“…This article aimed at developing the water use cycle framework (Calianno et al, 2017) at the operational level with a monitoring campaign of water uses at the end-user scale in the municipality of Montana (Switzerland). It provided the first irrigation monitoring in the area and a classification of drinking water data according to their spatial distribution, the type of building and the permanency of habitat.…”
Section: Resultsmentioning
confidence: 99%
“…In this work, the concept of the water use cycle (Calianno et al, 2017) is further developed with a focus on the temporal and spatial variability of water uses. A monitoring campaign was set up in the municipality of Montana on the enduser scale to collect water demand time series.…”
Section: Methodsmentioning
confidence: 99%
“…Field visits were carried every month during two years (2015-2016) to collect water meter data at the building scale: houses, residential and commercial buildings, hotels. These water volumes correspond to the delivery scale of the water use cycle (Calianno et al, 2017). In total, out of the water meters of Montana were monitored.…”
Section: Drinking Water Delivery Dataset From the Field Monitoringmentioning
confidence: 99%
“…The second issue is the lack of available water use data at sufficient temporal resolution necessary to assess such short-term water demand peaks and to validate water demand models, as noted in previous studies (Milano et al, 2013;Collet et al, 2015;Fabre et al, 2016). With respect to drinking water uses, data at the end-user scale in mountain areas are most often at insufficient temporal resolution, because they usually come from annual water billing (Calianno et al, 2017). This situation contrasts with high resolution residential water demand datasets available in large cities using smart metering techniques (Gurung et al, 2016).…”
Section: Introductionmentioning
confidence: 99%
“…The first objective of this article was to develop a monitoring strategy based on the water use cycle framework (Calianno et al, 2017) to collect weekly water use data at end-user scale and to apply it to a case study, in the Swiss Alps (the municipality of Montana). The second objective was to create conceptual tools for the assessment of water uses: the water use regime describing the seasonality of water demand and the water use density, highlighting the territorial footprint of water use, per unit area (mm).…”
Lack of water use data at the user scale is frequently noted in integrated water management and water demand modelling studies. This situation affects particularly mountain tourist areas, where high seasonal water demand related to the variation of temporary population are rarely documented. Irrigation is also a major water use in moutain territories but is not commonly measured. This paper proposes a framework for local-scale monitoring of seasonal water use behaviours and their territorial inprint. A monitoring strategy was developed to collect water demand data at thin spatio-temporal scales which were analysed using two concepts: (i) the water use regime, describing the dynamics of water uses throughout the year using normalised values, and (ii) the water use density, expressing the territorial footprint of a water use, in terms of unit area. This strategy was applied in the alpine tourist municipality of Montana (Switzerland). A two-year monitoring campaign of irrigation and drinking water uses was carried out combining in-field measurement (water meters) with interviews of water users. The temporal resolution of the collected water use dataset (bi-weekly, daily) was sufficient to assess the specific water demand patterns and the short-term water use peaks responsible for water stress in Alpine tourist regions. It provided the first irrigation monitoring in the area and a classification of drinking water data according to their spatial distribution, the type of building and the permanency of residents. The water use density method gives a new prespective on the spatial intensity of water uses, highlighting the importance of garden irrigation in Montana. Also, the water use regime method identified July as the period of water demand peaking. The monitoring of water uses at such thin temporal scale constitutes the necessary dataset for the creation of water balance models that accurately reproduce the effective water use behaviours.
