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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

Abstract:

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.'s prediction while weakening the weight of the normal runoff's prediction.The enhanced LSTM with PES as loss function performed best on extreme runoff prediction with a mean NSE

Keywords： Runoff prediction     Long short-term memory     Upper Huai River Basin     Extreme runoff     Loss function    

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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

Abstract: • The sources and pathways of pesticides into stormwater runoff were diverse. • Factors affecting pesticidesin stormwater runoff were critically reviewed. • Pesticides mitigation strategies were included in thisreview. • The current knowledge gap of the pesticides in stormwater runoff was identified.This paper reviewed the presence of pesticides in stormwater runoff in both rural and urban areas.Influential factors affecting pesticides in stormwater runoff were critically identified as: 1) characteristics

Keywords： Pesticide     Stormwater runoff     Occurrence     Urban runoff    

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strength prediction and optimization design of sustainable concrete based on squirrel search algorithm-extreme

Frontiers of Structural and Civil Engineering   Pages 1310-1325 doi: 10.1007/s11709-023-0997-3

Abstract: traditional compressive strength test, this study combines five novel metaheuristic algorithms with extremeThe results indicated that the squirrel search algorithm-extreme gradient boosting (SSA-XGB) yielded

Keywords： sustainable concrete     fly ash     slay     extreme gradient boosting technique     squirrel search algorithm    

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Transferral of HMs pollution from road-deposited sediments to stormwater runoff during transport processes

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

Abstract:

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    

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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

Abstract: In particular, urban runoff quantity and quality control have emerged as one of the key concerns foruse of a Low Impact Development type of Best Management Practices (LID BMPs) for urban storm water runoffIn this paper, the situation surrounding urban runoff control in China is reviewed first.The LID BMPs are then introduced to control urban runoff in the context of urban sustainable water systemscomprehensive analysis of the various LID BMPs, the advances in LID BMPs research and practice for urban runoff

Keywords： urbanization     urban runoff control     Low Impact Development type of Best Management Practices (LID BMPs)    

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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

Abstract: hydrocyclone using natural water head provided by bridge was operated for the treatment of stormwater runoffThe analysis of the water budget indicated that around 13% of the total runoff was captured by the hydrocycloneas a first flush, and this runoff was separated as underflow and overflow with the respective percentagefirst flush as solids-concentrated underflow and solids-absent overflow, and effectively reduced the runoff

Keywords： first flush     hydrocyclone     non-point pollution     removal efficiency     stormwater runoff    

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Extreme weather/climate events and disaster prevention and mitigation under global warming background

Zhai Panmao,Liu Jing

Strategic Study of CAE 2012, Volume 14, Issue 9,   Pages 55-63

Abstract:

The definitions of extreme weather/climate events and "climate extremeOn the basis of classifying the extreme events into four categories (namely extremes caused by variationssingle variable, events related to weather phenomena,compound events and climate extremes), the related extremeMeanwhile, it is also necessary to strengthen engineering defense measures based on changes in extreme

Keywords： extreme climate indices     high impacts     meteorological disasters     engineering    

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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

Frontiers of Environmental Science & Engineering 2012, Volume 6, Issue 4,   Pages 531-539 doi: 10.1007/s11783-010-0287-x

Abstract: Characteristics of rainfall runoff from a 3.26?Water quality and quantity measurements of rainfall runoff were conducted for ten rainfall events overdistinctive first-flush effects except for the rainfall events with the longest rainfall duration and largest runoffvolume, which was verified by the fact that the first 30% runoff volume (FF30) carried 39.36% of theMultivariate regression analysis further demonstrated that the total runoff volume had a positive correlation

Keywords： rainfall runoff     first flush     pollution characteristics     urban lawn catchment    

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Concrete corrosion in wastewater systems: Prediction and sensitivity analysis using advanced extreme

Mohammad ZOUNEMAT-KERMANI, Meysam ALIZAMIR, Zaher Mundher YASEEN, Reinhard HINKELMANN

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 2,   Pages 444-460 doi: 10.1007/s11709-021-0697-9

Abstract: The models include three different types of extreme learning machines, including the standard, onlinesequential, and kernel extreme learning machines, in addition to the artificial neural network, classificationThe online sequential extreme learning machine model demonstrated superior performance over the other

Keywords： sewer systems     environmental engineering     data-driven methods     sensitivity analysis    

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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

Abstract:

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    

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Effects of alfalfa coverage on runoff, erosion and hydraulic characteristics of overland flow on loess

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

Abstract: An experiment was conducted to study water infiltration, runoff generation process, rate of sedimentThe effect of alfalfa on runoff and sediment transport reduction was quantitatively analyzed.Alfalfa was discussed for its ability to reduce the overland flow scouring force or change the runoffIn addition, alfalfa had a significant effect on runoff and sediment yield.The runoff generated from the alfalfa and bare-soil plots had similar trends with an initial increase

