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Sustainable Dubuque Watershed NetworkMasterpiece on the Mississippi TO: The Honorable Mayor and City Council Members FROM: Michael C. Van Milligen, City Manager SUBJECT: Sustainable Dubuque Watershed Network DATE: April 14, 2011 Dubuque httil Afl AmedcaCity 11111 1 2007 The University of Iowa College of Engineering and Environmental Science has contacted the City of Dubuque to propose a collaboration on research and funding for a Sustainable Dubuque Watershed Network. The research would be intended to coordinate with existing University watershed research, but take it a step further by incorporating advanced measuring devices and analysis into an urban watershed, the North Fork — Catfish Creek. It is intended that the outcome help inform and analyze future infrastructure design and renovation and low- impact development options for the community and its stakeholders. The first two years of seed grant research is to initiate a watershed network and intelligent digital watershed for the North Fork of Catfish Creek in Dubuque with an eye towards understanding, modeling, and predicting the infiltration and inflow to the sanitary sewer system which creates unwanted by -pass flows. Additionally, watershed modeling should improve the City's ability to understand and plan for future challenges to its urban watershed. It would continue the significant efforts being undertaken by the community to improve its inflow and infiltration issues. Specific research will be sought for analysis of infrastructure design and renovation and low- impact development options for stakeholders such as rain gardens, bioswales, bioretention areas, green roofs, and other policy options within the watershed. Handling watershed issues before they become Water and Resource Recovery Center issues will be an economic and environmental benefit to the community. The local college presidents have already been asked to provide their local experts and University of Iowa Professor Jerry Schnoor would come to Dubuque in May to continue the dialogue. The budget for the project is $85,214. $65,214 will be provided by the University of Iowa and $25,000 will be provided by the City. The City's portion of the funding is already budgeted as part of the base bid of the Water and Resource Recovery Center project. This funding will provide data on Plant flow that is currently collected to be connected with Inflow and Infiltration reduction analytics. The ability to plan for and avoid inflow and infiltration problems within the urban watersheds of Dubuque will be a significant opportunity and is key to the City remaining in compliance with U.S. Environmental Protection Agency directives to reduce infiltration and inflow into the Water and Resource Recovery Center. concur with the recommendation and respectfully request Mayor and City Council approval. 2 Mich. -I C. Van Milligen MCVM:jh Attachment cc: Barry Lindahl, City Attorney Cindy Steinhauser, Assistant City Manager Teri Goodmann, Assistant City Manager Jonathan Brown, Water and Resource Recovery Center Gus Psihoyos, City Engineer Cori Burbach, Sustainability Coordinator Don Vogt, Public Works Director Deron Muehring, Civil Engineer II John Klostermann, Street and Sewer Maintenance Supervisor Paul Schultz, Resource Management Coordinator Jane McAllister, Esq., Ahlers & Cooney, P.C. Eric Dregne, Vice President of Program, Community Foundation of Greater Dubuque David Lyons, Smarter Sustainable Dubuque Project Manager Introduction Background Masterpiece on the Mississippi TO: Michael C. Van Milligen, City Manager FROM: David Lyons, Smarter Sustainable Dubuque Project Manager SUBJECT: Sustainable Dubuque Watershed Network DATE: April 5, 2011 The purpose of this memorandum is to inform City Council of a proposed research project to be undertaken in partnership with the University of Iowa. It would be an academic collaboration to develop the Sustainable Dubuque Watershed Network. Dubuque kitteg AN- AmehcaCity 1 1 1 1 1 i 2007 As you are aware, the community's Sustainable Dubuque initiative has attracted significant national attention and the opportunity for multiple research collaborations. Specifically, the University of Iowa has recently begun the process of developing and funding sustainability research projects in collaboration with the community through its School of Urban and Regional Planning. In addition, the University of Iowa College of Engineering and Environmental Science has contacted the community to propose a collaboration on research and funding for a Sustainable Dubuque Watershed Network. The research would be intended to coordinate with existing University watershed research, but take it a step further by incorporating advanced measuring devices and analysis into an urban watershed (North Fork — Catfish Creek). It is intended that the outcome help inform and analyze future infrastructure design and renovation