Technology Reports of Kansai University (ISSN: 04532198) is a monthly peer-reviewed and open-access international Journal. It was first built in 1959 and officially in 1975 till now by kansai university, japan. The journal covers all sort of engineering topic, mathematics and physics. Technology Reports of Kansai University (TRKU) was closed access journal until 2017. After that TRKU became open access journal. TRKU is a scopus indexed journal and directly run by faculty of engineering, kansai university.
Technology Reports of Kansai University (ISSN: 04532198) is a peer-reviewed journal. The journal covers all sort of engineering topic as well as mathematics and physics. the journal's scopes are
in the following fields but not limited to:
Increased population and urbanization is one of the changes in the use of the Wadaslintang Reservoir catchment area, this condition has the potential to cause pollution of some heavy metals that can accumulate in this aquatic biota. This study aims to determine the concentration and bioconcentration of Pb, Zn, Cu, and Cd heavy metals in Anodonta woodiana Lea (freshwater shellfish), Pomacea canaliculata Lamarck (golden apple snail), and Cherax quadricarinatus Von Martens (crayfish) in the Wadaslintang Reservoir. Samples of freshwater shellfish, snails, and crayfish were randomly collected in an area of + 100 m2 in three research stations at a depth of 0.0 - 0.5 m. Sampling was conducted in August - October 2018. The results showed that the three aquatic organisms contained heavy metals Cu, Cd, Pb, and Zn. The highest concentration is in A. woodiana, then P. canaliculata and the lowest concentration is in C. quadricarinatus. The results of the BCF value calculation showed the highest bioaccumulation values found in A. woodiana and P. canaliculata were Zn, which included in the category of moderate accumulation. Whereas in C. quadricarinatus the highest bioaccumulation value is Pb, but it is still included in the low accumulation category
This paper presents a novel non-invasive monitoring method, based on a Liénard-type model (LTM) to diagnose single and sequential leaks in liquid pipelines. The LTM describes the fluid behavior in a pipeline and is given only in terms of the flow rate. Our method was conceived to be applied in pipelines mono-instrumented with flowmeters or in conjunction with pressure sensors that are temporarily unavailable. The approach conception starts with the discretization of the LTM spatial domain into a prescribed number of sections. Such discretization is performed to obtain a lumped model capable of providing a solution (an internal flow rate) for every section. From this lumped model, a set of algebraic equations (known as residuals) are deduced as the difference between the internal discrete flows and the nominal flow (the mean of the flow rate calculated before the leak). Once the residuals are calculated a principal component analysis (PCA) is carried out to detect a leak occurrence. In the presence of a leak, the residual closest to zero will indicate the section where a leak is occurring. Some simulation-based tests in PipelineStudio® and experimental tests in a lab-pipeline illustrating the suitability of our method are shown at the end of this article