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Dynamics of surface water resource management towards fulfilling agricultural irrigation Inuwa Sani Sani; Taqyuddin; Aliyu Hassan Naabba
Applied Environmental Science Vol. 3 No. 2: (January) 2026
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/aes.v3i2.2026.2036

Background: The dynamics of surface water resources and their influence on agriculture irrigation in Kano State, Nigeria, 2015-2025, are displayed in this research. This study aims to examine the influence of surface water availability changes on irrigation potential in semi-arid catchment. With looming uncertainty concerning water scarcity, particularly in Northern Nigeria, spatial-temporal dynamics of the surface water are critical to sustainable agriculture planning. Current studies have used satellite-based indices to monitor changes in water bodies and emphasized that such changes must be associated with climatic factors and land use patterns for irrigation development decision-making. Methods: Remote sensing data, including Normalized Difference Water Index (NDWI) from Landsat and Sentinel data, and rainfall data from the CHIRPS dataset, were used for the study. Spatiotemporal modeling methodology was used that included NDWI trend analysis, NDWI–rainfall relation, overlay with cover of cultivated land, and zonal statistics at the Local Government Area (LGA) level. Findings: Findings show that there is general surface wetness expansion in the southern and central regions of Kano State owing to enhanced irrigation activities, heightened water holding capacity, and possible aquifer recharge. Conclusion: The study concludes that water resource management in Kano must be specially crafted to overcome localized climatic stress conditions and spatial hydrological imbalance to facilitate sustainable irrigation under semi-arid conditions.Ground-truth verification is however absent, which limits the accuracy of surface wetness estimates, and future incorporation of field-based hydrological observations is recommended. The findings present actionable advice for policymakers on improving irrigation strategy formulation and adaptive water management in semi-arid climates. Novelty/Originality of this article: This research integrates satellite-based NDWI for the first time with rain anomaly and land use overlays to determine water body dynamics and their agricultural implications at sub-regional scales.

Smart biogas: An independent energy system based on organic waste integrated with IoT Asminar; Abdul Djohar; Syahran Rifaldi; Rifki; Muhammad Adam Raswadi; Arya Sadewa
Applied Environmental Science Vol. 3 No. 2: (January) 2026
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/aes.v3i2.2026.2375

Background: Indonesia faces substantial challenges in waste management, as most organic waste remains untreated. A similar situation occurs in Kendari City, which generates approximately 253 tons of waste per day, the majority of which consists of organic materials. This condition reflects the untapped potential of renewable energy derived from organic waste, thereby necessitating the development of an effective system to address these issues comprehensively. Methods: This study employed a descriptive research method with a case study approach. The data analyzed encompassed the volume and composition of organic waste in Kendari City. The findings served as the foundation for designing a Smart Biogas system integrated with the Internet of Things (IoT). The system incorporates sensors to monitor temperature, pressure, and methane concentration in real time and is connected to an application that enables remote monitoring and control. Findings: The study revealed that the potential biogas production from organic waste in Kendari City could reach approximately 5,650 m³ per day. This volume demonstrates significant potential to meet a portion of the local energy demand. By adopting a communal-based system design, the utilization of biogas can be optimized, particularly to support energy needs at the sub-district level. Conclusion: The results indicate that the implementation of the Smart Biogas system can not only reduce the volume of organic waste but also provide a sustainable energy independence solution. Novelty/Originality of this article: The novelty of this research lies in the development of a Smart Biogas system integrated with IoT technology, specifically designed for communal-scale applications. The system enables real-time monitoring of the fermentation process through temperature, pressure, and methane sensors, with remote access facilitated by an integrated application. This approach ensures that organic waste is not only effectively managed but also converted into renewable energy, thereby supporting local energy independence.

