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Your search keyword '"Li, Wenkai"' showing total 526 results
Start Over Author "Li, Wenkai" Publication Type Academic Journals
526 results on '"Li, Wenkai"'

6. Parameter optimization of rural sewage treatment type household manholes based on waste brick

Author

LI Wenkai, SHI Tainian, ZHANG Chaochao, FENG Ronghu, CHENG Wenhu, and ZHENG Tianlong

Subjects
rural sewage, household manholes, waste brick, pollution control, response surface, Environmental technology. Sanitary engineering, TD1-1066
Abstract

The amount of rural sewage varies greatly, which easily affects the normal operation of sewage treatment facilities. The application of waste bricks to construct rural sewage treatment type household manholes can realize front pollution control, improve the stability of the rural sewage treatment system, and realize the resource utilization of rural construction wastes, which has a broad prospect. However, the influencing factors and parameter selection of this technology are not clear, which affects its popularization and application. To solve the above problems,this study adopted small and pilot devices, combined with material characterization, single factor analysis and response surface analysis to study the influence of waste brick particle size, pollution control effect and parameter optimization process of waste brick-based rural sewage treatment type household manholes. It was found that waste brick-based rural sewage treatment type household manholes had good sewage treatment effects, and waste brick fragments with particle size of 0.5-

Published
2024
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7. The formation mechanism and control measures of sewage treatment filler blockage

Author

LIU Jianguo, MEN Yingxin, WEI Jingting, LI Wenkai, ZHU Chang, CAO Yingnan, YANG Xiaoxia, LIU Junxin, and ZHENG Tianlong

Subjects
sewage treatment filler, clogging, development mechanism, control measures, Environmental technology. Sanitary engineering, TD1-1066
Abstract

Sewage treatment filler can improve the effect of sewage treatment, but its clogging problem will reduce the treatment capacity and deteriorate the operating conditions, which needs to be solved urgently. In order to improve the anti-clogging ability of sewage treatment filler, this paper reviewed the relevant research on the clogging of sewage treatment filler. The formation mechanism of clogging for sewage treatment filler was summarized from the aspects of filler characteristics, application scenarios, material classification, clogging characteristics, development mechanisms and influencing factors. Seven common control measures for clogging of sewage treatment filler were discussed from three aspects:pre-event,in-event and post-event. According to current studies, the research suggestions on clogging formation mechanism, clogging control measures and filler design optimization were proposed to provide support for the subsequent research and technology development of sewage treatment fillers, and improve the application of sewage treatment fillers.

Published
2024
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9. Study of the improvement of the multifractal spatial downscaling by the random forest regression model considering spatial heterogeneity

Author

Zhang, Wei, Ji, Chenjia, Zheng, Shengjie, Loáiciga, Hugo A, Li, Wenkai, and Sun, Xiaona

Subjects
Hydrology, Atmospheric Sciences, Earth Sciences, integrated multi-satellite retrievals for global precipitation measurement, spatial downscaling, multifractal, random forest regression, spatial heterogeneity, Physical Geography and Environmental Geoscience, Geomatic Engineering, Geological & Geomatics Engineering, Atmospheric sciences, Physical geography and environmental geoscience, Geomatic engineering
Published
2023

34. Adaptive Determination of the Flow Accumulation Threshold for Extracting Drainage Networks from DEMs

Author

Zhang, Wei, Li, Wenkai, Loaiciga, Hugo A, Liu, Xiuguo, Liu, Shuya, Zheng, Shengjie, and Zhang, Han

Subjects
Earth Sciences, Geoinformatics, flow accumulation threshold, multiple regression, power function, drainage networks, Classical Physics, Physical Geography and Environmental Geoscience, Geomatic Engineering, Atmospheric sciences, Physical geography and environmental geoscience, Geomatic engineering
Abstract

Selecting the flow accumulation threshold (FAT) plays a central role in extracting drainage networks from Digital Elevation Models (DEMs). This work presents the MR-AP (Multiple Regression and Adaptive Power) method for choosing suitable FAT when extracting drainage from DEMs. This work employs 36 sample sub-basins in Hubei (China) province. Firstly, topography, the normalized difference vegetation index (NDVI), and water storage change are used in building multiple regression models to calculate the drainage length. Power functions are fit to calculate the FAT of each sub-basin. Nine randomly chosen regions served as test sub-basins. The results show that: (1) water storage change and NDVI have high correlation with the drainage length, and the coefficient of determination (R2) ranges between 0.85 and 0.87; (2) the drainage length obtained from the Multiple Regression model using water storage change, NDVI, and topography as influence factors is similar to the actual drainage length, featuring a coefficient of determination (R2) equal to 0.714; (3) the MR-AP method calculates suitable FATs for each sub-basin in Hubei province, with a drainage length error equal to 5.13%. Moreover, drainage network extraction by the MR-AP method mainly depends on the water storage change and the NDVI, thus being consistent with the regional water-resources change.

Published
2021

37. Regional Precipitation Model Based on Geographically and Temporally Weighted Regression Kriging

Author

Zhang, Wei, Liu, Dan, Zheng, Shengjie, Liu, Shuya, Loáiciga, Hugo A, and Li, Wenkai

Subjects
Earth Sciences, Atmospheric Sciences, Geoinformatics, precipitation interpolation, geographically and temporally weighted regression, time weight function, geographically and temporally weighted regression kriging, Classical Physics, Physical Geography and Environmental Geoscience, Geomatic Engineering, Atmospheric sciences, Physical geography and environmental geoscience, Geomatic engineering
Abstract

High-resolution precipitation field has been widely used in hydrological and meteorological modeling. This paper establishes the spatial and temporal distribution model of precipitation in Hubei Province from 2006 through 2014, based on the data of 75 meteorological stations. This paper applies a geographically and temporally weighted regression kriging (GTWRK) model to precipitation and assesses the effects of timescales and a time-weighted function on precipitation interpolation. This work’s results indicate that: (1) the optimal timescale of the geographically and temporally weighted regression (GTWR) precipitation model is daily. The fitting accuracy is improved when the timescale is converted from months and years to days. The average mean absolute error (MAE), mean relative error (MRE), and the root mean square error (RMSE) decrease with scaling from monthly to daily time steps by 36%, 56%, and 35%, respectively, and the same statistical indexes decrease by 13%, 15%, and 14%, respectively, when scaling from annual to daily steps; (2) the time weight function based on an exponential function improves the predictive skill of the GTWR model by 3% when compared to geographically weighted regression (GWR) using a monthly time step; and (3) the GTWRK has the highest accuracy, and improves the MAE, MRE and RMSE by 3%, 10% and 1% with respect to monthly precipitation predictions, respectively, and by 3%, 10% and 5% concerning annual precipitation predictions, respectively, compared with the GWR results.

Published
2020

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