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Integration Of Trmm Rainfall In Numerical Model For Pesticide Prediction In Subtropical Climate, Manika Gupta, N.K. Garg, Prashant K. Srivastava, Tanvir Islam 2014 City University of New York (CUNY)

Integration Of Trmm Rainfall In Numerical Model For Pesticide Prediction In Subtropical Climate, Manika Gupta, N.K. Garg, Prashant K. Srivastava, Tanvir Islam

International Conference on Hydroinformatics

Rain gauge data in developing countries are usually very limited, which constrains most of the hydrological modelling applications. The satellite based rainfall estimates could be a promising choice and hence can be used as a surrogate to ground-based rainfall. However, the usefulness of these products needs to be evaluated for hydrological application such as for pesticide predictions. The present study compares the contaminant transport simulation with the utilization of Tropical Rainfall Measuring Mission (TRMM) rainfall compared with rain gauge data from the field site. Through this study, transport trends of the pesticide, Thiram, a dithiocarbamate, at different time and depth …


Using Multi-Scale Uncertainty Information And Specific Forecast Skill To Improve Reservoir Operations, Thomas S. Lowry, Nathalie Voisin, Mark S. Wigmosta 2014 City University of New York (CUNY)

Using Multi-Scale Uncertainty Information And Specific Forecast Skill To Improve Reservoir Operations, Thomas S. Lowry, Nathalie Voisin, Mark S. Wigmosta

International Conference on Hydroinformatics

Optimization of reservoir operations to time series of forecasted inflows are constrained by a set of multiple objectives that span many time scales, however the temporally evolving skill of the forecasts are usually not considered in the objective functions. For example, a flow forecast time series extending from 1 day to 6 months consists of a medium range flow forecast that draws its skill from initial conditions and weather forecasts and a seasonal flow forecast that relies on the initial conditions only. The skill of the medium range flow forecast is the daily and aggregated values with a range of …


Study On Water Age In An Estuary Using Three-Dimensional Models, Yuheng Ren, Binliang Lin, Jian Sun 2014 City University of New York (CUNY)

Study On Water Age In An Estuary Using Three-Dimensional Models, Yuheng Ren, Binliang Lin, Jian Sun

International Conference on Hydroinformatics

The age of water (AW) concept is applied in the Pearl River Estuary to investigate the water exchange process in three-dimensional space and its seasonal variation. A three-dimensional AW model is built based on the advanced hydrodynamic model MIKE3, and the model has been verified against a field survey dataset in the Pearl River Estuary. Using this model, the spatio-temporal distributions of water age are numerically determined in response to hydrodynamic factors. The predictions indicate that the mean AW values inside the Pearl River Estuary during the wet season and the dry season are approximately 10 days and 25 days, …


Urban Water Demand Characterization And Short-Term Forecasting – The Icewater Project Approach, Antonio Candelieri, Dante Conti, Davide Cappellini, Francesco Archetti 2014 City University of New York (CUNY)

Urban Water Demand Characterization And Short-Term Forecasting – The Icewater Project Approach, Antonio Candelieri, Dante Conti, Davide Cappellini, Francesco Archetti

International Conference on Hydroinformatics

An approach based on time series clustering and Support Vector Regression (SVR) is proposed to characterize typical daily urban water demand patterns and use them to perform short term forecasts. Time series clustering is aimed at retrieving the hourly quantity of water supplied during each day within a specific time window (e.g. last one or two years). A suitable distance measure has been considered to capture differences in shape and volume between time series. The final goal is to group similar daily water demand curves and then summarize them in correspondent “prototypal” patterns. A post processing step is then performed …


Mtn Mobile Money Technology As A Convinient Option For Water Utility Bills In Uganda, Agnes Namuli 2014 City University of New York (CUNY)

Mtn Mobile Money Technology As A Convinient Option For Water Utility Bills In Uganda, Agnes Namuli

International Conference on Hydroinformatics

In the past, the public struggled to stand long hours and travelling long distances to pay watebills in Uganda urban centres. This made people become reluctant to pay for water bills leading to continious water cut offs and loosing trust in the National Water and Sewerage Cooperation in Uganda. The use of mobile money technology has changed and made access to water in the urban centres more effective and efficiency. The convenience of MTN Mobile money to the public came as a real time solution and has eliminated delays in updating customer accounts as well as reduce on the physical …


Water Resources Contribution To Economic Growth In Erdos City: Model And Demonstration, Yong Zhao, Guiqing Jiang, Fuliang Yu, Jiaqi Zhai, Benqing Ruan, Kai Wang 2014 City University of New York (CUNY)

