scholarly journals Observation analysis tool for the FREEWAT GIS environment for water resources management

2016 ◽  
Author(s):  
Massimiliano Cannata ◽  
Jakob Neumann ◽  
Mirko Cardoso ◽  
Rudy Rossetto ◽  
Laura Foglia
Keyword(s):  
Time Series ◽  
Water Resources ◽  
Water Resources Management ◽  
Model Development ◽  
Model Complexity ◽  
Analysis Tool ◽  
Environmental Modelling ◽  
Resources Management ◽  
Simulation Techniques ◽  
Gis Environment

The Observation Analysis Tool was developed for the FREEWAT GIS environment in order to integrate the data offered by state-of-the-art monitoring systems directly into numerical simulations for water resources management. Time-series are an important aspect of environmental modelling, and are becoming more available through the requirements of the water framework directive as well as more important with the advancement of numerical simulation techniques and increased model complexity. OAT enables time-series visualisation, pre-processing of data for model development, and post-processing of model results. The tool contains an expandable Python library of processes, incorporating a participatory approach to development. As well as processing MODFLOW results, OAT can act as a pre-processor for calibration observations, and will be expanded to incorporate its processing capabilities directly into the calibration process.

scholarly journals Observation analysis tool for the FREEWAT GIS environment for water resources management

2016 ◽  
Author(s):  
Massimiliano Cannata ◽  
Jakob Neumann ◽  
Mirko Cardoso ◽  
Rudy Rossetto ◽  
Laura Foglia
Keyword(s):  
Time Series ◽  
Water Resource Management ◽  
Model Development ◽  
Model Complexity ◽  
Analysis Tool ◽  
Environmental Modelling ◽  
Management Tools ◽  
Resources Management ◽  
Simulation Techniques ◽  
Gis Environment

Time-series are an important aspect of environmental modelling, and are becoming more available through the requirements of the water framework directive as well as more important with the advancement of numerical simulation techniques and increased model complexity. For this reason, within the H2020 FREEWAT project, which aims at facilitating the adoption of modeling for water resource management, the integration of a tool for time-series analysis and processing has been foreseen. As a result the Observation Analysis Tool was developed to enable time-series visualisation, pre-processing of data for model development, and post-processing of model results. Observation Analysis Tool can act as a pre-processor for calibration observations, and will be expanded to incorporate its processing capabilities directly into the calibration process. The tool consists in an expandable Python library and in an interface integrated in the QGIS FREEWAT plug-in which include a large number of modelling capabilities, hydro-chemical data management tools and calibration capacity. The tool has been extensively used and tested in different european institutions, to collect a number of indications to drive the future development.

scholarly journals Observation analysis tool for the FREEWAT GIS environment for water resources management

2016 ◽  
Author(s):  
Massimiliano Cannata ◽  
Jakob Neumann ◽  
Mirko Cardoso ◽  
Rudy Rossetto ◽  
Laura Foglia
Keyword(s):  
Time Series ◽  
Water Resource Management ◽  
Model Development ◽  
Model Complexity ◽  
Analysis Tool ◽  
Environmental Modelling ◽  
Management Tools ◽  
Resources Management ◽  
Simulation Techniques ◽  
Gis Environment

Time-series are an important aspect of environmental modelling, and are becoming more available through the requirements of the water framework directive as well as more important with the advancement of numerical simulation techniques and increased model complexity. For this reason, within the H2020 FREEWAT project, which aims at facilitating the adoption of modeling for water resource management, the integration of a tool for time-series analysis and processing has been foreseen. As a result the Observation Analysis Tool was developed to enable time-series visualisation, pre-processing of data for model development, and post-processing of model results. Observation Analysis Tool can act as a pre-processor for calibration observations, and will be expanded to incorporate its processing capabilities directly into the calibration process. The tool consists in an expandable Python library and in an interface integrated in the QGIS FREEWAT plug-in which include a large number of modelling capabilities, hydro-chemical data management tools and calibration capacity. The tool has been extensively used and tested in different european institutions, to collect a number of indications to drive the future development.

scholarly journals Long time series of daily evapotranspiration in China based on the SEBAL model and multisource images and validation

