The Experts below are selected from a list of 1941 Experts worldwide ranked by ideXlab platform
Dong Soo Kong - One of the best experts on this subject based on the ideXlab platform.
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development of web based Load Duration Curve system for analysis of total maximum daily Load and water quality characteristics in a waterbody
Journal of Environmental Management, 2012Co-Authors: Bernard A Engel, Youn Shik Park, Larry Theller, Indrajeet Chaubey, Dong Soo KongAbstract:Abstract In many states of the US, the total maximum daily Load program has been widely developed for watershed water quality restoration and management. However, the total maximum daily Load is often represented as an average daily pollutant Load based on average long-term flow conditions, and as such, it does not adequately describe the problems they aim to address. Without an adequate characterization of water quality problems, appropriate solutions cannot be identified and implemented. The total maximum daily Load approach should consider adequate water quality characterizations based on overall flow conditions rather than on a single flow event such as average daily flow. The Load Duration Curve, which provides opportunities for enhanced pollutant source and best management practice targeting both in the total maximum daily Load development and in water quality restoration efforts, has been used for the determination of appropriate total maximum daily Load targets. However, at least 30 min to an hour is needed for unskilled people based on our experiences to generate the Load Duration Curve using a desktop-based spreadsheet computer program. Therefore, in this study, the Web-based Load Duration Curve system ( https://engineering.purdue.edu/∼ldc/ ) was developed and applied to a study watershed for an analysis of the total maximum daily Load and water quality characteristics in the watershed. This system provides diverse options for Flow Duration Curve and Load Duration Curve analysis of a watershed of interest in a brief time. The Web-based Load Duration Curve system is useful for characterizing the problem according to flow regimes, and for providing a visual representation that enables an easy understanding of the problem and the total maximum daily Load targets. In addition, this system will be able to help researchers identify appropriate best management practices within watersheds.
Bernard A Engel - One of the best experts on this subject based on the ideXlab platform.
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development of web based Load Duration Curve system for analysis of total maximum daily Load and water quality characteristics in a waterbody
Journal of Environmental Management, 2012Co-Authors: Bernard A Engel, Youn Shik Park, Larry Theller, Indrajeet Chaubey, Dong Soo KongAbstract:Abstract In many states of the US, the total maximum daily Load program has been widely developed for watershed water quality restoration and management. However, the total maximum daily Load is often represented as an average daily pollutant Load based on average long-term flow conditions, and as such, it does not adequately describe the problems they aim to address. Without an adequate characterization of water quality problems, appropriate solutions cannot be identified and implemented. The total maximum daily Load approach should consider adequate water quality characterizations based on overall flow conditions rather than on a single flow event such as average daily flow. The Load Duration Curve, which provides opportunities for enhanced pollutant source and best management practice targeting both in the total maximum daily Load development and in water quality restoration efforts, has been used for the determination of appropriate total maximum daily Load targets. However, at least 30 min to an hour is needed for unskilled people based on our experiences to generate the Load Duration Curve using a desktop-based spreadsheet computer program. Therefore, in this study, the Web-based Load Duration Curve system ( https://engineering.purdue.edu/∼ldc/ ) was developed and applied to a study watershed for an analysis of the total maximum daily Load and water quality characteristics in the watershed. This system provides diverse options for Flow Duration Curve and Load Duration Curve analysis of a watershed of interest in a brief time. The Web-based Load Duration Curve system is useful for characterizing the problem according to flow regimes, and for providing a visual representation that enables an easy understanding of the problem and the total maximum daily Load targets. In addition, this system will be able to help researchers identify appropriate best management practices within watersheds.
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development of web based Load Duration Curve system for tmdl analysis
TMDL 2010: Watershed Management to Improve Water Quality Proceedings 14-17 November 2010 Hyatt Regency Baltimore on the Inner Harbor Baltimore Marylan, 2010Co-Authors: Jonggun Kim, Bernard A Engel, Youn Shik Park, Larry Theller, Indrajeet Chaubey, Joseph E Quansah, Kyoung Jae LimAbstract:ABSTRACT: Development of TMDLs requires quantification of flow Duration and Load Duration data for the waterbody of concern. Flow and Load Duration Curves help identify specific flow regimes for which water quality standards are violated. Similarly, Load reduction strategies for point and nonpoint source pollutants to meet TMDLs can be identified using the flow and Load Duration Curves. Traditionally, development of these Curves has been a time consuming process involving downLoading and processing of flow and water quality data, and plotting of the data in a format suggested by EPA. We have developed an online tool to automate this process. The on-line tool provides options to upLoad a user’s flow and water quality data. Alternatively, a user can select stream flow data from an existing USGS gauging station using a Google MapsTM interface for the tool. The Google Maps interface has allowed us to scale the applicability of this tool to any watershed within the continental US. We have provided training for the use of this tool to various stakeholder groups involved in TMDL development. The use of this tool has resulted in significant time savings for the groups involved in TMDL development. In addition, it provides a consistent approach of quantifying and interpreting flow and Load Duration Curves for different watersheds.
