The 63-year changes in annual streamflow volumes across Europe with a focus on the Mediterranean basin
- 1Department of Agricultural and Environmental Sciences, University of Milan, Via Celoria 2, 20133 Milan, Italy
- 2Research Institute for Geo-Hydrological Protection, National Research Council, Via Madonna Alta 126, 06128 Perugia, Italy
- 3Centre of Applied Studies for the Sustainable Management and Protection of Mountain Areas (Ge.S.Di.Mont), University of Milan, Via Morino 8, 25048 Edolo, Brescia, Italy
Correspondence: Daniele Masseroni (firstname.lastname@example.org)
Determining the spatiotemporal variability in the annual streamflow volume plays a relevant role in hydrology with regard to improving and implementing sustainable and resilient policies and practices of water resource management. This study investigates annual streamflow volume trends in a newly assembled, consolidated, and validated data set of daily mean river flow records from more than 3000 stations which cover near-natural basins in more than 40 countries across Europe. Although the data set contains streamflow time series from 1900 to 2013 in some stations, the statistical analyses were carried out by including observations from 1950 to 2013 in order to have a consistent and reliable data set over the continent. Trends were detected by calculating the slope of the Theil–Sen line over the annual anomalies of streamflow volume.
The results show that annual streamflow volume trends have emerged at European scale, with a marked negative tendency in Mediterranean regions, with about m3/(km2 yr−2), and a generally positive trend in northern ones, with about 0.5×103 m3/(km−2 yr−2). The annual streamflow volume trend patterns appear to be in agreement with the continental-scale meteorological observations in response to climate change drivers. In the Mediterranean area, the decline of annual streamflow volumes started in 1965, and since the early 1980s, volumes have consistently been lower than the 1950–2013 average.
The spatiotemporal annual streamflow volume patterns observed in this work can help to contextualize short-term trends and regional studies already available in the scientific literature, as well as to provide a valid benchmark for further accurate quantitative analysis of annual streamflow volumes.
Elucidating continental patterns of annual streamflow volume changes in the Anthropocene epoch, to confirm unequivocally the effects of climate change and human impact on water resources, has become a challenge in contemporary hydrology (Blöschl et al., 2019). Although the hydrological scientific community has undertaken a great effort, little research robustly demonstrates the ubiquitous and uniform trend in European annual streamflow volumes (e.g., Mediero et al., 2014; Alfieri et al., 2015; Hodgkins et al., 2017; Blöschl et al., 2019). Most studies have identified the following two separate trends, both from recent observations and using model projections sensitive to climate change: reduced flows in southern and eastern Europe (e.g., Stahl et al., 2010; Caloiero and Veltri, 2019) and increased flows in central and northern Europe (up to ±45 % after 1962, according to Teuling et al., 2019; −10 % to 30 % and +10 % to 40 %, respectively, by the year 2050, under the Special Report on Emissions Scenarios A1B, according to Milly et al., 2005). Lehner et al. (2006) identified large critical regions in southern and southeastern Europe for which significant changes in river flow drought are expected, and Feyen and Dankers (2009) projected increases in streamflow drought severity and persistence in most parts of Europe.
Models have also highlighted a reduction through time of areas with increased runoff and an expansion of those with decreased runoff (e.g., a north-bound expansion of drying in the Mediterranean area; Milly et al., 2005). Similar trends were also found when analyzing trends in zero-flow days (Thober et al., 2018) and peak flows or flooding frequency, although there was high sensitivity to catchment size (Bertola et al., 2020). The majority of such changes have been attributed to changes in precipitation, with a less important role for land use and evapotranspiration change (Teuling et al., 2019).
Seasonal flows were also found to experience significant changes (Bard et al., 2015; Bormann and Pinter, 2017). Positive trends were found in the winter months in most catchments. A marked shift towards negative trends was observed in April, gradually spreading across Europe to reach a maximum extent in August. Low flows have decreased in most regions where the lowest mean monthly flow occurs in summer, with some exceptions in catchments buffered by a large groundwater storage capacity (e.g., Fleig et al., 2010; Laizé and Hannah, 2010). Bates et al. (2008) summarized some European studies that have found generally similar but more spatially explicit patterns, including, for example, decreasing future summer flow in central and eastern Europe. Also, models sensitive to climate change project that the peak in discharge will occur approximately 1 month earlier due to increased temperatures and earlier snowmelt in the future, with changes that are much more pronounced and statistically significant for all months under RCP8.5 compared to RCP4.5 (Lobanova et al., 2018).
