Hydrogen production via in-line pyrolysis-reforming of organic solid waste enhanced by steel slags

In the present investigation, the weight, growth, adaptability and production of humus of a calf foot of Californian red worm (Eisenia foetida) fed with compost (made from animal excreta and organic waste) and organic remains were evaluated. The evaluation was carried out in Tarma, Junín Region. A breeding ground was built with 3.2 m3 cement bricks (6.10 m long  1.05 m wide and 0.50 m high); with a 5 cm thick screed with a 2” PVC drain pipe with a west-east slope, raised by the west side at 15°. A population of 10,000 individuals (10 kilograms) was sown, a sample of 370 individuals was extracted by applying a Simple Random Sampling (MAS) whose average weight and length was 0.3 g and 30 mm. they were fed for 3 months (90 days), the calf was divided into 21 sampling points from which 383 worms were weighed and measured whose average weight and length were 0.38 g and 33.24 mm (3.32 cm). Data were taken every day at 2:00 pm, hydrogen potential (pH) and humidity (soil peach meter), substrate temperature (digital thermometer), ambient temperature (thermohygrometer) were recorded. The average weight of the worms varied from 0.30-0.38 g, the average length varied from 30-33.24 mm. The presence of tiny heels and worms demonstrated their adaptability. The production of humus was 3 tons, the efficiency of the breeding stock was 93.75%. The final substrate had an average of 6.72 pH, 13.61°C temperature, 69.86% humidity and 19.5°C ambient temperature. Consequently, vermicompost is an alternative in the treatment of organic solid waste to be developed in high Andean areas.

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Application of machine learning methods for the prediction of organic solid waste treatment and recycling processes: A review

Bioresource Technology ◽

10.1016/j.biortech.2020.124114 ◽

2021 ◽

Vol 319 ◽

pp. 124114

Author(s):

Hao-nan Guo ◽

Shu-biao Wu ◽

Ying-jie Tian ◽

Jun Zhang ◽

Hong-tao Liu

Keyword(s):

Machine Learning ◽

Solid Waste ◽

Waste Treatment ◽

Learning Methods ◽

Machine Learning Methods ◽

Organic Solid Waste ◽

Organic Solid ◽

Solid Waste Treatment

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Resource recovery and circular economy from organic solid waste using aerobic and anaerobic digestion technologies

Bioresource Technology ◽

10.1016/j.biortech.2020.122778 ◽

2020 ◽

Vol 301 ◽

pp. 122778 ◽

Cited By ~ 26

Author(s):

Steven Wainaina ◽

Mukesh Kumar Awasthi ◽

Surendra Sarsaiya ◽

Hongyu Chen ◽

Ekta Singh ◽

...

Keyword(s):

Anaerobic Digestion ◽

Solid Waste ◽

Circular Economy ◽

Resource Recovery ◽

Organic Solid Waste ◽

Organic Solid ◽

Aerobic And Anaerobic

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