In the era of environmental crises and human challenges amidst rapid technological advancements, geography is an increasingly urgent discipline in comprehending the spatio-temporal dimensions of environmental sustainability. Therefore, effective, innovative, and collaborative implementation of geography learning in schools is essential. This goal can be achieved by emphasizing students’ critical thinking, problem-solving, and spatial thinking skills. The researcher designed an environmental problem-solving learning model to address this need. The environmental problem-solving learning model embraces problem-based learning focused on contextual environmental issues. This research aims to analyze the effectiveness of implementing the environmental problem-solving learning model with GIS-based learning media. The study employs an experimental design that utilizes a one-group pretest-posttest approach. The study group in this research was purposively selected, including 33 students from an urban area school, SMA Negeri 3 Semarang, and 35 students from a rural area school, SMA Negeri 1 Beringin. Data collection involved test methods, observations, and literature review. Qualitative data analysis was performed using an interactive method, while quantitative data analysis employed descriptive statistical analysis and a one-paired sample t-test. This research indicates that the environmental problem-solving learning model with GIS-based learning media effectively improves student learning outcomes. This model promotes active, student-centered learning, encourages collaboration and cooperation among students, and positions students as the primary subjects in the learning process. Furthermore, it fosters the development of critical thinking and problem-solving skills in students. The findings of this research underscore the potential of the environmental problem-solving learning model to be implemented in geography education. Various stakeholders play a crucial role as change agents in promoting innovative transformations in geography learning, including encouraging the realization of GIS-based environmental problem-solving models in various educational contexts.

The industrial sector often generates wastewaters contaminated with various pollutants, contingent upon the industry type such as textile, food, petroleum, tannery and others. These pollutants pose a real threat to public health and the environment, so their removal is necessary to minimize their harmful effects. Many treatment methods are used to remove these pollutants by physical, chemical and biological techniques. Among these methods, the membrane separation process is the most efficient and less cost This review addresses the types of industrial water treatment methods, membrane filtration systems, and how to overcome the challenges facing the membrane technology. The main disadvantage of membrane process, which cause a decrease in membrane performance and increase the maintenance cost, is fouling problems. Many strategies can be employed to minimize fouling, such as grafting polymers with hydrophilic additives, applying hydrophilic coatings, using negatively charged membranes to decrease the adsorption rate of organic matter and microbial attachment, or utilizing plasma treatment to enhance surface charge or hydrophobicity. The addition of hydrophilic additives is more effective than the other methods because of its flexibility and reliability.

The existence of community activities in an area and the management carried out can determine whether the resulting Forest Health Value is good or bad. This research aims to analyze the relationship between Forest Health Values and the management system implemented in the TAHURA WAR (Wan Abdul Rachman Forest Park) Utilization Block. The methods used include measuring forest health using the FHM method and conducting interviews using a Likert scale. Data analysis of the relationship between forest health and management systems is conducted using Rank Spearmen. The results showed that the overall forest health condition was moderate, with a relatively high level of farmers’ participation in its management was quite high, indicating effective management. The level of farmer participation at the implementation stage shows a significant relationship with forest health, as indicated by a coefficient of 0.049, while other stages such as planning (0.276), maintenance (0.379), utilization (0.485), and protection (0.307) show a lower relationship. Nevertheless, the value of 0.466 indicates a lack of a notable relationship between forest health and management effectiveness. One of the factors causing the insignificance is the internal factors of farmers, such as land ownership. Therefore, the relationship between forest health and the overall management system is not significant.

Producing clean water from sources unfit for use, both for drinking and bathing, washing and purifying purposes, requires efforts to treat the water to meet the quality standards set by the Government. One effective method is filtration, with the primary material being filter media. This research focuses on analyzing the mineral content of Nambo sand as a filter media to purify well water using microwave activation and the addition of Potassium Permanganate (KMnO₄). The objectives of this research are: (1) Analyze the mineral content, grain morphology and micropores of Nambo sand; (2) Optimizing the characteristics of Nambo sand through microwave activation; (3) Apply Nambo active sand to reduce iron and manganese levels in healthy water. The findings show that: (1) Nambo Sand has high potential as a source of silica sand because of its high Si and SiO₂ content; (2) Microwave activation to a maximum temperature of 400℃ increases the concentration of Si and SiO₂ reduces impurities and increases the number and area of pores on the sand surface, which is effective in reducing the levels of iron (Fe) and manganese (Mn); (3) The addition of 5% KMnO4 to sand activated by microwave at a maximum temperature of 400℃ reduces Fe and Mn levels in healthy water to the lowest level of 0.01 mg/L.

