9781500648152 - environmental data management in support of sharing data and management de whiteaker, dr. tim; maidment, dr. david r.; best, dr. elly p.h.; yeghiazarian, dr. lilit; safwat, mr. amr; teklitz, mr. allen; morehead, mr. donald (4 resultados)
Idioma: Inglés
Editorial: Createspace Independent Publishing Platform, 2014
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Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 57,98
Envío por EUR 31,74Se envía de Australia a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: new. Paperback. A data management system (DMS) was developed, tested and demonstrated to store and manage water quality and quantity (WQ2) data pertaining to U.S. Environmental Protection Agency/Office of Research and Development (EPA/ORD) research projects in standardized formats. This approach was taken t…o facilitate accessibility, sharing, integration, and use of this information for simple calculations and inclusion into models by EPA and other users to inform water management decisions. The objectives of this project were: (1) Build a previously identified hydrologic information system (HIS) Observational Data Model (ODM) and convert existing water quality and quantity data, generated by EPA/ORD-research projects, into this format; (2) Develop, test and demonstrate a scalable DMS based on HIS protocols for storage and management of geo-referenced data; and (3) Enable targeted users to access, exchange and integrate geospatially referenced WQ2 information, and to conduct relatively simple calculations and/or run models to inform water management decisions at various watershed scales. The HIS developed by the Consortium of Universities for the Advancement of Hydrologic Science Inc. (CUAHSI) was used in this project. The CUAHSI HIS ODM model is widely accepted in the United States, is compatible with the National Water Quality Portal, and is gaining international acceptance as the standard for water data. This HIS is web-based, and uses the WaterML format for sharing hydrologic time series data. Within the U.S., many organizations measure WQ2 and various biological parameters. Despite the fact that this information is routinely made available to the public, the difficulties in identifying data sources, syntactic and semantic heterogeneity across data formats and metadata make the discovery, access and interpretation of data challenging for research and other stakeholder communities. EPA-ORD seeks to alleviate these challenges and plans to use CUAHSI's HIS and other tools to integrate time series data generated within its local, regional and national watershed projects with data collected by collaborators, and to share these data with other interested parties. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Environmental Data Management in Support of Sharing Data and Management
Whiteaker, Dr. Tim; Maidment, Dr. David R.; Best, Dr. Elly P.H.; Yeghiazarian, Dr. Lilit; Safwat, Mr. Amr; Teklitz, Mr. Allen; Morehead, Mr. Donald
Idioma: Inglés
Editorial: CreateSpace Independent Publishing Platform, 2014
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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 24,74
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New. Print on Demand.
Idioma: Inglés
Editorial: Createspace Independent Publishing Platform, 2014
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Librería: THE SAINT BOOKSTORE, Southport, Reino UnidoTHE SAINT BOOKSTORE
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 31,79
Envío por EUR 18,57Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Paperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Idioma: Inglés
Editorial: Createspace Independent Publishing Platform, 2014
- Tapa blanda
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Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 34,83
Envío por EUR 43,16Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: new. Paperback. A data management system (DMS) was developed, tested and demonstrated to store and manage water quality and quantity (WQ2) data pertaining to U.S. Environmental Protection Agency/Office of Research and Development (EPA/ORD) research projects in standardized formats. This approach was taken t…o facilitate accessibility, sharing, integration, and use of this information for simple calculations and inclusion into models by EPA and other users to inform water management decisions. The objectives of this project were: (1) Build a previously identified hydrologic information system (HIS) Observational Data Model (ODM) and convert existing water quality and quantity data, generated by EPA/ORD-research projects, into this format; (2) Develop, test and demonstrate a scalable DMS based on HIS protocols for storage and management of geo-referenced data; and (3) Enable targeted users to access, exchange and integrate geospatially referenced WQ2 information, and to conduct relatively simple calculations and/or run models to inform water management decisions at various watershed scales. The HIS developed by the Consortium of Universities for the Advancement of Hydrologic Science Inc. (CUAHSI) was used in this project. The CUAHSI HIS ODM model is widely accepted in the United States, is compatible with the National Water Quality Portal, and is gaining international acceptance as the standard for water data. This HIS is web-based, and uses the WaterML format for sharing hydrologic time series data. Within the U.S., many organizations measure WQ2 and various biological parameters. Despite the fact that this information is routinely made available to the public, the difficulties in identifying data sources, syntactic and semantic heterogeneity across data formats and metadata make the discovery, access and interpretation of data challenging for research and other stakeholder communities. EPA-ORD seeks to alleviate these challenges and plans to use CUAHSI's HIS and other tools to integrate time series data generated within its local, regional and national watershed projects with data collected by collaborators, and to share these data with other interested parties. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
