Monday, July 31, 2023

Some observations about long rainfall and the generated discharges

 In well-known hydrologic response theories like the IUH, it has been established that for a specific catchment and a constant rainfall, there exists a 'critical rainfall duration' resulting in the maximum discharge for that catchment, which is usually known as concentration time

The next step is to associate a return period with the constant rainfall. This allows us to demonstrate that given a precipitation with an assigned return period, there is a critical rainfall duration that yields the highest possible discharge in that river section.This is what has been accomplished in Rigon et al., 2011 (but the research dates back to early 00, which is another interesting story). BTW, In the paper, we have also shown that this time is less or equal to the concentration time. 


The above argument may lead to the misconception that the “maximum discharge” for the catchment cannot be exceeded (keep in mind that the concept of maximum discharge obtainable is incomplete when you do not mention a return period).  Consider doubling the duration of the rainfall while keeping the intensity fixed. The first impulse results in the highest discharge with the assigned return period. Yet, it also has a discharge tail that, depending on the catchment's features, can last quite long. When the second impulse of precipitation arrives with the same intensity, it adds to the recession of the first impulse, usually increasing the discharge beyond the maximum discharge obtained with a single impulse.

In certain cases, like in the kinematic hydrograph model (uniform IUH) the rise of the new impulse discharge may precisely compensate for the decreasing recession of the older impulse, resulting in a constant discharge. However, this is not the general scenario, as simple calculations can show and sticking with this idea can be erroneous. Typically in fact, and especially when there is a marked contrast between the response time of the surface and subsurface storm flow waves, the recession discharge generated of the first impulse decreases more slowly than the increase in the new impulse discharge, effectively acting as additional rainfall. This effect is equivalent to increase the intensity of the effective rainfall to a return period which can be estimated through inverse modelling. In other words, two subsequent rainfall impulses, each with an assigned return period, are equivalent to a precipitation event with a higher return period. While the IUH theory establishes a precise equality between the return period of rainfall and discharge for a single impulse, the two return periods of discharges and rainfall become decoupled when multiple rainfall impulses occur.  

Although real-world precipitations are not constant and uniform, and the response of the catchment may not be time-invariant,  the main qualitative findings described above remain statistically valid and could be tested by generating ensembles of time-variable precipitations with numerical models. Besides, there are additional factors like sediment and vegetation transport that can add volume to the water (see for instance these posts),  increasing more than linearly the return period of discharge with increasing rainfall intensities. 


References 

Rigon, R., P. D’Odorico, and G. Bertoldi. 2011. “The Geomorphic Structure of the Runoff Peak.” Hydrology and Earth System Sciences 15 (6): 1853–63. https://doi.org/10.5194/hess-15-1853-2011.

Tuesday, July 4, 2023

C3A Six Years Plan

C3A is the Center for Agriculture (Agricoltura), Food (Alimenti), Environment (Ambiente) of the University of Trento (UniTrento).  As you can see in the brief history you can find in the document below, it was established to increase the involvement in the high education and research of the Province of Trento in Agrifood (and environmental field) together with the Edmund Mach Foundation (FEM) six years ago. 
The collaboration was actually not easy but at the same time fruitful and had a change in the recent years that were brought to a new agreement between the FEM and UniTrento. This agreement was the basis for the new six-years plan of the Center (due according to the regulations of the University of Trento) which you can find below. It design the research and educational activities for the next 6 years. 





The plan can be found by clicking on the above Figure. Here you can also find the slides I presented to the board of the University for presenting the Center and the plans.


Thursday, June 22, 2023

A Ph.D. position on Po River, DARTHs, Earth Observations

I have an open Ph.D. position which closes at July 6: - Evolution of the system GEOframe/OMS3/CSIP for the building ofa Digital Twin of the Hydrology of river Po - E66E23000170001 

It looks like it is very dedicate to informatics (see also here) but let me say that the candidate should write their  project with a broader view, although it must remain within the scope of what we are doing in the context of the Po River basin project and  related to the exploitation of satellite data to support hydrological modeling. The project that funds it, besides PNRR,  is 4DHYdro, which collects some of the best hydrological modellers in Europe (and from the projects' goal you can find inspiration). 

The general focus of the study are droughts and can contains more computer science-related parts, more conceptual parts, or more applied parts. The themes related to the processes are: snow, plant transpiration, and crop needs. The enabling technology is precisely the systematic use of Earth observation, and the concept paper for the whole system is the one about DARTHs. Further information on DARTHs can be found here

If, at this point, you are a little convinced to apply also consider the philosophy of our group that you can find in a sequence of posts, here and and links therein.

Our group is a  crew of international fellows: 2 Indians, 1 Pakistani, 1French, 1 Iranian, 1 Algerian and 8 Italians, including two professors, one researcher (at Eurac), two postdocs, and nine Ph.D. students already. 