Macroinvertebrate metrics are excellent tools for assessing water quality due to the sensitivity of biotic and abiotic parameters of their environment. The work aimed to assess the water quality of the Vilcanota River using aquatic macroinvertebrates and biological indices: Andean Biotic Index (ABI), Biological Monitoring Working Party (BMWP) score, and Ephemeroptera, Plecoptera, and Trichoptera (EPT) index. Macroinvertebrates were sampled at four sampling points (P1, P2, P3, and P4) during dry and wet seasons using Surber traps along a 600 m linear transect. In total, 1631 specimens belonging to 04 classes, 11 orders, and 24 families were found. The class Insecta presented the highest values with 1078 specimens (66.1%), six orders (54.5%), and 19 families (79.2%). The evaluation of the water quality of the Vilcanota River showed that the points during the wet season have questionable water quality for the BMWP and ABI indices. In the dry season, most sampling points (except P1, classified as questionable) showed critical water quality in both the BMWP and ABI index. Similarly, the ETP index revealed regular water quality in the wet season, while in the dry season was bad water quality for most sampling (except P2) points.

Sustainable village development in West Sumatra Province has not been implemented optimally, so that many people are still below the poverty line. This can be seen from the Village Development Index for West Sumatra Province, where many villages are still very underdeveloped and disadvantaged. This study aims to analyze the influence of Village development characteristics in the perspective of sustainable development in West Sumatra Province. This research is a quantitative causal research. The population in this study was 846 villages in West Sumatra Province. Samples were taken using multistage sampling techniques with a total of 272 villages. Data was collected using a questionnaire. The data analysis applied was multiple regression. This study found that Institutional influence on sustainable village development (0.183); education level influences sustainable village development (0.777); community participation has an impact on sustainable village development (0.110); utilization of natural resources has an impact on sustainable village development (0.281) and poverty affects sustainable village development (-0.025).

In recent decades, the number of scientific publications on natural food consumption has increased significantly, and part of this work addressed the phenomenon of customer resistance to natural foods. Despite these studies having broad implications for understanding the mechanisms of barriers to natural food consumption, they have produced fragmented streams of knowledge. Therefore, this paper seeks to conduct a comprehensive review by using a bibliometric analysis approach to assess the historical development and design future agenda for upcoming research in this field. Consequently, 155 Scopus publications from 1989 to 2023 were included based on the inclusion criteria. Furthermore, the analysis tools (e.g., VOSviewer and Harzing’s Publish or Perish apps) are used in analysis phase to visualize the conceptual framework of the study. The findings unveil the publications’ production related to the impact of consumption barriers in the natural food context is still in its early stages. In addition, the main gaps (i.e., number of publications, research design, and contextual gaps) in the published literature are identified. The findings offer several meaningful insights for scholars and marketers in the natural food setting.

For quite some time, Universitas Negeri Malang (UM) has paid much attention to waste management due to the rapidly increasing waste generated by campus activities, including from the offices, classes, canteens, and major events held by the university. The waste has caused issues related to environmental cleanliness and aesthetics. This research aims to 1) understand plastic waste management on the UM campus using the 4R pattern: reduce, reuse, recycle, and replace; 2) understand efforts to optimize plastic waste management on the campus through Extended Producer Responsibility (EPR); and 3) implement the OBE model with the 4R EPR pattern at UM to support the green campus initiative. This research used a mixed-method approach, combining quantitative and qualitative descriptive methods. Data were collected through observation, interviews, documentation, and actions related to plastic waste management on the UM campus. Results show that plastic waste management on the UM campus, using the 4R (reduce, reuse, recycle, and replace) pattern, has been conducted in collaboration with leaders, lecturers, groundskeepers, and students. Efforts to optimize plastic waste management through Extended Producer Responsibility (EPR) were carried out in partnership with the Malang City Waste Bank and PT Zerolim, two parties that strictly sorted waste according to type so that the waste sold could get a high price. Implementing the OBE model with the 4R EPR pattern at UM was carried out to support a Green Campus to show UM’s support for environmental sustainability. In the future, UM students can play a more active role in reducing plastic waste, such as recycling, producing creative goods from plastic waste, or developing more efficient plastic waste processing technology to support the Green Campus.

