78. Mesman G, van Thienen P (2015) Lekzoeken met hydraulische modellen. BTO 2015.064.
KWR Watercycle Research Institute, Nieuwegein
79. Martínez-Solano F, Iglesias-Rey P, Mora-Meliá D, Fuertes-Miquel V (2017) Exact
skeletonization method in water distribution systems for hydraulic and quality models. Proc
Eng 186:286–293
80. Ulanicki B, Zehnpfund A, Martinez F (1996) Simplification of water distribution network
models. In: Proc., 2nd Int. Conf. on Hydroinformatics, Zurich, Switzerland
81. Anderson E, Al-Jamal K (1995) Hydraulic-network simplification. J Water Resour Plan Manag
121:235–240
82. Giustolisi O, Laucelli D, Berardi L, Savic D (2012) Computationally efficient modeling method
for large water network analysis. J Hydraul Eng
83. Tsoukalas I, Kossieris P, Efstratiadis A, Makropoulos C (2016) Surrogate-enhanced evolutionary annealing simplex algorithm for effective and efficient optimization of water resources
problems on a budget. Environ Model Softw 77:122–142
84. Bragalli C, Fortini M, Todini E (2016) Enhancing knowledge in water distribution networks via
data assimilation. Water Resour Manag 186:3689–3706
85. Bragalli C, Fortini M, Todini E (2017) Data assimilation in water distribution systems. Proc Eng
186:506–513
86. Aisopou A, Stoianov I, Graham N (2012) In-pipe water quality monitoring in water supply
systems under steady and unsteady state flow conditions: a quantitative assessment. Water Res
46:235–246
87. Vreeburg J, Vloerbergh I, Van Thienen P, De Bont R (2013) Shared failure data for strategic
asset management. Water Sci Technol Water Suppl 13(4):1154–1160
88. Kwakkel M, Vloerbergh I, van Thienen P, Beuken R, Wols B, van Daal K (2015) 2015, uniform
failure registration: from data to knowledge. Water Asset Manag Int 10(4):18–22
89. Moerman A, Beuken R, Wols B (2017) Review on the development of uniform failure
registration (USTORE) in the netherlands. In: LESAM conference, Trondheim
90. EU (2019) AI & IoT standards. https://ec.europa.eu/knowledge4policy/foresight/topic/acceler
ating-technological-change-hyperconnectivity/online-resource/iot-standards_en.
Geopend
31 Jan 2020
91. EU 2019 WiFi4EU portal. https://wifi4eu.ec.europa.eu/#/home. Geopend 31 Jan 2020
92. EU (2019). ec.europa.eu. https://ec.europa.eu/digital-single-market/en/internet-of-things.
Geopend 30 Jan 2020
93. Makropoulos C, Savić D (2019) Urban hydroinformatics: past, present and future. Water 11
(10):1959
94. Veling E (2010) Approximations of impulse response curves based on the generalized moving
Gaussian distribution function. Adv in Water Resour 33(5):546–561. https://doi.org/10.1016/j.
advwatres.2010.02.009
95. von Asmuth J, van Geer F (2013) Kwaliteitsborging grondwaterstands- en stijghoogtegegevens:
op weg naar een landelijke standaard. KWR 2013.027," KWR Watercycle Research Institute &
TNO, Nieuwegein, Utrecht
110
M. Castro-Gama et al.
KWR Watercycle Research Institute, Nieuwegein
79. Martínez-Solano F, Iglesias-Rey P, Mora-Meliá D, Fuertes-Miquel V (2017) Exact
skeletonization method in water distribution systems for hydraulic and quality models. Proc
Eng 186:286–293
80. Ulanicki B, Zehnpfund A, Martinez F (1996) Simplification of water distribution network
models. In: Proc., 2nd Int. Conf. on Hydroinformatics, Zurich, Switzerland
81. Anderson E, Al-Jamal K (1995) Hydraulic-network simplification. J Water Resour Plan Manag
121:235–240
82. Giustolisi O, Laucelli D, Berardi L, Savic D (2012) Computationally efficient modeling method
for large water network analysis. J Hydraul Eng
83. Tsoukalas I, Kossieris P, Efstratiadis A, Makropoulos C (2016) Surrogate-enhanced evolutionary annealing simplex algorithm for effective and efficient optimization of water resources
problems on a budget. Environ Model Softw 77:122–142
84. Bragalli C, Fortini M, Todini E (2016) Enhancing knowledge in water distribution networks via
data assimilation. Water Resour Manag 186:3689–3706
85. Bragalli C, Fortini M, Todini E (2017) Data assimilation in water distribution systems. Proc Eng
186:506–513
86. Aisopou A, Stoianov I, Graham N (2012) In-pipe water quality monitoring in water supply
systems under steady and unsteady state flow conditions: a quantitative assessment. Water Res
46:235–246
87. Vreeburg J, Vloerbergh I, Van Thienen P, De Bont R (2013) Shared failure data for strategic
asset management. Water Sci Technol Water Suppl 13(4):1154–1160
88. Kwakkel M, Vloerbergh I, van Thienen P, Beuken R, Wols B, van Daal K (2015) 2015, uniform
failure registration: from data to knowledge. Water Asset Manag Int 10(4):18–22
89. Moerman A, Beuken R, Wols B (2017) Review on the development of uniform failure
registration (USTORE) in the netherlands. In: LESAM conference, Trondheim
90. EU (2019) AI & IoT standards. https://ec.europa.eu/knowledge4policy/foresight/topic/acceler
ating-technological-change-hyperconnectivity/online-resource/iot-standards_en.
Geopend
31 Jan 2020
91. EU 2019 WiFi4EU portal. https://wifi4eu.ec.europa.eu/#/home. Geopend 31 Jan 2020
92. EU (2019). ec.europa.eu. https://ec.europa.eu/digital-single-market/en/internet-of-things.
Geopend 30 Jan 2020
93. Makropoulos C, Savić D (2019) Urban hydroinformatics: past, present and future. Water 11
(10):1959
94. Veling E (2010) Approximations of impulse response curves based on the generalized moving
Gaussian distribution function. Adv in Water Resour 33(5):546–561. https://doi.org/10.1016/j.
advwatres.2010.02.009
95. von Asmuth J, van Geer F (2013) Kwaliteitsborging grondwaterstands- en stijghoogtegegevens:
op weg naar een landelijke standaard. KWR 2013.027," KWR Watercycle Research Institute &
TNO, Nieuwegein, Utrecht
110
M. Castro-Gama et al.