Saturday, June 10, 2023

Transit time, Residence time, Response time, Life expectancy

 Just to help someone, a few definitions:

  • Travel Time (a.k.a. Transit Time), T: It is the time a parcel of water stays inside a control volume. If $t_{in}$ is the time it entered the control volume and $$t_{ex}$$ the travel time it exits, then $$ T= t_{ex}-t_{in} $$ For an observer placed at the outlet(s) of the control volume, since their actual (clock) time coincides with $$t_{ex}$$, i.e $$t_{ex}=t$$ it is $$ T= t-t_{in} $$. The actual variable in this definition is $$t_{in}$$

  • Residence time is $$T_R = t-t_{in}$$
  • Life expectancy is $$ T_L = T_{ex} - t$$ so, it is also: $$ T = T_R+T_L $$ 
  • Response time is $$R = t_{ex}-t_{in}$$ but only restricted to all the parcels injected at the same $$t_{in}$$ estimated at $$t=t_{in}$$ and is their life expectancy at  $$t=t_{in}$$. The actual variable here is $$t_{ex}$$.
All of these definitions are given in statistical sense, meaning that they are stochastic variables described trough their distributions. Looking at the above definitions  and if we do not read them very carefully, it looks like that transit time and response time are the same thing and we though for decades it was. Instead they are not since transit time distribution is conditional to the clock time, while response time distribution is conditional to the injection time.  The first is a distribution in $$t_{in}$$, the second in $$t_{ex}$$. 

To learn more, you can get further details at: 

Rigon, Riccardo, Marialaura Bancheri, and Timothy R. Green. 2016. “Age-Ranked Hydrological Budgets and a Travel Time Description of Catchment Hydrology.” Hydrology and Earth System Sciences Discussions, May, 1–22. https://doi.org/10.5194/hess-2016-210. (This paper has a little weird description of life expectancy though)

Rigon, Riccardo, and Marialaura Bancheri. 2021. “On the Relations between the Hydrological Dynamical Systems of Water Budget, Travel Time, Response Time and Tracer Concentrations.” Hydrological Processes 35 (1). https://doi.org/10.1002/hyp.14007. (ad especially give a look to the supplemental material)

See also a concise summary unpublished paper available here

Video lectures in the topic can be found in this blog. The most recent ones are:

Travel Time, Residence Time and Response Time
Here below we started a little series of lectures about a statistical way of seeing water movements in catchments. This view has a long history but recently had a closure with the work of Rinaldo, Botter and coworkers. Here it is presented an alternative vie to their concepts. Some passages could be of some difficulty but the gain in understanding the processes of fluxes formation at catchment scale is, in my view, of great value and deserves some effort.  The way of thinking is the following: a) the overall catchments fluxes are the sum of the movements of many small water volumes (molecules); b) the water of molecules can be seen through 3 distributions: the travel time distribution, the residence time distribution and the response time distributions; c) the relationships between these distributions are revealed; d) the relation of these distributions with the the treatment of the catchments made through ordinary differential equations is obtained through the definition of age ranked distributions; e) The theory this developed is a generalizations of the unit hydrograph theory. 



Monday, May 15, 2023

A talk on how plants eat the Sun

 Tomorrow, for the "23rd International Day of Light" I am giving a talk about how through the photosynthesis plants take water and carbon dioxide to produce oxygen and carbohydrates (lignin and other stuff).  The title was kind of suggested by a book by Oliver Morton of about the same name

Slides and talk are in Italian but I will provide soon an English version of it. By clicking on the figure, please find the presentation pdf. 



Friday, May 12, 2023

Attacking the issue of hydrological scales within GEOframe

 How to face the scale problems in GEOframe. Daniele Andreis is giving his answer by using the capabilities of the GEOframe system.  His approach is simple. Taken a catchment subdividing further the HRUs (with an appropriate software component) in smaller HRUs you are able to run a GEOframe modelling solution to the larger catchment (if required)  with a specific catchment refined and then you can compare the models parameters of the refined solutions with the coarser one. (That's actually not really  done yet ;-)). 

What you see in this poster is the preliminary work where you can notice a couple of nice features: the time series of the monthly, daily and hourly water budget which is unusual to find and the comparison of a neutron probe signal with the simulated root zone water content. The signal are clearly correlated and this can be though as an indirect assessment of the GEOframe modeling solution chosen and let's hope that we can actually calibrate somewhat the root zone parameters with the neutron probe. Clicking on the above figure, please find a larger figure of the poster,  


Monday, April 24, 2023

For inquiring students. - II (and what is ph.D education about)

"My name is John, and I am an M.Sc. student of water engineering at the Beautiful University of Technology. My M.Sc. thesis subject is a groundbreaking one - 'Application of WRF Regional Model for Rainfall Prediction (Case Study: Northwest of Antarctica).' Under the guidance of Prof. Best Hydrologist, I have delved into the impact of predicted precipitation by the WRF model on flood forecasting in the Hec-Hms (or SWAT) model. My expertise and keen interest in climate change impacts on hydroclimatic extremes, numerical weather prediction, hydrology and water resource management, hydraulic and flood forecasting make me a force to be reckoned with in the field. "

I already wrote on the topic of students inquiring about the possibility to do a Ph.D with me. You can find previous notes here. However, I would still add something.

It's heartening to see that many schools are taking the direction of training students to run WRF, Hec-HMS, SWAT, R, Python and other tools. However, mastering tools is just one aspect of research. To truly investigate nature, one must understand where problems are and be able to modify paradigms and tools to solve them appropriately. 

As Richard Feynman said, 'The problem is not people being uneducated. The problem is that people are educated just enough to believe what they have been taught, and not educated enough to question anything from what they have been taught.' 

Becoming a solid Ph.D applicant requires making this switch and adding a few phrases to your  CV that show that you have understood the Feynman's point.  Besides, you should be inquisitive and show some fire inside for discovering new things and achieve results beyond the state-of-art (and for what regards working with me, love computer programming). A PhD is not just a status symbol or a way to gain a good salary - it's a calling for those who are truly passionate about pushing the boundaries of knowledge (see this nice infographics from an old post)

P.S. -  I also wrote this "Essential for Hydrologists" that could further help.