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- Artificial Recharge of Groundwater - ScienceDirect
Book chapter CHAPTER 12 - Groundwater Recharge Operations at Water Factory 21, Orange County, California David G Argo and Neil M Cline Pages 359-395 View PDF View chapter Select CHAPTER 13 - Operations at the Cedar Creek Wastewater Reclamation-Recharge Facilities, Nassau County, New York Book chapter
- ScienceDirect. com | Science, health and medical journals, full text . . .
ScienceDirect is the world's leading source for scientific, technical, and medical research Explore journals, books and articles
- Demonstration of a multi-channel fluidized bed particle–supercritical . . .
Demonstration of a multi-channel fluidized bed particle–supercritical carbon dioxide heat exchanger for concentrating solar applications
- Automated Sequence Selection and Cost Calculation for Maintenance and . . .
The main focus of the California LCCA enhancement is to improve the efficiency of LCCA procedures with automatic data selection and computations The RealCost 2 5CA program has been adopted as an official LCCA tool to comply with regulatory requirements for California state highway projects
- Water, environment, and socioeconomic justice in California: A multi . . .
California's Sustainable Groundwater Management Act (SGMA, 2014) is stimulating discussion and testing of land repurposing strategies to achieve multi-benefits, including reducing demand on critically overdrafted groundwater by retiring cropland and by managing aquifer recharge
- Dimensional analysis via directed graphs - ScienceDirect
Dimensional Analysis via Directed Graphs by W W HAPP California State University School of Engineering Sacramento, Ca g58rg, U S A ABSTRACT: Flowgraphs are utilized to describe dimensional relationships between variables Nodes denote the logarithmic derivative of variables of the system
- Wind loads on solar panels mounted on flat roofs: Effect of geometric . . .
Wind Design for Solar Arrays SEAOC Report PV2–2017 Structural Engineers Association of California
- Artificial intelligence and machine learning in mechanical engineering . . .
This review examines the transformative influence of artificial intelligence (AI) and machine learning (ML) on mechanical engineering, emphasizing app…
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