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 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 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.

scholarly journals Open Source for Water Management: including capabilities of MODFLOW-OWHM in the FREEWAT GIS modelling environment

2016 ◽  
Author(s):  
Iacopo Borsi ◽  
Rudy Rossetto ◽  
Massimiliano Cannata ◽  
Giovanna De Filippis ◽  
Matteo Ghetta
Keyword(s):  
Surface Waters ◽  
Water Resource Management ◽  
Complex Problem ◽  
Gis Analysis ◽  
Management Tools ◽  
Post Process ◽  
Process Procedures ◽  
Real World Applications ◽  
Modelling Environment ◽  
Gis Environment

FREEWAT is an ongoing GIS environment to serve as pre- and post-processor for running simulations of surface-/groundwater interaction, with the possibility to activate several features accounting for the different water stresses. This paper reports the capability related to address water resource management problems, by activating management tools available in the MODFLOW-OWHM code. The latter is integrated in FREEWAT, which appears as composite plugin of the well-know QGIS software (QGIS, 2016). Therefore, all the necessary pre- and post-process procedures can be run effectively within QGIS, also in conjunction with the several tools for GIS analysis already included in QGIS. It turns out a simple and intuitive user interface to manage the simulation of complex problem in which the mutual interaction among surface waters, groundwaters and anthropic water demand/supply terms can be handled. The development phase of such tools is already at an advanced stage, while next work will be focused on producing real-world applications to serve as tutorial for interest Users.

scholarly journals A forecasting of stock trading price using time series information based on big data

2021 ◽  
Vol 11 (3) ◽  
pp. 2548
Author(s):  
Soo-Tai Nam ◽  
Chan-Yong Jin ◽  
Seong-Yoon Shin
Keyword(s):  
Time Series ◽  
Big Data ◽  
Stock Price ◽  
Euclidean Distance ◽  
Time Series Data ◽  
Series Data ◽  
Analysis Tool ◽  
Large Set ◽  
Data Generation ◽  
Management Tools

Big data is a large set of structured or unstructured data that can collect, store, manage, and analyze data with existing database management tools. And it means the technique of extracting value from these data and interpreting the results. Big data has three characteristics: The size of existing data and other data (volume), the speed of data generation (velocity), and the variety of information forms (variety). The time series data are obtained by collecting and recording the data generated in accordance with the flow of time. If the analysis of these time series data, found the characteristics of the data implies that feature helps to understand and analyze time series data. The concept of distance is the simplest and the most obvious in dealing with the similarities between objects. The commonly used and widely known method for measuring distance is the Euclidean distance. This study is the result of analyzing the similarity of stock price flow using 793,800 closing prices of 1,323 companies in Korea. Visual studio and Excel presented calculate the Euclidean distance using an analysis tool. We selected “000100” as a target domestic company and prepared for big data analysis. As a result of the analysis, the shortest Euclidean distance is the code “143860” company, and the calculated value is “11.147”. Therefore, based on the results of the analysis, the limitations of the study and theoretical implications are suggested.

scholarly journals A retrospective on hydrological modelling based on half a century with the HBV model

2021 ◽  
Author(s):  
Jan Seibert ◽  
Sten Bergström
Keyword(s):  
Water Resource Management ◽  
Model Development ◽  
Data Availability ◽  
Model Complexity ◽  
Management Planning ◽  
Wide Range ◽  
Modelling Studies ◽  
History Of ◽  
Hbv Model ◽  
Simple Models

Abstract. Hydrological models are important tools that are commonly used as the basis for water resource management planning. In the 1970s the development of several relatively simple models started and a number of so-called conceptual (or bucket-type) models were suggested. In these models, the complex and heterogeneous hydrological processes in a catchment are represented by a limited number of storage elements and fluxes between these. While a major motivation for such relatively simple models in the early days were computational limitations, today some of these models are still used frequently despite vastly increased computational opportunities. The HBV model, which was first applied about 50 years ago in Sweden, is a typical example of a conceptual catchment model and has gained large popularity over the past 50 years. During several model intercomparisons, the HBV model performed well despite (or because of) its relatively simple model structure. Here, the history of model development from thoughtful considerations of different model structures to modelling studies using hundreds of catchments and cloud computing facilities, is described. Furthermore, the wide range of model applications is discussed. The aim is to provide an understanding of the background of model development and a basis for addressing the balance between model complexity and data availability, which will face hydrologists also in the coming decades.

scholarly journals Open Source for Water Management: including capabilities of MODFLOW-OWHM in the FREEWAT GIS modelling environment

