Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 364
Book Description
SR-52 Location, Adoption and Construction, Santo Road in San Diego to SR-67 in Santee
SR-52 Location, Adoption and Construction, Santo Road in San Diego to SR-67 in Santee
SR-52 Construction, I-805 to Santo Road, San Diego
EIS Cumulative
Author:
Publisher:
ISBN:
Category : Environmental impact statements
Languages : en
Pages : 510
Book Description
Publisher:
ISBN:
Category : Environmental impact statements
Languages : en
Pages : 510
Book Description
SR-52 Construction, I-805 to Santo Road, San Diego
Manager's Report
Author: San Diego (Calif.). Office of the City Manager
Publisher:
ISBN:
Category : City planning
Languages : en
Pages : 410
Book Description
Publisher:
ISBN:
Category : City planning
Languages : en
Pages : 410
Book Description
Department of Defense, Family Housing Units
SR-125 Construction on New Alignment, Fletcher Parkway to Proposed SR-52, El Cajon/San Diego/La Mesa/Santee
Route Location, Adoption and Construction of State Route 905 Between the Otay Mesa Port of Entry and Interstate 805 in the County of San Diego
Subsurface Conditions
Author: Keith Turner
Publisher: Springer
ISBN: 3540480196
Category : Science
Languages : en
Pages : 418
Book Description
Characterisation of the shallow subsurface has gained in importance as civil and geotechnical engineering and environmental applications have become more dependent on a precise definition of geomechanical and geohydrological properties. A better understanding of the subsurface conditions offers wide-ranging benefits to governments, industry and individual citizens. Subsurface geological modelling became an economic and technologic reality in the late 1980's, when competing 3-D geoscientific information systems were the subject of considerable research and evaluation, especially by the petroleum exploration industry. Investigations in the shallow subsurface impose additional requirements that have only recently become technically and economically achievable. The very shallow urban underground environment, where many infrastructure and utilities elements are located, presents the most difficult characterisation problems. Subsurface modelling techniques have matured, along with modern data base concepts. The evolution of the Internet and Web-browser technologies has expanded information transmission and dissemination capabilities. Subsurface models are being integrated with decision-support systems to provide predictions of technical and economic performance. Yet even the most sophisticated of these models leave some uncertainty in geologic interpretation. A variety of techniques for assessing uncertainty have been developed and are being evaluated.
Publisher: Springer
ISBN: 3540480196
Category : Science
Languages : en
Pages : 418
Book Description
Characterisation of the shallow subsurface has gained in importance as civil and geotechnical engineering and environmental applications have become more dependent on a precise definition of geomechanical and geohydrological properties. A better understanding of the subsurface conditions offers wide-ranging benefits to governments, industry and individual citizens. Subsurface geological modelling became an economic and technologic reality in the late 1980's, when competing 3-D geoscientific information systems were the subject of considerable research and evaluation, especially by the petroleum exploration industry. Investigations in the shallow subsurface impose additional requirements that have only recently become technically and economically achievable. The very shallow urban underground environment, where many infrastructure and utilities elements are located, presents the most difficult characterisation problems. Subsurface modelling techniques have matured, along with modern data base concepts. The evolution of the Internet and Web-browser technologies has expanded information transmission and dissemination capabilities. Subsurface models are being integrated with decision-support systems to provide predictions of technical and economic performance. Yet even the most sophisticated of these models leave some uncertainty in geologic interpretation. A variety of techniques for assessing uncertainty have been developed and are being evaluated.