Dr. Micah M. Mukolwe

Dr. Micah M. Mukolwe

juneContact details

Department of Civil And Structural Engineering

School of Engineering And Built Environment

Masinde Muliro University of Science &Technology

P.O. Box 190-50100 Kakamega, KENYA

Office no. LBB-312 3rd floor

Kakamega-Webuye Road

Email: This email address is being protected from spambots. You need JavaScript enabled to view it.

ORCID: https://orcid.org/0000-0002-9337-4516

Google Scholar: DG77m4AAAAJ&hl=en&oi=ao

Web of Science ResearcherID: AAL-2660-2021

Micah M. Mukolwe, Ph.D., M.Sc.

Dr. Micah M. Mukolwe received his PhD in Hydro-informatics (2016) from TU-Delft/UNESCO-IHE , and MSc in Water Science and Engineering (2011) from UNESCO-IHE. Currently, he is a Lecturer and the Chairperson of the Civil and Structural Engineering Department at Masinde Muliro University of Science and Technology (MMUST). He practices as an assistant civil engineer with respect to the feasibility, planning, structural design, and implementation of civil engineering infrastructure. His research interests include in probabilistic river hazard risk mapping as well as river hazard modelling.

PROJECTS

  • Research
    • Co-investigator in the project Using the Water Poverty Index, to Better Plan for Community Water Service Provision in Kakamega County.
    • Co-applicant in the project -Engineering Curriculum Review through Industry-Academic Linkages, to Support Knowledge Transfer and Sharing under Higher Education Partnerships in Sub-Saharan Africa programme of the Royal Academy of Engineering, UK
  • Civil Engineering Infrastructure
    • Structural Design and Implementation of Office Block Building and Human Anatomy lab , MMUST 2016-2019
    • Construction supervision of Library Building at MMUST, 2007-2009
    • Construction supervision of 400No Hostel (Hall 3) at MMUST, 2007

Some of His Major Publications:

  1. Edwin Kimutai Kanda, Minyade K. Avulala, Emmy Olendo, Micah M. Mukolwe, Willis Awandu, Valery O. Lutta, Basil Ong'or (T), Alex W. Khaemba. Assessment of groundwater quality in Vihiga County, Kenya. published on 17th March 2023 in Progress in Sustainable Development. DOI: https://doi.org/10.1016/B978-0-323-99207-7.00010-5
  2. Sally J. Chebii, Micah Mukungu Mukolwe, Basil Iro Ong'or. River flow modelling for flood prediction using artificial neural network in ungauged perkerra catchment, Baringo County, Kenya. Water Practice and Technology Published on 11th April 2022 . DOI: https://doi.org/10.2166/wpt.2022.034.
  3. Durand, M.;  Gleason, C. J.;  Garambois, P. A.;  Bjerklie, D.;  Smith, L. C.;  Roux, H.;  Rodriguez, E.;  Bates, P. D.;  Pavelsky, T. M.;  Monnier, J.;  Chen, X.;  Di Baldassarre, G.;  Fiset, J. -M.;  Flipo, N.;  Frasson, R. P. D. M.;  Fulton, J.;  Goutal, N.;  Hossain, F.;  Humphries, E.;  Minear, J. T.;  Mukolwe, M. M.;  Neal, J. C.;  Ricci, S.;  Sanders, B. F.;  Schumann, G.;  Schubert, J. E.;  Vilmin, L.,"An intercomparison of remote sensing river discharge estimation algorithms from measurements of river height, width, and slope", Water Resources Research on June 15, 2016. DOI: https://doi.org/10.1002/2015WR018434.
  4. Authors:  Alfonso, L.; Mukolwe, M. M.; Di Baldassarre, G. "Probabilistic Flood Maps to support decision-making: Mapping the Value of Information" Published: in . DOI: https://doi.org/10.1002/2015WR017378 .

  5.  Mukolwe, Micah M.; Di Baldassarre, Giuliano; Werner, Micha; Solomatine, Dimitri P. ,"Flood modelling: parameterisation and inflow uncertainty", Published:Jan 2014 in Water Management.DOI: https://doi.org/10.1680/WAMA.12.00087.
  6. Mukolwe, Micah M.; Yan, Kun; Di Baldassarre, Giuliano; Solomatine, Dimitri P. ,"Testing new sources of topographic data for flood propagation modelling under structural, parameter and observation uncertainty", Published:Jul 2016 in Hydrological Sciences Journal.  DOI: https://doi.org/10.1080/02626667.2015.1019507.
  7. Rahimzadeh, Omid; Bahremand, Abdolreza; Noura, Nader; Mukolwe, Micah, "Evaluating flood extent mapping of two hydraulic models, 1D HEC-RAS and 2D LISFLOOD-FP in comparison with aerial imagery observations in Gorgan flood plain, Iran",  Published:Nov 2019 in Natural Resource Modeling DOI: https://doi.org/10.1111/NRM.12214.

 

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