2016 ◽  
Author(s):  
Iacopo Borsi ◽  
Rudy Rossetto ◽  
Massimiliano Cannata ◽  
Giovanna De Filippis ◽  
Matteo Ghetta
Keyword(s):  
Surface Waters ◽  
Water Resource Management ◽  
Complex Problem ◽  
Gis Analysis ◽  
Management Tools ◽  
Post Process ◽  
Process Procedures ◽  
Real World Applications ◽  
Modelling Environment ◽  
Gis Environment

FREEWAT is an ongoing GIS environment to serve as pre- and post-processor for running simulations of surface-/groundwater interaction, with the possibility to activate several features accounting for the different water stresses. This paper reports the capability related to address water resource management problems, by activating management tools available in the MODFLOW-OWHM code. The latter is integrated in FREEWAT, which appears as composite plugin of the well-know QGIS software (QGIS, 2016). Therefore, all the necessary pre- and post-process procedures can be run effectively within QGIS, also in conjunction with the several tools for GIS analysis already included in QGIS. It turns out a simple and intuitive user interface to manage the simulation of complex problem in which the mutual interaction among surface waters, groundwaters and anthropic water demand/supply terms can be handled. The development phase of such tools is already at an advanced stage, while next work will be focused on producing real-world applications to serve as tutorial for interest Users.

scholarly journals Open Source for Water Management: including capabilities of MODFLOW-OWHM in the FREEWAT GIS modelling environment

2016 ◽  
Author(s):  
Iacopo Bosi ◽  
Rudy Rossetto ◽  
Massimiliano Cannata ◽  
Giovanna De Filippis ◽  
Matteo Ghetta
Keyword(s):  
Surface Waters ◽  
Water Resource Management ◽  
Complex Problem ◽  
Gis Analysis ◽  
Management Tools ◽  
Post Process ◽  
Process Procedures ◽  
Real World Applications ◽  
Modelling Environment ◽  
Gis Environment

FREEWAT is an ongoing GIS environment to serve as pre- and post-processor for running simulations of surface-/groundwater interaction, with the possibility to activate several features accounting for the different water stresses. This paper reports the capability related to address water resource management problems, by activating management tools available in the MODFLOW-OWHM code. The latter is integrated in FREEWAT, which appears as composite plugin of the well-know QGIS software (QGIS, 2016). Therefore, all the necessary pre- and post-process procedures can be run effectively within QGIS, also in conjunction with the several tools for GIS analysis already included in QGIS. It turns out a simple and intuitive user interface to manage the simulation of complex problem in which the mutual interaction among surface waters, groundwaters and anthropic water demand/supply terms can be handled. The development phase of such tools is already at an advanced stage, while next work will be focused on producing real-world applications to serve as tutorial for interest Users.

scholarly journals An interrupted time series analysis of the lockdown policies in India: a national-level analysis of COVID-19 incidence

2021 ◽  
Author(s):  
Winter M Thayer ◽  
Md Zabir Hasan ◽  
Prithvi Sankhla ◽  
Shivam Gupta
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Incidence Rate ◽  
Case Reports ◽  
National Level ◽  
Model Development ◽  
Interrupted Time Series ◽  
Interrupted Time Series Analysis ◽  
Additional Time ◽  
Series Analysis

Abstract India implemented a national mandatory lockdown policy (Lockdown 1.0) on 24 March 2020 in response to Coronavirus Disease 2019 (COVID-19). The policy was revised in three subsequent stages (Lockdown 2.0–4.0 between 15 April to 18 May 2020), and restrictions were lifted (Unlockdown 1.0) on 1 June 2020. This study evaluated the effect of lockdown policy on the COVID-19 incidence rate at the national level to inform policy response for this and future pandemics. We conducted an interrupted time series analysis with a segmented regression model using publicly available data on daily reported new COVID-19 cases between 2 March 2020 and 1 September 2020. National-level data from Google Community Mobility Reports during this timeframe were also used in model development and robustness checks. Results showed an 8% [95% confidence interval (CI) = 6–9%] reduction in the change in incidence rate per day after Lockdown 1.0 compared to prior to the Lockdown order, with an additional reduction of 3% (95% CI = 2–3%) after Lockdown 4.0, suggesting an 11% (95% CI = 9–12%) reduction in the change in COVID-19 incidence after Lockdown 4.0 compared to the period before Lockdown 1.0. Uptake of the lockdown policy is indicated by decreased mobility and attenuation of the increasing incidence of COVID-19. The increasing rate of incident case reports in India was attenuated after the lockdown policy was implemented compared to before, and this reduction was maintained after the restrictions were eased, suggesting that the policy helped to ‘flatten the curve’ and buy additional time for pandemic preparedness, response and recovery.

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