Most studies, however, are based on observations limited to the second half of the 20th century (Piniewski et al., 2018; Renard et al., 2008; Birsan et al., 2005; KLIWA, 2003; Schmocker-Fackel and Naef, 2010; Demeterova and Skoda, 2005, 2009; Fiala, 2008; Fiala et al., 2010; Teuling et al., 2019). In addition, several studies highlighted the extreme sensitivity of river streamflow to data selection, methods of trend detection, and the time window for the analysis (Stahl et al., 2010). Kundzewicz et al. (2005, 2020) advocated particular caution in interpreting streamflow trend signals resulting from a restricted number of stations with a small recording period, as even small gaps in the data time series or missing values could alter the significance of the statistical tests. Finally, even though trends highlighted by the literature are broadly consistent with the spatial patterns of evapotranspiration and precipitation change, the effect of climate change on hydrology at the river basin scale is complex. Large-scale climate or hydrological models can reproduce broad patterns but are still unable to capture all relevant spatially distributed characteristics of physical catchment structures and associated processes, particularly in regimes with storage and release of water across the seasons (Stahl et al., 2010). Also, extending the analysis to longer time series might reveal unexpected influences from long-term climate variability modes, such as the North Atlantic Oscillation (Hannaford et al., 2013; Steirou et al., 2017) or expected changes in the Atlantic Meridional Overturning Circulation (Brocca et al., 2020), which might introduce spurious trends in analyses focusing on shorter time spans. Finally, noise can be introduced by human modification and appropriation of streamflow, which may also reverse forecasted changes in river flow (Forzieri et al., 2014).
Based on this background, it appears more useful to solicit large-scale studies in order to investigate predominant annual streamflow volume continental trends, which can provide a basis for understanding processes in regional hydrology. In particular, a special effort should be made to focus the analysis of the river flow time series over the Mediterranean area, which is almost always overlooked in trend studies due to the lack of river discharge data.
To achieve this aim, reliable networks of river streamflow measures in near-natural catchments are necessary. Several countries in the world have nowadays developed reference hydrometric networks composed of gauging stations with long and uninterrupted river flow records (Burn et al., 2012; Hannah et al., 2010). Such networks are generally managed and maintained by regional authorities or civil protection agencies and are composed of gauging stations for measuring the river water level (stage) combined with updated stage–discharge relationships (Kundzewicz and Robson, 2004). Data sets for large parts of Europe are available nowadays (e.g., for alpine, Mediterranean, continental, Baltic and Nordic regions), with thousands of stations and records which start from the 19th century. This amount of data covers a wide variety of catchments, from small (a few hundreds of hectares) to large (thousands of square kilometers; Steiru et al., 2017; Mediero et al., 2014). Nevertheless, the development of the hydraulic infrastructures in Europe associated with the increase in population density and a lack of undisturbed natural environments makes the measurements less representative of the natural flow conditions (Bertola et al., 2020). Recording a high-quality streamflow measurements unaffected by potential anthropogenic disturbances and which is suitable for large-scale trend analysis is a major challenge (Hisdal et al., 2001, 2007; Shorthouse and Arnell, 1997).
The need for a reference river flow data set of near-pristine catchments has been largely recognized worldwide and has been supported by some international programs. The most famous is the FRIEND program, an initiative supported by the UNESCO International Hydrological Programme (IHO), the European Water Archive (EWA), and the European Environmental Agency (EPA), which allows us to share scientific information to improve methods applicable in water resources planning and management (Arnell, 1999). However, updating streamflow measures and installing new flow meters is not straightforward in Europe. In particular, the organization has become complicated by regional and local jurisdictions, including political, administrative, and technical constraints, as well as economical barriers (Viglione et al., 2010). In the absence of national or regional data sets, the Global Runoff Data Center (GRDC) can represent a valid global database of large continental river flow measures in Europe (Haddeland et al., 2010; Stahl et al., 2010), despite most studies preferring to combine data with model-derived predictions to fill gaps and reconstruct the time series to have a comparable length (Dai et al., 2009). Hence, the challenge is combining the results of regional and national streamflow measures into a pan-European-scale study of annual streamflow volume trends which uses a consistent methodology based on a consolidated and validated continental river flow data set. In fact, detecting and assessing European trends in annual streamflow volumes can represent a strategic point in water management policies both in terms of flood security, drought and desertification control (Ban et al., 2015). National and basin authorities could plan tailored irrigation methods in targeted areas and encourage the use of non-conventional water for irrigation or funding modernization of irrigation systems where streamflow negative trends occur (Rogger et al., 2017). On the contrary, authorities could promote the use of natural water retention measures (http://nwrm.eu/, last access: 22 October 2021) and best management practices (Urbonas and Stahre, 1993) in territories affected by a positive trend (Brooks, 2013).
