Statistical and Simulation Analysis Assists Santa Clara Valley Water District Planning

1994 ◽  
Vol 24 (6) ◽  
pp. 82-99 ◽  
Author(s):  
Burton V. Dean ◽  
Roger L. Salstrom ◽  
Jim Fiedler ◽  
Bill Molnar ◽  
Kent Haake
Keyword(s):  
Simulation Analysis ◽  
Santa Clara Valley ◽  
Water District

The Morgan Hill Earthquake of April 24, 1984—Effects on Facilities of the Santa Clara Valley Water District

1985 ◽  
Vol 1 (3) ◽  
pp. 633-656
Author(s):  
Robert E. Tepel
Keyword(s):  
Water Treatment ◽  
Water Distribution ◽  
Flood Control ◽  
Large Diameter ◽  
Public Agency ◽  
Santa Clara Valley ◽  
Water Treatment Plants ◽  
Emergency Operations Center ◽  
Santa Clara County ◽  
Water District

The Santa Clara Valley Water District (the District) is a public agency with flood control and water supply management authority in Santa Clara County, California. The District operates ten dams and reservoirs, two water treatment plants which supply potable water, 74 miles of large-diameter water distribution pipelines and 34 miles of small canals. Flood control facilities include 45 miles of streams channeled by levees and 17 miles of bayfront levees. Immediately after the earthquake, the District's Emergency Operations Center was activated. Major dams were inspected immediately by operations staff in accordance with standing instructions. The fundamental operations of the District were not interrupted by the earthquake in any significant way. Both water treatment plants operated continuously during and after the earthquake. Damage was limited to minor (functionally insignificant) surficial cracking at two embankment dams. Electronic distance measuring surveys indicated that a large existing landslide, on which one of the water treatment plants is located, moved as much as 13 mm as a result of the earthquake.

scholarly journals Unjuk Kerja Waduk Jatigede

2016 ◽  
Vol 21 (2) ◽  
pp. 69 ◽  
Author(s):  
Risdiana Cholifatul Afifah ◽  
Pranoto Samto Atmodjo ◽  
Sri Sangkawati
Keyword(s):  
Reservoir Operation ◽  
River Flow ◽  
Simulation Analysis ◽  
State University ◽  
Surgery Simulation ◽  
Colorado State University ◽  
Reservoir Construction ◽  
Water District ◽  
Analysis Of Performance ◽  
Rain Data

Jatigede Reservoir located in Sumedang, West Java. As the second largest reservoir in Indonesia, the main purpose of the reservoir construction is to irrigate the 90.000 Ha of irrigation area, the source of 3,5 m3/s of raw and drinking water, as well as the source of water for hydropower plan Jatigede requiring water supply as much as 61,84 m3/s. One of the efforts that can be taken to optimize reservoir of water resources, particularly for irrigation water needs, is to do a simulation model of the Jatigede Reservoir operation. This study is discusses the analysis of the performance of the operating pattern Jatigede were analyzed based on the stochastic model of Cimanuk river flow and rain data of Cimanuk Water District. Data needs to be tested first to qualify for a normal statistical distribution using AProb software version 4.1. Stochastic models were analyzed with software SAMS 2007 from Colorado State University. Surgery simulation analysis to determine the performance of the reservoir using software Ribasim. To test the performance of reservoir used the criteria of reliability, resilience, and vulnerability. From the analysis of performance can be concluded that the reliability of the reservoir in an effort to meet the needs of raw water, irrigation, and hydropower at existing condition is of 98.3%, the resilience of the reservoir by 50%, and the vulnerability of dams throughout the simulation period amounted to 6824.70 m3/s , While in the next 50 years the condition of the dam by 92.7% reliability, resilience reservoir by 34%, and the vulnerability of dams throughout the simulation period amounted 20.540,51m3/s. It can be concluded that the performance of  Jatigede reservoir decreased after the analysis of reservoir operation plan for the next 50 years.

scholarly journals Santa Clara Valley water district multi-aquifer monitoring-well site, Coyote Creek Outdoor Classroom, San Jose, California

2002 ◽  
Author(s):  
R.T. Hanson ◽  
M.W. Newhouse ◽  
C.M. Wentworth ◽  
C.F. Williams ◽  
T.E. Noce ◽  
...  
Keyword(s):  
San Jose ◽  
Outdoor Classroom ◽  
Monitoring Well ◽  
Santa Clara Valley ◽  
Water District

Computer simulation study about the dependence of amorphous silicon photonic waveguides efficiency on the material quality

2020 ◽  
Vol 90 (3) ◽  
pp. 30502
Author(s):  
Alessandro Fantoni ◽  
João Costa ◽  
Paulo Lourenço ◽  
Manuela Vieira
Keyword(s):  
Amorphous Silicon ◽  
High Throughput Screening ◽  
Simulation Analysis ◽  
Low Cost ◽  
Deposition Process ◽  
Large Area ◽  
Sidewall Roughness ◽  
Sensing Applications ◽  
Fabrication Defects ◽  
The Impact

Amorphous silicon PECVD photonic integrated devices are promising candidates for low cost sensing applications. This manuscript reports a simulation analysis about the impact on the overall efficiency caused by the lithography imperfections in the deposition process. The tolerance to the fabrication defects of a photonic sensor based on surface plasmonic resonance is analysed. The simulations are performed with FDTD and BPM algorithms. The device is a plasmonic interferometer composed by an a-Si:H waveguide covered by a thin gold layer. The sensing analysis is performed by equally splitting the input light into two arms, allowing the sensor to be calibrated by its reference arm. Two different 1 × 2 power splitter configurations are presented: a directional coupler and a multimode interference splitter. The waveguide sidewall roughness is considered as the major negative effect caused by deposition imperfections. The simulation results show that plasmonic effects can be excited in the interferometric waveguide structure, allowing a sensing device with enough sensitivity to support the functioning of a bio sensor for high throughput screening. In addition, the good tolerance to the waveguide wall roughness, points out the PECVD deposition technique as reliable method for the overall sensor system to be produced in a low-cost system. The large area deposition of photonics structures, allowed by the PECVD method, can be explored to design a multiplexed system for analysis of multiple biomarkers to further increase the tolerance to fabrication defects.

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