Verification Of The Standard Vector Data Model For Interoperability Of River-Geospatial Information,
2014
City University of New York (CUNY)
Verification Of The Standard Vector Data Model For Interoperability Of River-Geospatial Information, Hyungjin Shin, Hyosok Chae, Euiho Hwang
International Conference on Hydroinformatics
Recently, two international standard organizations, ISO and OGC, have done the work of standardization for GIS. Current standardization work for providing interoperability among GIS DB focuses on the design of open interfaces. But, this work has not considered procedures and methods for designing river geospatial data. Eventually, river geospatial data has its own model. When we share the data by open interface among heterogeneous GIS DB, differences between models result in the loss of information. In this study a plan was suggested both to respond to these changes in the information envirnment and to provide a future Smart River-based river …
Evaluation Of Reservoir Model Integration With Deterministic And Probabilistic Streamflow Forecasts,
2014
City University of New York (CUNY)
Evaluation Of Reservoir Model Integration With Deterministic And Probabilistic Streamflow Forecasts, Gökçen Uysal, Aynur Şensoy, A. Arda Şorman, M. Cansaran Ertaş, Emmanuel Roulin
International Conference on Hydroinformatics
Due to the increase in water demand and hydropower energy, it is getting more important to operate hydraulic structures in an efficient manner while sustaining multiple demands. Especially, companies, governmental agencies, consultant offices require effective, practical integrated tools and decision support frameworks to operate reservoirs, cascades of run-of-river plants and related elements such as canals by merging hydrological and reservoir simulation/optimization models with various numerical weather predictions, radar and satellite data. The model performance is highly related with the streamflow forecast, related uncertainty and its consideration in the decision making. While deterministic weather predictions and its corresponding streamflow forecasts directly …
Overview Of Coupling Of Data, Models And Information Through The Web Using Existing Standards,
2014
City University of New York (CUNY)
Overview Of Coupling Of Data, Models And Information Through The Web Using Existing Standards, Gerben De Boer, Fedor Baart, Bernhard P. J. Becker, Bert Jagers
International Conference on Hydroinformatics
Assessment of environmental status and integral safety requires combination of information from many sources, coming from either databases or increasingly via live model (scenario) simulations. Many of these models require input from one another, sometimes unidirectional, but more and more two-directional as well. Many protocols and frameworks are available for model coupling, often based on open standards and implementations. Previous overviews of coupling protocols have focused on data exchange volume, data complexity, invasiveness into existing models and support for specific programming languages. We extend the overview using recent developments in web-based protocols and focus on the suitability for internet-based data …
Using Smart Grid Technologies To Protect Human Health In Water Distribution Systems,
2014
City University of New York (CUNY)
Using Smart Grid Technologies To Protect Human Health In Water Distribution Systems, Graham Symmonds
International Conference on Hydroinformatics
Since the introduction of the Safe Drinking Water Act, there has been marked reduction in the number of water-borne disease outbreaks attributed to water treatment systems. Over the same period, however, the percentage of disease outbreaks attributable to defects in the distribution system has increased exponentially. Interestingly, as a result of the continuous aging infrastructure employed by our water utilities, the number of water-borne disease cases has increased in the last decade. The smart grid for water can be used to significantly improve both the utility's understanding of water quality in the distribution system, but can dramatically increase the response …
Build A Matching System Between Catchment Complexity And Model Complexity For Better Flow Modelling,
2014
City University of New York (CUNY)
Build A Matching System Between Catchment Complexity And Model Complexity For Better Flow Modelling, Lu Zhuo, Dawei Han
International Conference on Hydroinformatics
