The Flood Resilience Group is a multidisciplinary research group affiliated to UNESCO-IHE and Delft University of Technology. It aims at advancing scientific knowledge and practical application into integrated approaches to cultivate resilience in urban communities and built-up areas to face uncertain climate and socio-economic drivers, as well as extreme floods. LINK
Urban adaptation in rapidly growing cities need a paradigm shift
We have been working with rapid developing cities like Can Tho, vietnam (see our work) regarding adaptation. Here we intentionally use the term "Urban Adaptation" instead of more common "Climate Adaptation". The reason for that is, in cities like Can Tho (or any other Secondary City in the Global South - SCGS), climate change -- while being extremely relevant and important -- is only one of many pressures that they have to deal with in adaptation; Land-cover change, rapid population increase, increasing pollution are some others.
In these two part series, we argue the importance of changing the way we look at urban adaptation in SCGS. Simply put, we are in a context that is a combination of high urgency and high uncertainty. But, we still use 'predictive' planning approaches that works well only in contexts of good predictability and less uncertainty. While there are multiple reasons (historical, cultural, economic) for this, it is important to start the discussion on how to change that to a more 'adaptive' -- or as we call it 'agile' approach. That is the story of these two articles. read more...
The book on Climate Change, Extreme Rainfall and Urban Drainage
Some members of International Group on Urban Rainfall (IGUR) of IWA/IAHR Joint Committee on Urban Drainage has produced a book on the topic on the influence on climate and other forms of future change on extreme rainfall and the implications on urban drainage systems.
In addition to a state-of-the-art overview of existing methodologies and relevant results related to the assessment of the climate change impacts on urban rainfall extremes as well as on urban hydrology and hydraulics, it contains a number of tutorials on how to use the described techniques in practice. One example is an easy-to-use tutorial on how to use [Category:WRF_Model|WRF model] on personal computers. This is a similar to -- but very much improved (therefore easier to use) -- the framework described in the article "Running WRF Model on Windows". read more...
This is a python module for running SWMM5 model via python and extract results as python objects. Read more..
IMHEN Report on Climte Change in Vietnam
(C) Institute of Meteorology, Hydrology and Environment (IMHEN), Vietnam.
IMHEN conducted the project "Impact of climate change on water resources and adaptation measures" sponsored by the Government of the Kingdom of Denmark with the participation of consulting experts from the Danish Hydraulic Institute (DHI) and the participation of many Vietnamese agencies. read more
Webapps with python
Python has a number of libraries that makes creating graphics based on data. Some of these tools can create interactive graphics and also web applications so that one can allow non-programmers to explore, analyse and visualize data. Ploty Dash is such a library with a particularly easy learning curve.
Urbanization not only heats up the cities, but could increase extreme rainfall
On 21 July 1999, Nerima-ku region of Tokyo received an unprecedented 111 mm of rainfall in one hour! Later studies lead to the conclusion that this heavy rainfall development was aided by urban heating due to the urban heat island effect of the Tokyo city.
With the cities in the world increasing in size at a phenomenal rate, the question whether larger urban footprints could enhance extreme rainfall is no longer solely an academic one. Read more..
Using Wiki in Higher-Education: Application in organizing research groups
This is a natural extension of the story of this web site. I started this web site in 2006 hacking MediaWiki software. That was just before I moved from Japan to Netherlands and started working at UNESCO-IHE. From the end of 2006, I used the same contraption to support my research group at UNESCO-IHE (which consisted of five six masters students every year, myself and one or two other faculty members). The experiment completed its fifth year in 2011. I was thinking this is the time to document the experience when I came to know that Hydrology and Earth System Sciences Journal is publishing special issue on Hydrology education in a changing world]. Recently the article finished the review cycle and was published in HESS. Read More ...
Improving Drinking Water Quality without Compromising Long-term Safety
Treating water with chlorine is a time-tested way of ensuring biological safety of drinking water. However, excessive chlorination creates chlorination by-products, that are known to cause long-term risk of cancer. We attempted to make a safe compromise.
We integrated EPANET2.0 (a steady-stage, demand-driven water distribution network model), a particle back-tracking algorithm (can trace the origin of water delivered at any demand point in the network), chlorine and disinfection by product model and a multi-objective optimization algorithm to enable computing the optimal water treatment, minimizing long-term chemical risk (represented as cancer treatment cost.) Read more...
When I started teaching programming for water professionals at UNESCO-IHE, I was compelled to use C/C++ as the language. This is due to the fact that EPANET2.0 and EPA-SWMM5.0 (Two main programes, students in my department had to learn) were written in C language. However, C/C++ is a horrible first language. Students have to cover at least three days of learning of arcane syntax and rules before they begin to write some semi-useful code. On the other hand, if I could conduct the classes in Python, they will see the `light' within a few hours! They can start doing interesting and useful things from the very beginning of the study. What a way to stimulate learning!
I wanted to make it possible to call EPANET2 and EPA-SWMM5.0 procedures from python. Following is the first attempt: Read More...
Ecosystem value of SuDS
We analyse the implementation of Sustainable Drainage Systems (SuDS) as a solution to better manage storm water runoffs and reduce urban flooding, and at the same time provide significant Ecosystem Services (ES). ES vary from temperature control at urban and building scale to ma in water savings, depending on the type of SuDS considered. read more