and low- impact development options for the community and its stakeholders. Discussion This proposed undertaking would apply modern observational sensing technologies, wireless communications, data assimilation techniques, and high - performance computing to investigate the physical, chemical and biological processes controlling the quantity and quality of urban waters. For the University, the SDWN (Sustainable Dubuque Watershed Network) will provide a foundation for fundamental and applied research that will contribute to the preservation, protection, and wise use of natural waters, and to the public understanding of the Water Cycle and their role in it. Specifically, spatially - detailed, high frequency sensing of water resources using an embedded network approach can provide breakthroughs in water science and engineering by understanding: 1) Nonlinearities; 2) Scalability; 3) Prediction and Forecasting; and 4) Discovery science. For the City, the primary objective for the first two years of seed grant research is to initiate a watershed network and intelligent digital watershed for the North Fork of Catfish Creek in Dubuque with an eye towards understanding, modeling, and predicting the infiltration and inflow to the sanitary sewer system which creates unwanted by -pass flows. Additionally, watershed modeling should improve the City's ability to understand and plan for future challenges to its urban watershed ranging from local land use changes to impact of global climate changes. It would continue the significant efforts being undertaken by the community to improve its inflow and infiltration issues. Already, the National Science Foundation (NSF) Cyber - Enabled Discovery and Innovation Project (CDI- Type II) at the University of Iowa has yielded results, particularly at its Clear Creek agricultural watershed (270 km where the Intelligent Digital Watershed (IDW) has created a prototype systematic data acquisition network providing novel insights into water science (www.iowacdi.net). It is now proposed to apply similar concepts to an urban watershed with problems of wet weather flows and by -pass in Dubuque, Iowa — the North Fork of Catfish Creek — as the Sustainable Dubuque Watershed Network (SDWN). Additionally, specific research will be sought for analysis of infrastructure design and renovation and low- impact development options for stakeholders such as rain gardens, bioswales, bioretention areas, green roofs, and other policy options within the watershed. Simply put, handling watershed issues before they become WPCP issues will be an economic and environmental benefit to the community. It also begins to develop research data on ground water to link with the significant Smarter Sustainable Dubuque research on drinking water and water conservation. The budget for the project is $85,214. $65,214 will be provided by the University of Iowa and $25,000 will be provided by the City. The City's portion of the funding is already budgeted as part of the base bid of the Water and Resource Recovery Center originally intended for Smart, Sustainable Dubuque Research project. This funding will provide data on Plant flow that is currently collected to be connected with Inflow and Infiltration reduction analytics. The ability to plan for and avoid inflow and infiltration problems within the urban watersheds of Dubuque will be a significant opportunity. A central tenet for both partners is that the Network, with its dense, coherent, accessible multidisciplinary data, will serve as an attractor bringing together a broad range of environmental scientists, social scientists, and citizens to pose research questions from various viewpoints. The University of Iowa team will be meeting with leading local College and University faculty to collaborate on the planning and implementation of the SDWN. It fits well with the Mississippi River setting of the City of Dubuque and the theme of leadership in water resources that Dubuque and the University of Iowa desire. It will encourage a social transformation in how interdisciplinary research is conducted, and it will activate citizen scientists to contribute to their community, encouraging K -16 students, and fostering research and innovation. Request I respectfully request approval to move forward with the planning and implementation of the Sustainable Dubuque Watershed Network project with the University of Iowa. Cc: Jonathan Brown; Deron Muering; Paul Schultz; Barry Lindahl; Teri Goodmann Cindy Steinhauser; Cori Burbach Research Collaboration Sustainable Dubuque Watershed Network: A Partnership of The University of Iowa and the City of Dubuque March 1, 2011 INTRODUCTION Spatially - detailed, high frequency sensing of water resources using an embedded network approach can provide breakthroughs in water science and engineering by understanding: 1) Nonlinearities —the knowledge base to discern mechanisms and basic kinetics of nonlinear water