Circular economy opportunities for inorganic waste management: An applied analysis based on recycling center data Agni Lili Ariyanti; Aisyah Fakhirah; Akbar Putra Alfareza; Arif Nur Surdianto; Feivie Wihdya Solikhah; Yulia Azizah Suleman; Gangsar Edi Laksono; Purwono
Applied Environmental Science Vol. 3 No. 2: (January) 2026
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/aes.v3i2.2026.2193

Background: Waste is no longer regarded solely as refuse but also as a potential resource in the circular economy, particularly through recycling center (hereinafter referred to as pusat daur ulang-PDU) mechanisms. This study aims to analyze the circular economic potential of inorganic solid waste based on actual selling price data from PDUs in Purbalingga, Central Java, Indonesia. Previous studies have highlighted the importance of waste separation and local PDUs in promoting community-based waste management, yet few have quantified the circular economic value of specific inorganic waste types. Methods: This research employs a descriptive quantitative approach using secondary data collected from government institutions and local PDUs. Analytical methods include compositional waste analysis and basic statistical comparisons (T-Test) across years and waste types (polyethylene terephthalate-PET, scrap papers, and cans). Findings: PET accounted for an average of 18.53% of total waste between 2021 and 2024, far higher than paper (8.96%) and cans (0.66%). Statistical analysis confirmed significant differences between PET and the other two types (p < 0.05, Cohen’s d > 3). Scenario modeling showed that if 14.8% of the population participated by contributing 3 kg of PET per household, approximately 460 tons/day could be recovered, generating meaningful household income and reducing landfill burden. Conclusion: The study concludes that supporting PDUs and encouraging less than 20% household participation in PET separation could substantially reduce waste volumes while strengthening household income streams. Novelty/Originality of this article: The integration of compositional waste data and local price structures provides a data-driven valuation of inorganic household waste, offering practical guidance for policy and local planning in sustainable circular economy strategies.

GEOMINING-ALERT: Smart monitoring of acid mine drainage based on colorimetric strip integrated mobile-app for participatory mapping towards SDGs 2030 Hizkil Achmad Dayan
Applied Environmental Science Vol. 3 No. 2: (January) 2026
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/aes.v3i2.2026.2374

Background: Acid Mine Drainage (AMD) remains one of the most severe and persistent environmental issues in post-mining landscapes, leading to acidic runoff and heavy-metal contamination that endanger aquatic ecosystems and human health. Previous studies highlight the limited accessibility of conventional monitoring tools due to their high cost and dependency on laboratory infrastructure. Therefore, this study aims to develop a participatory, low-cost monitoring framework called GEOMINING-ALERT, which integrates colorimetric strip technology and mobile-based applications for real-time AMD detection and reporting. Methods: This study employed a descriptive qualitative design-based research approach consisting of four stages: literature synthesis on AMD chemistry and participatory monitoring, prototype design of a colorimetric strip and mobile interface, integration of both components into a cloud-based dashboard, and comparative validation against existing monitoring frameworks. Data were obtained from peer-reviewed journals, technical reports, and secondary environmental databases, and analyzed using comparative synthesis to identify methodological and technological gaps. Findings: The GEOMINING-ALERT system demonstrated comparable precision to laboratory analyses, with less than 5% relative error and a 60% reduction in data reporting latency. The participatory framework increased community engagement, transparency, and environmental literacy while enhancing inter-institutional collaboration under the Penta-Helix model. Conclusion: GEOMINING-ALERT effectively bridges scientific monitoring and citizen participation, establishing a scalable early-warning system for AMD management. Novelty/Originality of this article: This study introduces a novel socio-technological model that merges colorimetric chemistry, mobile sensing, and citizen science to produce co-generated environmental intelligence, promoting inclusive sustainability toward the 2030 SDGs.