Water Resources Contribution To Economic Growth In Erdos City: Model And Demonstration, Yong Zhao, Guiqing Jiang, Fuliang Yu, Jiaqi Zhai, Benqing Ruan, Kai Wang

International Conference on Hydroinformatics

Erdos City has been one of the fastest growing economic regions in China in the past twenty years, whose average annual economic growth rate has exceeded 20%. However, water resources shortage is becoming increasingly significant in constraint on social development and has gradually developed to be one of primary weakest factors. Based on the analysis of main factors promoting economic growth in Erdos City with Cobb-Douglas production function in economics, the economic growth model involving water resources availability and coal output has been established and the data conversion method considering water consumption efficiency and water consumption structural change has been …


Setting Priorities On The Functional Status Of Hydraulic Structures In Mountainous Catchments, V. Juliette Cortes, Simone Sterlacchini, Thom Bogaard, Simone Frigerio, Luca Schenato, Alessandro Pasuto 2014 City University of New York (CUNY)

Setting Priorities On The Functional Status Of Hydraulic Structures In Mountainous Catchments, V. Juliette Cortes, Simone Sterlacchini, Thom Bogaard, Simone Frigerio, Luca Schenato, Alessandro Pasuto

International Conference on Hydroinformatics

The frequent inspection of hydraulic structures in mountain catchments is important due to the changing interaction among water-related processes that take place in the context of hydro-meteorological hazards such as debris flow and flash floods. At first level inspections, reports from survey protocols carried out by trained citizen-volunteers are combined to provide an index that represent the status of the structure. The survey protocols aim at identifying needs for cleaning of obstructions or to pre-screen potential problems for a second level inspection or more technical and detailed inspection. Thus, reports are focused on the functional status for the following parameters: …


Opensdm - An Open Sensor Data Management Tool, David Camhy, Günter Gruber, David Steffelbauer, Thomas Hofer, Dirk Muschalla 2014 City University of New York (CUNY)

Opensdm - An Open Sensor Data Management Tool, David Camhy, Günter Gruber, David Steffelbauer, Thomas Hofer, Dirk Muschalla

International Conference on Hydroinformatics

Exchange of scientific data and metadata between single users or organizations is a challenging task due to differences in data formats, the genesis of data collection, ontologies and prior knowledge of the users. Different data storage requirements, mostly defined by the structure, size and access scenarios, require also different data storage solutions, since there is no and there cannot be a data format which is suitable for all tasks and needs that occur especially in a scientific workflow. Besides data, the generation and handling of additional corresponding metadata leads us to the additional challenge of defining the "meaning" of data, …


Hybrid Control-Oriented Modeling Of Combined Sewer Networks: Barcelona Case Study, Bernat Joseph-Duran, Carlos Ocampo-Martinez, Gabriela Cembrano 2014 City University of New York (CUNY)

Hybrid Control-Oriented Modeling Of Combined Sewer Networks: Barcelona Case Study, Bernat Joseph-Duran, Carlos Ocampo-Martinez, Gabriela Cembrano

International Conference on Hydroinformatics

A hybrid linear model for real-time optimization-based control of a combined sewer network has been developed to be used for the minimization of pollution during storm events. The model takes into account delays and attenuation in sewers together with piecewise linear approximations for flow over weirs, overflows in junctions and flow re-entering the network after overflows. Using the proposed model, an Optimal Control Problem (OCP) is formulated, which can be efficiently solved by means of a mixed integer linear or quadratic programming problem. The performance of a Model Predictive Control (MPC) strategy solving consecutive OCPs is assessed by means of …


Vulnerability Assessment On Water Management For Climate Change Adaptation : Case Study To Gochang County In South Korea, Namjung Jang, Seounghyun Im, Hyun-Han Kwon, Sang-Woo Park, Dong-Heui Kwak 2014 City University of New York (CUNY)

Vulnerability Assessment On Water Management For Climate Change Adaptation : Case Study To Gochang County In South Korea, Namjung Jang, Seounghyun Im, Hyun-Han Kwon, Sang-Woo Park, Dong-Heui Kwak

International Conference on Hydroinformatics

Currently, 1.6 billion people live in countries and regions with absolute water scarcity and the number is expected to rise to 2.8 billion people by 2025(World Bank). Climate change will make water security more difficult and costly to achieve. Smart Water Management of water resources using an integrated approach with IT (Information Technology) will play a critical role in adapting climate change and mitigate social, economic and environmental impacts. Gochang County in Jeonbuk Province (South Korea) is one of the vulnerable areas to climate change, because it is a particularly high dependency to agricultural industry, increasing proportion of elderly people, …


