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The Floodplain Mapping/Redelineation study deliverables depict and quantify the flood risks for the study area. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual- chance flood event, and areas of minimal flood risk. The Floodplain Mapping/Redelineation flood risk boundaries are derived from the engineering information Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA).

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NOAA's National Geophysical Data Center (NGDC) is building high-resolution digital elevation models (DEMs) for select U.S. coastal regions. These integrated bathymetric-topographic DEMs are used to support tsunami forecasting and warning efforts at the NOAA Center for Tsunami Research, Pacific Marine Environmental Laboratory (PMEL). The DEMs are part of the tsunami forecast system SIFT (Short-term Inundation Forecasting for Tsunamis) currently being developed by PMEL for the NOAA Tsunami Warning Centers, and are used in the MOST (Method of Splitting Tsunami) model developed by PMEL to simulate tsunami generation, propagation, and inundation. Bathymetric, topographic, and shoreline data used in DEM compilation are obtained from various sources, including NGDC, the U.S. National Ocean Service (NOS), the U.S. Geological Survey (USGS), the U.S. Army Corps of Engineers (USACE), the Federal Emergency Management Agency (FEMA), and other federal, state, and local government agencies, academic institutions, and private companies. DEMs are referenced to the vertical tidal datum of Mean High Water (MHW) and horizontal datum of World Geodetic System 1984 (WGS84). Cell size for the DEMs ranges from 1/3 arc-second (~10 meters) to 3 arc-seconds (~90 meters).

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An aerial survey, 19 April to 9 May 1965 yielded information on marine animals and birds in the Aleutian Islands and limited areas along the Alaska Peninsula. In areas judged to be overpopulated in 1959, decreased populations were found the Rat and Delarof Islands. Previously unpopulated or sparsely populated areas showed population influx and growth the Near, Andreanof, and Fox Islands, including waters off the SW tip of the Alaska Peninsula. The estimated total number of sea otters in the areas surveyed is about 17, 000.

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LASE is an airborne DIAL (Differential Absorption Lidar) system used to measure water vapor, aerosols, and clouds throughout the troposphere. LASE operates by locking to a strong water vapor line and electronically tuning to any spectral position on the absorption line to choose the suitable absorption cross-section for optimum measurements over a range of water vapor concentrations in the atmosphere. During CAMEX-4, LASE operated from the NASA DC-8 using strong and weak water vapor lines in both the nadir and zenith modes, thereby simultaneously acquiring data below and above the aircraft.