BLUEPOD: Multi-layer fiber biosorbent innovation for microplastics based on Aspergillus oryzae laccase enzyme combined with activated carbon Fajar Disfianto; Berlian Natasya; Siti Shofiah
Applied Environmental Science Vol. 3 No. 2: (January) 2026
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/aes.v3i2.2026.2425

Background: Microplastic pollution in coastal waters poses a serious threat to marine ecosystem sustainability and human health due to its persistence and widespread distribution. Since microplastics degrade very slowly under natural conditions, innovative and environmentally friendly mitigation strategies are urgently required. This study introduces BLUEPOD (Buoyant Layered Underwater Ecofilter Pod), an active biosorbent system designed as a floating module composed of a multilayer fibrous matrix integrated with laccase enzyme derived from Aspergillus oryzae and activated carbon. Methods: The activated carbon functions as a high-surface-area adsorbent for capturing microplastic particles, while the immobilized laccase promotes oxidative modification of polymer surfaces, enhancing degradation and reducing persistence. The performance of BLUEPOD was evaluated under controlled laboratory-scale experimental conditions, including static batch tests and continuous-flow tank experiments, using defined concentrations of synthetic microplastics (<5 mm). Removal efficiency was assessed over a 48-hour operational period. Findings: The results demonstrated that BLUEPOD achieved more than 80% microplastic removal efficiency, indicating a strong synergistic effect between adsorption and enzymatic oxidation mechanisms. These findings highlight the potential of BLUEPOD as a lab-scale validated biosorbent system with promising applicability for coastal water treatment, riverine environments, and aquaculture discharge management. Conclusion: With further optimization and field-scale validation, BLUEPOD may serve as a sustainable and scalable solution for mitigating microplastic pollution in Indonesia’s coastal regions and other similarly impacted marine environments. Novelty/Originality of this article: The novelty of this study lies in developing BLUEPOD, a floating multilayer fiber biosorbent integrating Aspergillus oryzae laccase and activated carbon, combining adsorption and enzymatic oxidation for effective microplastic removal.

Early swelling kinetics of chitosan hydrogels under different acidity conditions for designing controlled-release fertilizers Sinta Ramadhania Putri Maresi; Tri Sutanti Budikania; Kartini Afriani; Achmad Nandang Roziafanto; Ahmad Dzaky Mualim; Fareka Kholidanata
Applied Environmental Science Vol. 4 No. 1: (July) 2026
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/aes.v4i1.2026.3710

Background: Nutrient losses from conventional fertilization have increased the need for biodegradable hydrogel matrices that improve water retention and support controlled-release fertilizer (CRF) systems. This study investigated the effects of pH on the early-stage swelling kinetics of chitosan-based hydrogels, identified the most stable formulation, and examined the relationship between the degree of deacetylation (DD) and swelling performance. Methods: A quantitative experimental design was applied to four formulations, namely ChGu, ChG, ChPu, and ChP, under acidic, neutral, and alkaline conditions. Swelling was measured over 120 minutes with replicate measurements. The analysis included the swelling ratio (SR), maximum swelling ratio (Max SR), area under the curve (AUC), net swelling change (ΔSR), means, standard deviations, statistical comparisons, and regression analysis. Findings: pH markedly influenced the swelling behavior of all formulations. Neutral conditions produced the highest average SR values, with ChP showing the best performance (86.4), followed by ChG (67.6), ChGu (63.8), and ChPu (30.4). ChP also recorded the highest Max SR (124) and AUC (11,100), while ChG reached a Max SR of 110 and an AUC of 9,150. These findings indicate that both formulations had greater expansion capacity and more sustained swelling. In contrast, alkaline conditions caused deswelling in most samples, as indicated by negative SR values. The relationship between DD and swelling performance was weak (R² = 0.14), indicating that hydrogel structure, formulation composition, environmental pH, and early kinetic transitions were more influential than DD alone. Conclusion: Neutral pH provided the most favorable swelling conditions, and ChP demonstrated the strongest overall performance. Novelty/Originality of this article: This study proposes Max SR, AUC, ΔSR, and dynamic transition intervals as integrated early-stage indicators for screening biodegradable chitosan hydrogels for CRF applications.