Forests play a pivotal role in environmental conservation, necessitating effective management strategies to ensure sustainability. This research aims to evaluate the potential implementation of forest endowments (waqf) through a strengths, weaknesses, opportunities, and threats (SWOT) analysis. The study employs two methodologies: a comprehensive SWOT analysis to examine internal and external factors and the Internal Factor Evaluation (IFE) and External Factor Evaluation (EFE) methods within the SWOT matrix framework. Data were gathered via questionnaires distributed to representatives of environmental care communities. The findings indicate that internal factors, particularly potential strengths, support the implementation of waqf forests. Internal and external factors contribute to these strengths, enhancing the potential for successful implementation. Weaknesses can be mitigated by leveraging existing strengths. External factors are categorized into opportunities, which can promote the development of waqf forest strategies, and threats, which necessitate strategic interventions. The analysis reveals that the strength factor scores higher overall than the weakness factor, suggesting a promising outlook for successful implementation. These research findings contribute to a deeper understanding of waqf forest implementation by thoroughly analyzing the relevant internal and external factors. The identified strengths, weaknesses, opportunities, and threats provide valuable guidance for stakeholders aiming to optimize the use of waqf forests for environmental conservation and sustainable management.

The growing concern about air pollution, driven by its severe impact on public health and the environment, has emphasized the need for comprehensive studies on its distribution. This study addresses the spatial location of atmospheric pollutants in Lima, Peru, with the objective of identifying patterns and areas of concentration. Advanced geospatial analysis techniques such as Stirling and Kriging algorithms were used, developing the study in five phases: data acquisition with quality control from National Service of Meteorology and Hydrology of Peru (SENAMHI), analysis of topographic and climatic parameters, interpolation of contaminant concentrations up to ten thousand meters of altitude, geospatial interpolation with Kriging, and creation and validation of the contaminant dispersion model. The results reveal that accurate and reliable data acquisition allowed measurement of key pollutants such as PM10, PM2.5, SO₂, NO₂, CO and O₃. The integration of topographic and climatic data was crucial to model the dispersion of contaminants. Vertical interpolation with Stirling showed a reduction in concentrations with altitude, while interpolation with Kriging provided accurate estimates at unsampled locations. The dispersion model developed demonstrated high precision, identifying priority areas for environmental management. In conclusion, the combination of advanced monitoring and geospatial modeling techniques provides a comprehensive understanding of pollutant distribution patterns in Lima, laying a solid foundation for effective mitigation measures and environmental policies, improving air quality and protecting public health.

East Rembang is an area in the Rembang district prone to disasters. Various disaster management efforts have been carried out, but disaster risk measurement at the village level has yet to be done. Therefore, this research was carried out to know hazards, vulnerability, and coping capacity so that disaster risk in East Rembang can be analyzed. This research was carried out to know hazards, vulnerability, and coping capacity so that disaster risk in East Rembang can be analyzed. The research was conducted in East Rembang, consisting of three sub-districts, namely Kragan, Sarang, and Sluke, with 27, 23, and 14 villages, respectively. This research uses mixed methods, including literature study, interviews, and observation techniques. The research results show that the disaster threat and vulnerability of villages in East Rembang based on 2020-2022 data is, on average, low, although several villages have high threat and vulnerability. This is due to the relatively high capacity of the community, which supports low disaster risks. In general, it can be seen that the average level of disaster risk in East Rembang is “Very High”. Even so, the community's capacity to face disasters could be higher.

Dry forests are ecosystems of great importance worldwide, but in recent decades they have been affected by climate change and changes in land use. In this study, we evaluated land use and land cover changes (LULC) in dry forests in Peru between 2017 and 2021 using Sentinel-2 images, and cloud processing with Machine Learning (ML) models. The results reported a mapping with accuracies above 85% with an increase in bare soil, urban areas and open dry forest, and reduction in the area of crops and dense dry forest. Protected natural areas lost 2.47% of their conserved surface area and the areas with the greatest degree of land use impact are located in the center and north of the study area. The study provides information that can help in the management of dry forests in northern Peru.