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A magnitude 8.1 earthquake occurred in the southern Kurils and on northern Hokkaido on Tuesday, October 5, 1994, (October 4 at 13:23 GMT). It was a sudden event, without any short-term precursors or foreshocks. The earthquake epicenter was located 80 km east southeast of Shikotan Island. The slides in this set show views of a newly-created landslide formation, ground cracks, structural damage, and effects of tsunami runup on Shikotan Island. The documentation is a scientific overview of this event, written by a member of the international team that studied it.Viacheslav K. Gusiakov Computing Center, Novosibirsk, 630090, RussiaA magnitude 8.1 earthquake hit the southern Kurils and northern Hokkaido on Tuesday, October 5, 1994, at 00:23 local time (October 4 at 13:23 GMT). It was a sudden event, without any short-term precursors or foreshocks. The earthquake epicenter was located 80 km east southeast of Shikotan Island, the biggest island in the Small Kuril (Habomai) group of islands. The earthquake was the largest shallow event in the Pacific since the 1989 Macquarie Ridge earthquake. It was felt over a large area from Severo-Kurilsk, Paramushir Island (about 1200 km north of the epicenter) to Tokyo, Honshu Island (about 800 km to the south). The source parameters of the main shock as determined by different seismological agencies and tsunami warning centers are shown in Table 1.The main shock was followed by an extensive series of aftershocks. The network of the Research Center for Earthquake Prediction (RCEP), Hokkaido University, recorded 440 events during the first day, 2,100 events during the first week and more than 4,000 events during the first month. The largest aftershock, Ms=7.3 (RCEP data), occurred on October 9, 1994, at 07:56 GMT.On Shikotan Island, located closest to the earthquake source region, ground shaking was extremely intense. The intensity was reported to be between IX and X on the abridged Modified Mercalli Intensity (MMI) Scale (12 intensity scale). Two major fissures occurred on Shikotan near Malokurilskoe and Krabozavodskoe villages (see photos 1-9). Numerous ground cracks were reported from other islands. Communications with the mainland were interrupted by the shock and were restored only by the next morning. As a result, a tsunami warning from the regional Tsunami Warning System in Yuzhno- Sakhalinsk was not delivered to the island in a timely fashion. Heavy destruction was reported on Kunashir and Iturup Islands. Telephone and electric power, as well as the water supply, were cut in many villages in the Southern Kurils. Fortunately, there was no fire caused by this quake. At that time of year heating systems were not inuse and cutting the electric supply helped prevent igniting fires in domestic locations. At Hokkaido, highways buckled and were shattered by deep fissures. Some bridges collapsed. The strong quake shook goods off the shelves of shops in the coastal city of Kushiro, Japan. Office workers had to hold their computers down to keep them from bouncing off their desks. NHK public television said that the quake blacked out more than 10,000 homes on Hokkaido and paralyzed rail traffic in Aomori Prefecture (the northern tipof Honshu). In Kushiro, telephones and electrical power were cut in someareas and road and rail traffic was halted after the quake.CasualtiesThe total casualty toll was relatively small for an 8.1 magnitude earthquake. In the Southern Kuril Islands, 11 people were killed and 242 were injured. Of these casualties, seven were buried under the ruins of a two- story military hospital in Goryachie Klyuchi Village on Iturup island. On Shikotan Island, two people were killed by falling building debris as they tried to leave their apartments. Most of the people in the affected area experienced a heavy shock after almost three minutes of continuous shaking accompanying the low-frequency sound and spent the night outside buildings even though some of the buildings were not seriously damaged. None of the casualties in the Kurils were due to the tsunami itself, mainly because the wave heights in all populated areas did not exceed 1.5 to 2 meters.The Kyodo News Agency reported that more than 140 people were injured. One 73-year old man was reported dead, apparently from a heart attack, and one woman was seriously hurt when her car plunged off a collapsing bridge.TsunamiA regional tsunami warning was issued by Japan Meteorological Agency (JMA) and broadcast on TV stations with impressive speed. At 13:28 UTC, just five minutes after the quake, the NHK transmitted a map of Japan with the eastern coast of Hokkaido flashing in red to indicate a "tsunami warning" area, and the Pacific coast of Honshu