About
- Nama:Muhammad Dikman Maheng
- Gelar Depan:Ir.
- Gelar Belakang:S.T., M.Sc
- Tanggal lahir:Senin, 27 Jun 1977
- Age:47
- Alamat:Jl. Kelapa Baru, No. 5, Anduonohu, Kota Kendari
- Email:dikman.maheng@umkendari.ac.id
Resume 1
Pendidikan
S2
Di UNESCO - IHE
Pada 2009-10-15 Sampai 2011-04-27
S1
Di Universitas Islam Indonesia
Pada 1996-07-04 Sampai 2002-07-04
Minat Penelitian
Keahlian
Computer programming with Python
Pengalaman Kerja
Konsultan Individu
Di Kementrian Pekerjaan Umum
Pada 2011-01-20 Sampai 2011-12-31
Blog
Recent posts form our Blog
An Efficient Modeling Approach for Probabilistic Assessments of Present-Day and Future Fluvial Flooding
Risk-informed flood risk management requires a comprehensive and quantitative risk assessment, which often demands multiple (thousands of) river and flood model simulations. Performing such a large number of model simulations is a challenge, especially for large, complex river systems (e.g., Mekong) due to the associated computational and resource demands. This article presents an efficient probabilistic modeling approach that combines a simplified 1D hydrodynamic model for the entire Mekong Delta with a detailed 1D/2D coupled model and demonstrates its application at Can Tho city in the Mekon est...
Changing Urban Temperature and Rainfall Patterns in Jakarta: A Comprehensive Historical Analysis
The increasing global population and in-country migration have a significant impact on global land use land cover (LULC) change, which reduces green spaces and increases built-up areas altering the near-surface radiation and energy budgets, as well as the hydrological cycle over an urban area. The LULC change can lead to a combination of hazards such as increasing urban temperatures and intensified rainfall, ultimately resulting in increased flooding. This present study aims to discuss the changing pattern in urban temperature, daily rainfall, and flooding in Jakarta. The daily urban temperatu est...
Assessing the Potentials of Digitalization as a Tool for Climate Change Adaptation and Sustainable Development in Urban Centres Author links open overlay panel
Digitalization is a key enabler of sustainable development of cities’ socio-economic dynamics with the potential to foster climate-friendly urban environments and societies. The advent of the 4th industrial revolution has seen the increased application of digitalization in several fields and at different levels. High-tech digital devices, platforms and environments are increasingly being deployed to enhance productivity, efficiency and sustainability, and improve overall well-being of urban dwellers. Digitalization is projected to further impact cities in future, transform jobs and trigger l est...
The Sensitivity of Urban Heat Island to Urban Green Space—A Model-Based Study of City of Colombo, Sri Lanka
Urbanization continues to trigger massive land-use land-cover change that transforms natural green environments to impermeable paved surfaces. Fast-growing cities in Asia experience increased urban temperature indicating the development of urban heat islands (UHIs) because of decreased urban green space, particularly in recent decades. This paper investigates the existence of UHIs and the impact of green areas to mitigate the impacts of UHIs in Colombo, Sri Lanka, using UrbClim, a boundary climate model that runs two classes of simulations, namely urbanization impact simulations, and greening est...
A Preliminary Study on the Impact of Landscape Pattern Changes Due to Urbanization: Case Study of Jakarta, Indonesia
Urbanization is changing land use–land cover (LULC) transforming green spaces (GS) and bodies of water into built-up areas. LULC change is affecting ecosystem services (ES) in urban areas, such as by decreasing of the water retention capacity, the urban temperature regulation capacity and the carbon sequestration. The relation between LULC change and ES is still poorly examined and quantified using actual field data. In most ES studies, GS is perceived as lumped areas instead of distributed areas, implicitly ignoring landscape patterns (LP), such as connectivity and aggregation. This prelimi est...