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development of web based Load Duration Curve for analysis of tmdl and water quality characteristics
2009 Reno Nevada June 21 - June 24 2009, 2009Co-Authors: Jonggun Kim, Bernard A Engel, Youn Shik Park, Larry Theller, Indrajeet Chaubey, Joseph E Quansah, Won Seok Jang, Kyoung Jae LimAbstract:Abstract: The total maximum daily Load (TMDL) program has been established for water quality restoration and management in watershed. The Load Duration Curve (LDC) has been used for appropriate TMDL targets determination. However, the related personals had to first learn to develop the LDC, and then collect flow and water quality data for a site of interest to generate LDC which is very much time-consuming. Thus, the web-based Load Duration Curve (LDC) System was developed using the Perl/CGI, GNUPLOT, JavaScript, and Google Map script for analysis of TMDL and water quality characteristics in watershed. This system provides users with various interfaces (flow and water quality input and upLoading) for flow and water quality input to the system for generating LDC. Also, Google Map based interface is developed to retrieve daily stream flow data from remote USGS-server. Then the LDC is generated using these data automatically in 3-4 seconds. The Web-based LDC system (https://engineering.purdue.edu/~ldc; http://www.envsys.co.kr/~ldc), developed in this study, is an useful tool for characterizing the problem according to flow condition and proving a visual display to easily understand the problem and the TMDL targets. In addition, this system will be able to help decide appropriate BMPs with generated result for the watershed.
Dietmar Lindenberger - One of the best experts on this subject based on the ideXlab platform.
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Optimization of power plant investments under uncertain renewable energy deployment paths: a multistage stochastic programming approach
Energy Systems, 2014Co-Authors: Michaela Fürsch, Stephan Nagl, Dietmar LindenbergerAbstract:Electricity generation from renewable energy sources (RES-E) is planned to increase significantly within the coming decades. However, due to uncertainty about the progress of necessary infrastructure investments, public acceptance and cost developments of renewable energies, the achievement of political plans is uncertain. Implementation risks of renewable energy targets are challenging for investment planning, because different shares of RES-E fundamentally change the optimal mix of dispatchable power plants. Specifically, uncertain future RES-E deployment paths induce uncertainty about the level and the steepness of the residual Load Duration Curve and the hourly residual Load structure. In this paper, we show how uncertain future RES-E penetration levels impact the electricity system and try to quantify effects for the Central European power market. We use a multi-stage stochastic investment and dispatch model to analyze effects on investment choices, electricity generation and system costs. Our main findings include that uncertainty about the achievement of RES-E targets significantly affects optimal investment and dispatch decisions. In particular, plants with a medium capital/operating cost ratio have a higher value under uncertainty. We find that this technology choice is mainly driven by the uncertainty about the level rather than about the structure of the residual Load. Furthermore, given larger investments in plants with medium capital/operating cost ratio under uncertainty, optimal investments in storage units are lower than under perfect foresight. In the case of the Central European power market, costs induced by the implementation risk of renewable energies are rather small compared to total system costs.
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optimization of power plant investments under uncertain renewable energy development paths a multistage stochastic programming approach
Research Papers in Economics, 2012Co-Authors: Michaela Fürsch, Stephan Nagl, Dietmar LindenbergerAbstract:Electricity generation from renewable energy sources (RES-E) is supposed to increase signi ficantly within the coming decades. However, uncertainty about the progress of necessary infrastructure investments, public acceptance and cost developments of renewable energies renders the achievement of political plans uncertain. Implementation risks of renewable energy targets are challenging for investment planning, because di fferent RES-E shares fundamentally change the optimal mix of dispatchable power plants. Speci cally, uncertain future RES-E deployment paths induce uncertainty about the steepness of the residual Load Duration Curve and the hourly residual Load structure. In this paper, we show how uncertain future RES-E penetrations impact the electricity system and try to quantify eff ects for the Central European power market. We use a multi-stage stochastic investment and dispatch model to analyze e ffects on investment choices, electricity generation and system costs. Our main findings include that the uncertain achievement of RES-E targets signi ficantly effects optimal investment decisions. First, a higher share of technologies with a medium capital/operating cost ratio is cost-efficient. Second, the value of storage units in systems with high RES-E penetrations might decrease. Third, in the case of the Central European power market, costs induced by the implementation risk of renewable energies seem to be rather small compared to total system costs.
