Earth observation and DSS technical support tools for operational water management: User's feedback on MyWater project

被引:1
|
作者
van Andel, S. J. [1 ]
Stavrinos, E. [2 ]
van der Zwan, R. E. [3 ]
Alexandridis, T. K. [4 ]
机构
[1] UNESCO IHE Inst Water Educ, Integrated Water Syst & Governance Dept, Delft, Netherlands
[2] Hellen Minist Rural Dev & Food, Directorate Water Reclamat & Soil Water Resources, Athens, Greece
[3] Rijnland Water Board, Leiden, Netherlands
[4] Aristotle Univ Thessaloniki, Fac Agr, Lab Remote Sensing & GIS, GR-54006 Thessaloniki, Greece
关键词
remote sensing; hydrological models; water management;
D O I
10.1016/j.aaspro.2015.03.027
中图分类号
F3 [农业经济];
学科分类号
0202 ; 020205 ; 1203 ;
摘要
The aim of MyWater project (http://mywater-fp7.eu/) is to provide reliable information on water quantity, quality and usage for appropriate water management. This was achieved by joining three scientific research areas: earth observation (EO), catchment modelling and meteorology. Data from these different sources were integrated through an interface platform, which provides tailored services to the water manager, including support for irrigation activities in Nestos river plain (Greece) and early flood warning in Rijnland (The Netherlands). The platform includes tools for visualization and presentation of short-term prediction of the meteorological and hydrological conditions in maps and charts. It also allows the users to make analysis of time series of data, definition of warning alarms, and other tools useful for the water managers. MyWater's users played a key role, by defining the requirements during the development phase, and providing evaluation feedback towards the project's end. The aim of this work is to present the feedback from the users, after they had been trained on using MyWater's platform and information services. Participants were asked to reflect on the platforms' ease of use, speed performance. Secondly whether the data is easily to be retrieved and the catalogue is clear enough, and to what extend the platform could be customized. Results show that 75% of the questions concerning the Platform were answered with Good or Excellent, while 25% was marked as Average. Few participants raised their concern on the speed / performance they experienced with the platform, and indeed the internet band-width required for optimal use of the platform was not met all the time during the evaluation phase. With respect to the services offered, some participants indicated they would appreciate MyWater also to focus on water quality (e.g. salinity problems in irrigation water) and pollution. In its current version the MyWater platform focuses mainly on Water Resources Management. (C) 2015 The Authors. Published by Elsevier B.V.
引用
收藏
页码:232 / 241
页数:10
相关论文
共 13 条
  • [1] Operational tools for irrigation water management based on Earth observation: the DEMETER project
    Calera, Alfonso
    Jochum, M. Anna Osann
    [J]. REMOTE SENSING FOR AGRICULTURE, ECOSYSTEMS, AND HYDROLOGY VIII, 2006, 6359
  • [2] Earth Observation products for operational irrigation management: the PLEIADeS project
    D'Urso, G.
    Vuolo, F.
    Richter, K.
    Belmonte, A. Calera
    Osann, M. A.
    [J]. REMOTE SENSING FOR AGRICULTURE, ECOSYSTEMS, AND HYDROLOGY XI, 2009, 7472
  • [3] Earth Observation products for operational irrigation management in the context of the PLEIADeS project
    D'Urso, G.
    Richter, K.
    Calera, A.
    Osann, M. A.
    Escadafal, R.
    Garatuza-Pajan, J.
    Hanich, L.
    Perdigao, A.
    Tapia, J. B.
    Vuolo, F.
    [J]. AGRICULTURAL WATER MANAGEMENT, 2010, 98 (02) : 271 - 282
  • [4] Perspectives on user engagement of satellite Earth observation for water quality management
    Agnoli, Lara
    Urquhart, Erin
    Georgantzis, Nikolaos
    Schaeffer, Blake
    Simmons, Richard
    Hoque, Bilqis
    Neely, Merrie Beth
    Neil, Claire
    Oliver, Jacques
    Tyler, Andrew
    [J]. TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2023, 189
  • [5] Earth Observation-Based Operational Estimation of Soil Moisture and Evapotranspiration for Agricultural Crops in Support of Sustainable Water Management
    Petropoulos, George P.
    Srivastava, Prashant K.
    Piles, Maria
    Pearson, Simon
    [J]. SUSTAINABILITY, 2018, 10 (01)
  • [6] The LANDSUPPORT geospatial decision support system (S-DSS) vision: Operational tools to implement sustainability policies in land planning and management
    Terribile, Fabio
    Acutis, Marco
    Agrillo, Antonella
    Anzalone, Erlisiana
    Azam-Ali, Sayed
    Bancheri, Marialaura
    Baumann, Peter
    Birli, Barbara
    Bonfante, Antonello
    Botta, Marco
    Cavaliere, Federica
    Colandrea, Marco
    D'Antonio, Amedeo
    De Mascellis, Roberto
    De Michele, Carlo
    De Paoli, Gloria
    Della Monica, Camilla
    Di Leginio, Marco
    Ferlan, Mitja
    Ferraro, Giuliano
    Florea, Anca
    Hermann, Tamas
    Hoenig, Heike
    Jahanshiri, Ebrahim
    Jevsenak, Jernej
    Karpati, Veronika
    Langella, Giuliano
    Le, Quang Bao
    Lezzi, Daniele
    Loishandl, Harald
    Loudin, Sarah
    Manna, Piero
    Marano, Gina
    Marotta, Luigi
    Merticariu, Vlad
    Mileti, Florindo Antonio
    Minieri, Luciana
    Misev, Dimitar
    Montanarella, Luca
    Munafo, Michele
    Neuwirth, Martin
    Orefice, Nadia
    Pacsonyi, Imre
    Panagos, Panos
    Perego, Alessia
    Huu, Bang Pham
    Pinto, Francesco
    Prebeck, Kathrin
    Puig, Angela
    Pump, Judit
    [J]. LAND DEGRADATION & DEVELOPMENT, 2024, 35 (02) : 813 - 834
  • [7] An Approach to Use Earth Observation Data as Support to Water Management Issues in the Ethiopian Rift
    Bonetto, Sabrina
    Facello, Anna
    Cristofori, Elena Isotta
    Camaro, Walther
    Demarchi, Alessando
    [J]. CLIMATE CHANGE ADAPTATION IN AFRICA: FOSTERING RESILIENCE AND CAPACITY TO ADAPT, 2017, : 357 - 374
  • [8] CROP DATA RETRIEVAL USING EARTH OBSERVATION DATA TO SUPPORT AGRICULTURAL WATER MANAGEMENT
    Rolim, Joao
    Navarro, Ana
    Vilar, Pedro
    Saraiva, Catia
    Catalao, Joao
    [J]. ENGENHARIA AGRICOLA, 2019, 39 (03): : 380 - 390
  • [9] Application of Decision-Support Tools for Seasonal Water Supply Management that Incorporates System Uncertainties and Operational Constraints
    Wang, Hui
    Asefa, Tirusew
    Wanakule, Nisai
    Adams, Alison
    [J]. JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, 2020, 146 (06)
  • [10] Utilising Severn Trent Water's plant monitoring and control system to support operational decision management in water distribution
    Gwynne, MR
    Walton, WA
    [J]. IWSA SPECIALIZED CONFERENCE - NEW DEVELOPMENTS IN MODELLING, MONITORING AND CONTROL OF WATER SUPPLY SYSTEMS, 1997, 15 (02): : 149 - 157