scholarly journals An Automated Remote Marshland Water Sampling Station

2009 ◽  
pp. 37-37-15
Author(s):  
DF Thomas
Keyword(s):  
Sampling Station ◽  
Water Sampling

scholarly journals Determination of Physicochemical Characteristics of Early Rain Water in a Rain Forest Region, Owerri, Nigeria.

2014 ◽  
Vol 10 (4) ◽  
pp. 2634-2638
Author(s):  
Nwoko C.I.A. ◽  
U.U. Egereonu ◽  
L.N. Ukiwe
Keyword(s):  
Ph Value ◽  
Physicochemical Characteristics ◽  
Rain Water ◽  
World Health ◽  
Sampling Station ◽  
Water Sampling ◽  
Rain Gauges ◽  
Forest Region ◽  
Health Organization

Analysis of physicochemical characteristics of samples of rain water collected from rain gauges at two sampling stations at Orji and Umuchima-Ihiagwa in Owerri, Nigeria revealed that rain water from sampling station, Orji (RWSO) had the highest pH value (6.24), while values obtained for total suspended solids (14.23 mg/l-1), total dissolved solids (15.10 mg/l-1), calcium hardness (3.91 mg/l-1), and sulphate (11.23 mg/l-1) were highest for RWSO compared to values obtained from analysis of rain water sampling station, Umuchima (RWSU). However, it was observed that values obtained from nitrate analysis were almost equal (0.62, 0.60 mg/l-1 for RWSO and RWSU) for both sampling stations. Values obtained for the physicochemical parameters from both sampling stations were within World Health Organization (WHO) permissible standards for quality drinking-water.

scholarly journals Struktur Komunitas Zooplankton di Bendungan Telaga Tunjung, Kabupaten Tabanan-Bali

2017 ◽  
Vol 3 (1) ◽  
pp. 115
Author(s):  
Ni Wayan Desy Wahyudiati ◽  
I Wayan Arthana ◽  
Gde Raka Angga Kartika
Keyword(s):  
Community Structure ◽  
Trophic Status ◽  
Tourism Development ◽  
Aquatic Organisms ◽  
Common Species ◽  
Sampling Interval ◽  
Sampling Station ◽  
Water Sampling ◽  
Average Abundance ◽  
Diaphanosoma Brachyurum

Zooplankton are the heterotroph aquatic organisms and has a week swimming. Zooplankton acts as the first consumer in the waters, which utilize phytoplankton as their food. This research located in Telaga Tunjung reservoir, Timpag Village, Kerambitan Subdistrict, Tabanan Regency. The reservoir is used for industry, irrigation and tourism development. The aim of the research was to determine the community structure of zooplankton in Telaga Tunjung reservoir. This research was conducted from January to February 2016. Water sampling was conducted twice with a sampling interval of 2 weeks in 4 stations. There was a total of 23 species of zooplankton found, consisting of 6 classes: Eurotatoria (8 genera), Ciliatea (1 genera), Branchiopoda (4 genera), Monogononta (1 genera), Tubulinea (1 genera) and Maxillopoda (3 genera). The most common species of zooplankton found in the sampling station were Polyarthra vulgaris (3.04 ind/l), Anuraeopsis coelata (1.28 ind/l), Keratella valga (0.43 ind/l), Vorticella sp. (0.49 ind/l), Diaphanosoma brachyurum (0.28 ind/l), Nauplius sp. (0.16 ind/l) and Megacyclops viridis (1.16 ind/l). The average abundance of zooplankton was 9.38 ind/l. Based on the abundance of zooplankton, the trophic status of Telaga Tunjung reservoir is mesotrophic.

Handheld Double Packer Equipment for Water Sampling and Hydraulic Measurements in Deep Boreholes

1995 ◽  
Vol 15 (2) ◽  
pp. 125-133 ◽  
Author(s):  
Marcus Laaksoharju ◽  
Lasse Ahonen ◽  
Runar Blomqvist
Keyword(s):  
Water Sampling ◽  
Deep Boreholes

Recommendations for representative ballast water sampling

2017 ◽  
Vol 123 ◽  
pp. 1-15 ◽  
Author(s):  
Stephan Gollasch ◽  
Matej David
Keyword(s):  
Ballast Water ◽  
Water Sampling

Robotics Application in Remote Data Acquisition and Control for Solar Ponds

2012 ◽  
Vol 253-255 ◽  
pp. 705-715 ◽  
Author(s):  
Mohamed Elbanhawi ◽  
Milan Simic
Keyword(s):  
Data Acquisition ◽  
Real Time ◽  
Energy Production ◽  
Green Energy ◽  
Industrial Robots ◽  
Sampling Station ◽  
Monitoring And Control ◽  
Solar Ponds ◽  
And Control ◽  
Remote Data

This paper presents one application of industrial robots in the automation of renewable energy production. The robot supports remote performance monitoring and maintenance of salinity gradient solar ponds. The details of the design, setup and the use of the robot sampling station and the remote Data Acquisition (DAQ) system are given here. The use of a robot arm, to position equipment and sensors, provides accurate and reliable real time data needed for autonomous monitoring and control of this type of green energy production. Robot upgrade of solar ponds can be easily integrated with existing systems. Data logged by the proposed system can be remotely accessed, plotted and analysed. Thus the simultaneous and remote monitoring of a large scale network of ponds can be easily implemented. This provides a fully automated solution to the monitoring and control of green energy production operations, which can be used to provide heat and electricity to buildings. Remote real time monitoring will facilitate the setup and operations of several solar ponds around cities.

Sydney rock oyster farming in Australia.

2020 ◽  
Author(s):  
John Nell
Keyword(s):  
New South ◽  
Quality Assurance Program ◽  
First Year ◽  
Water Sampling ◽  
Time To Market ◽  
Profit Margins ◽  
Rock Oyster ◽  
South Wales ◽  
Sampling Programme

Abstract The 120-year-old Sydney rock oyster industry in New South Wales (NSW) and southern Queensland is one of the oldest aquaculture industries in Australia. The industry has been forced to adapt to competition from other species, tighter harvesting and oyster storage and handling requirements as well as eroding profit margins. Recent changes in farming practices include the move away from stick culture to single seed culture, as the half-shell market demands a more uniformly shaped oyster. When selective breeding demonstrated that it could reduce time to market (50 g whole weight) by nearly a year out of an industry average of 3.5 years, the industry wanted to try hatchery technology. Although the industry had never used hatchery technology before, it purchased 10 million spat or 8% of its annual spat requirement from hatcheries in 2003-2004, the first year that they were made available to farmers. The industry also embraced the Australian Shellfish Quality Assurance Program, which requires that shellfish harvest areas be classified on the basis of a sanitary survey and the results of an ongoing strategic water-sampling programme. This programme ensures product safety for the consumers and helps to provide the industry with a long-term future.

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