flashing in yellow to indicate a "tsunami caution" area. However, at that time it was not accompanied by any information about the earthquake, its position and size, leaving TV viewers ignorant of where the earthquake occurred and how large it was (Abbot, 1994). This information was released by JMA several minutes later.In Russia, a tsunami warning for the Southern Kurils was issued by the Yuzhno-Sakhalinsk Seismological Observatory at 13:32 UTS (00:32 local time). However, it was not transmitted to the threatened area until the next morning because communications with Shikotan and Kunashir were broken by the earthquake.At 14:33 UTC, a Pacific-wide tsunami warning was issued by the Pacific Tsunami Warning Center (PTWC) based on the seismological criterion (magnitude greater than 7.5) and reported 1.73 meter run-up in Nemuro, Japan. Although no damaging Pacific-wide tsunamis have ever been generated in the Southern Kuril region, there was lingering concern of the potential threat for Hawaii, when the Midway tide gauge reported 0.5 meter oscillations of water level (Tsunami Newsletter, 1995). The highest wave in Hawaii was only 0.8 meter (peak to trough) observed in Kahuliu, Maui. The highest recording on the U.S. west coast was 1.1 meter (peak to trough) at Crescent City, California. The list of observed tsunami wave heights is shown in Table 2. The majority of the regional data are results of measurements made during the field survey while most of the distant data are taken from the post-event analysis of mareograph records.The largest tsunami runup was measured on the eastern coast of Shikotan Island. The runup varies from 6.0 to 10.4 m, with very smooth variation along the coast line, indicating the long period of the maximum wave. The highest wave in Japan (nearly 3.5 m, peak to trough) was measured by the tide gauge in Hanasaki (northern Hokkaido). All distant tsunami heights were less than 1 meter, so that no damaging Pacific-wide tsunami was generated by this quake. However, this tsunami was recorded clearly by many tide gauges throughout the Pacific.The earliest and probably the largest cataloged event (magnitude Ms=8.2) occurred here on April 25, 1843. The exact position of the source region for this event is unknown. However, severe seismic shaking and damage was reported in the large area between Urup Island in the north and Kushiro, Japan, in the south. The data on tsunami heights in the Southern Kurils are not available, but Iida (1984) reported 4.5 m waves near Kushiro. The next large (Ms=7.9) event in the area occurred on March 22, 1894, with the reported maximum tsunami runup of 4 m at Miyako, Japan.After this event, there were no large (with Ms>7.9) earthquakes for a number of years. Then, 64 years later, on November 6, 1958, an earthquake of Ms=8.2 occurred near Iturup Island. This earthquake generated tsunamis, and the maximum runup height (about 5 m) was reported on the east coast of Iturup Island. Only 11 years later (on August 11, 1969) another large earthquake (Ms=8.2) struck the same region, about 150 km south-west of the 1958 event. The maximum runup height (up to 5 m) was measured on the east coast of the Shikotan Island. The tsunami source areas of the 1958 and 1969 events overlap each other for about 50 km along the trench. The present Shikotan earthquake of October 4, 1994, occurred near the same location as the 1969 event. The aftershock areas of both events almost coincide with each other; the deviation in the area locations was only on the order of 20 30 km. There were other recent and substantial earthquakes at nearly the same location. An earthquake of Ms=7.0 occurred on June 10, 1975, at the northeastern edge of the 1994 Shikotan earthquake source region. Despite its smaller magnitude, tsunamis with 2.5 m height were measured at the nearest coast. The 1975 event is considered to be an example of a so-called tsunami earthquake (Kanamori, 1972). Furthermore, the southwestern edge of the 1994 Shikotan earthquake source is also overlapped by the source area of the June 17, 1973, magnitude 7.4 earthquake. The latest events in this area were a series of five tsunamigenic earthquakes of March 1978 which occurred at the northeastern edge of the 1994 event source area.SurveyThe tsunami reconnaissance survey was conducted from October 16 through November 1, 1994, by an international team consisting of sixteen Russian scientists and two members from the United States. Tsunami runup height measurements were made in Shikotan, Iturup, Kunashir, and small islands between Shikotan and Hokkaido (Ivaschenko et al., 1996; Yeh et al., 1995). Many measurements along the Hokkaido coast were carried out soon after the event by the Tohoku University group (Sendai, Japan).