The purpose of the present study is, therefore, to provide an analysis of the spatiotemporal variability in annual streamflow volumes on the European continent, starting from the analysis of consolidated observations over a long time period with a particular emphasis on flow regimes relevant for water resource management, especially in Mediterranean areas. Specifically, the added value of the present work is (i) to characterize annual streamflow volume trends over the entire European continent, using a long time period of actual river flow observations, (ii) to deepen the analysis on annual streamflow volume trends in the Mediterranean area, which is under increasing pressure due to climate change effects, (iii) to determine whether evidence of a marked inversion point in the annual streamflow volume availability can be found directly in the observations, and (iv) to discuss the outcomes of the present study with previous investigations.
2.1 River flow data selection and processes
A large data set of daily river streamflow records measured by 3913 gauged stations over the entire European continent was analyzed to characterize the continental patterns of the river flow regime over time. The original data set, compiled by the authors, merges stations from five different databases, i.e., the Global Runoff Data Base (GRDC), the European Water Archive (EWA); the Italian ISPRA HIS national database (http://www.hiscentral.isprambiente.gov.it/hiscentral/default.aspx, last access: 22 October 2021), the Portuguese national database (http://snirh.pt/, last access: 22 October 2021) and the Spanish national database (http://ceh-flumen64.cedex.es/anuarioaforos/default.asp, last access: 22 October 2021), consisting of observed streamflow, recorded between 1900 and 2013. Unfortunately, not all the gauged stations have been working at the same time (Fig. 1) and with a consistent and reliable data set.
To assess the reliability of streamflow daily values of each gauged station of the original data set, a quality control and a homogeneity assessment were performed, according the methodologies described in Buishand (1984), Chu et al. (2020), Ghiggi et al. (2021), and Kundzewicz et al. (2015).
The quality control was conducted in succession on daily and aggregated time series, using the following steps reported in Gudmundsson and Seneviratne (2016):
identifying evident malfunctions, consistent gaps, and hydrograph disturbances, such as the presence of dams or reservoirs, by a visual hydrograph inspection;
excluding catchments with a drainage area larger than 100 000 km2 to minimize the possibility that human actives can significantly cause disturbances to the streamflow time series (Piniewski et al., 2018);
removing values with negative daily streamflow values;
removing time series with more than 2 years of missing data.
The homogeneous detection of the data series was performed by combining the following four different tests (Gudmundsson et al., 2017): (i) the standard normal homogeneity test of Alexandersson (1986), (ii) the Buishand range test (Buishand, 1982), (iii) the Pettitt test (Pettitt, 1979), and (iv) the von Neumann ratio test (Von Neumann, 1941). Homogeneity tests were carried out using the “iki.dataclim” statistical package for R (Orlowsky et al., 2014). The streamflow time series were considered as being consistent when the null hypothesis at the 1 % level was accepted at least in three of four tests (ECA & D; Gudmundsson and Seneviratne, 2016; Peña-Angulo et al., 2019).
Despite the fact that potential levels of human-induced alterations in the river flow regime could be still present in time series data after the application of the aforementioned controls, a certain degree of disturbance can be tolerated (Murphy et al., 2013). In order to further reduce the disturbance, high flow conditions were not investigated, and we focused the analysis on annual streamflow volumes.
The application of quality control and homogeneity tests led us to discard 428 series of data. Thus, 3485 stations, providing at least 61 years of flow records, were selected and assembled into a data set that guarantees the best balance between the necessity to investigate a data set that is as large as possible (which covers a large part of the continent and a nearly complete period of analysis) and to detect historical variability. The location of the different gauged stations is reported in Fig. 2 on a physical European map, while some statistics are reported in Table 1. The selected gauged stations belong to more than 40 European countries, especially those over the Mediterranean basin. In fact, about one-third are located in Spain, France and Italy. The data set provided time series data from 1950 to 2013 (i.e., a 63-year study period has been considered as being the maximum record length able to guarantee a uniformity in the series of data among the stations, as reported in Fig. 1).
