Tropical Aquatic and Soil Pollution
https://tecnoscientifica.com/journal/tasp
<p><strong><em>Tropical Aquatic and Soil Pollution (Trop. Aquat. Soil Pollut.) (ISSN 2798-3056) </em></strong><strong> </strong>with a short form of <strong>TASP </strong>is an<strong> Open Access Refereed Journal </strong>that publishes <strong>research articles, reviews, and short communication </strong>on theoretical and applied sciences related to aquatic and soil, all aspects of pollution and solution to pollution in the biosphere.</p> <p><strong>TASP </strong>is published online with a frequency of two (2) issues per year in <strong>July and December </strong>with <strong>FREE </strong>of Article Processing Charge (APCs) and Articles Submission Charges (ASCs). Besides that, special issues of TASP will be published non-periodically from time to time. </p>Tecno Scientifica Publishingen-USTropical Aquatic and Soil Pollution2798-3056<p>Authors shall retain the copyright of their work and grant the Journal/Publisher rights for the first publication with the work concurrently licensed under the <a href="https://creativecommons.org/licenses/by/4.0/"><strong>Creative Commons Attribution 4.0 International License (CC BY 4.0)</strong></a>.</p> <p>Under this license, authors who submit their papers for publication by <em>Tropical Aquatic and Soil Pollution</em> agree to have the CC BY 4.0 license applied to their work, and that anyone is allowed to reuse the article or part of it free of charge for any purpose, including commercial use. As long as the author and original source is properly cited, anyone may copy, redistribute, reuse and transform the content.</p> <p>This broad license intends to facilitate free access, as well as the unrestricted use of original works of all types. This ensures that the published work is freely and openly available in perpetuity.</p>Land Degradation Detection in Urban Areas Using Spatial Modelling and Semi-Automatic Classification of Satellite Imagery Data
https://tecnoscientifica.com/journal/tasp/article/view/775
<p>Urban land degradation poses a growing challenge in rapidly developing countries like Indonesia, where population growth and limited space drive uncontrolled land cover changes. This study aims to detect land degradation in urban areas through spatial modelling and semi-automatic classification of multi-temporal remote sensing imagery. Landsat-5 Thematic Mapper (TM) image from year 2011 and Landsat-9 Operational Land Imager collection 2 (OLI-2) image from year 2023 data were acquired from the The United States Geological Survey (USGS). Image pre-processing included band stacking, subsetting, and enhancement to improve visual interpretation. Semi-automatic supervised classification was applied to map seven land cover classes: agricultural dry land, rice field, forest, plantation, non-agricultural land, water body, and settlement. Training data and validation were supported by Google Earth Pro, official sources, and field surveys using random sampling. Change detection analysis revealed a 1664.65 ha increase in industrial areas, accompanied by significant reductions in rice fields (−1726.92 ha) and dry farmland (−1644.57 ha). The classification accuracy reached 80.24% and 75.11%, with kappa coefficients of 0.76 and 0.65, respectively. Results indicate that urban expansion is a key driver of land degradation, particularly through the loss of productive agricultural land. This research demonstrates the effectiveness of remote sensing-based spatial modelling and classification techniques for monitoring urban land degradation and informing sustainable land use planning.</p>Riska Ayu PurnamasariMarwan SetiawanWardah Wardah
Copyright (c) 2025 Riska Ayu Purnamasari, Marwan Setiawan, Wardah Wardah
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2025-08-292025-08-295211012410.53623/tasp.v5i2.775Microalgae for Palm Oil Mill Effluent (POME) Remediation: Future Trends
https://tecnoscientifica.com/journal/tasp/article/view/814
<p>Microalgae-based remediation of palm oil mill effluent (POME) grew rapidly, yet evidence remained dispersed across methods and outcomes. This study undertook bibliometric mapping to organise research growth, thematic structure, and actionable pathways aligned with SDGs 6, 7, 12, and 14. A Scopus database of 124 articles (2008–2025) was analysed with VOSviewer to produce keyword co-occurrence and temporal overlays, complemented by impact indicators and close reading of highly cited studies. Output increased from a formative phase to a peak in 2021, with 3275 citations overall and influence that was concentrated yet broad (h = 35; g = 51; m = 1.944). The network resolved into a central focal point (POME, microalgae, effluent/wastewater), surrounded by two related fields: pollutant metrics (COD, nitrogen, phosphorus), which supported treatment claims, and valorisation (biomass, lipid, biofuel), which linked remediation to product streams. Temporal overlays showed a progression from feasibility and nutrient polishing to method-rich optimisation (kinetics, immobilisation) and, more recently, to cultivation realism, phycoremediation, and sustainability. These patterns indicated practical levers for mill-scale deployment, including on-site cultivation with boiler CO₂, microalgae–bacteria partnerships for robustness, and combined pond–photobioreactor systems that balanced cost and control. Together, these combinations delivered cleaner effluents (SDG 6), low-carbon energy vectors (SDG 7), circular nutrient and residue reuse (SDG 12), and reduced land-based marine pollution (SDG 14). Remaining priorities included harmonised reporting of removals and yields, techno-economic and life cycle assessments at mill cluster scale, resilient process control and safety for multi-stage systems, and biomass quality assurance to safeguard downstream uses.</p>Nurlydia Mohd AzmilAli YuzirShaza Eva MohamadNorhayati AbdullahMostafa El Sheekh
Copyright (c) 2025 Nurlydia Mohd Azmil, Ali Yuzir, Shaza Eva Mohamad, Norhayati Abdullah, Mostafa El Sheekh
https://creativecommons.org/licenses/by/4.0
2025-10-262025-10-265212513910.53623/tasp.v5i2.814Microbial Strategies for the Degradation of Organophosphates: A Sustainable Approach to Pollution Control
https://tecnoscientifica.com/journal/tasp/article/view/807
<p>Organophosphates (OPs) were synthetic chemical compounds that had been applied in household products as well as in agricultural and industrial sectors. Although OPs had proven effective, particularly as pesticide ingredients, their persistence in the environment had raised concerns regarding impacts on ecosystems, the environment, and human health. This study addressed the occurrences and negative impacts of OPs, with a primary focus on microbial degradation as a bioremediation strategy. While various degradation methods had been developed, microbial degradation showed strong potential as a sustainable and cost-effective approach. This review aimed to examine the mechanisms, benefits, and limitations of microbial degradation of OPs, thereby addressing the knowledge gap related to its real-world applications. Microbial degradation involved the use of bacteria capable of breaking down OPs through enzyme production, transforming them into less harmful substances. In comparison with chemical or physical methods, microbial degradation was more environmentally friendly, cost-effective, and adaptable to surrounding conditions. By synthesizing findings from previous studies, the report highlighted both the strengths and shortcomings of microbial degradation in mitigating OPs contamination. The findings underscored its promise as a viable solution, while also pointing to the need for further research and improved frameworks.</p>Denny Noriel SantiagoRose Ann MendozaNguyen Thi Thanh ThaoRisky Ayu Kristanti
Copyright (c) 2025 Denny Noriel Santiago, Rose Ann Mendoza, Nguyen Thi Thanh Thao, Risky Ayu Kristanti
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2025-10-312025-10-315214015410.53623/tasp.v5i2.807