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Current meter - direction and other data were collected from FIXED PLATFORMS from 27 October 1975 to 14 August 1976. Data were collected by the National Ocean Service (NOS) in support of the MESA New York Bight (MESA-NYB) project. Data were processed by NODC to the NODC standard F005 - Current Meter Data (Resultants) format. Full format description is available from NODC at www.nodc.noaa.gov/General/NODC-Archive/f005.html. The F005 format is used for time series measurements of ocean currents obtained using moored current-measuring instruments, principally Aanderaa current meters (manufactured by Aanderaa Instruments Inc.). These data represent the Eulerian method of current measurement, i.e., the meters are deployed at a fixed mooring point and measure flow past the sensor. Position, water depth, and sensor depth are reported for each station. The data record comprises values of current direction and speed at specified date and time. Data values may be subject to averaging or filtering and are typically reported at 10-15 minute time intervals. Other environmental parameters may also be reported. These include: water temperature, salinity, conductivity, and transmissivity; wind direction and speed; and dominant wave direction, height, and period. A text field is available for optional comments.

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This fish and benthic composition database is the result of a multifaceted effort described below. The intent of this work is five fold: 1) To spatially characterize and monitor the distribution, abundance, and size of both reef fishes and macro-invertebrates (conch, lobster, Diadema); 2) To relate this information to in-situ data collected on associated benthic composition parameters; 3) To use this information to establish the knowledge base necessary for enacting management decisions in a spatial setting; 4) To establish the efficacy of those management decisions; and 5) To work with the National Coral Reef Monitoring Program to develop data collection standards and easily implemented methodologies for transference to other agencies and to work toward standardizing data collection throughout the US states and territories. Toward this end, the Center for Coastal Monitoring and Assessment's Biogeography Branch (BB) has been conducting research in Puerto Rico and the US Virgin Islands since 2000 and 2001, respectively. It is critical, with recent changes in management at both locations (e.g. implementation of MPAs) as well as proposed changes (e.g. zoning to manage multiple human uses) that action is taken now to accurately describe and characterize the fish/macro-invertebrate populations in these areas. It is also important that BB work closely with the individuals responsible for recommending and implementing these management strategies. Recognizing this, BB has been collaborating with partners at the University of Puerto Rico, National Park Service, US Geological Survey and the Virgin Islands Department of Planning and Natural Resources. To quantify patterns of spatial distribution and make meaningful interpretations, we must first have knowledge of the underlying variables determining species distribution. The basis for this work therefore, is the nearshore benthic habitats maps (less than 100 ft depth) created by NOAA's Biogeography Program in 2001 and NOS' bathymetry models. Using ArcView GIS software, the digitized habitat maps are stratified to select sampling stations. Sites are randomly selected within these strata to ensure coverage of the entire study region and not just a particular reef or seagrass area. At each site, fish, macro-invertebrates, and benthic composition information is then quantified following standardized protocols. By relating the data collected in the field back to the habitat maps and bathymetric models, BB is able to model and map species level and community level information. These protocols are standardized throughout the US Caribbean to enable quantification and comparison of reef fish abundance and distribution trends between locations. Armed with the knowledge of where "hot spots" of species richness and diversity are likely to occur in the seascape, the BB is in a unique position to answer questions about the efficacy of marine zoning strategies (e.g. placement of no fishing, anchoring, or snorkeling locations), and what locations are most suitable for establishing MPAs. Knowledge of the current status of fish/macro-invertebrate communities coupled with longer term monitoring will enable evaluation of management efficacy, thus it is essential to future management actions. In October 2010, the regular St. Croix survey area was extended eastward and southward to encompass a more extensive area of East End Marine Park. The purpose of this modification was to collect information on the distribution and diversity of marine communities across the zones in the southern half of EEMP where presently very little information is available. The survey techniques used are compatible with those used for the northern portion of EEMP and neighboring Buck Island Reef National Monument to facilitate comparative analyses. In water surveys collected data on federally listed Acropora species, Nassau grouper and other fauna of special concern (i.e. conch, sea urchins, lobster and the invasive lionfish).