Deterministic Hydrological Model For Flood Risk Assessment Of Mexico City, Vargas Bringas Rafael, Gourbesville Philippe 2014 City University of New York (CUNY)

Deterministic Hydrological Model For Flood Risk Assessment Of Mexico City, Vargas Bringas Rafael, Gourbesville Philippe

International Conference on Hydroinformatics

Mexico City is facing problems of flooding in some areas at certain times of the year, causing important losses and damages on properties and residents including some casualties. Therefore, it is important to carry out a flood risk assessment in the catchment of Mexico City and estimate damages of probable flood events. However, limited data of observed discharges and water depths in the main rivers of the city are available, and this represents an obstacle for the understanding of flooding in Mexico City. The objective of the developed tool is to provide an efficient support to management of the flood …


Calibration Strategies Designed For Long Term Sediment Transport Modelling, Robert Klar, Stefan Achleitner, Stefan Jocham, Markus Aufleger 2014 City University of New York (CUNY)

Calibration Strategies Designed For Long Term Sediment Transport Modelling, Robert Klar, Stefan Achleitner, Stefan Jocham, Markus Aufleger

International Conference on Hydroinformatics

The presented work deals with the calibration of a 2D numerical model for the simulation of long term bed load transport. A settled basin along an alpine stream was used as a case study. The focus is to parameterise the used multi fractional transport model such that a dynamically balanced behavior regarding erosion and deposition is reached. The used 2D hydrodynamic model utilizes a multi-fraction multi-layer approach to simulate morphological changes and bed load transport. The mass balancing is performed between three layers: a top mixing layer, an intermediate subsurface layer and a bottom layer. Using this approach bears computational …


Hydrological Impacts Of Climate Change – Challenges, Uncertainty And Limitations, Shreedhar Maskey, Yurong Hu, Anshul Agarwal, Dinesh Bhatt 2014 City University of New York (CUNY)

Hydrological Impacts Of Climate Change – Challenges, Uncertainty And Limitations, Shreedhar Maskey, Yurong Hu, Anshul Agarwal, Dinesh Bhatt

International Conference on Hydroinformatics

How climate change impacts water resources in the future is an important question that all hydrologists want to have an answer. Climate prediction scenarios are available from many Global Circulation Models for the 21st century. These prediction datasets are typically used as input to a hydrological model for simulating impacts on hydrology, particularly river runoff, evaporation, and storage changes. Because hydrological models are usually run on a much smaller resolutions than climate models, the climate prediction datasets are usually downscaled to represent local climate for using in a hydrological model. The uncertainty in the GCMs, downscaling and hydrological models makes …


Bayesian Parameter Estimation Of Modified Bartlett-Lewis Rectangular Pulse (Mblrp) Poisson Cluster Model, Hyun-Han Kwon, Jang-Kyung Kim 2014 City University of New York (CUNY)

Bayesian Parameter Estimation Of Modified Bartlett-Lewis Rectangular Pulse (Mblrp) Poisson Cluster Model, Hyun-Han Kwon, Jang-Kyung Kim

International Conference on Hydroinformatics

Stochastic rainfall generators or stochastic simulation have been widely employed to generate synthetic rainfall sequences which can be used in hydrologic models as inputs. The calibration of Poisson cluster stochastic rainfall generator (e.g. Modified Bartlett-Lewis Rectangular Pulse, MBLRP) is seriously affected by local minima that is usually estimated from the local optimization algorithm. In this regard, global optimization techniques such as particle swarm optimization and shuffled complex evolution algorithm have been proposed to better estimate the parameters. Although the global search algorithm is designed to avoid the local minima, reliable parameter estimation of MBLRP model is not always feasible especially …


Decision Support Tool For Hydraulic Reliability Based Design Of Water Distribution Networks, Nemanja Trifunovic 2014 City University of New York (CUNY)

Decision Support Tool For Hydraulic Reliability Based Design Of Water Distribution Networks, Nemanja Trifunovic

International Conference on Hydroinformatics

The manuscript describes the decision support tool for design and hydraulic reliability assessment of water distribution networks. The reliability analyses that have been conducted on geometric-, hydraulic- and economic grounds all reflect the complexity of network resilience that is still difficult to generalise or classify, as well as it is impossible to asses without full integration of all three aspects. The tool that aims to achieve this integration processes a preselected seed of network sources and (demand) nodes prepared in EPANET without any pipe connection. It is composed of the modules for generation of various connectivity layouts by applying the …


Multi-Objective-Rehabilitation Of Urban Drainage Systems Within The Flood Risk Framework, Diego Fernando Paredes Méndez, Arlex Sanchez-Torres, Zoran Vojinović, Solomon D. Seyoum 2014 City University of New York (CUNY)