Hydrological models play an important role in water resource management and flood risk management. However, there is a lack of comparative analysis on the performance of those models to guide hydrologists to choose suitable models for the individual catchment conditions. This paper describes a two-level meta-analysis to develop a matching system between catchment complexity (based on catchment significant features CSFs) and model complexity (based on model types). The objective is to use the available CSFs information for choosing the most suitable model type for a given catchment. In this study, the CSFs include the elements of climate, soil type, land …
Comparative Study On Water Resources Assessment Between Kenya And England,
2014
City University of New York (CUNY)
Comparative Study On Water Resources Assessment Between Kenya And England, Hesbon Otieno, Dawei Han
International Conference on Hydroinformatics
Water resources systems are important for various uses such as agriculture, water supply, energy, transportation, recreation, ecosystems, among others. Design of water resources systems is of increasing importance due to the ever increasing demand for efficient water management. This study explores water resources assessment in two different regions with contrasting climate, socio-economic development level and data availability. The Thames catchment in England is in the temperate zone, which is data rich and is at a high socioeconomic development level; while, The Tana catchment in Kenya is in the tropics, which is data poor and at a low socioeconomic development level. …
Empirical Regression Model Using Ndvi, Meteorological Factors For Estimation Of Wheat Yield In Yunnan, China,
2014
City University of New York (CUNY)
Empirical Regression Model Using Ndvi, Meteorological Factors For Estimation Of Wheat Yield In Yunnan, China, Jing Huang, Qiang Dai, Huimin Wang, Dawei Han
International Conference on Hydroinformatics
Crop yield estimation is of great importance to food security. NDVI, as an effective crop monitoring tool, is extensively used in crop yield estimation. However there are few studies conducted in the regions where mixed crops are grown. In this study, a statistical approach for crop area identification is proposed and applied to wheat in Jianshui County in the Nanpan River Basin, Yunnan Province of China. Based on the correlation analysis between MODIS NDVI data and crop yield, the planting areas are identified, as well as the best periods for a reliable estimation. Regression models are presented to predict the …
Numerical Study On Climate Variation And Population Growth Impacts On An Australian Subtropical Water Supply Reservoir,
2014
City University of New York (CUNY)
Numerical Study On Climate Variation And Population Growth Impacts On An Australian Subtropical Water Supply Reservoir, Edoardo Bertone, Rodney Stewart, Hong Zhang, Kelvin O'Halloran
International Conference on Hydroinformatics
Proactively managing high manganese (Mn) concentrations in drinking water supply reservoirs can be problematic for treatment plant operators. Typically, Mn monitoring is conducted manually and costly on a regular basis (e.g. weekly) throughout the entire year through water samplings and laboratory analysis. However, in the major water supply reservoir of the sub-tropical Gold Coast City region in Australia (i.e. Hinze Dam), a vertical profiling system (VPS) was installed and enabled a real-time data acquisition of many physical parameters of water. But these VPS parameters are not able to directly collect and analyse Mn concentrations. In the present study, a Decision …
Rainfall Interpolation Models Obtained By Means Of Evolutionary Computing,
2014
City University of New York (CUNY)
Rainfall Interpolation Models Obtained By Means Of Evolutionary Computing, Maritza L. Arganis, Margarita Preciado, Katya Rodriguez, Alfredo Ocon, Ramón Domínguez Mora
International Conference on Hydroinformatics
Complete missing records is a matter of great importance in hydrology problems. In this work we applied genetic algorithms and genetic programming models for precipitation in Cutzamala River Basin, Mexico, such models depend on the geographical coordinates and altitude of climatologic stations currently in operation. The obtained models were applied to interpolate 24 hours rainfalls for three analyzed storms. The Genetic programming model outperformed the genetic algorithm in the estimation of precipitation 24 hours estimated on a site, with respect to the measured data.
