تعاني محطات معالجة مياه الصرف الصحي كثيرا من مشكلة ادارة ومعالجة الحمأة الناتجة عن المعالجة إذ تشكل عمليات معالجة وطرح الحمأة حوالي (30-40) % من كلفة التاسيس لمحطات المعالجة
In this search, the removal of copper and lead ions from aqeous solutions by flotation had
been studied, and the effect of various factors on the removal process.
The study showed that the removal of copper and lead ions was increased by increasing
the
value of the solution pH up to pH = 8 and the removal rate was 80%.
At pH = 10 precipitation of the ions was obtained in the form of hydroxides.
The removal ratio of both ions is increased by increasing the flow of the air within the
solution to reach 98% for copper and 97% for lead at the flow of Q = 1000 ml/min and
then the removal rate decreases to 60% with increasing airflow to Q = 1500 ml/min.
The initial concentration values affect the removal process and the increase in the removal
ratio was shown by increasing the initial concentration. The removal rate of copper ions
was 50 % at the initial concentration of C0 = 50 mg / l to 98% at C0 = 100 mg / l. While the
lead removal rate was 61 % at the initial Concentration C0 = 50 mg/l to 97% at
concentration C0 = 100 mg / l.
Two hundred fecal samples were randomly collected from various
aged broiler flocks farms, which suffered from diarrhea or
respiratory problem or both in Tartous and Latakia Provinces of
Syria.
This study demonstrated the infection of the broiler
flocks with
Cryptosporidium in Tartous Province of Syria with a rate of 5.6%
only.
The results of tests based on morphology and size of
Cryptosporidium oocysts showed that the parasite is probably
C. baileyi which ranged in size about (6 μm X 4.5 μm).
Through our research we develop an Expert System called
Transformer Fault Detection and abbreviation Exformer, to help
engineers and technical's in detecting and diagnosis of oiled power
transformer faults before it going out of service. We also u
se Fuzzy
Logic in ambiguous data cases about gas ratios in transformer oil,
which require use of fuzzy rules in knowledge base of expert
system. We also discuss basis of using Artificial Neural Networks
and choose number of layers, number of neurons and suitable neural
network for power transformers faults analysis and compare.