Youn Shik Park - One of the best experts on this subject based on the ideXlab platform.
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development of web based Load Duration Curve system for analysis of total maximum daily Load and water quality characteristics in a waterbody
Journal of Environmental Management, 2012Co-Authors: Bernard A Engel, Youn Shik Park, Larry Theller, Indrajeet Chaubey, Dong Soo KongAbstract:Abstract In many states of the US, the total maximum daily Load program has been widely developed for watershed water quality restoration and management. However, the total maximum daily Load is often represented as an average daily pollutant Load based on average long-term flow conditions, and as such, it does not adequately describe the problems they aim to address. Without an adequate characterization of water quality problems, appropriate solutions cannot be identified and implemented. The total maximum daily Load approach should consider adequate water quality characterizations based on overall flow conditions rather than on a single flow event such as average daily flow. The Load Duration Curve, which provides opportunities for enhanced pollutant source and best management practice targeting both in the total maximum daily Load development and in water quality restoration efforts, has been used for the determination of appropriate total maximum daily Load targets. However, at least 30 min to an hour is needed for unskilled people based on our experiences to generate the Load Duration Curve using a desktop-based spreadsheet computer program. Therefore, in this study, the Web-based Load Duration Curve system ( https://engineering.purdue.edu/∼ldc/ ) was developed and applied to a study watershed for an analysis of the total maximum daily Load and water quality characteristics in the watershed. This system provides diverse options for Flow Duration Curve and Load Duration Curve analysis of a watershed of interest in a brief time. The Web-based Load Duration Curve system is useful for characterizing the problem according to flow regimes, and for providing a visual representation that enables an easy understanding of the problem and the total maximum daily Load targets. In addition, this system will be able to help researchers identify appropriate best management practices within watersheds.
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development of web based Load Duration Curve system for tmdl analysis
TMDL 2010: Watershed Management to Improve Water Quality Proceedings 14-17 November 2010 Hyatt Regency Baltimore on the Inner Harbor Baltimore Marylan, 2010Co-Authors: Jonggun Kim, Bernard A Engel, Youn Shik Park, Larry Theller, Indrajeet Chaubey, Joseph E Quansah, Kyoung Jae LimAbstract:ABSTRACT: Development of TMDLs requires quantification of flow Duration and Load Duration data for the waterbody of concern. Flow and Load Duration Curves help identify specific flow regimes for which water quality standards are violated. Similarly, Load reduction strategies for point and nonpoint source pollutants to meet TMDLs can be identified using the flow and Load Duration Curves. Traditionally, development of these Curves has been a time consuming process involving downLoading and processing of flow and water quality data, and plotting of the data in a format suggested by EPA. We have developed an online tool to automate this process. The on-line tool provides options to upLoad a user’s flow and water quality data. Alternatively, a user can select stream flow data from an existing USGS gauging station using a Google MapsTM interface for the tool. The Google Maps interface has allowed us to scale the applicability of this tool to any watershed within the continental US. We have provided training for the use of this tool to various stakeholder groups involved in TMDL development. The use of this tool has resulted in significant time savings for the groups involved in TMDL development. In addition, it provides a consistent approach of quantifying and interpreting flow and Load Duration Curves for different watersheds.
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development of web based Load Duration Curve for analysis of tmdl and water quality characteristics
2009 Reno Nevada June 21 - June 24 2009, 2009Co-Authors: Jonggun Kim, Bernard A Engel, Youn Shik Park, Larry Theller, Indrajeet Chaubey, Joseph E Quansah, Won Seok Jang, Kyoung Jae LimAbstract:Abstract: The total maximum daily Load (TMDL) program has been established for water quality restoration and management in watershed. The Load Duration Curve (LDC) has been used for appropriate TMDL targets determination. However, the related personals had to first learn to develop the LDC, and then collect flow and water quality data for a site of interest to generate LDC which is very much time-consuming. Thus, the web-based Load Duration Curve (LDC) System was developed using the Perl/CGI, GNUPLOT, JavaScript, and Google Map script for analysis of TMDL and water quality characteristics in watershed. This system provides users with various interfaces (flow and water quality input and upLoading) for flow and water quality input to the system for generating LDC. Also, Google Map based interface is developed to retrieve daily stream flow data from remote USGS-server. Then the LDC is generated using these data automatically in 3-4 seconds. The Web-based LDC system (https://engineering.purdue.edu/~ldc; http://www.envsys.co.kr/~ldc), developed in this study, is an useful tool for characterizing the problem according to flow condition and proving a visual display to easily understand the problem and the TMDL targets. In addition, this system will be able to help decide appropriate BMPs with generated result for the watershed.