Development Of An Autonomous And Intelligent System For Residential Water End Use Classification,
2014
City University of New York (CUNY)
Development Of An Autonomous And Intelligent System For Residential Water End Use Classification, Khoi Anh Nguyen, Rodney Stewart, Hong Zhang
International Conference on Hydroinformatics
Urban water supplies need to be ingeniously managed as a result of urbanisation and diminishing dam yield reliability. The advanced management of urban water consumption is deemed essential to maintain a sustainable water future. Understanding how, when and why water is used is vital for managing demand in cost-effective and equitable ways. Detailed knowledge on the quantities of water used in different circumstances gives critical knowledge for forecasting water and planning for water security (Stewart et al., 2010; 2011). Current intelligent water metering systems allow for the high resolution time series reading of water consumption (Beal et al. 2011). Such …
A Novel Decision Support System For Optimized Sewer Infrastructure Asset Management,
2014
City University of New York (CUNY)
A Novel Decision Support System For Optimized Sewer Infrastructure Asset Management, Ben Ward, Dragan A. Savić
International Conference on Hydroinformatics
This paper approaches the sewerage asset management challenge from a UK perspective by outlining a comprehensive methodology capable of optimising the performance of sewerage infrastructure networks using a series of Hydroinformatic tools. In order to define, evaluate and forecast the future performance of sewerage assets, a unique deterioration model is established to predict the future condition of the network. The model analyses historic CCTV survey information to identify deterioration trends based on key pipe characteristics. Against, this improved understanding of past, current and future condition, a collapse rate is predicted by correlating historic failures against the observed sewer condition profiles. …
High Resolution Bathymetric Lidar Data To Hydraulic - Modelling A Mountain Stream By Bathymetric Lidar Data,
2014
City University of New York (CUNY)
High Resolution Bathymetric Lidar Data To Hydraulic - Modelling A Mountain Stream By Bathymetric Lidar Data, Wolfgang Dobler, Frank Steinbacher, Ramona Baran, Markus Aufleger
International Conference on Hydroinformatics
Knowledge about the hydraulic situation in a mountain torrent is relevant to quantify flood risks, to study sediment transport and to assess the waterbodies’ ecology. To conduct reliable calculations, high-quality terrain data of riverbeds, riverbanks and floodplains are required. Typically, digital terrain models (DTMs) of floodplains are derived from classical airborne laserscanning (red wavelength) together with terrestrial surveys along riverbeds and riverbanks. Usually these are restricted to a limited number of cross sections. The terrestrial surveys are necessary because those laser systems cannot penetrate through the water column of the observed waterbodies. Consequently, data for the geometry of riverbeds and …
Quantification Of Rainfall Forecast Uncertainty And Its Impact On Flood Forecasting,
2014
City University of New York (CUNY)
Quantification Of Rainfall Forecast Uncertainty And Its Impact On Flood Forecasting, Niels Van Steenbergen, Patrick Willems
International Conference on Hydroinformatics
Rainfall forecast errors are considered to be the key source of uncertainty in flood forecasting. To quantify the rainfall forecast uncertainty itself and its impact on the total flood forecast uncertainty, a Monte-Carlo based statistical method has been developed. This method takes into account the dependency of the rainfall forecast error with the lead time and the rainfall amount. The forecasted rainfall errors are described by truncated normal distributions, allowing to quantify the full uncertainty distribution of the deterministic rainfall forecast. By means of Monte-Carlo sampling and taking the forecast error autocorrelation into account, the impact of the rainfall forecast …
Experimental Investigation Of Flow-Interactions Between Above And Below Ground Drainage Systems Through A Manhole,
2014
City University of New York (CUNY)
Experimental Investigation Of Flow-Interactions Between Above And Below Ground Drainage Systems Through A Manhole, Matteo Rubinato, James Shucksmith, Adrian J. Saul
International Conference on Hydroinformatics
The frequency, magnitude and impact of pluvial flooding events both in the UK and worldwide is forecast to increase due to: climate change (Butler and Davies 2011), the effects of urbanisation and urban creep (Semadeni‐Davies et al 2008) as well as aging drainage infrastructure (Ashley et al. 2004). Pluvial flood models (e.g. Leandro et al. 2008) are increasingly being used to assess flood risk, develop asset investment strategies and develop surface water management plans. However due to the nature of urban flood events, it is very difficult to calibrate and validate such pluvial flood models. In particular the rate of …
Using The Improved Magnitude Method To Forecast Damage Level Caused By Typhoon 9918,
2014
City University of New York (CUNY)
Using The Improved Magnitude Method To Forecast Damage Level Caused By Typhoon 9918, Ryusuke Hashimura
International Conference on Hydroinformatics