2021 ◽  
Vol 13 (8) ◽  
pp. 3995-4017
Author(s):  
Minghan Cheng ◽  
Xiyun Jiao ◽  
Binbin Li ◽  
Xun Yu ◽  
Mingchao Shao ◽  
...  
Keyword(s):  
Time Series ◽  
Water Resources ◽  
Observational Data ◽  
Water Resources Management ◽  
Environmental Conditions ◽  
Scale Validation ◽  
Point Scale ◽  
Resources Management ◽  
Basin Scale ◽  
Long Time

Abstract. Satellite observations of evapotranspiration (ET) have been widely used for water resources management in China. An accurate ET product with a high spatiotemporal resolution is required for research on drought stress and water resources management. However, such a product is currently lacking. Moreover, the performances of different ET estimation algorithms for China have not been clearly studied, especially under different environmental conditions. Therefore, the aims of this study were as follows: (1) to use multisource images to generate a long-time-series (2001–2018) daily ET product with a spatial resolution of 1 km × 1 km based on the Surface Energy Balance Algorithm for Land (SEBAL); (2) to comprehensively evaluate the performance of the SEBAL ET in China using flux observational data and hydrological observational data; and (3) to compare the performance of the SEBAL ET with the MOD16 ET product at the point scale and basin scale under different environmental conditions in China. At the point scale, both the models performed best in the conditions of forest cover, subtropical zones, hilly terrain, or summer, respectively, and SEBAL performed better in most conditions. In general, the accuracy of the SEBAL ET (rRMSE = 44.91 %) was slightly higher than that of the MOD16 ET (rRMSE = 48.72 %). In the basin-scale validation, both the models performed better than in the point-scale validation, with SEBAL obtaining results superior (rRMSE = 13.57 %) to MOD16 (rRMSE = 32.84 %). Additionally, both the models showed a negative bias, with the bias of the MOD16 ET being higher than that of the SEBAL ET. In the daily-scale validation, the SEBAL ET product showed a root mean square error (RMSE) of 0.92 mm d−1 and an r value of 0.79. In general, the SEBAL ET product can be used for the qualitative analysis and most quantitative analyses of regional ET. The SEBAL ET product is freely available at https://doi.org/10.5281/zenodo.4243988 and https://doi.org/10.5281/zenodo.4896147 (Cheng, 2020a, b). The results of this study can provide a reference for the application of remotely sensed ET products and the improvement of satellite ET observation algorithms.

scholarly journals Assessment of Groundwater Resource in Climate Variability Context at Sinematiali (North of Côte d'Ivoire)

2020 ◽  
Vol 1 (5) ◽  
Author(s):  
Omer Zephir De Lasme ◽  
Avy Stephane Koffi ◽  
Dodo Guy Gnali Cedric
Keyword(s):  
Time Series ◽  
Water Resources ◽  
Climate Variability ◽  
Water Resources Management ◽  
Integrated Water Resources Management ◽  
Statistical Test ◽  
Groundwater Resource ◽  
Resources Management ◽  
Pettitt Test ◽  
Software Models

Study of climate variability gets great importance for integrated water resources management. This work examines impact of climate variability on the evolution of water resources in the Bandama sub-watershed at Sinematiali with a view of better management. The time series of rainfall and discharge were used as a database for this purpose. Known calculation hydrologic methods of Nicholson, Maillet as well as the statistical test for breaking detection (Pettitt test) were applied. The effective rain and recharge were estimated by using the ESPERE software models over the period 1980 to 1987. Climate variability is characterized by alternative season of wet, normal, and dry periods, and a pluviometry break occurred in 1984 year. The annual effective rain was assessed from 30 to 570 mm while recharge of aquifers estimated between 2 and 333 mm. This work constitutes a fundamental base for modeling water resources management at Sinematiali.

scholarly journals Long time series of daily evapotranspiration in China based on the SEBAL model and multisource images and validation

2020 ◽  
Author(s):  
Minghan Cheng ◽  
Xiyun Jiao ◽  
Binbin Li ◽  
Xun Yu ◽  
Mingchao Shao ◽  
...  
Keyword(s):  
Time Series ◽  
Water Resources ◽  
Observational Data ◽  
Water Resources Management ◽  
Environmental Conditions ◽  
Scale Validation ◽  
Point Scale ◽  
Resources Management ◽  
Basin Scale ◽  
Long Time