About 90 % of stations belongs to catchments with a size less than 1000 km2, of which more than 50 % range from 1 to 200 km2. The temporal autocorrelation level of the selected near-natural daily streamflow series was verified by calculating the lag-1 serial autocorrelation coefficient with a 95 % of confidence bound, as suggested by Khaliq et al. (2009), Kulkarni and von Storch (1995), and von Storch (1995). All autocorrelation coefficients were found to be included in the confidence bounds, as shown in Fig. 3, and, therefore, they can be considered as being ready for the trend identification.
2.2 Trend detection
The trend magnitude of a hydro-meteorological series of data is usually estimated using the Theil–Sen estimator (Theil, 1950; Sen, 1968), a non-parametric test usually adopted to indicate the monotonic trend and amplitude of change per unit of time. It is a robust estimate of the magnitude of a trend in hydrological and climatic time series, as demonstrated in the scientific literature (e.g., Kundzewicz and Robson, 2004; Stahl et al., 2010; Burn et al., 2012). In the present study, the slope of the Theil–Sen line, known as the Theil–Sen slope or Sen's slope, was calculated on the annual anomalies in streamflow volumes, which is an alternative modality with respect to the common application on direct streamflow data (Birsan et al., 2005). The annual anomalies in volumes were detected by comparing them with the baseline obtained by averaging annual streamflow volumes in the entire period of observation for each station. This strategy allows us to emphasize trends, minimizing the random errors derived from uncorrected measures or unexpected signals, as already tested by Pandžić and Trninić (1992). A positive anomaly indicates that the observed annual streamflow volume is greater than the baseline, while a negative anomaly indicates the observed annual streamflow volume is lower than the baseline. The value of each anomaly was divided for the catchment area, thus obtaining volume anomalies per unit of the area. Moreover, the significance of the annual streamflow volume trend was tested by adopting a non-parametric statistical approach based on the Mann–Kendall (MK; Mann, 1945; Kendall, 1975) test. Such a test has already shown its robustness in trend detection in the case of non-normally distributed data, such as the meteorological and hydrological series (e.g., Yue and Wang, 2002; Yue et al., 2003; Yue and Pilon, 2004; Piniewski et al., 2018). In particular, if the result of the test is returned as H=1, it indicates a rejection of the null hypothesis (i.e., presence of trend) at the alpha significance level (here assumed to be equal to 0.05). Conversely, if H=0, then it indicates a failure to reject the null hypothesis at the alpha significance level (i.e., no presence of a trend). In the present study, we decided to maintain the integrity of the data set by focusing on the same time frame for the entire study domain without splitting it into periods of different lengths. This procedure was already proposed in the study of Durocher et al. (2019), who preferred to discard all those time series with missing data over a threshold rather than consider different time windows.
3.1 Annual streamflow volume trends in Europe
The anomalies in the annual streamflow volumes for each gauged station were calculated, and in Fig. 4a and b, an example of positive and negative trend evaluated thought the slope of the Theil–Sen line and confirmed by MK test for two stations located in central Europe is reported.
Results found that, in 95 % of the European gauged stations (i.e., 3310 stations), the MK test confirmed the presence of a trend in annual streamflow volumes. In general, 70 % positive and 30 % negative trends in annual streamflow volume anomalies are recognized, with a clear positive trend in the northern regions and negative trend in the southern ones, as shown in Fig. 5. These results are certainly representative of the selected time window, despite not all gauged stations providing full-length series during the same period, because the data selection maintains a trade-off between the record length and spatial coverage over the continent, allowing the removal of those limited by a wide time series gap or evident uncertainties/inconsistencies.
By adopting the subdivision of the European continent in the four macro-regions, as provided by Gudmundsson et al. (2017) and Fernandez-Carrillo et al. (2019), i.e., boreal, continental, Atlantic, and Mediterranean areas, the results show a marked negative trend in annual streamflow volumes, especially in Mediterranean region, with about 90 % of the stations having a negative trend. The percentages of positive and negative trends for each macro-region are summarized in Table 2. The results reveal that, on average, a decrease in the annual streamflow volume of about m3/(km−2 yr−2) in Mediterranean areas and an increase of about 0.5×103 m3/(km−2 yr−2) in northern regions occur.