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The NOAA Hypoxia Watch project provides near-real-time, web-based maps of dissolved oxygen near the sea floor over the Texas-Louisiana continental shelf during a period that extends from mid-June to mid-July. The NOAA National Marine Fisheries Service Mississippi Laboratories at Pascagoula and Stennis Space Center and the NOAA National Coastal Data Development Center (NCDDC) at Stennis Space Center began the Hypoxia Watch project in 2001. Scientists aboard the NOAA Research Vessel Oregon II measure seawater properties, such as water temperature, salinity, chlorophyll, and dissolved oxygen at each of approximately 240 locations as the Oregon II cruises the waters south of Pascagoula, MS and then makes its way from Brownsville, Texas, to the mouth of the Mississippi River. A scientist aboard the ship processes the measurements from electronic dissolved oxygen sensors, checks the measurements periodically with chemical analyses of the seawater, then sends the data by e-mail to NCDDC at Stennis Space Center approximately every three to four days. Physical Scientists at NCDDC transform the dissolved oxygen measurements into contour maps, which identify areas of low oxygen, or hypoxia. During the thirty-day cruise, as the data is received from the ship, NCDDC generates new maps and immediately publishes them on the web. The first map will usually cover an area off the Mississippi coast, successive maps will add areas of the continental shelf from Brownsville to Corpus Christi, and the final map will usually cover the entire Texas-Louisiana-Mississippi coast. Maps are published every three to four days from approximately June 22 to July 20.

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This map layer includes Global Map data showing cities and towns in the United States, Puerto Rico, and the U.S. Virgin Islands. The data are a modified version of the National Atlas of the United States 1:1,000,000-scale cities and towns of the United States; those source data were derived from the Geographic Names Information System (GNIS) and the U.S. Census Bureau National Places Gazetteer files. Global Map refers to these locations as Built-up Area (point) and defines them as areas containing a concentration of buildings and other structures (smaller than Built-up Area (face)). National Atlas cities or towns are defined as places with a recorded population, usually with at least one central area that provides commercial activities. Cities are generally larger than towns; no distinction is made between cities and towns in this map layer. No attempt has been made to reconcile the Global Map and National Atlas feature definitions.

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Automatic Identification Systems (AIS) are a navigation safety device that transmits and monitors the location and characteristics of many vessels in U.S. and international waters in real-time. In the U.S. the Coast Guard and industry collect AIS data, which can also be used for a variety of coastal planning purposes. NOAA and BOEM have worked jointly to re-task and make available some of the most important records from the U.S. Coast Guard's national network of AIS receivers. Information such as location, time, ship type, length, width, and draft have been extracted from the raw data and prepared as track lines for analyses in desktop GIS software.

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This annual narrative report for Monte Vista National Wildlife Refuge outlines Refuge accomplishments during the 1994 calendar year. The report begins with a summary of the years highlights and weather conditions. Land acquisition is covered. The report includes a planning section which discusses the management plan and research and investigations. Refuge administration is outlined; information about personnel, volunteer programs, funding, safety, and technical assistance is given. Habitat management is also covered; subjects include wetlands, croplands, fire management, pest control, and water rights. The wildlife section of the report discusses wildlife diversity, endangered and threatened species, waterfowl, marsh birds and waterbirds, shorebirds, raptors, game mammals, fisheries resources, scientific collections, animal control, marking and banding, and disease control. The public uses of the Refuge described in this report include outdoor classrooms, interpretive programs, hunting, trapping, wildlife observation, outdoor recreation, and law enforcement. The equipment and facilities section of the report provides information about new construction, rehabilitation, and equipment replacement. Cooperative programs and items of interest are provided at the end. Refuge brochures are attached

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The boundaries illustrated by these Assessment Units are the result of geologic studies conducted by the World Petroleum Resources Project, 2009-2011 (Project). The boundaries were used to assess the oil and gas resources within the unit. An assessment unit, as defined by the Project, is a mapped volume of rock within the Total Petroleum System (TPS), sufficiently homogeneous in terms of geology, exploration strategy and risk characteristics to constitute a single population of discovered and undiscovered fields with respect to criteria used for resource assessment. Relatedly, the TPS is the essential elements and processes, as well as all genetically related hydrocarbons that occur in petroleum shows, seeps and accumulations (discovered and undiscovered), whose source is a pod or closely related pods of active source rock.

