on incorporating user information into forecasting systems
Jiarui HAN, Qian YE, Zhongwei YAN, Meiyan JIAO, Jiangjiang XIA
Journal Article
ENHANCING RAINFALL-RUNOFF POLLUTION MODELING BY INCORPORATION OF NEGLECTED PHYSICAL PROCESSES
Journal Article
Effects of alfalfa coverage on runoff, erosion and hydraulic characteristics of overland flow on loess
Shufang WU, Pute WU, Hao FENG, G. P. Merkley
Journal Article
Analysis of US National Research Council’s Persistent Forecasting System of Disruptive Technologies
Zhang Xiaolin
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