“…This article aimed at developing the water use cycle framework (Calianno et al, 2017) at the operational level with a monitoring campaign of water uses at the end-user scale in the municipality of Montana (Switzerland). It provided the first irrigation monitoring in the area and a classification of drinking water data according to their spatial distribution, the type of building and the permanency of habitat.…”
Section: Resultsmentioning
confidence: 99%
“…In this work, the concept of the water use cycle (Calianno et al, 2017) is further developed with a focus on the temporal and spatial variability of water uses. A monitoring campaign was set up in the municipality of Montana on the enduser scale to collect water demand time series.…”
Section: Methodsmentioning
confidence: 99%
“…Field visits were carried every month during two years (2015-2016) to collect water meter data at the building scale: houses, residential and commercial buildings, hotels. These water volumes correspond to the delivery scale of the water use cycle (Calianno et al, 2017). In total, out of the water meters of Montana were monitored.…”
Section: Drinking Water Delivery Dataset From the Field Monitoringmentioning
confidence: 99%
“…The second issue is the lack of available water use data at sufficient temporal resolution necessary to assess such short-term water demand peaks and to validate water demand models, as noted in previous studies (Milano et al, 2013;Collet et al, 2015;Fabre et al, 2016). With respect to drinking water uses, data at the end-user scale in mountain areas are most often at insufficient temporal resolution, because they usually come from annual water billing (Calianno et al, 2017). This situation contrasts with high resolution residential water demand datasets available in large cities using smart metering techniques (Gurung et al, 2016).…”
Section: Introductionmentioning
confidence: 99%
“…The first objective of this article was to develop a monitoring strategy based on the water use cycle framework (Calianno et al, 2017) to collect weekly water use data at end-user scale and to apply it to a case study, in the Swiss Alps (the municipality of Montana). The second objective was to create conceptual tools for the assessment of water uses: the water use regime describing the seasonality of water demand and the water use density, highlighting the territorial footprint of water use, per unit area (mm).…”
Lack of water use data at the user scale is frequently noted in integrated water management and water demand modelling studies. This situation affects particularly mountain tourist areas, where high seasonal water demand related to the variation of temporary population are rarely documented. Irrigation is also a major water use in moutain territories but is not commonly measured. This paper proposes a framework for local-scale monitoring of seasonal water use behaviours and their territorial inprint. A monitoring strategy was developed to collect water demand data at thin spatio-temporal scales which were analysed using two concepts: (i) the water use regime, describing the dynamics of water uses throughout the year using normalised values, and (ii) the water use density, expressing the territorial footprint of a water use, in terms of unit area. This strategy was applied in the alpine tourist municipality of Montana (Switzerland). A two-year monitoring campaign of irrigation and drinking water uses was carried out combining in-field measurement (water meters) with interviews of water users. The temporal resolution of the collected water use dataset (bi-weekly, daily) was sufficient to assess the specific water demand patterns and the short-term water use peaks responsible for water stress in Alpine tourist regions. It provided the first irrigation monitoring in the area and a classification of drinking water data according to their spatial distribution, the type of building and the permanency of residents. The water use density method gives a new prespective on the spatial intensity of water uses, highlighting the importance of garden irrigation in Montana. Also, the water use regime method identified July as the period of water demand peaking. The monitoring of water uses at such thin temporal scale constitutes the necessary dataset for the creation of water balance models that accurately reproduce the effective water use behaviours.
Specific consumption is a key parameter in estimating the water demand and further optimising the sizing of Drinking Water Supply Systems (DWSS) infrastructure. DWSS are globally used to provide safe drinking water in urban and rural settings, and their design cost is critical for water authorities, especially in low-income countries. In this study, the optimal of the specific consumption value is carried out in Burkina Faso (West Africa). The methodology adopted a statistical analysis of operational data collected on 40 DWSS systems in Burkina Faso, further completed by a multiple correspondence analysis (MCA) of determinants of the water demand and cluster identification and analysis through Agglomerative Hierarchical Clustering (AHC). The results show that the actual consumption is lower than the common estimate used in sizing. Statistical analysis revealed that actual specific consumption is affected by various parameters, the most relevant of which are the reliance on alternative resources, the presence of waterways and the local climate seasonality. The average actual specific consumption is estimated at 3.83 ± 3.43 L/people/day. Finally, a decision tree for the choice of suitable specific consumption value as a function of the physical settings of a given area is proposed for optimal sizing of DDWS systems in Burkina Faso.
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