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This preliminary descriptive model applies only to mountain goats that inhabit the coastalfacing slopes that support forests of Sitka spruce Picea sitchensis andor Western hemlock Tsuga heterophylla in the lower elevations. The model was developed for use in the evaluation of potential impacts on mountain goats resulting from a proposed dam and power facility in the Bradley Lake area of the Kenai Peninsula.

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The Laboratory of Biological Modeling is defined by both its methodologies and its areas of application. We use mathematical modeling in many forms and apply it to a diverse array of problems, mostly related to diabetes, obesity, and metabolism.​

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This digital data set defines the subregions of the transient ground-water flow model of the Death Valley regional ground-water flow system (DVRFS). Subregions are used to more readily describe and evaluate the source, occurrence, and movement of ground water within and between the smaller areas of the DVRFS, which is an approximately 45,000 square-kilometer region of southern Nevada and California. The subregions, first described by D'Agnese and others (1997), consist of a northern, central, and southern subregion. The subregions are defined by grouping ground-water sections into ground-water basins and ultimately grouping ground-water basins into ground-water subregions. Where applicable, ground-water flow paths were used to modify the section boundaries so that the basin and subregion boundaries do not always coincide with the section boundaries. The subregions, basins, and sections are used for descriptive purposes only and do not define independent flow systems. The subregions, basins, and sections are delineated primarily on (1) location of recharge areas; (2) regional hydraulic gradients; (3) distribution of aquifers, structures, and confining units that affect flow; (4) location of major discharge areas; and (5) hydrochemical composition of the ground water.

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In 1996, the Bureau of Justice Statistics sponsored a pretest of a survey instrument designed to compile data on citizen contacts with police, including contacts in which police use force. The survey, which involved interviews (both face-to-face and by ph

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This map shows the USGS (United States Geologic Survey), NWIS (National Water Inventory System) Hydrologic Data Sites for Piute County, Utah. The scope and purpose of NWIS is defined on the web site: http://water.usgs.gov/public/pubs/FS/FS-027-98/

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This Water Resource Inventory and Assessment report for Ruby Lake National Wildlife Refuge describes current hydrologic information, provides an assessment of water resource needs and issues of concern, and makes recommendations regarding Refuge water resources. The Water Resource Inventory and Assessment evaluates water quality and quantity issues, water rights, water management, potential threats to water supplies, hydroclimate trends, and other water resource issues for the Refuge.

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Total annual dry natural gas consumption by country, 1980 to 2009 (available in Quadrillion Btu). Compiled by Energy Information Administration (EIA).

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PARKPASS is a Bureau Personnel Management System (BPMS) application that provides the capability to record and query parking assignments within the John Edgar Hoover (JEH) building. Access is limited to designated personnel of the Facilities and Logistics

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The explosive eruption of a volcano under the Eyjafjallaj?kull glacier in Iceland on 14 April 2010 brought air travel in Europe and across the Atlantic to a standstill. Millions of passengers were stranded for over a week and the shutdowns cost the airlines $200 million per day. Jet airliner encounters with volcanic ash plumes have resulted in 90 known incidents of damage to engines and airframes over the past 30 years. Research aircraft measurements from the Mt. St. Helens eruption in 1980 showed that particles with diameters < 0.1 micron were found in concentrations similar to those measured in ambient air, but concentrations with diameters from 0.1 to 30 microns were up to 100 times greater than in ambient air. A safe and cost-effective alternative to flying conventional research aircraft into volcanic ash plumes is to instrument a small Unmanned Aerial System (UAS) that uses electric motor propulsion. In Phase I we propose to design and laboratory test a novel, standalone sensor system that can measure the particle size distribution from 0.09 micron to hundreds of microns, record high-resolution digital images, and collect samples for post-analysis of the composition of volcanic ash. In Phase II we will install the sensor package on a tethered balloon and a small electric-powered UAS supplied by Vanilla Aircraft LLC. In concert with experts from the University of Alaska and the University of Cost Rica, we will perform a pilot field project measuring ash size distribution, recording high-resolution digital images, and analyzing ash composition in the plume of an active volcano in Costa Rica.