processes (Coppus and Imeson, 2002; Nowak et al., 2006;Ostby, 1999); 2) Scalability —the ability to scale -up complex processes from observations at a point to the catchment basin (Long and Plummer, 2004; Ridolfi et al., 2003; Sivapalan, 2003); 3) Prediction and Forecasting —the capacity to predict events, to model and anticipate outcomes of management actions, and to provide warnings (or operational control) of adverse water quantity and quality trends or events (American Society of Civil Engineers, 2004; Christensen et al., 2002; Hall et al., 2007; Scavia et al., 2003; Shukla et al., 2006; Vandenberghe et al., 2005); and 4) Discovery science —the discovery of heretofore unknown and unreported processes (Jeong et al., 2006; Loperfido et al., 2009; 2010, 2010; Messner et al., 2006). Already, the National Science Foundation (NSF) Cyber- Enabled Discovery and Innovation Project (CDI -Type II) at the University of Iowa has yielded some results in all four areas listed above. Figure 1 is a schematic of the instrumentation envisioned in watersheds of the WATERS Network. Applied to Clear Creek agricultural watershed (270 km a tributary of the Iowa River in eastern Iowa, the Intelligent Digital Watershed (IDW) has created a prototype systematic data acquisition network providing novel insights into water science (www.iowacdi.net). Now, we propose to apply similar concepts to an urban watershed with problems of wet weather flows and by -pass in Dubuque, Iowa – the North Fork of Catfish Creek – as the Sustainable Dubuque Watershed Network (SDWN). Our primary objective for the first two years of seed grant research is to initiate a watershed network and intelligent digital watershed for the North Fork of Catfish Creek in Dubuque with an eye towards understanding, modeling, and predicting the infiltration and inflow to the sanitary sewer system which creates unwanted by -pass flows. EXPECTED MILESTONES Such an initiative will provide valuable information for analysis of infrastructure design and renovation and low- impact development options for stakeholders such as raingardens, bioswales, bioretention areas, green roofs, and other policy options within the watershed. The 2 -year project is a prelude to development of a long -term collaboration between the University of Iowa and the City of Dubuque on water sustainability – a more extensive proposal will be generated to sustain the collaboration using the preliminary data gathered herein. Seed funds from the University of Iowa and the City of Dubuque will be used for the initial 2 -year project. Milestones in the 2 -yr project for SDWN will include the following: 1. Development of a digital watershed database for the North Fork of Catfish Creek (NFCC) system, the Sustainable Dubuque Watershed Network (SDWN). 2. Installation of water quality sensors on the North Fork of Catfish Creek with near real -time telemetry to the City of Dubuque and the University of Iowa (20 minute intervals) for discharge, temperature, pH, conductivity, turbidity, dissolved oxygen, and nitrate. 3. Initial instrumentation of the surficial aquifer (groundwater table) for near real - time sensor measurements of water elevation, temperature, and conductivity. Soil moisture measurements of the unsaturated zone will be included. 4. Application of the Storm Water Management Model (SWMM) to examine water movement as runoff and percolation through the unsaturated zone to the surficial aquifer, which influences infiltration and inflow to the sanitary sewer system. See http://www.epa.gov/ednnrmrl/models/swmm/ 5. Development of the cyberinfrastructure necessary for data capture at the Dubuque wastewater treatment plant (flow, concentration, solids, etc.) for relay to the Smarter Sustainable Dubuque website and the University of Iowa website via the internet. Real -time reporting of water quality data compliments the Smarter Sustainable Dubuque program. Data will be downloaded to the City's website so citizens can understand water quality and quantity (storm -flows) better in the NFCC. Figure 2 illustrates how the sensor array in NFCC would be configured to relay data to the City of Dubuque, University of Iowa, and internet communities. The University of Iowa IIHR- Hydroscience and Engineering institute will gain a new, urban node in their waters instrumentation network and greater experience with infiltration/inflow (I/I) problems. Eventually, the network will allow analysis of I/I problems including policy options like disconnecting storm drains from the sanitary sewer and the likely effectiveness of infrastructure investment given climate change (more intense storm events) in the future. The project will commence a long -term research and engineering collaboration between the City of Dubuque and the University of Iowa on water resources as a part of Smarter Sustainable Dubuque. METHODOLOGY AND EXPECTED RESULTS The University of Iowa project on Clear Creek has previously