This study uses the Theory of Planned Behavior to examine how saltwater intrusion information affects dry season migratory intentions in impacted areas. The study collected data from coastal communities in Ca Mau, Bac Lieu, Soc Trang, and Ben Tre using online and in-person questionnaires. The data that was gathered was then evaluated using Partial Least Square – structural equation modeling. The findings indicate that individual attitudes toward saltwater intrusion play a significant role in shaping their perception of its impact. Notably, there is a willingness to adapt. Although subjective norms are not yet clearly expressed, this factor influences salinity intrusion awareness, meaning that people actively monitor and apply adaptive solutions to respond to environmental changes. Moreover, perceived behavioral control directly influences migration intentions, suggesting that enhanced resilience and coping strategies could mitigate migration pressures. Government policies and infrastructure play a crucial moderating role by providing essential support and adaptations, which influence residents’ responses to environmental challenges. This study underscores the need for targeted governmental and community-focused interventions to enhance resilience and reduce migration driven by environmental stressors in the Mekong Delta, contributing to the broader discourse on climate change adaptation and community resilience.

The pollution of water bodies by microplastic (MP) particles is a significant concern that has drawn the attention of environmental health organizations from various regions of the world. This concern is primarily caused by the potential of particles from the incomplete degradation of plastic waste to enter the food chain via water sources or fish consumed by humans. In Indonesia, the Krueng Aceh River is a water body that stretches across the Aceh Besar Regency and the Municipality of Banda Aceh (Indonesia). The river serves as a raw water source for clean water treatment for residents of both regions. The discovery of MP pollution in rivers in various regions of Indonesia as well as other countries has raised concerns regarding the presence of pollutants in the Krueng Aceh River. Therefore, this study identified MP particle pollution in the Krueng Aceh River water and assessed potential separation using ultrafiltration technology based on Polyethersulfone-graphene oxide membrane. Water samples were collected at five points along the river’s flow through the Aceh Besar area and Banda Aceh City. A total of 2 types of flat sheet membranes were created with a composition of Polyethersulfone polymer and graphene oxide in dimethylformamide. The ultrafiltration module was designed using cross-flow filtration with the feed of five samples of Krueng Aceh River water. Analysis was then conducted on the quantity, shape, and type of MP particles in water samples before and after ultrafiltration. The results showed that all water samples contained MP particles at a concentration of 18-22 particles/mL. This indicates that the Krueng Aceh River was already contaminated with MP pollutants. Therefore, special treatment efforts were needed by the government before it could be used as a source for the production of clean water for the residents of Banda Aceh City and Aceh Besar Regency. Based on these findings, the proposed alternative filtration technique can effectively remove pollutants by up to 91%.

The constitution of South Africa states that local government must provide waste management services which includes waste removal, storage and disposal, but local municipalities with combination of urban and rural areas often struggle to find the balance in providing services to both areas. Solid waste collection services are consistent in urban areas than in rural areas. Therefore, this study sought to compare MSWM in gaMothapo and Seshego in PLB, Limpopo, South Africa. To achieve the aim and objectives of this study, mixed method research approach was applied. The approach was in a form of qualitative and quantitative methods which were applied concurrently. Study participants were selected using non-probability convenience sampling for gaMothapo and Seshego households and non-probability purposive sampling for municipal workers. The comparison was based on household demographics, household waste management choices and MSWM services. Structured questionnaires were utilized to arrive at a detailed understanding of how the community of gaMothapo and Seshego manage their solid waste. Semi-structured interviews were utilised to understand how municipality manage solid waste in gaMothapo as compared to Seshego and observations at the collection points were also used to gather more information on solid waste management. This study found that PLB uses different methods to manage waste in gaMothapo and Seshego. The households in Seshego rely mostly on weekly door to door solid waste collection by municipality. The households pay for the waste collection services monthly through rates which are added to the household's municipal bill and are payable to the individual municipal account. Households in gaMothapo are provided with weekly nodal waste collection services for free. Shortage of resources and infrastructure together with lack of community awareness in both areas were found to hinder an effective solid waste management by PLB. The study also determined that PLB prioritise the provision of better waste removal services than waste minimisation through community awareness, recycling and material recovery. This study recommends that waste management awareness in both study areas should be conducted regularly.

The primary objective of the research is to ascertain the degree to which infrastructure affects environmental quality. The investigation employed a quantitative methodology, utilizing secondary data along with panel data derived from 34 provinces in Indonesia spanning the years 2015 to 2019. The panel data regression analysis was executed utilizing the standard effect model in Statistical Package for the Social Sciences (SPSS), followed by the application of Moderate Regression Analysis (MRA). The findings of the research indicated the following: first, the results elucidated that infrastructure exerts a significant positive influence on environmental quality. Second, investments were found to have a substantial adverse effect on environmental quality. Third, the agricultural sector was shown to impose a significant negative impact on environmental quality as a consequence of infrastructure. Fourth, the trade sector demonstrates a beneficial and substantial moderating effect on the relationship between infrastructure and environmental quality. Fifth, the industrial sector exhibits a favorable and considerable moderating influence on the interplay between infrastructure and environmental quality. Sixth, the agricultural sector does not constrain the effect of investment on environmental quality. Seventh, the trade sector moderates the negative and significant influence of investment on environmental quality. Eighth, the industrial sector moderates the negative and substantial effect of investment on environmental quality.