In 1999, Typhoon 9918 struck Kyushu Island, which is located in Western Japan. The maximum anomaly storm tide was estimated to be about 3 m along a coast. Due to the storm surge and wind waves the typhoon caused enormous damage to maritime structures. In this paper, the number of damage cases of maritime structures along the coastline caused by Typhoon 9918 is estimated by using the so-called Magnitude Method. The Magnitude Method is defined based on the maximum wind speed near the center and the size of the typhoon at a latitude of 30° N. The size of the …
Overcoming Hurdles In Real Time Modeling,
2014
City University of New York (CUNY)
Overcoming Hurdles In Real Time Modeling, Thomas Walski
International Conference on Hydroinformatics
Real time modeling and control sounds easy. Get data from the SCADA system, run the appropriate model and push the results back to the controls. What could be difficult about that? Plenty. Anyone attempting to do this work probably has run into some of the institutional, technical and personal hurdles in actually making this sort of system work. This paper will discuss the hurdles and ways to deal with them. The most daunting hurdle is that of security. Most modeling happens on computers connected to the internet. Water utility managers are justifiably terrified of all the bad things that lurk …
Analyzing And Modelling Sewage Discharge Process Of Typical Area Using Time Series Analysis Method,
2014
City University of New York (CUNY)
Analyzing And Modelling Sewage Discharge Process Of Typical Area Using Time Series Analysis Method, Sisi Zhou, Pengfei Du, Yong Pang, Shuyi Li
International Conference on Hydroinformatics
This study is conducted to develop a mathematical model for typical sewage discharge area like residential area, commercial district and institutional area. An approach of time series analysis is applied to build the model involving model selection, parameter estimation, simulation and prediction. The description of sewage discharge process is divided into two parts: Periodic change and stationary random process. Periodic change process is simulated by harmonic analysis which composites a number of trigonometric function together. Stationary random process is described using Stationary time series including six steps: stationary test of the series; calculation of autocorrelation function and partial autocorrelation function …
Determining The Uncertainty Of The Water Level Residue Of A Numerical Model In The Malacca Strait,
2014
City University of New York (CUNY)
Determining The Uncertainty Of The Water Level Residue Of A Numerical Model In The Malacca Strait, Serene Hui Xin Tay, Seng Keat Ooi, Vladan Babovic
International Conference on Hydroinformatics
Geographically located between the Andaman Sea and the South China Sea, the water level in the Malacca Strait is indirectly driven by the tide of the two oceans: Indian Ocean and Pacific Ocean. With use of numerical models the tidal variations should be well represented in this area. However, when the model’s tidal representation is compared to the actual measurement of local coastal tidal gauges, the observed water level difference amount to more than +/- 30 cm. Based on a 15 years long time series of water level residuals (between 1992 to 2006), it is found that an annual seasonal …
Self-Organizing Maps For Knowledge Discovery From Corporate Databases To Develop Risk Based Prioritization For Stagnation,
2014
City University of New York (CUNY)
Self-Organizing Maps For Knowledge Discovery From Corporate Databases To Develop Risk Based Prioritization For Stagnation, Stephen Robert Mounce, Rebecca Sharpe, Vanessa Speight, Barrie Holden, Joby Boxall
International Conference on Hydroinformatics
Stagnation or low turnover of water within water distribution systems may result in water quality issues, even for relatively short durations of stagnation / low turnover if other factors such as deteriorated aging pipe infrastructure are present. As leakage management strategies, including the creation of smaller pressure management zones, are implemented increasingly more dead ends are being created within networks and hence potentially there is an increasing risk to water quality due to stagnation / low turnover. This paper presents results of applying data driven tools to the large corporate databases maintained by UK water companies. These databases include multiple …
Case-Based Reasoning Approach For Managing Water Quality Incidents In Distribution Systems,
2014
City University of New York (CUNY)
Case-Based Reasoning Approach For Managing Water Quality Incidents In Distribution Systems, Stephen Robert Mounce, Richard Mounce, Joby Boxall
International Conference on Hydroinformatics
Access to safe drinking water is universally considered as a fundamental human right and customers regard a reliable supply of safe, clean water as the most important aspect of the water supply service. However, water quality failures do occur, with some of the hardest to understand and manage occurring within distribution systems. In the UK, a regulatory process is applied in which water companies must report on significant water quality incidents, their causes, actions, responses, and outcomes. The Drinking Water Inspectorate (DWI) assesses these reports on an annual basis and their findings are made publically available. It is hypothesised here …
