Performance Evaluation of Al-Karkh Water Treatment Plant Using Model-driven and Data-Driven Models

Basim Hussein Khudhair; Awatif Soaded Alsaqqar; Basim H. Khudair

doi:10.1088/1755-1315/779/1/012110

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Publication Date

Tue Jun 01 2021

Journal Name

Iop Conference Series: Earth And Environmental Science

Volume

779

DOI

10.1088/1755-1315/779/1/012110

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Performance Evaluation of Al-Karkh Water Treatment Plant Using Model-driven and Data-Driven Models

Operational performance evaluation

water treatment plant

multiple linear regression

multivariate multiple regression

artificial neural network model

model-driven and data-driven modeling types.

Basim Hussein Khudhair

Awatif Soaded Alsaqqar

Basim H. Khudair

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Abstract<p>There is a great operational risk to control the day-to-day management in water treatment plants, so water companies are looking for solutions to predict how the treatment processes may be improved due to the increased pressure to remain competitive. This study focused on the mathematical modeling of water treatment processes with the primary motivation to provide tools that can be used to predict the performance of the treatment to enable better control of uncertainty and risk. This research included choosing the most important variables affecting quality standards using the correlation test. According to this test, it was found that the important parameters of raw water: Total Hardness, Calcium, Magnesium, Total Solids, Nitrite, Nitrates, Ammonia, and Silica are to be used to construct the specific model, while pH, Fluoride, Aluminium, Nitrite, Nitrate, Ammonia, Silica, and Orthophosphate of the treated water were eliminated from the analysis. For modeling the coagulation and flocculation process temperature, Alkalinity and pH of raw water were the depended variables of the model. As for the modeling process turbidity of the treated water was used as the output variable. In general, the linear models including model-driven type, (Multivariate multiple regression, MMR and Multiple linear regression, MLR) have slightly higher prediction efficiencies than the, data-driven type (artificial neural network, ANNM). The coefficients of determination (R<sup>2</sup>) reached 66 to 85% for the MMR and MLR models and 65 to 81% for the ANN models.</p>

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Publication Date

Wed Mar 01 2023

Journal Name

Journal Of Engineering

Recycled Concrete Aggregated for the use in Roller Compacted Concrete: A Literature Review

Roller compacted Concrete

Recycled Aggregate

Construction and Demolition Waste

Recycled Concrete Aggregates

Mustafa Q.

Zena K.

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The using of recycled aggregates from construction and demolition waste (CDW) can preserve natural aggregate resources, reduce the demand for landfill, and contribute to a sustainable built environment. Concrete demolition waste has been proven to be an excellent source of aggregates for new concrete production. At a technical, economic, and environmental level, roller compacted concrete (RCC) applications benefit various civil construction projects. Roller Compacted Concrete (RCC) is a homogenous mixture that is best described as a zero-slump concrete placed with compacting equipment, uses in storage areas, dams, and most often as a basis for rigid pavements. The mix must be sufficiently dry to support

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(7)

Publication Date

Sun Jan 08 2023

Journal Name

Journal Of Planner And Development

Design bases for waste recycling rules in cities/ Baghdad, a case study"

(waste recycling

hierarchy

waste recycling centers

design principles and standards

global experiences).

Sadeq

Amjad

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Waste is one of the most important problems affecting the city’s environment and its urban landscape, which results from the activities and activities of man and the natural environment. Its sources have varied between residential, commercial, industrial, medical and hazardous, and its spread in cities, on roads and on abandoned open lands, has led to significant negative effects and risks to human health and the environment.

Therefore, there were serious attempts to deal with waste and follow sequential steps that formed a waste management system such as (collection, sorting, transport, then treatment and disposal). Preventing and reducing waste, then recycling and recovering by composting or burning, and ending with bu

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Publication Date

Sat May 31 2025

Journal Name

3rd International Scientific Conference For Human And Social Studies And Epistemological Challenges

Frankenstein Complex in Daniel H. Wilson's Robopocalypse ( ): Artificial Intelligence Conspiracies

With the advent of technology

the fear of losing control has consistently accompanied humanity. While humans have discovered

invented

and created many remarkable things

they have also been haunted by the possibility of their creations turning against them. This fear

often referred to as the Frankenstein Complex

derives its name from Mary Shelley's Frankenstein (􀀔􀀛􀀔􀀛)

in which Dr. Frankenstein's creation ultimately destroys its maker. The Frankenstein Complex embodies the subconscious fear of artificial intelligence (AI) surpassing and potentially dominating humankind. This apprehension has inspired numerous literary works

including Daniel H. Wilson’s novels. The present study examines the widespread fear of AI

which has fueled conspiracy theories in literature. These theories have not only amplified public anxiety but also hindered understanding among those with limited knowledge of AI and robotics. Dr. Wilson

a robotics expert

uses his imagination as a driving force for both his writing and his inventions. The research focuses on incidents leading to the rise of robots

the concept of the New War

how it was fought

and how it concluded. By comparing

contrasting

and analyzing literary elements and devices with prominent conspiracy theories

the study highlights the interplay between fiction and scientific development. The researchers conclude that while many conspiracy theories contain elements of truth

they often inspire scientists to explore them further. Additionally

some conspiracy theories warrant serious consideration. The study recommends acknowledging the Frankenstein Complex while maintaining faith in the potential benefits of artificial intelligence.