Abstract. Satellite observations of evapotranspiration (ET) have been widely used for water resources management in China. An accurate ET product with a high spatiotemporal resolution is required for research on drought stress and water resources management. However, such a product is currently lacking. Moreover, the performances of different ET estimation algorithms for China have not been clearly studied, especially under different environmental conditions. Therefore, the aims of this study were as follows: (1) to use multisource images to generate a long time series (2001–2018) daily ET product with a spatial resolution of 1 km × 1 km based on the Surface Energy Balance Algorithm for Land (SEBAL); (2) to comprehensively evaluate the performance of the SEBAL ET in China using flux observational data and hydrological observational data; (3) to compare the performance of the SEBAL ET with the MOD16 ET product at the point-scale and basin-scale under different environmental conditions in China. At the point-scale, both the models performed best in the conditions of forest cover, subtropical zones, hilly terrain, or summer, respectively, and SEBAL performed better in most conditions. In general, the accuracy of the SEBAL ET (rRMSE = 44.91 %) was slightly higher than that of the MOD16 ET (rRMSE = 48.72 %). In the basin-scale validation, both the models performed better than in the point-scale validation, with SEBAL obtaining superior results (rRMSE = 19.15 %) to MOD16 (rRMSE = 33.62 %). Additionally, both the models showed a negative bias, with the bias of the MOD16 ET being higher than that of the SEBAL ET. In the daily-scale validation, the SEBAL ET product showed an RMSE of 0.92 mm/d and an r-value of 0.79. In general, the SEBAL ET product can be used for the qualitative analysis and most quantitative analysis of regional ET. SEBAL ET product is freely available at https://doi.org/10.5281/zenodo.4218413 (Cheng, 2020). The results of this study can provide a reference for the application of remotely sensed ET products and the improvement of satellite ET observation algorithms.

scholarly journals Integration of the MODFLOW Lak7 package in the FREEWAT GIS modelling environment

2016 ◽  
Author(s):  
Massimiliano Cannata ◽  
Jakob Neumann ◽  
Mirko Cardoso ◽  
Rudy Rossetto ◽  
Laura Foglia ◽  
...  
Keyword(s):  
Surface Water ◽  
Groundwater Resources ◽  
Water Bodies ◽  
Model Complexity ◽  
Resources Management ◽  
Simulation Techniques ◽  
Modelling Environment ◽  
Surface Water Bodies ◽  
Gis Environment ◽  
Model Layer

The MODFLOW Lake Package is integrated into the FREEWAT GIS environment in order to simulate surface water - groundwater interaction using state of the art techniques for numerical simulations, thus allowing the improved consideration of surface water bodies for water resources management. Surface water bodies, both stationary and flowing, can strongly affect groundwater elevations and flow patterns which in turn may affect the qualitative and quantitative state of groundwater resources. With the advancement of numerical simulation techniques and increased model complexity, FREEWAT facilitates the usage of the lake package through existing QGIS tools to edit model layer geometry as well as an intuitive and simple user interface for the specification of constant and time variable lake properties as defined through MODFLOW.

scholarly journals Integration of the MODFLOW Lak7 package in the FREEWAT GIS modelling environment

2016 ◽  
Author(s):  
Massimiliano Cannata ◽  
Jakob Neumann ◽  
Mirko Cardoso ◽  
Rudy Rossetto ◽  
Laura Foglia ◽  
...  
Keyword(s):  
Surface Water ◽  
Groundwater Resources ◽  
Water Bodies ◽  
Model Complexity ◽  
Resources Management ◽  
Simulation Techniques ◽  
Modelling Environment ◽  
Surface Water Bodies ◽  
Gis Environment ◽  
Model Layer

The MODFLOW Lake Package is integrated into the FREEWAT GIS environment in order to simulate surface water - groundwater interaction using state of the art techniques for numerical simulations, thus allowing the improved consideration of surface water bodies for water resources management. Surface water bodies, both stationary and flowing, can strongly affect groundwater elevations and flow patterns which in turn may affect the qualitative and quantitative state of groundwater resources. With the advancement of numerical simulation techniques and increased model complexity, FREEWAT facilitates the usage of the lake package through existing QGIS tools to edit model layer geometry as well as an intuitive and simple user interface for the specification of constant and time variable lake properties as defined through MODFLOW.

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