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The Electromagnetic Plasmoid Thruster (EMPT) is a revolutionary electric propulsion thruster and power processing (PPU) system that will allow a dramatic decrease in system mass and increase in thrust efficiency over traditional 500-1000 W propulsion systems. The high specific power (>700 W/kg) and high efficiency of EMPT will enable a wide range of deep space missions such as Neptune, Pluto and Oort Cloud orbital insertion. Additionally, a solar electric EMPT system would dramatically increase the capability and reduce the travel time of an asteroid or Martian moon sample and return mission due to the variable-power, low-mass propulsion system. The EMPT employs a Rotating Magnetic Field (RMF) to produce large plasma currents inside a conical thruster creating a plasmoid that is magnetically isolated from the thruster walls. The intensified gradient magnetic field from the plasmoid together with the large plasma currents result in an enormous body force that expels the plasmoid at high velocity. The EMPT is a pulsed device, nominally operating at 1 kWe with 1 Joule discharges at 1 kHz. Presented is a full description of the relevant plasma physics as well as the thruster and PPU design. All physical principals behind the EMPT have been demonstrated in the laboratory at the relevant scales. Additionally, the AFOSR-funded ELF thruster has demonstrated RMF formation and acceleration in a thruster application at higher energy levels. The focus of the proposal is the experimental validation of an integrated thruster and PPU operating in a multi-pulse mode. The EMPT will be characterized over a range of parameters: input power from 200-1000 Watts, 50-80 mN thrust, and 1500-4000 seconds specific impulse. The integrated thruster and PPU to be built and tested will have a total system mass of less than 1.5 kg. Successful completion of Phase I will mature the technology from a TRL level 3 to 5. Phase II will be a fully integrated, steady-state demonstration with life test.

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Kennedy Space Center (KSC) has the most complex, enormous, difficult, diverse, distributed, and unique set of integrated scheduling problems in the world and it is only getting more difficult as ground resources need to be shared by different organizations. KSC's scheduling problem is decomposed into many individual but coordinated scheduling problems, each with its own unique set of resources, tasks, constraints, ground rules, and scheduling techniques, resulting in different scheduling processes for each of the individual applications. Stottler Henke's existing Aurora intelligent planning and scheduling system development framework was specifically designed for KSC ground operations scheduling and to be highly adaptable to different domains and has already proven to be adaptable by its successful applications in many dozens of widely varying domains (including multiple KSC scheduling domains). In every domain where a comparison was performed, Aurora always generated more optimal schedules. The proposed vision is to develop one scheduling tool that SMEs in wildly different KSC areas can adapt to create automated scheduling software for different scheduling applications. New capabilities need to be added to address the new KSC realities and to make the adaptation process more SME-friendly. Initially the Intelligent Operations Scheduling System (IOSS) would be fielded in a small number of vehicle and payload processing applications. Later SMEs could adapt IOSS themselves. Eventually, IOSS-based automatic scheduling systems might constitute the majority of schedule decision making at KSC. These separate IOSS scheduling applications could automatically interact, providing automated coordination capabilities. These applications will also be able to interoperate with legacy scheduling systems. Ultimately, by automating, replacing, or interfacing to every scheduling function or system, extreme synergies of coordination and manpower savings would result.

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The Floodplain Mapping/Redelineation study deliverables depict and quantify the flood risks for teh study area. The primary risk classificatinos used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The Floodplain Mapping/Redelineation flood risk boundaries are derived from the engineering information Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood harzard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Managemeng Agency (FEMA).

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Health, United States is an annual report on trends in health statistics, find more information at http://www.cdc.gov/nchs/hus.htm.