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RISS 인기검색어
- 검색키워드
- 저자 : Mohamed H. Zaki (검색결과 2 건)
- 무료
- 기관 내 무료
- 유료
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Photocatalytic Degradation of Methyl tert-Butyl Ether (MTBE): A review
Seddigi, Zaki S.,Ahmed, Saleh A.,Ansari, Shahid P.,Yarkandi, Naeema H.,Danish, Ekram,Oteef, Mohammed D.Y.,Cohelan, M.,Ahmed, Shakeel,Abulkibash, Abdallah M. Techno-Press 2014 Advances in environmental research Vol.3 No.1
Advanced oxidation processes using UV and catalysts like $TiO_2$ and ZnO have been recently applied for the photocatalytic degradation of MTBE in water. Attempts have been made to replace the UV radiation by the solar spectrum. This review intends to shed more light on the work that has been done so far in this area of research. The information provided will help in crystallizing the ideas required to shift the trend from UV photocatalysis to sunlight photocatalysis. The careful optimization of the reaction parameters and the type of the dopant employed are greatly responsible for any enhancement in the degradation process. The advantage of shifting from UV photocatalysts to visible light photocatalysts can be observed when catalysts like $TiO_2$ and ZnO are doped with suitable metals. Therefore, it is expected that in the near future, the visible light photocatalysis will be the main technique applied for the remediation of water contaminated with MTBE.
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Investigating the spatial collision factors involved in bikeshare crashes at Washington, D.C
Showmitra Kumar Sarkar,Kazi Redwan Shabab,Palash Chandra Das,Mohamed H. Zaki 대한공간정보학회 2023 Spatial Information Research Vol.31 No.1
The objective of the study is to explore and characterize the spatial collision factors for bikeshare crashes using spatial and mathematical modeling. First, the nine most influential components behind the bikeshare crashes in Washington, D.C (179 census tracts) were selected as study variables (i.e., population density, number of bikeshare trips, etc.). Next, a spatial weight matrix was used to quantify the spatial relationships among the study variables with the bikeshare crashes. Finally, three models (i.e., Classic Regression, Spatial Lag, and Spatial Error) were used to investigate the essence of the interaction between these variables and bikeshare crashes. Finally, the spatial collision factors involved in bikeshare crashes were identified. According to model results, two causal factors (i.e., no. of cafe and no. of bikeshare points) significantly influence the bikeshare crashes in the Washington, D.C. area. The findings regarding spatial factors involved in bikeshare crashes can be useful in making optimum decisions regarding planning for bikeshare safety.
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