Wetlands are sites of great ecological and economic importance. However, in Panama, studies that focus on evaluating the health of these ecosystems that constantly face anthropogenic effects are not common. In this work, an analysis of the water quality of farms located in what were coastal wetlands has been carried out, to measure the level of impact and change produced by the anthropological activities carried out and to be carried out in the area of study, located on the coast of Tonosí, Los Santos. For this, the NSF quality index methodology has been used, using variables obtained from 7 sampling plots each with varying numbers of subplots. Within these influences, a variety of emerging contaminants were observed, the greatest variety of these found in plot 2 in particular. The results point to undeniable contamination of the site based on agricultural and livestock activities as the main culprits.

This study examines the effect of energy consumption on current account balance of 15 Asian countries. The analysis in this study was carried out using panel data with the simultaneous equation method. Research data from 1998-2022 in 15 Asian countries (Bangladesh, China, India, India, Japan, Jordan, Korea Republic, Kuwait, Kyrgyz Republic, Malaysia, Oman, Saudi Arabia, Singapore, Thailand and Vietnam) are sourced from the World Development Indicator, World Bank. The simultaneous equation method was chosen to provide more comprehensive results in conducting complete research and interpretation. The results of the study indicate that fossil fuels, gross domestic product (GDP) per capita and population have a significant effect, while the current account balance, access to electricity and broad money do not have a significant effect on energy consumption. Energy consumption and net exports have a significant effect, while the exchange rate and foreign direct investment do not significantly impact the current account balance. These findings have important implications for policy makers in Asian countries policies that encourage energy efficiency and diversification of domestic energy sources. More proactive policies in the development of renewable energy can not only reduce the current account balances deficit but also national energy security.

Bentonite is a readily available natural clay that can be modified using simple and inexpensive procedures, making it a cost-effective option for removing various organic and inorganic contaminants. In this study, the raw bentonite (RB) is modified using acid and heat treatments. The physiochemical modification of bentonite (MB) was analyzed using the Buranner-Emmett-Teller (BET) technique to determine its surface area, and Fourier transformation infrared spectroscopy (FTIR) was used for further characterization. Post modification, bentonite has a better surface area from 35.15 m2/g for RB to 102.6 m2/g. The porosity of MB has also increased, offering more adsorption sites and overall enhanced surface properties. Fixed bed columns filled with MB and a mixture of MB and sand (MB+S) were used to investigate MB secondary wastewater purification capacity. Filtration was completed at a flow rate of 1 mL/min (a flow velocity of 3.1 cm/h) onto MB and MB+S mixture, respectively. The results show that the maximum removal efficiency for total suspended solids (TSS), turbidity, phenol (pH), chromium Cr⁶⁺, COD (Chemical Oxygen Demand), BOD5, total coliform (TC), fecal coliforms (FC), and electrical conductivity (EC) onto MB are 100, 100, 93.67, 90.43, 93.75, 97.78, 100, 100, and 30% respectively. The efficiency for these parameters is slightly reduced in modified bentonite (MB) and sand mixtures.

The establishment of a green campus relies on the adoption of green building, which involves reducing energy consumption, conserving water, managing waste effectively, and protecting natural resources. Numerous educational institutions in South Jakarta exceed 30 years of age. One such example is the Faculty of Engineering Building at Universitas Pancasila (Fakultas Teknik Universitas Pancasila/FTUP). FTUP has made an effort to implement green building practices to support the development of a green campus. The purpose of this research is to assess the implementation of green building at FTUP and to identify the barriers to its implementation. The assessment of green building implementation is carried out through a combination of interviews, observations, and archival analysis. Questionnaires were distributed to building managers and academic representatives at FTUP to identify the barriers to green building implementation. The data obtained was then analyzed using the RII (Relative Importance Index). The finding showed that the green building implementation at FTUP is low (32%), with the absence of a strategic plan as the main barrier. The results indicate that the identified barriers are not due to a lack of information or high costs.