Engineering Commons^™

El Nino Effects On Water Availability For Agriculture: Case Study Of Magelang, Central Java, Indonesia, Ayu Dyah Rahma, Fulco Ludwig

Applied Environmental Research

Climate change in Indonesia has resulted in a longer dry season. Furthermore, El Nino is one of the main factors causing drought in agricultural areas. The research aim is to study the water availability for agriculture in the Bompon sub-watershed, Magelang Regency, by identifying the El Nino Southern Oscillation (ENSO) impact related to climate variability and changes in extreme hydroclimatic events. Quantitative and qualitative research methods, including climate data analysis and interviews, were used. Quantitative methods were used based on the climate data analysis using R from the ERA5 climate model and water balance. Qualitative methods based on in-depth interviews …

Multi-Class Waste Classification Using Convolutional Neural Network, Yanfahmi Rayhan, Achmad Pratama Rifai

Applied Environmental Research

This study explores a method of waste classification using deep learning, specifically employing the Convolutional Neural Network (CNN). This research involves the creation of a unique dataset, a hybrid of publicly accessible data and a newly compiled collection of images across 13 waste classes: paper, glass, wood, metal, clothes, PCB e-waste, non-PCB e-waste, PET, HDPE, LDPE, PP, PVC, and PS. The development of the CNN model was approached in two ways: transfer learning and full learning. In the transfer learning approach, two pre-trained models, MobileNetV2 and DenseNet121, were utilized. While in the full learning approach, the architecture is constructed using …

Use Of Modified Blast Furnace Slag For Cadmium Removal In An Aqueous Medium, Toufik Chouchane, Mohamed Tayeb Abedghars, Sabiha Chouchane, Hazem Meradi, Atmane Boukari

Applied Environmental Research

In this work, blast furnace slag was converted to hydroxyapatite-zeolite (MS) through alkaline fusion and hydrothermal treatment, and then it was used to remove cadmium in solution by adsorption in batch mode. The process was accomplished under the influence of determining parameters, namely the contact time, mass of the adsorbent, stirring speed, pH of the medium, temperature of the solution, particle size of the slag, and initial concentration. MS consists mainly of sodium oxide, silica, alumina, lime, and phosphorus pentoxide. The Ca/P, Na/Al, and Si/Al ratios revealed that the converted slag is a hydroxyapatite-zeolite. Following the modification of the treated …

Simulated Microgravity, Indole-3-Acetyl Acid, And Cow Dung Influence On Zea Mays Plant Growth In Contaminated Soil, A. Ovenseri, A.O. Ogunkeyede, A.A. Adebayo, P. Tawari-Fufeyin, A.O. Orukpe, C. Udeochu Uche

Applied Environmental Research

This study investigated the effects of simulated microgravity, indole-3-acetic acid (IAA), and cow dung on Zea mays L. plants growing in soil contaminated with crude oil. Crude oil contamination affects plants negatively in morphology and physiology. For simulated microgravity exposure, IAA introduced and non-IAA introduced seeds of Zea mays L. were grown in a clinostat for 4days before taken to the nursery for planting. IAA was introduced to the seed by soaking in IAA solution for 90 minutes after which it was introduced to the microgravity stimulator (clinostat). After 14 days in the nursery, the seedlings were taken to the …

Exploring Google Earth Engine, Machine Learning, And Gis For Land Use Land Cover Change Detection In The Federal Capital Territory, Abuja, Between 2014 And 2023, Akus Kingsley Okoduwa, Chika Floyd Amaechi

Applied Environmental Research

This study aims to visualize various land use land cover (LULC) classes, estimate the net change in LULC types between the years 2014 and 2023, and use transition mapping to track LULC transitions within waterbody, vegetation, bareland, and buildup to better understand how land use types change from one another. Google Earth Engine (GEE), Random Forest (RF), and Geographic Information System (GIS) were used for LULC classification and change detection. The dataset employed for this study is Landsat-8 with 30 m resolution, and four land cover classes, which include waterbody, vegetation, bareland, and buildup, were classified for this study using …

Alstonia Scholaris Fruit Biomass, A Novel Adsorbent For The Removal Of Lead From Aqueous Solution, Aasif Abdullah Baba, Ajit Kumar Das, Abhik Gupta

Applied Environmental Research

The biosorption of lead (Pb) ions on Alstonia scholaris fruit biomass was investigated in batch and column experiments in an aqueous solution, emphasising the possible binding mechanism of Pb ions on the fruit biomass. The adsorption process was found to be dependent on parameters like adsorbent dose, initial Pb ion concentration, contact time, and pH. No impact was found on Pb adsorption during competitive adsorption. The results suggested that the fruit biomass could remove more than 97% of Pb ions from the aqueous solution. The Freundlich isotherm model best explained the obtained results. The monolayer adsorption capacity of the A. …

A Review On Water Security In Dhaka City, Bangladesh: Calling For Ensuring Sustainability, Wasim Akram, Wilailuk Niyommaneerat, Athit Phetrak, Suthirat Kittipongvises

Applied Environmental Research

Dhaka is currently facing a number of significant challenges, and one of them is the protection of water resources. The city is experiencing rapid depletion of groundwater as well as substantial pollution of its surface water. This article aims to highlight a review of the literature on the challenges of water security in Dhaka. The sustainability issues of water resources were elaborated in terms of management, quantity, and quality aspects. Having reviewed, it has been found that groundwater is depleting drastically over the years, which may have environmental, economic, and social consequences in the near future. Due to the rapid …

Effect Of Operating Parameters On Photocatalytic Treatment Of Synthetic Wastewater Using Catio3, Shilpa Mishra, Rekha Dom, Baranidharan Sundaram

Applied Environmental Research

Photocatalysis is thought to be a long-term, environmentally friendly, economically feasible, and promising technique for treating wastewater. The development of semiconductor nanoparticles has generated a great deal of interest in the treatment of wastewater. To break down complex contaminants found in wastewater into simpler compounds, including H2O and CO2, several UV/visible light excitable nanomaterials have been explored as photocatalysts. Their effectiveness can be managed by adjusting several reaction-related parameters like the intensity of light, irradiance time, pH, catalyst dose, temperature, doping, etc. The performance of the photocatalyst in the photodegradation of contaminants is greatly affected by these parameters. The main …

Assessing The Relationship And Effect Of Air Pollution [Pm 2.5] On Child Respiratory Illness And Child Mortality In The Philippines, Roel F. Ceballos, Rachell C. Gallano, Lenard D. Visaya

Applied Environmental Research

Air pollution is the presence of harmful substances in the air, which can seriously impact human health and the environment. Among the air pollutants, fine particulate matter (PM) 2.5, being a microscopic particle, poses serious health risks since it can enter the blood circulation and go deep into the lungs. PM 2.5 has been linked to several health problems, such as early mortality, problems with children's development, and unfavorable birth outcomes. In this regard, the study aims to investigate the relationship and effect of PM 2.5 on child respi-ratory illness and child mortality in the Philippines. Data on child respiratory …

Assessing The Short- And Long-Term Health Effects Of Nitrogen Dioxide In Agadir, Morocco: A Who Airq+ Model Application, Youssef Bouchriti, Mohamed Ait Haddou, Abderrahmane Achbani, Amal Korrida, Hasnaa Sine, Jamila Rida, Mohamed Boukrim, Belkacem Kabbachi

Applied Environmental Research

Epidemiological studies have revealed that exposure to atmospheric nitrogen dioxide (NO2) increases the risk of acute and chronic diseases. This study used the WHO AirQ model to assess both the short- and long-term impacts of NO2 on human health in the city of Agadir in Morocco. The mean NO2 values were obtained from measurements taken at two locations. This study assessed the long- term health effects of NO2 on natural all-cause mortality (LT-ACM), mortality due to respiratory diseases (LT-RD), and morbidity due to chronic obstructive pulmo-nary disease (LT-COPD), as well as the short-term health impacts of NO2 on natural all-cause …

Junkshops As Recycling Chain Actors In The Recovery Of Waste Resources From A Highly Urbanized City In The Philippines, Aries Roda D. Romallosa, Mary O’ T. Mary O’ T. Penetrante, Neil G. Ravena

Applied Environmental Research

This study was performed in order to identify the role and work mechanism of the 33 junkshops in the recovery of valuable recyclable materials for further processing by the next level hierarchy of recycling chain actors in Iloilo City, Philippines. Results revealed that more than 65% of the junkshops operate at 7 to 8 hours per day, hire 1 to 4 male workers, operate at an area of 50 to 1000 m2 with structures made of light materials, and with a capital outlay of 

Life Cycle Comparative Assessment Of Polyethylene Terephthalate (Pet) Plastic Bottles: A Case Study Of Drinking Bottled Water In Ramathibodi Hospital, Thailand, Anuchan Panaksri, Nuankanya Sathirapongsasuti, Cha-Re Thangto, Kittisak Jantanasakulwong, Pornchai Rachtanapun, Cholrit Luangjinda, Chairat Mekkaew, Phanom Suha, Nuntachai Thongpance, Sani Boonyagul, Nuttapol Tanadchangsaeng

Applied Environmental Research

In the current context where all sectors aim to promote sustainable development, hospitals, as large organizations with significant human interactions, face challenges in managing not only medical waste but also general waste such as water bottles. Improper management of these wastes can lead to environmental problems and high disposal costs. This study performed a life cycle assessment (LCA) of regular (petroleum-based) and alternative (bio-based) polyethylene terephthalate (PET) bottles used in Ramathibodi Hospital, Thailand, to identify effective strategies for mitigating environmental impacts. The assessment was divided into three scenarios: label-free bottles, bio-based bottles, and 100% recycling. The results indicate that using …

Spatiotemporal Patterns Of Land Surface Temperature, Urban Heat Island, And Potential Heat Stress Risk Areas Assessment For Tropical Inland City And Coastal City In Thailand, Thar Htet Aung, Sakpod Tongleamnak, Rasamee Suwanwerakamtorn

Applied Environmental Research

Global warming and rapid urban growth, compounded by the urban heat island (UHI) effect, are posing substantial challenges for urban populations and ecological well-being due to increased heat stress risks. This study aimed to analyze the spatiotemporal patterns of land surface temperature (LST), UHI, and potential heat stress risk areas (PHSRA) in two distinct cities, an inland city, Nakhon Ratchasima, and a coastal city, Si Racha, during the summer. Geoinformatics techniques and Crichton’s Risk Triangle method were employed, using updated demographic data and Sentinel-3 data from 2017 to 2022. The findings indicate that the inland city daytime average LST values …

Using Neural Networks For Sustainable Land Use Prediction In Sumbawa Regency, Indonesia, Muhammad Ramdhan, Rudhy Akhwady, Taslim Arifin, Dini Purbani, Yulius -, Dino G. Pryambodo, Rinny Rahmania, Olivia Maftukhaturrizqoh, Abdul Asyiri, Syamsul Hidayat, Arya Ningsih, Sadad -

Applied Environmental Research

Agriculture is vital to Sumbawa Regency's economy, with key activities such as rice cultivation, corn production, onion farming, and cattle rearing. This study applies artificial neural networks (ANN) to predict land cover changes, focusing on agricultural land expansion. Using land cover datasets from ESRI, digital elevation model, and topographical maps, we analyzed land cover changes from 2017 to 2023 and generated future projections for 2050 with the MOLUSCE plugin in qGIS. The predictive model achieved an 85% accuracy rate when comparing 2023 actual data with predictions. Results indicate a significant increase in agricultural land cover by 2050. The key finding …

A Review On Chemometrics And Climate Change: Insights From Malaysia Case Study, Ismafatin Nabilah Ismail, Mohd Khairul Amri Kamarudin, Wan Nor Azilawanie Tun Ismail, Noorjima Abd Wahab, Ahmad Shakir Mohd Saudi, Mohd Ekhwan Toriman, Firdaus Mohamad Hamzah, Septi Ariadi

Applied Environmental Research

Climate change consider as main issues and concerns in Malaysia over the decade. Chemometrics techniques have been used in many climate change issues to address the limitations of climate change monitoring studies. In climate change areas, chemometrics is a valuable tool for assessing the correlation between different climate change factors, especially in vast and intricate databases. The purpose of the review was to evaluate and summarise the available data and restrictions regarding the use of chemometrics techniques in Malaysian environmental studies. The study conducted a thorough analysis of pertinent scientific papers published between 2019 to 2023 that addressed the main …

Optimizing Tenebrio Molitor Feeding Strategy To Induce Physical Degradation Of Tires: A Novel Approach For Sustainable Waste Management, Abdussalam Topandi, Khadijah Sayyidatun Nisa, Fatimah Azizah Riyadi, Ibnu Maulana Hidayatullah, Pranata -, Firah Gustianda Ayu, Reynaldi Ivan Prasetya, Frederick Soetandar, Dimas Rafi Narawangsa, Eka Rahayu

Applied Environmental Research

Due to the increased usage of tires, the accumulation of worn tires has become a significant environmental concern and necessitates environmentally friendly waste management strategies. Conventional methods, such as tire incineration or improper disposal, contribute to environmental degradation. It is reported that organisms, such as Tenebrio molitor larvae, can degrade a wide range of polymers. This study explores the promising potential of Tenebrio molitor larvae in addressing this concern. Through a series of experiments, Tenebrio molitor larvae were fed with cut-worn tires to facilitate degradation. The larvae exhibited remarkable capabilities, surviving and thriving on tires as a sole carbon source …

Screening, Isolation And Hydrocarbon Degradation Characteristics Of Yeasts From Mangrove Sediments Of Kerala, Vidya Pothayi, Sreedevi N Kutty, Sebastian Chempakassery Devasia

Applied Environmental Research

The aim of the present work was to examine the hydrocarbon degradation potential of yeasts isolated from the mangrove sediments. Mangrove sediments around the world were considered to be heavily polluted with oil contaminants and the microbes dwelling in them were believed to be highly active in metabolizing and detoxifying the oil fractions. In the present study, 70 yeast isolates were screened for their lipolytic activity qualitatively and 35 of them which showed comparatively higher lipolysis were tested for their crude oil degradation ability. Screening of hydro-carbon utilizing isolates was performed on Bushnell Haas agar media overlaid with 1% crude …

Application Of Remote Sensing In Analyzing Mangrove Forest Changes And Drivers In Mui Ca Mau National Park, Vietnam, Nguyen Thi Huyen, Le Hoang Tu, Phan Thi Ha, Nguyen Kim Duyet, Nguyen Kim Loi

Applied Environmental Research

Mangroves are vital in coastal ecology and for sustaining and securing coastal communities. However, several factors such as human activities and climate change have changed mangroves' quantity and quality. This research analyses land-use/land cover (LULC) changes focusing on mangroves in Mui Ca Mau National Park (MCMNP) from 1995-2022. Collected Landsat imagery in 1995, 2003, and 2022 were applied to perform this research. Overall accuracy and Kappa of land cover classification were 88.5% and 0.86 in 2003, and 87.6% and 0.85 in 2022, respectively. The classified results showed that the mangrove area had increased significantly from 4,316.1 hectares in 1995 to …

Establishing Optimal Machine Learning Models For Monitoring Water Quality In Vietnam’S Upper Ma River, Thanh-Son Ngo, Duc-Loc Nguyen

Applied Environmental Research

This study aims to establish the optimal regression model for predicting total suspended solids (TSS) and Turbidity based on in situ data and spectral regions of Sentinel-2 images. Various machine learning models were evaluated, including Multilayer Perceptron Regression (MLPR), Random Forest Regression (RFR), AdaBoost Regression (ABR), Multiple Linear Regression (MLR), and K-Nearest Neighbors Regression (KNNR). These models were applied to different band combinations of spectral regions: visible (VIS), near-infrared (NIR), shortwave-infrared (SWIR), VIS+NIR (VNIR), and VIS+NIR+SWIR (VNIR+SWIR). The study results revealed that the MLR model, while not the best performer during training (R2 = 0.89 for TSS and R2 = …

Implementing Unmanned Aerial Vehicles To Collect Human Gait Data At Distance And Altitude For Identification And Re-Identification, Donn E. Bartram

Graduate Theses, Dissertations, and Problem Reports (ETD)

Gait patterns are a class of biometric information pertaining to the way a person moves and poses. Gait information is unique to each person and can be used to identify and reidentify people. Historically, this task has been achieved through the use of multiple ground-based imaging sensors. However, as Unmanned Aerial Vehicles (UAVs) advance, they present the opportunity to evolve the process of persons identification and re-identification. Collecting human gait data using UAVs at distances ranging from 20m to 500m and altitudes ranging from 0m to 120m is a challenging task. The current biometric data collection methods, primarily designed for …

Towards Interpretable Propaganda Detection In News Text Through The Use Of Rhetorical Devices As Features, Kyle Hamilton

Doctoral

This doctoral thesis presents research undertaken towards interpretable propaganda detection in news text. Propaganda and mis/disinformation in the media have been identified in the social sciences literature as a major threat to the functioning of democratic society. While mis/disinformation is false by definition, propaganda is intended to modify the beliefs and behaviors of the information consumer but does not have to be false. Propagandistic text is often characterized by the use of rhetorical devices and linguistic style designed to exploit the reader’s cognitive and emotional biases. One way of counteracting this effect is by shifting the focus from “what” is …

Energy Content Of Acorns Of Shinnery Oak (Quercus Havardii) In The Diet Of Scaled Quail (Callipepla Squamata) In Southeastern New Mexico, J.L. Hunt, M.E. Grilliot, T.L. Best, D. Lozano-Lopez, E.R. Neilson, I.C. Castillo

Journal of the Arkansas Academy of Science

Shinnery oak (Quercus havardii) is a deciduous, low-growing shrubby tree that is a dominant plant in large areas of grassland in western Oklahoma, the Texas Panhandle, and eastern New Mexico. Acorns of the plant are important food items for many wildlife species, including scaled quail (Callipepla squamata), mourning doves (Zenaida macroura), and endangered lesser prairie-chickens (Tympanuchus pallidicinctus). We analyzed the energy content of acorns of shinnery oak obtained from the crops of scaled quail collected from plains-mesa sand-scrub in Lea and Eddy counties, New Mexico. Acorns were removed from crops and dried for 48 hours at 60°C to remove moisture …

Reducing Food Scarcity: The Benefits Of Urban Farming, S.A. Claudell, Emilio Mejia

Journal of Nonprofit Innovation

Urban farming can enhance the lives of communities and help reduce food scarcity. This paper presents a conceptual prototype of an efficient urban farming community that can be scaled for a single apartment building or an entire community across all global geoeconomics regions, including densely populated cities and rural, developing towns and communities. When deployed in coordination with smart crop choices, local farm support, and efficient transportation then the result isn’t just sustainability, but also increasing fresh produce accessibility, optimizing nutritional value, eliminating the use of ‘forever chemicals’, reducing transportation costs, and fostering global environmental benefits.

Imagine Doris, who is …

Foreword From Editor - 14th Edition, Yandi Andri Yatmo

ASEAN Journal of Community Engagement

This edition of AJCE brings together discussions on the various roles and effectiveness of research and community engagement programs in strengthening local identity, developing skills, and enhancing quality of life towards a resilient society. Expanding such roles, this issue consists of four research articles, one review article, and three case-based articles. The authors of this edition emerge from the background of language, engineering, economy, policy, education, and health, providing different outlooks and methods in overseeing the processes of community-related programs.

Library Steam Kits: Developing Circulatable Curriculum For Community Steam Learning, Daphne Fauber, Ashley Fletcher

Purdue Journal of Service-Learning and International Engagement

Public libraries serve as repositories for a movement described as cultivation of the Library of Things. In the wake of COVID-19, the West Lafayette Public Library enhanced its existing Library of Things collection through the creation of science, technology, engineering, art, and mathematics (STEAM) kits. Since 2017, the West Lafayette Public Library has held regular free STEAM programs for the community; those programs were put on hold during the height of the COVID-19 pandemic, which concurred with a library renovation. These kits provide the community with the ability to learn STEAM concepts at home engaging, hands-on activities that may otherwise …

Collaborations, Not Competitions, Can Reduce Gender Disparities In Robotics, Sonia Roberts, Alysson Light

Feminist Pedagogy

No abstract provided.

Fintech And Entrepreneurship: An Assessment Model To Evaluate Policy Instruments For Fintech Adoption By Small And Medium Enterprises (Smes), Deemah Abdullah Alassaf

Dissertations and Theses

Small and medium enterprises (SMEs) are the engines that drive economic development. They are the backbone of the middle class as they provide social stability, innovation, inclusive growth, and poverty alleviation. SMEs contribute significantly to job creation, employment, tax provision and the Gross Domestic Product (GDP). However, they face inferior conditions and challenges when it comes to their financing compared to that of large enterprises, as well as having a high expectancy of failing. Because of these limitations, SMEs tend to grow slowly since building up higher credit is difficult for them, and in addition to this, they lack access …

12.04.2023 Orsp Connect, Liz Williamson

ORED Newsletter

Week of December 4, 2023

12.11.2023 Orsp Connect, Liz Williamson

ORED Newsletter

December 11, 2023 Newsletter

The Unheard Voices Of The Arkansas Delta: Living Through School Desegregation, Tameka D. Williams

ATU Theses and Dissertations 2021 - Present

This study was guided by the central research question: What are the lived experiences and perceptions of former African American teachers and students that endured segregation, desegregation, and integration in Arkansas' Delta? The phenomenological study used eight former African American teachers and student participants. Of the participants, there were four former teachers and four former students. In this study, the participants' voices are captured as they share their experiences and perception of each phase of education that influenced their lives and left an everlasting imprint. Through counternarratives, the participants provided insight into education in the Arkansas Delta during school segregation, …