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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 variationsin a single variable, events related to weather phenomena,compound events and climate extremes), therelated extreme indices as well as their trends and corresponding impacts under the background of globalMeanwhile, 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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Historical Changes and Future Trends of Extreme Precipitation and High Temperature in China

Shu Zhangkang , Li Wenxin, Zhang Jianyun, Jin Junliang, Xue Qing, Wang Yintang, Hu Qingfang, Wang Guoqing

Strategic Study of CAE 2022, Volume 24, Issue 5,   Pages 116-125 doi: 10.15302/J-SSCAE-2022.05.014

Abstract: a theoretical basis for formulating regional strategies that adapt to climate change.Using the CN05.1 grid meteorological data and eleven global climate models based on Coupled Model IntercomparisonUnder SSP1-2.6 and SSP5-8.5 climate change scenarios, extreme precipitation in China will generallyUnder the SSP1-2.6 and SSP5-8.5 climate change scenarios, extreme heat events in China will increaseTo mitigate the impact of climate change and cope with the risk of extreme events in the future,

Keywords： climate change     extreme event     CMIP6     extreme disaster response    

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Comparison of indices for stiffness performance evaluation

Giuseppe CARBONE, Marco CECCARELLI,

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 3,   Pages 270-278 doi: 10.1007/s11465-010-0023-z

Abstract: An overview is presented with basic formulation concerning indices that are proposed in literature.New indices are also outlined. Stiffness indices are computed and compared for a case study.Results are used for comparing the effectiveness of the stiffness indices.

Keywords： robotics     stiffness     performance indices    

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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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From dBA to soundscape indices: Managing our sound environment

Jian KANG

Frontiers of Engineering Management 2017, Volume 4, Issue 2,   Pages 184-192 doi: 10.15302/J-FEM-2017026

Abstract: This paper explores the need for developing ‘soundscape indices’, in the movement from noise controlinfluence on soundscape quality based on the database; developing, testing and validating soundscape indices; and demonstrating the applicability of the soundscape indices in the management of our sound environment

Keywords： noise     soundscape     management     sound     environment     soundscape index    

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Motion/force transmission indices of parallel manipulators

Xinjun LIU, Chao WU, Fugui XIE

Frontiers of Mechanical Engineering 2011, Volume 6, Issue 1,   Pages 89-91 doi: 10.1007/s11465-011-0215-1

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Assessment indices for uniform and non-uniform thermal environments

ZHANG Yufeng, SUN Shufeng, ZHAO Rongyi

Frontiers in Energy 2008, Volume 2, Issue 2,   Pages 129-133 doi: 10.1007/s11708-008-0029-y

Abstract: Different assessment indices for thermal environments were compared and selected for proper assessmentThe results show that these three assessment indices provide equivalent evaluations in uniform environmentsHowever, overall thermal sensation differs from the other two indices and cannot be used as a proper

Keywords： thermal sensation     proper assessment     relationship     equivalent     thermal acceptability    

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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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Control efficiency optimization and Sobol’s sensitivity indices of MTMDs design parameters for buffeting

Nazim Abdul NARIMAN

Frontiers of Structural and Civil Engineering 2017, Volume 11, Issue 1,   Pages 66-89 doi: 10.1007/s11709-016-0356-8

Abstract: Sobol’s sensitivity indices are calculated for the design parameters in addition to their interaction

Keywords： MTMDs     power spectral density     fast Fourier transform     minimax optimization technique     Sobol’s sensitivity indices    

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Modeling, simulation, and prediction of global energy indices: a differential approach

Stephen Ndubuisi NNAMCHI, Onyinyechi Adanma NNAMCHI, Janice Desire BUSINGYE, Maxwell Azubuike IJOMAH, Philip Ikechi OBASI

Frontiers in Energy 2022, Volume 16, Issue 2,   Pages 375-392 doi: 10.1007/s11708-021-0723-6

Abstract: Modeling, simulation, and prediction of global energy indices remain veritable tools for econometric,engineering, analysis, and prediction of energy indices., this paper differentially modeled, simulated, and non-differentially predicated the global energy indicesThe state-of-the-art of the research includes normalization of energy indices, generation of differentialrate terms, and regression of rate terms against energy indices to generate coefficients and unexplained

Keywords： energy indices     differential model     normalization     simulation     inflation/deflation     predictive factor and    

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ClimateAP: an application for dynamic local downscaling of historical and future climate data in Asia

Tongli WANG, Guangyu WANG, John L. INNES, Brad SEELY, Baozhang CHEN

Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 4,   Pages 448-458 doi: 10.15302/J-FASE-2017172