assembled data sets from many sources into a coherent and accessible system for water resource data discovery, delivery, analysis, and modeling. Researchers using the Sustainable Dubuque Waters Network (SDWN) will be able to quickly access a broad array of data from the convenience of their office, simply relying on the internet and database and protocols. The initial SDWN network is the first step in development of an elaborate data system and services in the future between the two partners. Each node (stream, groundwater, sewer system, wastewater treatment plant) will participate and provide the high resolution data for testing water resource models. In tandem with the initial 2 -yr data collection effort, we will build a Human Information System (HIS2) containing land use, census, voting, planning, and other socioeconomic data relevant to water processes and management. The socioeconomic and hydrologic data will be geo- referenced to common coordinates for use in testing hypotheses concerning socioeconomic factors influencing water use and discharge as a part of Smarter Sustainable Dubuque. A central tenet of the Network is that dense, coherent, accessible multidisciplinary data will serve as an attractor bringing together a broad range of environmental scientists, social scientists, and citizens to pose research questions from various viewpoints. It fits well with the Mississippi River setting of the City of Dubuque and the theme of leadership in water resources that Dubuque and the University of Iowa desire. It will encourage a social transformation in how we do interdisciplinary research, and it will activate citizen scientists to contribute to their community, encouraging K -16 students, and fostering research and innovation. Legend (, Mote Relay • Stargate Satellitte Snowpack \ Sensors Aircraft Observing Missions NEXRAD Meteorology , Radar Flow Cell Agriculture --, Camera Tower Sensor Array , Radar l _) Velocimetry _ Water & ADCP Quality Sensor j Groundwater Vertical , oil Rain Gage Moisture Network Embedded 1 Network PI iI Forest Sensor Flock Figure 1. Schematic of an instrumented watershed in an observatory of the national WATERS Network. Real -time sensors for meteorology, rainfall, stream velocity, suspended sediment, water quality, soil moisture, groundwater, and snowpack are shown with wireless communications equipment necessary for transmitting the data. The Sustainable Dubuque Watershed Network (SDWN) would be one node in the national network. With construction of the Sustainable Dubuque Watershed Network we anticipate the acquisition of relevant preliminary data to write a larger proposal: (1) To build a more extensive environmental observatory in the capital phase of the project and funding of water - related research using the SDWN Network during the operational phase; (2) Open- access, coherent databases of water dynamics correlated to land use and demographic data for research that have never before been assembled in an urban watershed in an accessible manner; (3) Real-time, streaming data from the observatories for community modeling, visualization, and prediction; (4) Experimental and field facilities with sufficient "bandwidth" for additional sensors, instrumentation, visualization and experimentation with funding from many sources (federal agencies, state, local, and private support). A data protocol will be agreed in advance for all participants in SDWN Network. It will include an intellectual property agreement, privacy protections, researcher rights and responsibilities, user rights and responsibilities, and the procedures for ensuring QA/QC, assembling metadata, and posting it on the Internet. Broader impacts of the SDWN Network will include education and workforce development through participation of researchers with schools (K -12, undergraduate, and graduate) and mission agencies in the use and visualization of its databases and data streams in classrooms, museums, and for decision support. Giving school children and teachers access to visualizations of local data will motivate learning of basic concepts students need to give them incentives to continue in the STEM educational pipeline. All data will be Internet - enabled, accessible, and deposited in digital libraries (Figure 2). SDWN observatory will have its own outreach program to schools and the Mississippi River Museum, as the community seeks to increase the numbers and diversity of future scientists and engineers interested in researching and protecting our nation's waters. Creating a greater knowledge base and a superior workforce of engineers and scientists is one goal of the SDWN Network. Embedded - Sensor Array OBSERVATORY Microwave Tower i DIGITAL WATERSHED HYDRO INFORMATION SYSTEMS • Relational Database • Eco-hydrological Simulators • Quality Control, Calibration, i Validation 1 • Research Services • Dissemination • Digital Library USERS Database Server Application Server SYNTHESIS, MODELING