The spatial pattern of the annual streamflow volume trend, reported in Fig. 5, appears broadly consistent with the findings obtained in the previous sub-regional studies of Piniewski et al. (2018), Ilnicki et al. (2014), Bormann and Pinter (2017), Bard et al. (2015), Milly et al. (2005), Milliman et al. (2008), Manabe et al. (2004), and Dai et al. (2009). Although based on observed streamflow time series with many differences (i.e., time interval, time length, methodology of measurement, etc.), such as sometimes being affected by local river regulation or hydraulic infrastructure and often completed with model-derived data, these studies predominantly found positive trends in regions close to the Atlantic Ocean and North Sea and negative trends in areas close to the Mediterranean Sea.
The European spatial pattern of the annual streamflow volume trend also appears congruent with the observed European long-term precipitation and temperature changes, as shown in Fig. 6a and b. Specifically in Fig. 6a, the annual streamflow volume trends were overlapped with the daily mean precipitation trend maps obtained by E-OBS gridded data set 20.0e (https://www.ecad.eu/, last access: 22 October 2021 – Morice et al., 2012) for the same selected time period of daily streamflow series (i.e., 1950–2013).
Concerning precipitation changes, the Mediterranean regions are affected by a marked negative trend (even below −3 mm per decade), while the boreal and Atlantic regions are characterized by a positive trend which can overcome 10 mm per decade. The spatial distribution over the continent, of both patterns, appears perfectly congruent with the findings in annual streamflow volumes, as shown in Fig. 6.
Despite the spatial annual streamflow volume trend being very clear at a synoptic scale (i.e., increase in annual streamflow volumes in northern Europe and vice versa in southern Europe), in some local cases it can be the opposite. In northern Germany, the Scandinavian peninsula, and the eastern part of the Alps, positive and negative annual streamflow volume trends are mixed. This can be closely linked to complexity of snowmelt processes in glacier or mountain basins and the potential interactions between groundwater levels and river flows, as suggested by Renard et al. (2008), Birsan et al. (2005), and Pelliciotti et al. (2010). The authors found that, in some regions, such as southeastern England, northeastern France, and Denmark, the contribution of the aquifer to streamflow is high especially in the summer periods. Various studies, moreover, have demonstrated that the mechanisms of interactions between groundwater and river flow contribute to moderate the influence of climate change drivers on streamflow; conversely, basins with less productive aquifers show a more direct response to climate drivers (Fleig et al., 2010; Laizé and Hannah, 2010).
Concerning air temperature changes, the works of Stagge et al. (2017), Vicente-Serrano et al. (2014), Spinoni et al. (2015), Zeng et al. (2012), Willems (2013), and Madsen et al. (2014) confirm a global increase in mean temperatures, with a marked trend in Mediterranean areas, where air temperature is expected to increase by up to 0.3 ∘C per decade (as found in this study). The increase in air temperature directly impacts glacierized and snow-dominated basins, where it may be responsible for the increase in runoff volume during the last 60 years due to the loss of ice masses (Sommer et al., 2020); however, depending on the basin elevation and trend in precipitation, some glaciers might have lost some sensitivity to an increased runoff production as a consequence of higher temperatures since there has not been more ice to melt and because, at high elevations, the temperature might be not warm enough to counterbalance the precipitation trend. In summary, for glacierized basins (or those that use to be) there might be a causal effect of temperature on increased runoff volume (although this effect might have lost in time for some of them, as explained below), while, for the others, precipitation again seems to be the main driver of the runoff trend, as can be seen over the Alps by the contrasting trend found between the Italian side (negative) and continental side (positive), which reflects the trend in precipitation. On the other hand, a temperature increase can negatively impact runoff over energy-limited environments by increasing evapotranspiration (Teuling et al., 2013; Avanzi et al., 2020), so some catchments might have experienced a reduced runoff trend as a consequence of this warming. This might explain the negative runoff trend found for some basins at high latitudes.
