3.3. Basin Characteristics and Hydrological Analysis
A hydrological analysis has been carried out to assess the water flow rate both along the Tanaro River at five control sections (CS) and for the Tanarello and Negrone valleys. The positions of CS were chosen directly within or close to the five main urban areas of the UTV involved during the late October 2020 flood: Ormea, Garessio, Bagnasco, Nucetto and Ceva. These points, already shown in
Figure 2, considered outlets, divide the drainage basin of the UTV into four sub-basins, while the last position (at the town of Ceva) marks the closing of the main basin here analyzed. For the Tanarello and Negrone valleys, of which the outlet corresponds to the identified sites, the approach is slightly different.
The methodology used to characterize from the the sub-basins from the hydrological point of view follows the standard approach commonly employed for this kind of study in Italy: to evaluate the water flow rate, the equation of Metodo Razionale (i.e., Rational Method) [
27] was considered:
In Equation (1), Qmax is the value of the maximum water flow rate in m3/s expected at the considered position, C is an adimensional coefficient that takes in account the surface runoff fraction of rainfall, i is the maximum rainfall intensity expected in the selected area expressed in mm/h, A is the area in km2 of the catchment, k is an adimensional constant used to correlate the units of measure of the other parameters.
The surface runoff coefficient was derived from the land use map of the area provided by the Regional administrations of the Piemonte Region and Liguria Region [
22,
23]. A simplified approach was employed, and the land use maps were re-classified using a Geographic Information System (GIS) software and considering only five classes: anthropic areas, grassland and fields, vegetated areas, water bodies, and rock outcrops. For each of the five classes, a specific value of C was defined, using bibliographical sources as reference [
28], to take into account the differences caused by the soil type associated with each of the five land use classes and the surface slope: this is a simple yet effective method, commonly used in Italy. These partial values have then been averaged using the area (in km
2) of each land use class as weight, obtaining thus a value representative of the entire drainage basin considered. This process has been repeated for each sub-basin defined within the main basin. It is worth noting that a single value was used for the C coefficient for the rock outcrops, despite different lithologies are present in the area. This approach was considered sufficient given the very small percentage of the area that the rock outcrops occupy (3.3%) within the Upper Tanaro Basin and its sub-basins, which renders any compositional difference between different types of rocks practically negligible for the evaluation of the global C coefficient.
The maximum rainfall intensity expected in a given area has been obtained using the intensity-duration-frequency curve equation:
This power law expresses the value of maximum expected rainfall intensity (i, in mm/h) as a function of time (t, in h) and two parameters (a and n) of which n is adimensional while a is rainfall depth (in mm). These two parameters can be derived for a given recurrence period (Tr) from a statistically significant period of measurement of rainfall values, usually at least 30 years long, using Gumbel’s method [
29] and. The Regional Agency for Environmental Protection of Piemonte Region (ARPA Piemonte) already provides the values of the a and n parameters for the regional territory, through a free and public web interface [
30]: this simplified approach is the standard for professionals in Northern Italy and was chosen for our study for this reason. The regional territory is divided into squares of side length equal to 250 m, for which the pa and n parameters are provided. For this study, a number of these cells, roughly amounting to a tenth of the area of each sub-basin, has been consulted, and the respective values averaged. The a and n values considered were those related to a 200 years recurrence period, which is the standard maximum recurrence time the Italian law requires for this kind of analysis [
31]. The time variable in Equation (2) must be considered equal to the concentration time (t
c), i.e., the interval of time required for water to flow from the most remote point of the watershed to its outlet, to evaluate the maximum contribution from every point of the drainage basin. The t
c (in h) has been estimated using Giandotti’s formula [
32], empirically derived for basins of the Italian peninsula with a surface greater than 10 km
2. The equation is as follows:
where A is the area of the drainage basin (in km
2), L is the length of the main stream extended to the watershed divide (in km), H
a is the average elevation of the drainage basin, and H
o is the elevation of the outlet. All these parameters can be easily obtained using a GIS software: in this study, the drainage system of the UTV was obtained from official data of Piemonte Region and Liguria Region [
16,
17], while the extent of the drainage sub-basins and their elevation data were derived from the 5 m resolution DTM provided by both Piemonte Region and Liguria Region [
18,
19]. The metadata provided with these DTMs state a precision of about 0.50 m on average. Knowing the value of t
c for each considered basin, the maximum expected rainfall intensity could be calculated. Lastly, since the value of A of each drainage basin and sub-basin considered is already known, the maximum expected water flow rate for the 200-year recurrence period could be evaluated.
For the Tanarello and Negrone valleys, the values of i calculated for the sub-basins defined by the five CS were used, so that when referring to a specific catchment sub-basin, the intensity and duration of its expected rainfall are extended to the Tanarello Basin and Negrone Basin.
The Qmax value calculated with (1) for the sub-basins of the Tanarello and Negrone valleys was then used to estimate, with acceptable approximation, the volume that the proposed dams have to accommodate. This volume is usually obtained by means of integration over the function that describes the relation between time and the water flow rate during a flood (also known as a hydrograph). This function has an initial part where the water flow rate grows with time up to a peak value (i.e., Qmax) correspondent to the time at which all the basin is contributing (i.e., the tc value); then the flow rate decreases until it returns to the initial value. The curve, in its simplest representation, has the shape of a triangle, thus the value of the flood volume can easily be calculated as its area. Once the water volume of the expected flood is known, using the DTM of the drainage basins, it is possible to evaluate the volume manageable by a dam of a given height.
Using a trial and error process, different heights for the dams located at the two identified positions along the Negrone and Tanarello rivers were used to extract the portion of DTM between the elevation of the base of the structure and its maximum height. Then, an algorithm available for the QGis 3.16.14 software was employed, called raster surface volume. The algorithm simply evaluates, for each cell of the portion of DTM previously extracted, the difference between the elevation of the surface defined by the maximum water level in the dam, by definition equal to the surface covered by the extracted DTM, and the elevation of a reference base level, equal to the elevation of the base of the dam. Using the spatial resolution of the DTM, the volume is calculated. For increasing values of height of the two dams, the correspondent volumes were evaluated, until a value large enough to surpass that of the expected flood was found. The two dams found this way are hence called optimal scenario (OS), even though, in order to propose a cost-effective design solution, different combinations of height for the two dams have been assumed and analyzed.
Since the dams are not intended to work by completely containing the flood but as retention basins, an outflowing water flow rate (Q
out) has been quantified: for the OS, this is roughly equivalent to 10% of the maximum expected water flow rate at the dam position. This value guarantees significant retention of the flood. For lower heights of the two dams, since their available volume cannot completely contain the flood, the outflow of water is required to maximize the efficiency of the flood mitigation structure. In this case, the outgoing water flow rate can be calculated following the definition of the retention coefficient (η) given by [
33]:
Here, Qin is the ingoing water flow rates (in m3/s), while Vdam and Vflood are the maximum volumetric capacity of the dam and the volume of the flood (in m3). Since the value of Qin is equal to Qmax calculated for the sub-basins of the Tanarello and Negrone valleys, and both the volumes Vdam and Vflood have already been quantified, the value of Qout can be calculated.
Finally, the value of Q
max calculated in the five CS along the Tanaro River has been used to quantify the mitigation effect of the different design solutions proposed: this has been simply achieved by confronting the maximum expected water flow rate at each CS without and with the flood mitigation dams. The mitigated Q
max (later referred to as Q
residual) value has been calculated by considering only the value of Q
out as the contribution of the mitigated drainage sub-basins of Tanarello and Negron rivers. The mitigation effect (M) of the dams proposed in this study is quantified as a percentage calculated as follows: