International Journal of Environment, Engineering and Education
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Modified Tricycles as Public Transport during Tidal Flooding Events: The Case of Tikling in Hagonoy, Bulacan, Philippines
Full text linkPublic transportation is one of the sectors most affected by high tides in Hagonoy, Bulacan, Philippines. To overcome the challenges posed by these tides, local tricycles, a form of public transportation, have been modified with elevated sidecars and driver's seats that remain above the water level. These modified tricycles are locally known as Tikling. This study aims to identify the perceived risks associated with public transportation, specifically Tikling, during tidal flooding events in selected Barangays in Hagonoy, Bulacan, Philippines. The researchers employed a mixed-method design to gather the necessary information and address the study's objectives. Data were collected from 161 respondents, including 130 passengers, 25 Tikling drivers, and six representatives from local government units and the Municipal Disaster Risk Reduction Management Office. The findings revealed that passengers perceive riding Tikling under different weather conditions, flood levels, and ground clearance to pose moderate risks, as indicated by a mean score of 6.42, and that floods contribute to increased travel time and fare. The recommendations from the local government units include revisiting tariffs to establish accurate travel fees, conducting an Education Information Campaign to raise awareness about the risks associated with traveling, improving the structural quality of Tikling, and promoting coordination between the Pedicab Tricycle Operators and Drivers Associations (PETODA), a local association of tricycle drivers, and the local government office. The study suggests standardizing Tikling to minimize the risks involved. This standardization should address factors such as ground clearance, materials used, and the appropriate design of these modified public vehicles
Water Salinity in Agriculture: Analyzing Irrigation Water Quality for Farmers
Full text linkThe primary aim of this study is to assess irrigation water's salinity levels and categorize them as regular, slightly to moderately saline, or severely saline, using the salinity parameters established by Ayers and Westcot as a reference. This practice plays a substantial role in global agriculture, accounting for 20% of total cultivated land and contributing 40% of the world's food production. It falls under the classification of water usage known as Class C, which encompasses Fishery Water for the propagation and growth of aquatic resources, Recreational Water Class II for boating and similar activities, and Agriculture, including irrigation and livestock watering. This classification underscores irrigation water's profound influence on agriculture as a whole. Salinity, often considered one of humanity's earliest environmental challenges, is paramount. Excessive salinity in agriculture, particularly in the context of rice (Oryza sativa L.) cultivation, a staple crop that nourishes half of the global population, poses a formidable threat. High salinity levels can potentially hinder plant growth, reduce crop yields, and compromise the quality of agricultural products. This research seeks to illuminate the critical issue of salinity in irrigation, specifically focusing on its implications for rice cultivation, which plays a pivotal role in global food security. By delineating the salinity status of irrigation water, it aims to provide valuable insights into the challenges confronted by agricultural communities and lay the groundwork for informed decision-making in sustainable agriculture
The Implementation of the Mangrove Quality Index: A Way to Overcome Overestimation and Classification Concerns in Detecting Mangrove Forest Cover
Full text linkThe increasing applications of Geographic Information Systems (GIS) and Remote Sensing (RS) for mapping, predicting, and monitoring are practical for sustainable mangrove ecosystem management. This study evaluated various geospatial techniques for detecting healthy mangroves on the eastern coast of Sri Lanka, including single spectral indices, supervised/unsupervised classification, and developed methods using Landsat data. The use of medium-resolution satellite data and the uniqueness of the mangrove ecosystem are generally involved in discriminating healthy mangroves from non-mangrove areas. This study focused on detecting degraded narrow patches of mangroves on the Eastern coast of Sri Lanka using Landsat 8 remote sensing data and five vegetation indices. The accuracy of the results was assessed using randomly generated points. The study used ArcGIS Desktop software for processing, analyzing, and integrating spatial data to meet the research objectives. The mangroves were detected using Landsat 8 OLI satellite images from 2018 and 2021. The results showed high overestimation/underestimation and misclassification of mangroves, thus applying Mangrove Quality Index (MQI). Findings of MQI provide insights into overall mangrove health and identify three degradation classes of mangroves on the Eastern coast of Sri Lanka. The application of MQI in well-developed and degraded mangrove ecosystems merits further investigations, which provide reliable information for conservation priorities
The SAVI Learning Model and the 21st Century Skills: Developing Critical Thinking, Collaboration, and Creativity in Students Vocational High School
Full text linkThe use of the SAVI learning model offers a more effective alternative in improving student learning outcomes by understanding individual learning preferences and providing learning strategies that follow the objectives of this study, namely to evaluate the use of the SAVI learning model for vocational high school students. The research approach used in this study is quantitative, using numbers and statistical analysis. The research design used was pre-experimental in a one-group pretest-posttest design. The present research study focused on the student population enrolled in vocational high schools in Makassar, Indonesia. Purposive sampling was used to select the most suitable sample for achieving the research objectives. The sample size consisted of 30 students, 25 of whom were male and five females. The SPSS Program enters data, performs statistical analysis, and visualizes the research results. The hypothesis test is tested at a significance level of 5% or 0.05. The results of testing the hypothesis using the SPSS application with the paired sample t-test data analysis technique obtained a significance of 0.000 where 0.000 < 0.05, which means that H0 is rejected and H1 is accepted. The analysis results prove that student learning outcomes (post-test) have increased compared to (pre-test). The SAVI learning model is more efficacious than traditional learning approaches, as it affords students a more engaging, enjoyable, and enduring educational encounter. It can serve as a pragmatic substitute for enhancing the caliber of education and students' academic achievements
Complexities of Water Pollution: A Review of Surface Water Contamination in Sri Lanka
Full text linkWater is indispensable for sustaining life, food production, economic growth, and well-being. However, the growing population and industrialization have intensified the demand for freshwater, posing significant challenges to water resources in Sri Lanka. This review paper focuses on understanding the types and causes of water pollution, with a particular emphasis on surface water pollution, as well as exploring preventive measures in the context of Sri Lanka. Given its severe consequences and the global issue of water scarcity, water pollution has gained attention from researchers, scientists, and organizations. Surface water bodies, such as lakes and rivers, face pollution primarily due to inadequate management of sewage and industrial effluents. Insufficient sanitation facilities in low-income settlements further exacerbate the problem, affecting the country. Despite existing regulations, the lack of monitoring allows improper waste disposal practices to persist. Rural areas experience groundwater contamination from agrochemicals, while urban areas suffer from pollution caused by domestic sewage. Considering the limited resources, prioritizing pollution prevention proves to be a cost-effective approach. Effective control measures are required to address marine pollution, adversely impacting fisheries and tourism. Recognizing the interconnected nature of all types of water pollution is crucial, as they contribute to ecological degradation. To safeguard water resources, several measures must be implemented. These include improving sewage treatment systems, implementing better management practices for industrial effluents, prioritizing pollution prevention strategies, and strengthening monitoring mechanisms. Prioritizing water resource preservation will safeguard ecosystems, support sustainable development, and ensure well-being
Empowering Communities for Environmental Change: Waste Segregation Solutions in Alido Heights
Full text linkOne of the significant environmental challenges we face is improper waste segregation. Poor waste disposal practices hinder the progress of integrated solid waste management in households. This study aims to identify problems encountered during implementation and provide specific solutions to enhance the quality of life for residents and the Homeowners Association and establish adequate waste segregation practices that promote environmental cleanliness. The study utilizes quantitative and qualitative methods with a descriptive design to evaluate the waste segregation system in Alido Heights Subdivision, Bulihan, City of Malolos, Bulacan. The researchers designed a survey questionnaire with questions constructed and developed based on the issues identified by the residents. Simultaneously, interviews were conducted with an officer of the homeowners’ association to gather their knowledge and experiences. The results indicate that the respondents effectively manage household waste and segregation. Furthermore, the efficiency of the waste segregation system implemented by the subdivision reveals inadequacies in designated waste disposal equipment and the location of the dumping site, resulting in inefficient waste segregation within the subdivision. The improvement programs recommended by the subdivision’s residents include providing more garbage bins, allocating additional waste disposal sites, and implementing a campaign program to establish a more efficient segregation system among the residents in the area
A Comprehensive Review on Human Health, Promoting the Well-Being of Teaching Professionals
Full text linkThis article thoroughly examines recent research that sheds light on various aspects of human health, emphasizing the interconnectedness of physical, mental, and social well-being. The study explores significant factors that influence health, including genetics, lifestyle choices, environmental factors, and access to healthcare. It relies on current references to emphasize the current knowledge and ongoing research in these areas. Developing successful interventions and policies to promote optimal well-being requires a comprehensive understanding of these factors. The maintenance of overall health and the enhancement of various aspects of well-being are reliant upon regular engagement in a range of health-promoting activities. These activities include exercise, a well-balanced diet, sufficient rest, stress management, nurturing relationships, and ongoing education. A comprehensive understanding of the complex connections among lifestyle, genetics, social factors, and access to healthcare is essential for developing approaches to improve the health outcomes of diverse populations. Recent advancements in the research highlight the significance of adopting a comprehensive approach to health, in which various elements can interact and influence each other. Individuals can take control of their health by incorporating healthy habits into their daily routines and carefully considering the various factors affecting their well-being. This proactive approach can lead to positive changes that ripple effect on society
Analyzing and Predicting Land Use and Land Cover Changes with an Integrated CA-Markov Model: A Spatiotemporal Perspective in Case of Chuko Town and Surroundings, Sidama Region, Ethiopia
Full text linkLand use and land cover changes fundamentally shape global environmental and societal dynamics. The study uses an integrated CA-Markov Model to analyze and predict the land use and cover changes from 2003 to 2023 in Chuko Town and its surroundings. LULC maps were extracted from Landsat 5, Landsat 7, and Landsat 8 data and the CA-Markov model simulated the LULC for 2043. The findings reveal a significant expansion of the built-up area, increasing from 243.18 hectares in 2003 to 356.60 hectares in 2013 and further to 982.33 hectares by 2023. In contrast, the bare land decreased from 426.74 hectares in 2003 to 388.86 hectares in 2013 and 280.26 hectares in 2023. However, the vegetation category remained relatively stable, with areas of 2241.81 hectares, 2221.58 hectares, and 2085.53 hectares in 2003, 2013, and 2023, respectively. The validation model for 2023 showed an overall KIA value of 0.8, indicating reasonable prediction accuracy. Looking ahead to 2023-2043, the built-up area is projected to increase by 721.81 hectares, while the areas of bare land, agriculture, and vegetation are predicted to decrease by 182.03 hectares, 386.29 hectares, and 153.49 hectares, respectively. This projection suggests reducing vegetation, agriculture, and bare land areas by 2043. Thus, understanding historical and simulated LULC changes is invaluable for decision-makers and urban planners to formulate effective policies and strategies to address urban growth, make informed decisions, and promote sustainable city development
Analysis of Land Surface Temperature Distribution in Response to Land Use Land Cover Change in Agroforestry Dominated Area, Gedeo Zone, Southern Ethiopia
Full text linkThis study examined LST distribution in Ethiopia's agroforestry-dominated Gedeo Zone due to Land Use Land Cover change. For 2005, 2011, 2017, and 2022, 10 m Sentinel 2A and 30 m Landsat images were used to extract and map LST and LULC distribution. The DOS1 method corrected atmospheric errors in all satellite images. LULC change was detected using SVM image classification. The study result revealed that the Agroforestry and Built-up coverage has increased by 1520 sq. km and 2600 sq. km, respectively, from 2005 to 2022. The Bare Land and Farm Land coverage decreased by 1554 sq. km and 2565 sq. km, respectively, in the same period. The LST result has shown that there has been a remarkable variation in the spatial pattern of the LST between 2005 and 2022. The average LST in Agroforestry, Bare Land, Farm Land, and Built-up area has progressively increased over the years, from 19.6°C, 26.0°C, 20.2°C, and 25.58°C in 2005 to 25°C, 32.16°C, 28.23°C, and 30.62 °C in 2022, respectively. While in 2005, the maximum recorded LST did not exceed 37.3°C, by 2022, it had increased by close to 3°C, reaching 40.6°C. The overall result revealed that the average LST in °C has increased from 2005 to 2022. From the result, it was concluded that agroforestry had contributed a lot to LST distribution. LST may not depend on the local LULC change only; other factors like urbanization and global warming could play a significant role in changing LST locally and globally
Classification of Sentiment Analysis and Community Opinion Modeling Topics for Application of ICT in Government Operations
Full text linkUtilizing information systems is very useful in the current era. Digitizing administration in the Village is beneficial in the service process to the public. This is seen as a change in service that can make it easier or more difficult for the people of Sanrobone Village to take care of administration at the village office. This study aims to analyze public opinion regarding the use of e-government, predict public opinion regarding the use of e-government, and analyze modeling topics related to the use of e-government. This research applies a text mining algorithm with a sentiment analysis method to see positive, negative, and neutral public perceptions and also uses topic modeling to get the most frequently appearing topics in the data. Stages in this study include Data Collection, Text Pre-processing, Sentiment Analysis, Topic Modelling, Classification, and Evaluation. The results obtained are the ten words that appear most often in the responses of the Village community: easy 122, help 96, village 80, accessed 80, letter 80, permit 77, resident 73, manage 60, service 52, and the person with 52 words. The sentiment analysis is positive, with 411 opinions, 37 negative opinions, and 152 neutral opinions. Finally, the performance of the Nave Bayes algorithm in predicting classification results is excellent, with an accuracy rate of 98 percent