E. VISUALIZATION • Observation -model Fusion • Process Analysis & Visualization • Community Models • Open Access for: - Investigators - Partners - Agencies - K12, K16, K20 - Communities • Museums Figure 2. Sensor array and environmental cyberinfrastructure used to transmit, process, and share data with the City of Dubuque and research communities and users. Sensors are embedded in the North Fork of Catfish Creek and are themselves networked. Data nodes transmit wirelessly to access nodes and to the Internet for open access for modelers and other users linked to digital watershed containing integrated relational databases for the site. SUMMARY FUTURE RESEARCH It is a bold undertaking to apply modern observational sensing technologies, wireless communications, data assimilation techniques, and high - performance computing to investigate the physical, chemical and biological processes controlling the quantity and quality of urban waters. The SDWN Network will provide a foundation for fundamental and applied research that will contribute to the preservation, protection, and wise use of natural waters, and to the public understanding of the Water Cycle and their role in it. Management of storm water is a major challenge for most cities. Dense settlement greatly reduces pervious surfaces amenable to natural infiltration. Storm water collection and conveyance systems help to prevent flooding, but they eliminate aquifer recharge, upset the flow regime and water quality conditions in receiving streams, and introduce costly storage and treatment requirements. With climate change, growing populations, and urbanization, these challenges will only increase. The USEPA has recognized the importance of the issue through increasingly stringent requirements for storm water planning and management, as well as costly flow separation and storage, in medium -size and large cities. Unless more efficient methods can be found, these requirements portend growing infrastructure requirements and costs for cities. The "low impact development" movement has proposed alternatives to sole reliance on pipe -and -treat systems (City of Chicago, 2003; Puget Sound Action Team, 2003). Green roofs, cisterns, rain gardens, and bioswales are ancient technologies being rediscovered and adapted for modern urban applications. Permeable pavements are more recent technologies. These methods have in common the principal of decentralized management— retaining storm water on site for infiltration or reuse. There is much that we do not know about the performance of these "low- impact" technologies. For example, little is known about their performance under varying soil conditions, terrain, and lot sizes, how to maintain them and ensure that maintenance is performed, and how their performance scales from site to basin scale. Better information on performance is needed to understand how their adoption might influence the sizing of stormwater pipes, culverts, detention basins, and flood control measures. Furthermore, we know little about their ancillary effects on the propagation of public health threats from mosquito -borne viruses (e.g., West Nile virus) (Kay et al., 2000; Rey et al., 2006) and zoonotic pathogens (e.g., Salmonella, pathogenic E. coli, Leptospira, Cryptosporidium parvum, and Giardia lamblia) (Nydam et al., 2005). An increase in the presence of standing water or water sheltered by vegetation as a result of low impact development or abandonment of stormwater management devices could increase insect breeding habitat. Green spaces can have very high carrying capacities for such species as deer, raccoons, rodents and birds. Although there are notable exceptions, principally suburban detention basins ( U.S. Green Building Council, 2007), urban planners and policy makers, as well as by developers and real estate owners, have been slow to accept decentralized stormwater technologies. An urban hydrologic observatory offers not only the opportunity to study the hydrologic and public health consequences of these practices, but also their efficacy after adoption. Information dissemination, trust building, and incentives are essential elements of the process of new technology diffusion and adoption. A program of monitored pilot projects within and between observatories, coupled with varied information campaigns, public policies, and systematic surveys of target populations, will help to understand these influences. The incentive for this research includes an understanding of the social networks through which decisions are made, and how best to introduce new stimuli to cause changes in behavior in the future to protect and conserve our water resources (Fullerton and Woolverton, 2005; Thurston et al., 2003). These challenges share the same science requirement: understanding the factors that influence stores, fluxes, flowpaths, and residence times of water so that estimates of these properties can be made at sufficiently