Larry Theller - One of the best experts on this subject based on the ideXlab platform.
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development of web based Load Duration Curve system for analysis of total maximum daily Load and water quality characteristics in a waterbody
Journal of Environmental Management, 2012Co-Authors: Bernard A Engel, Youn Shik Park, Larry Theller, Indrajeet Chaubey, Dong Soo KongAbstract:Abstract In many states of the US, the total maximum daily Load program has been widely developed for watershed water quality restoration and management. However, the total maximum daily Load is often represented as an average daily pollutant Load based on average long-term flow conditions, and as such, it does not adequately describe the problems they aim to address. Without an adequate characterization of water quality problems, appropriate solutions cannot be identified and implemented. The total maximum daily Load approach should consider adequate water quality characterizations based on overall flow conditions rather than on a single flow event such as average daily flow. The Load Duration Curve, which provides opportunities for enhanced pollutant source and best management practice targeting both in the total maximum daily Load development and in water quality restoration efforts, has been used for the determination of appropriate total maximum daily Load targets. However, at least 30 min to an hour is needed for unskilled people based on our experiences to generate the Load Duration Curve using a desktop-based spreadsheet computer program. Therefore, in this study, the Web-based Load Duration Curve system ( https://engineering.purdue.edu/∼ldc/ ) was developed and applied to a study watershed for an analysis of the total maximum daily Load and water quality characteristics in the watershed. This system provides diverse options for Flow Duration Curve and Load Duration Curve analysis of a watershed of interest in a brief time. The Web-based Load Duration Curve system is useful for characterizing the problem according to flow regimes, and for providing a visual representation that enables an easy understanding of the problem and the total maximum daily Load targets. In addition, this system will be able to help researchers identify appropriate best management practices within watersheds.
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development of web based Load Duration Curve system for tmdl analysis
TMDL 2010: Watershed Management to Improve Water Quality Proceedings 14-17 November 2010 Hyatt Regency Baltimore on the Inner Harbor Baltimore Marylan, 2010Co-Authors: Jonggun Kim, Bernard A Engel, Youn Shik Park, Larry Theller, Indrajeet Chaubey, Joseph E Quansah, Kyoung Jae LimAbstract:ABSTRACT: Development of TMDLs requires quantification of flow Duration and Load Duration data for the waterbody of concern. Flow and Load Duration Curves help identify specific flow regimes for which water quality standards are violated. Similarly, Load reduction strategies for point and nonpoint source pollutants to meet TMDLs can be identified using the flow and Load Duration Curves. Traditionally, development of these Curves has been a time consuming process involving downLoading and processing of flow and water quality data, and plotting of the data in a format suggested by EPA. We have developed an online tool to automate this process. The on-line tool provides options to upLoad a user’s flow and water quality data. Alternatively, a user can select stream flow data from an existing USGS gauging station using a Google MapsTM interface for the tool. The Google Maps interface has allowed us to scale the applicability of this tool to any watershed within the continental US. We have provided training for the use of this tool to various stakeholder groups involved in TMDL development. The use of this tool has resulted in significant time savings for the groups involved in TMDL development. In addition, it provides a consistent approach of quantifying and interpreting flow and Load Duration Curves for different watersheds.
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development of web based Load Duration Curve for analysis of tmdl and water quality characteristics
2009 Reno Nevada June 21 - June 24 2009, 2009Co-Authors: Jonggun Kim, Bernard A Engel, Youn Shik Park, Larry Theller, Indrajeet Chaubey, Joseph E Quansah, Won Seok Jang, Kyoung Jae LimAbstract:Abstract: The total maximum daily Load (TMDL) program has been established for water quality restoration and management in watershed. The Load Duration Curve (LDC) has been used for appropriate TMDL targets determination. However, the related personals had to first learn to develop the LDC, and then collect flow and water quality data for a site of interest to generate LDC which is very much time-consuming. Thus, the web-based Load Duration Curve (LDC) System was developed using the Perl/CGI, GNUPLOT, JavaScript, and Google Map script for analysis of TMDL and water quality characteristics in watershed. This system provides users with various interfaces (flow and water quality input and upLoading) for flow and water quality input to the system for generating LDC. Also, Google Map based interface is developed to retrieve daily stream flow data from remote USGS-server. Then the LDC is generated using these data automatically in 3-4 seconds. The Web-based LDC system (https://engineering.purdue.edu/~ldc; http://www.envsys.co.kr/~ldc), developed in this study, is an useful tool for characterizing the problem according to flow condition and proving a visual display to easily understand the problem and the TMDL targets. In addition, this system will be able to help decide appropriate BMPs with generated result for the watershed.