Assessment of carbon storage and sequestration for mitigating climate change in urban forests Rosa Aprilia; Yuki M.A. Wardhana; Sri Setiawati Tumuyu
Applied Environmental Science Vol. 4 No. 1: (July) 2026
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/aes.v4i1.2026.3712

Background: Urban forests can contribute to climate change mitigation by lowering atmospheric carbon dioxide (CO₂) concentrations, thereby enhancing ecosystem resilience in urban areas. Quantifying the carbon storage and sequestration capacities of urban forests is crucial for assessing their actual and potential roles. Interest in carbon quantification is growing; however, empirical evidence from densely populated urban forests remains limited. This study presents a case study on the quantification of carbon storage and sequestration by the Kemayoran Urban Forest, an urban forest in the city center with high population density and environmental pressure. Methods: Quantitative methods were employed to estimate carbon storage and sequestration using a non-destructive method based on allometric equations. Data collection was conducted through direct field surveys with established plot samples. Findings: This study recorded 267 tree individuals, comprising 36 species across 32 genera and 19 families. The total carbon storage was 74.83 tons C ha⁻¹, with total carbon sequestration amounting to 274.62 tons CO₂ ha⁻¹. However, this carbon assessment was limited to above-ground biomass estimates and did not include below-ground carbon stocks. Conclusion: The results indicate that the Kemayoran Urban Forest has substantial carbon storage and sequestration capacity despite being managed in an urban setting characterized by high population density and environmental pressures. Novelty/Originality of this article: This study provides empirical evidence of the carbon storage and sequestration capacity of a densely populated urban forest using a standardized non-destructive allometric approach. The findings establish baseline carbon data that support urban forest management and climate change mitigation planning.

Greenhouse gas mitigation from polyethylene terephthalate waste recovery in an urban waste system Risanti Delphia; Dwi Nowo Martono; Haruki Agustina
Applied Environmental Science Vol. 4 No. 1: (July) 2026
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/aes.v4i1.2026.3746

Background: The waste management sector significantly contributes to greenhouse gas emissions, particularly through landfilling and open burning practices in developing countries. Polyethylene terephthalate (PET) plastic waste constitutes a substantial fraction of municipal solid waste and may generate considerable emissions when improperly managed. Previous studies have mainly employed life cycle assessment approaches, while facility-level inventory-based assessments remain limited. This study aims to quantify the greenhouse gas mitigation potential of a PET material recovery system using a location-specific inventory approach. Methods: An Intergovernmental Panel on Climate Change (IPCC) Tier 2 greenhouse gas inventory method was applied within a gate-to-gate system boundary covering collection and material recovery activities. Primary operational data were obtained from a PET material recovery facility in Depok City, Indonesia, with an annual processing capacity of 233,038 kg. Emissions from electricity consumption, transportation, and residual impurities were calculated and compared with a Business-as-Usual scenario consisting of landfilling and open burning. Findings: The material recovery system generated 39.29 t CO₂e/year, equivalent to 0.17 kg CO₂e/kg PET, while the Business-as-Usual scenario produced 363.54 t CO₂e/year or 1.56 kg CO₂e/kg PET, resulting in an emission reduction potential of 324.25 t CO₂e/year. These results indicate that PET material recovery systems generate substantially lower emissions than conventional disposal practices, supporting the role of circular waste management strategies in greenhouse gas mitigation. Conclusion: PET material recovery systems provide significant greenhouse gas mitigation benefits and represent an effective strategy for reducing emissions in the urban waste sector. Operational efficiency and impurity management were identified as important factors influencing emission reduction performance. Novelty/Originality of this article: This study provides a facility-level empirical greenhouse gas inventory using an IPCC Tier 2 approach, providing context-specific evidence beyond conventional life cycle assessment studies.