large scales to be meaningful for resource management. With this long -term goal and collaboration between the University of Iowa and the City of Dubuque on the Sustainable Dubuque Watershed Network, we propose to be a national leader in Water Sustainability and to extend the science of water resource decision - making. REFERENCES American Society of Civil Engineers (2004). "Interim Voluntary Guidelines for Designing an Online Contaminant Monitoring System." Reston, VA: ASCE. 405 pp. Christensen, V. G., Rasmussen, P. P., and Ziegler, A. C. (2002). "Real -time water quality monitoring and regression analysis to estimate nutrient and bacteria concentrations in Kansas streams." Water Science and Technology, 45(9), 205- 211. City of Chicago (2003). 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"In situ sensing to understand diel turbidity cycles, suspended solids, and nutrient transport in Clear Creek, Iowa." Water Resources Research 46, DOI: 10.1029/2009WR008293. Messner, M., Shaw, S., Regli, S., Rotert, K., Blank, V., and Soller, J. (2006). "An approach for developing a national estimate of waterborne disease due to drinking water and a national estimate model application." Journal of Water and Health, 4(Suppl 2), 201 -240. Nowak, P., Bowen, S., and Cabot, P. (2006). "Disproportionality as a framework for linking social and biophysical systems." Society and Natural Resources, 19(2), 153 -173. Nydam, D. V., Lindergard, G., Santucci, F., Schaaf, S. L., Wade, S. E., and Mohammed, H. O. (2005). "Risk of infection with Cryptosporidium parvum and Cryptosporidium hominis in dairy cattle in the New York City watershed." American Journal of Veterinary Research, 66( 3), 413 -417. Ostby, F. P. (1999). 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Y., Hardin, J. D., and Jaber, F. H. (2006). "Wireless data acquisition and control systems for agricultural water management projects." Horttechnology, 16(4), 595 -604. Sivapalan, M., Takeuchi, K., Franks, S. W., Gupta, V. K., Karambiri, H., Lakshmi, V., Liang, X., McDonnell, J. J., Nemdiondo, E. M., O'Connell, P. E., Oki, T., Pomeroy, J. W., Schertzer, D., Uhlenbrook, S., and Zehe, E. (2003). "IAHS Decade on Predictions in Ungauged Basins (PUB), 2003 -2012: Shaping an exciting future for the hydrological sciences." Hydrological Sciences—Journa - des Sciences Hydrologiques, 48(6), 857 -880. Thurston, H. W., Goddard, H. C., Szlag, D., and Lemberg, B. (2003). "Controlling stormwater runoff with tradable allowances for impervious surfaces." Journal of. Water Resource Planning and Management, 129(5), 409 -418. U.S. Green Building Council (2007). Leadership in Energy and Environmental Design, www.usgbc.org (May 25, 2007). Vandenberghe, V., Goethals, P. L. M., Van Griensven, A., Meirlaen, J., De Pauw, N., Vanrolleghem, P., and Bauwens, W. (2005). "Application of automated measurement stations for continuous water quality monitoring of the Dender River in Flanders, Belgium." Environmental Monitoring and Assessment, 108(1- 3), 85 -98. A. SENIOR PERSONNEL: PI /PD, Co -PI's, Faculty and Other Senior Associates NSF Funded 7/11 -6/12 7/12 -6/13 List each separately with name and title (A.7 show number in brackets) Person -mos. Current rate CAL. ACAD. SUMR 1. Jerry Schnoo (PI) 216,882 0 1 4,820 2,410 2,410 2 0 0 0 3. 0 0 0 4 0 0 0 5 0 0 0 6. 0 7. TOTAL SENIOR PERSONNEL 4,820 2,410 2,410 B. OTHER PERSONNEL (SHOW NUMBERS IN BRACKETS) 0 0 0 1. 0 0 0 2. Graduate Student (1) half -time 12.0 47,705 23,500 24,205 3. 0 0 0 4. 0 0 0 5. 0 6. 0 0 0 TOTAL SALARIES AND WAGES (A +B) grad student PI 52,525 25,910 26,615 C. FRINGE BENEFITS (IF CHARGED AS DIRECT COSTS) 19.2% 29 70% 11,669 12,019 TOTAL SALARIES, WAGES, AND FRINGE BENEFITS (A +B +C) 76,213 37,579 38,634 D. EQUIPMENT (LIST ITEM AND DOLLAR AMOUNT FOR EACH ITEM EXCEEDING $5,000) 0 0 0 TOTAL EQUIPMENT 0 E. TRAVEL 1. DOMESTIC (INCL. CANADA, MEXICO AND U.S. POSSESSIONS) 0 2. FOREIGN 0 F. PARTICIPANT SUPPORT COSTS Year One 0 1 STIPENDS I 0 0 0 2. TRAVEL 50 person trips to Dubuque quarterly samoling 5,000 2,500 2,500 3. SUBSISTENCE 0 4. OTHER 0 0 0 0 0 0 0 0 G. OTHER DIRECT COSTS 0 1. MATERIALS AND SUPPLIES $10 K lab supplies/yr + $5 K planting costs and nutrients 4,000 2,000 2,000 2. PUBLICATION /DOCUMENTATION /DISSEMINATION 0 3. CONSULTANT SERVICES 0 0 0 4. COMPUTER SERVICES 0 0 0 5. SERVICES 0 6. OTHER I 0 0 0 TOTAL OTHER DIRECT COSTS 4,000 2,000 2,000 H. TOTAL DIRECT COSTS 85,213 42,079 43,134 I. INDIRECT COSTS (F &A) (SPECIFY RATE AND BASE) Base Rate Amount base= 0 0 0 IOn MTDC (modified total direct costs) 0 26 0% 0 0 TOTAL INDIRECT COSTS (F&A) 1 0 0 0 J. TOTAL DIRECT AND INDIRECT COSTS (H +1) 85,213 42,079 43,134 PROPOSAL BUDGET University of Iowa Collaborative Research on Water Sustainability with City of Dubuque PRINCIPAL INVESTIGATOR /PROJECT DIRECTOR Jerald L Schnoor Inflator = Fringe Benef rate = indirect cost rate = Tuition waiver TOTAL Constant 29.70 %IIFY08 Rate 26.00% N/C Year 1 Year 2