Ansam

Mayada

Zahraa

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Publication Date

Sat May 30 2026

Journal Name

Journal Of Baghdad College Of Dentistry

Shear bond strength of stainless steel brackets bonded to porcelain surface treated with 1.23% acidulated phosphate fluoride gel compared to hydro fluoric acid with silane coupling agent (In vitro comparative study)

Tariq M

Fakhri A

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Background: With the increasing demands for adult orthodontics, a growing need arises to bond attachments to porcelain surfaces. Optimal adhesion to porcelain surface should allow orthodontic treatment without bond failure but not jeopardize porcelain integrity after debonding.The present study was carried out to compare the shear bond strength of metal bracket bonded to porcelain surface prepared by two mechanical treatments and by using different etching systems (Hydrofluoric acid 9% and acidulated phosphate fluoride 1.23%). Materials and Methods: The samples were comprised of 60 models (28mm *15mm*28mm) of metal fused to porcelain (feldspathic porcelain). They were divided as the following: group I (control): the porcelain surface left u

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Publication Date

Sat Dec 24 2022

Journal Name

Wasit Journal For Pure Science

β*-Regular supra topological spaces

supra closed

supra g-open

supra semi .open

supra closure and supra interior

Ehab A.

Afraa R.

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Form the series of generalization of the topic of supra topology is the generalization of separation axioms . In this paper we have been introduced (S * - SS *) regular spaces . Most of the properties of both spaces have been investigated and reinforced with examples . In the last part we presented the notations of supra *- -space ( =0,1) and we studied their relationship with (S * - SS *) regular spaces.

Publication Date

Thu Sep 13 2018

Journal Name

Baghdad Science Journal

On Soft Turning Points

Soft compact

Soft ideal

Soft separation axioms

Soft set and Soft turning points.

Luay A.

Fatima S.S.

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The soft sets were known since 1999, and because of their wide applications and their great flexibility to solve the problems, we used these concepts to define new types of soft limit points, that we called soft turning points.Finally, we used these points to define new types of soft separation axioms and we study their properties.

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Publication Date

Thu Feb 02 2012

Journal Name

Education College Journal/al-mustansiriyah University

On Significance Testimator in Pareto Distribution Via Shrinkage Technique

Pareto Distribution

Shrinkage Estimation

Preliminary Test Region

Bias

Mean Squared Error and Relative Efficiency.

Maha

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In this paper, preliminary test Shrinkage estimator have been considered for estimating the shape parameter α of pareto distribution when the scale parameter equal to the smallest loss and when a prior estimate α0 of α is available as initial value from the past experiences or from quaintance cases. The proposed estimator is shown to have a smaller mean squared error in a region around α0 when comparison with usual and existing estimators.

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Publication Date

Wed Mar 02 2022

Journal Name

Journal Of Educational And Psychological Researches

King Khalid University towards Strategies Compatible with Brain-Based Learning (BBL)

high-study students

curriculum and teaching methods

applicability

level of knowledge

brain-based learning

Ibrahim Ahmed Al-Farhan

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The study aimed to reveal the level of knowledge and tendencies of high- study students specializing in curriculum and teaching methods at King Khalid University towards harmonious strategies with brain-based learning (BBL). And Then, putting a proposed concept to develop knowledge and tendencies of high-study students specializing in curriculum and teaching methods at King Khalid University towards harmonious strategies with Brain-based learning (BBL). For achieving this goal, a cognitive test and a scale of tendency were prepared to apply harmonious strategies with brain-based learning. The descriptive approach was used because it suits the goals of the study. The study sample consisted of (70) male and female students of postgraduate

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Publication Date

Sun Dec 27 2020

Journal Name

Iraqi Journal Of Pharmaceutical Sciences ( P-issn 1683 - 3597 E-issn 2521 - 3512)

CYP2D6 Genotype in Relation to Liver Toxicity Due to Tetrabenazine in Iraqi Patients with Hyperkinetic Movement Disorders

Dystonia

chorea

Tetraberazine

Alpha and Beta dihydrotetrabenazine

CYP 450 2D6 enzyme polymorphism

liver function.

Zainab A.

Shatha H.

Nawfal M.

...Show More Authors

Abstract

The common types of movement disorders are ; dystonia which is a syndrome of repetitive muscle contractions. While , Huntington disease is autosomal dominant progressive neurodegenerative disorder, which is characterized by involuntary movements (“chorea”).

Tetrabenazine therapy has been shown to effectively control this movements compared with placebo.

Design the proper dosing approach for patients treated with tetrabenazine with genotype polymorphisms and their hepatic effect on patients.

A prospective case controlled study was carried on 50 patients whom divided into 2 groups :first group involved 25 patients who had cho

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Publication Date

Sun Jun 01 2014

Journal Name

Baghdad Science Journal

Survival estimation for singly type one censored sample based on generalized Rayleigh distribution

Maximum likelihood method

type one censored sample

interval estimation method

and fisher information matrix .

Iden H.

Hind J.

...Show More Authors

This paper interest to estimation the unknown parameters for generalized Rayleigh distribution model based on censored samples of singly type one . In this paper the probability density function for generalized Rayleigh is defined with its properties . The maximum likelihood estimator method is used to derive the point estimation for all unknown parameters based on iterative method , as Newton – Raphson method , then derive confidence interval estimation which based on Fisher information matrix . Finally , testing whether the current model ( GRD ) fits to a set of real data , then compute the survival function and hazard function for this real data.

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