Abstract: While low-to-moderate resolution gridded climate data are suitable for climate-impact modeling at globaland ecosystems levels, spatial analyses conducted at local scales require climate data with increasedwe developed an application, ClimateAP, to generate scale-free (i.e., specific to point locations) climateIt also integrates and downscales the historical and future climate data using a delta approach.In the case of future climate data, two greenhouse gas representative concentration pathways (RCP 4.5

Keywords： biologically relevant climate variables     downscaling     dynamic local regression     future climate     historicalclimate    

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Factors influencing water quality indices in a typical urban river originated with reclaimed water

Jiao Zhang, Zhen Wei, Haifeng Jia, Xia Huang

Frontiers of Environmental Science & Engineering 2017, Volume 11, Issue 4, doi: 10.1007/s11783-017-0943-5

Abstract: The water quality in a typical urban river segment originated with reclaimed water in Beijing was monitored for two years to investigate the evolution of water quality along the river, and statistical analysis was applied to determine factors influencing water quality of such river recharged by reclaimed water. It was found that no significant change in pollutant concentrations (including COD, NH -N, TN and TP) was observed during this time, and their average values were close to those of the original reclaimed water. However, turbidity and algal contents fluctuated temporally in the direction of river flow. Statistical analysis showed that turbidity was strongly positively correlated with algal contents for flow rate<0.1 m·s , whereas it was strongly positively correlated with both algal contents and TOC for flow rate>0.1 m·s . It was observed that diatom was the absolute predominant phyla with as the major species. In terms of algal bloom control, the specific growth rate of algae was strongly correlated to temperature, and was influenced by flow rate as well. Compared with two other rivers originated with reclaimed water and one originated with natural water, the Shannon–Wiener index in the objective river was the lowest, with values between 0.7 and 1.6, indicating a high risk for algal bloom. Statistics showed that Shannon–Wiener index was strongly negatively correlated to nutrient salts and cations.

Keywords： Reclaimed water     Urban river     Turbidity     Algae     Flow rate    

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Responding to the Paris Climate Agreement: global climate change mitigation efforts

Yong GENG, Tsuyoshi FUJITA, Anthony CHIU, Hancheng DAI, Han HAO

Frontiers in Energy 2018, Volume 12, Issue 3,   Pages 333-337 doi: 10.1007/s11708-018-0587-6

Abstract:

Keywords： valign=     top     class=     J_zhaiyao    

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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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The most influential “Top 10 Events” in carbon neutrality and climate change in 2022

Frontiers in Energy 2023, Volume 17, Issue 1,   Pages 1-4 doi: 10.1007/s11708-023-0869-5

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Title Author Date Type Operation

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

Zhai Panmao,Liu Jing

Journal Article

Historical Changes and Future Trends of Extreme Precipitation and High Temperature in China

Shu Zhangkang , Li Wenxin, Zhang Jianyun, Jin Junliang, Xue Qing, Wang Yintang, Hu Qingfang, Wang Guoqing

Journal Article

Comparison of indices for stiffness performance evaluation

Giuseppe CARBONE, Marco CECCARELLI,

Journal Article

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

Journal Article

From dBA to soundscape indices: Managing our sound environment

Jian KANG

Journal Article

Motion/force transmission indices of parallel manipulators

Xinjun LIU, Chao WU, Fugui XIE

Journal Article

Assessment indices for uniform and non-uniform thermal environments

ZHANG Yufeng, SUN Shufeng, ZHAO Rongyi

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

Control efficiency optimization and Sobol’s sensitivity indices of MTMDs design parameters for buffeting

Nazim Abdul NARIMAN

Journal Article

Modeling, simulation, and prediction of global energy indices: a differential approach

Stephen Ndubuisi NNAMCHI, Onyinyechi Adanma NNAMCHI, Janice Desire BUSINGYE, Maxwell Azubuike IJOMAH, Philip Ikechi OBASI

Journal Article

ClimateAP: an application for dynamic local downscaling of historical and future climate data in Asia

Tongli WANG, Guangyu WANG, John L. INNES, Brad SEELY, Baozhang CHEN

Journal Article

Factors influencing water quality indices in a typical urban river originated with reclaimed water

Jiao Zhang, Zhen Wei, Haifeng Jia, Xia Huang

Journal Article

Responding to the Paris Climate Agreement: global climate change mitigation efforts

Yong GENG, Tsuyoshi FUJITA, Anthony CHIU, Hancheng DAI, Han HAO

Journal Article

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

Fatemeh ZAHIRI, Hamid ESKANDARI-NADDAF

Journal Article

The most influential “Top 10 Events” in carbon neutrality and climate change in 2022

Journal Article