3.2 Annual streamflow volume trend in Mediterranean area
Focusing on the main Mediterranean river catchments (according to the European Environmental Agency classification), the number of stations with a positive and negative Theil–Sen slope for each catchment was computed, and the results are reported in Fig. 7. In all main river basins in Spain, France, and Italy, negative trends of annual streamflow volumes prevail. A larger magnitude of negative annual streamflow volume trends is found in the Garonne and Rhone river basins, respectively, of about m3/(km−2 yr−2) and m3/(km−2 yr−2). No basin with a marked artifact trend is found, as demonstrated by the very close distances of the 25th and 75th percentiles from the median slope value, which, thus, confirms the trend homogeneities inside each basin.
A negative trend over the entire Mediterranean basin is also confirmed by the analysis performed on the mean annual streamflow volume produced in this area. The annual streamflow volumes of each station were standardized by their mean value, and then the standardized annual streamflow volumes of all stations were averaged. The result is reported in Fig. 8, where the standardized annual streamflow volumes are smoothed by a simple rolling average, with a sliding window of 5-year length, shown along with the 25th and 75th percentile trends. When the standardized annual streamflow volume is greater than 1, it means that the annual streamflow volume is greater than the average of annual streamflow volumes and vice versa if standardized annual streamflow volume is lower than 1. The former case can be considered as being a positive signal of annual streamflow volume exceedance, whereas in the latter an annual streamflow volume deficit is found. Figure 8 shows a change in the annual streamflow volume pattern between 1980 and 1985, where the values move from positive to negative availabilities with respect to the mean of the annual streamflow volume observations. This finding is consistent with the results found by Hannaford et al. (2013) on the marked decrease in low flow regimes in southern Europe in the last 30 years and with the conclusions found in the work of the International Panel of Climate Change (IPCC) on climate change prospective (IPCC, 2007), which highlighted how, in the Northern Hemisphere, climate change effects that reduce water resource availability have increased notably from the post-1980 period.
This study closes the gap between regional studies on annual streamflow volume trend and a continental-scale pattern of its spatiotemporal variability. Starting from a data set constituted by more than 3000 gauged stations over more than 40 countries across Europe, anomalies in the annual streamflow volume were computed, and the Theil–Sen line slope was evaluated for each catchment over a recorded period from 1950 to 2013. A clear and undisputed trend pattern in the annual streamflow volume is recognized by the statistical analysis, showing marked negative trends in the Mediterranean areas and positive trends in the northern regions of Europe. All main Mediterranean river basins reveal negative trends in the annual streamflow volume, with an expected decrease in the annual streamflow volume of about m3/(km−2 yr−2). On the contrary, in the northern regions of Europe, a positive increase in annual streamflow volume is expected to be, on average, about 0.5×103 m3/(km−2 yr−2). This trend pattern agrees with the increase in temperatures and the decrease in precipitation volumes detected by long-term observations on European continent. Indeed, these observations confirm an increase in drought situations in the southern regions of Europe, whereas they reveal an increase in precipitation volumes and runoff production in northern European countries. In the Mediterranean area, the effect of climate change has caused an inversion of the annual streamflow volume availability with respect to the mean of observations, i.e., from positive to negative values, starting from about 1985. In the recent 30-year period (1985–2013), the streamflow volumes are consistently lower than the average availability of the period 1950–2013.
The results of this study, therefore, can pave the way for more detailed quantitative analysis of annual streamflow volume variability (especially during different seasons) to meet the needs of managing water resources in agricultural, industrial, and civil sectors.
The codes are available by contacting the authors.
All data used in this work are of public domain and freely downloadable at the links quoted in the text.
SC led the investigation, validation, data curation, and visualization and wrote the original draft. AC took responsibility for the investigation, validation, and visualization and reviewed and edited the paper. CM and GV were involved with the conceptualization and investigation and reviewed and edited the paper. DM developed the methodology, did the formal analysis, curated the data, reviewed and edited the paper, acquired the funding, and administered the project. LB conceptualized the research, developed the methodology, acquired the resources, reviewed and edited the paper, and supervised the project.
The authors declare that they have no conflict of interest.
Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
This article is part of the special issue “Changes in the Mediterranean hydrology: observation and modeling”. It is not associated with a conference.
This study was developed in the context of IrriGate project “Toward a smart and flexible irrigation management in gravity-fed irrigation contexts” funded by Regione Lombardia (PSR 1.2.01; year 2019).
This research has been supported by the Regione Lombardia (grant no. 201901319885).
This paper was edited by María José Polo and reviewed by two anonymous referees.
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