Multi-Objective-Rehabilitation Of Urban Drainage Systems Within The Flood Risk Framework, Diego Fernando Paredes Méndez, Arlex Sanchez-Torres, Zoran Vojinović, Solomon D. Seyoum

International Conference on Hydroinformatics

Urban drainage systems are one of the most valuable public utilities in any community, which protects public health and the environment, nevertheless is one of the most overlooked infrastructures until considerable failures occurred. If there are not recurrent rehabilitation programs in place this vital infrastructure will decrease the level of service. This work presents an approach to find optimal rehabilitation measures based on the hydraulic performance of the system. To assess the performance of the urban drainage system a coupled 1D-2D model was developed. The model uses SWMM 5.0 for the 1D transport; to simulate the overland flow from the …


Ensemble Simulation From Multiple Data Sources In A Spatially Distributed Hydrological Model Of The Rijnland Water System In The Netherlands, Isnaeni Murdi Hartanto, Schalk-Jan Van Andel, Thomas K. Alexandridis, Dimitri P. Solomatine 2014 City University of New York (CUNY)

Ensemble Simulation From Multiple Data Sources In A Spatially Distributed Hydrological Model Of The Rijnland Water System In The Netherlands, Isnaeni Murdi Hartanto, Schalk-Jan Van Andel, Thomas K. Alexandridis, Dimitri P. Solomatine

International Conference on Hydroinformatics

Data for water management is increasingly easy to access, it has finer spatial and temporal resolution, and it is available from various sources. Precipitation data can be obtained from meteorological stations, radar, satellites and weather models. Land use data is also available from different satellite products and different providers. The various sources of data may confirm each other or give very different values in space and time. However, from these various data sources, it can often not be judged beforehand that one data is correct and others are wrong. Each source has its own value for a particular purpose. The …


Harmonization - Towards A Standardized River Geometry Format, Stephen Jackson, David R. Maidment, David K. Arctur 2014 City University of New York (CUNY)

Harmonization - Towards A Standardized River Geometry Format, Stephen Jackson, David R. Maidment, David K. Arctur

International Conference on Hydroinformatics

RiverML is a proposed language for conveying a description of river channel and floodplain geometry and flow characteristics through the internet in a standardized way, which is currently in the early stages of development. RiverML is a joint effort between the CUAHSI HydroShare development team, the World Meteorological Organization (WMO) / Open Geospatial Consortium (OGC) Hydrology Domain Working Group, and an international community of data providers, data users, and software developers. In order to create a standard that will serve the needs of the international hydrologic community, a harmonization effort of three forms of data is presented. First, relevant initiatives …


A New Methodology For Deriving Regional Time Of Concentration Equations Using Gis And Genetic Programming, Soroosh Sharifi, Mahdi Razaz 2014 City University of New York (CUNY)

A New Methodology For Deriving Regional Time Of Concentration Equations Using Gis And Genetic Programming, Soroosh Sharifi, Mahdi Razaz

International Conference on Hydroinformatics

Time of concentration (ToC) is the most frequently utilized time-scale parameter in hydrology which must be estimated accurately to ensure correct simulation of many different hydrological processes. Hydrologists have developed many empirical and semi-empirical methods for estimating ToC which are regional, watershed, and site-specific. Modellers are often confused by the number of ToC estimation methods and formulas and often select an equation without evaluating its correctness which leads to inaccurate simulation results. The importance of deriving and using regional ToC equations has been highlighted in many studies. In this paper, a methodology is proposed for deriving ToC equation(s) for watersheds …


Rwater – A Cyber Enabled Tool For Hydrologic Modeling And Analysis, Venkatesh Merwade, Mohammad Adnan Rajib 2014 City University of New York (CUNY)

Rwater – A Cyber Enabled Tool For Hydrologic Modeling And Analysis, Venkatesh Merwade, Mohammad Adnan Rajib

International Conference on Hydroinformatics

Existing distributed hydrologic models are complex and computationally demanding for using as a rapid-forecasting policy-decision tool, or even as a class-room educational tool. In addition, platform dependence, specific input/output data structures and non-dynamic data-interaction with pluggable software components inside the existing proprietary frameworks make these models restrictive only to the specialized user groups. RWater is a web-based hydrologic analysis and modeling framework that utilizes the commonly used R software within the HUBzero cyber infrastructure of Purdue University. RWater is designed as an integrated framework for distributed hydrologic simulation, along with subsequent parameter optimization and visualization schemes. RWater provides platform independent …


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