Keywords： alfalfa     soil erosion     runoff and sedimentation     soil water infiltration     overland flow     hydrodynamic characteristics    

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Integrated uncertain models for runoff forecasting and crop planting structure optimization of the Shiyang

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

Abstract: To improve the accuracy of runoff forecasting, an uncertain multiple linear regression (UMLR) model isThe developed system, in which the UMLR model for runoff forecasting and the ITSP model for crop plantingsystem is to optimize crops planting area with limited available water resources base on the downstream runoff

Keywords： crop planting structure optimization     inexact two-stage stochastic programming     runoff forecasting     Shiyang    

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Ammonia and phosphorus removal from agricultural runoff using cash crop waste-derived biochars

Alisa Salimova, Jian’e Zuo, Fenglin Liu, Yajiao Wang, Sike Wang, Konstantin Verichev

Frontiers of Environmental Science & Engineering 2020, Volume 14, Issue 3, doi: 10.1007/s11783-020-1225-1

Abstract: . • The real runoff experiment showed an ammonia nitrogen removal rate of about 80%. • The removal rateof total phosphorus in real runoff experiment was about 95%.cash crop residuals is an economical and practical technology for removing nutrients from agricultural runoffThe simulated runoff infiltration experiment showed that 97.3% of ammonia was removed by Al-modified

Keywords： Biochar     Adsorption     Ammonia removal     Phosphorus removal     Agricultural runoff    

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compressive strength of concrete containing micro-silica, nano-silica, and polypropylene fibers using extreme

Fatemeh ZAHIRI, Hamid ESKANDARI-NADDAF

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 4,   Pages 821-830 doi: 10.1007/s11709-019-0518-6

Abstract: Many studies have evaluated the effects of additives such as nano-silica (NS), micro-silica (MS) and polymer fibers on optimizing the mechanical properties of concrete, such as compressive strength. Nowadays, with progress in cement industry provides, it has become possible to produce cement type I with strength classes of 32.5, 42.5, and 52.5 MPa. On the one hand, the microstructure of cement has changed, and modified by NS, MS, and polymers; therefore it is very important to determine the optimal percentage of each additives for those CSCs. In this study, 12 mix designs containing different percentages of MS, NS, and polymer fibers in three cement strength classes(CSCs) (32.5, 42.5, and 52.5 MPa) were designed and constructed based on the mixture method. Results indicated the sensitivity of each CSCs can be different on the NS or MS in compressive strength of concrete. Consequently, strength classes have a significant effect on the amount of MS and NS in mix design of concrete. While, polymer fibers don’t have significant effect in compressive strength considering CSCs.

Keywords： mixture method     compressive strength     nano-silica     micro-silica     polypropylene fibers    

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Liquid metal enabled combinatorial heat transfer science: toward unconventional extreme cooling

Xiao-Hu YANG, Jing LIU

Frontiers in Energy 2018, Volume 12, Issue 2,   Pages 259-275 doi: 10.1007/s11708-017-0521-3

Abstract: technologies and further advance the liquid metal cooling to an ever higher level in tackling more extreme

Keywords： combinatorial heat transfer     liquid metal     high flux cooling     thermal management    

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Title Author Date Type Operation

Enhanced LSTM Model for Daily Runoff Prediction in the Upper Huai River Basin, China

Yuanyuan Man, Qinli Yang, Junming Shao, Guoqing Wang, Linlong Bai, Yunhong Xue

Journal Article

Pesticides in stormwater runoff−A mini review

Cheng Chen, Wenshan Guo, Huu Hao Ngo

Journal Article

strength prediction and optimization design of sustainable concrete based on squirrel search algorithm-extreme

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

Extreme weather/climate events and disaster prevention and mitigation under global warming background

Zhai Panmao,Liu Jing

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

Concrete corrosion in wastewater systems: Prediction and sensitivity analysis using advanced extreme

Mohammad ZOUNEMAT-KERMANI, Meysam ALIZAMIR, Zaher Mundher YASEEN, Reinhard HINKELMANN

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

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

Ammonia and phosphorus removal from agricultural runoff using cash crop waste-derived biochars

Alisa Salimova, Jian’e Zuo, Fenglin Liu, Yajiao Wang, Sike Wang, Konstantin Verichev

Journal Article

compressive strength of concrete containing micro-silica, nano-silica, and polypropylene fibers using extreme

Fatemeh ZAHIRI, Hamid ESKANDARI-NADDAF

Journal Article

Liquid metal enabled combinatorial heat transfer science: toward unconventional extreme cooling

Xiao-Hu YANG, Jing LIU

Journal Article