Seagrass community structure as an indicator of ecosystem response on Pramuka Island Aqilla Nur Fadia; Evi Frimawaty; Yuki Mahardhito Adhitya Wardhana
Applied Environmental Science Vol. 4 No. 1: (July) 2026
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/aes.v4i1.2026.3750

Background: Seagrass ecosystems are important blue carbon habitats but are increasingly threatened by anthropogenic activities. This study analyzed seagrass community structure and ecological responses across different levels of human pressure on Pramuka Island, Indonesia. Methods: A quantitative approach was employed using quadrat transects at 3 stations subjected to different pressure A quantitative field survey was conducted using quadrat transects at 3 stations. Seagrass species composition, cover, diversity, evenness, dominance, and Importance Value Index (IVI) were analyzed. Water quality was measured in situ, while carbon sequestration was estimated using literature-based coefficients. Findings: A total of 6 seagrass species were identified, with Thalassia hemprichii as the dominant species. Station 2 showed the highest dominance and lowest diversity, whereas Station 3 had the highest diversity despite the lowest seagrass cover. Overall seagrass cover remained below 30%, while estimated carbon sequestration ranged from 0.42 to 0.55 tons C ha⁻¹ year⁻¹. Similar water quality among stations suggests that differences in community structure were more strongly influenced by habitat characteristics and hydrodynamic conditions than by physicochemical factors. Conclusion: The findings indicate that seagrass community structure is a more sensitive indicator of ecosystem condition than seagrass cover alone. Integrating community structure with cover measurements can improve ecological assessments and support evidence-based management of seagrass ecosystems under varying anthropogenic pressures. Novelty/Originality of this article: This study demonstrates the value of biodiversity-based indicators alongside seagrass cover for assessing ecosystem condition and informing blue carbon and coastal conservation strategies.

Comparative analysis of seasonal air quality around an industrial area: A case study using air dispersion modelling and pollution index assessment Prestisia Intan Nurcahyani Kusumaningtyas; Wezia Berkademi; Haruki Agustina
Applied Environmental Science Vol. 4 No. 1: (July) 2026
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/aes.v4i1.2026.3811

Background: Manufacturing activities in industrial areas use thermal energy, electricity, and material processing that may generate combustion gases and particulate emissions to the surrounding environment. An integrated interpretation is needed because source-oriented dispersion modeling explains potential spatial exposure, while the Indonesian Air Pollutant Standard Index (ISPU) translates ambient concentrations into air quality categories relevant for regulatory control and environmental management. Methods: An original case study was developed for an industrial manufacturing facility in Banten, Indonesia. Secondary production data, ambient air monitoring data, and meteorological scenarios were combined with 24-hour American Meteorological Society and Environmental Protection Agency Regulatory Model (AERMOD) dispersion outputs for rainy and dry seasons. Carbon monoxide, nitrogen oxides, fine particulate matter, and sulfur dioxide were assessed, and ambient concentrations were converted into the Air Pollutant Standard Index according to Indonesian regulation. Findings: The dry season produced higher modeled concentrations for all pollutants. Carbon monoxide increased from 42.745 to 51.226 µg/m³, nitrogen oxides from 467.8 to 561 µg/m³, fine particulate matter from 274 to 329 µg/m³, and sulfur dioxide from 483.9 to 580 µg/m³. Integrated analysis of AERMOD and ISPU showed that, although carbon monoxide, nitrogen dioxide, and sulfur dioxide remained in the good category, fine particulate matter reached an ISPU value of 68.68 (moderate), identifying it as the priority pollutant because seasonal dispersion patterns were consistent with regulatory air quality classification. Conclusion: The integration of dispersion modelling and ISPU calculation identifies fine particulate matter as the main ambient air priority despite acceptable monitored concentrations. Novelty/Originality of this article: This study integrates seasonal AERMOD dispersion modelling with ISPU assessment to identify priority pollutants by combining spatial dispersion patterns with regulatory air quality classification.

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Abstract

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Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name Dwi Tamara

Contact Email admin@iasssf.com

Phone -

Journal Mail Official aes@journal-iasssf.com

Editorial Address Cluster Kukusan No 25 M, Jl. Rw. Pule I, Kukusan, Beji, Depok City, West Java 16425

Location Kota depok, Jawa barat INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
Dwi Tamara

Contact Email
admin@iasssf.com

Phone
-

Journal Mail Official
aes@journal-iasssf.com

Editorial Address
Cluster Kukusan No 25 M, Jl. Rw. Pule I, Kukusan, Beji, Depok City, West Java 16425

Location
Kota depok,

Jawa barat

INDONESIA