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  • Open Access

    ARTICLE

    IoT-Driven Pollution Detection System for Indoor and Outdoor Environments

    Fatima Khan1, Amna Khan1, Tariq Ali2, Tariq Shahzad3, Tehseen Mazhar4,*, Sunawar Khan5, Muhammad Adnan Khan6,*, Habib Hamam7,8,9,10

    CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-27, 2026, DOI:10.32604/cmc.2025.068228 - 09 December 2025

    Abstract The rise in noise and air pollution poses severe risks to human health and the environment. Industrial and vehicular emissions release harmful pollutants such as CO2, SO2, CO, CH4, and noise, leading to significant environmental degradation. Monitoring and analyzing pollutant concentrations in real-time is crucial for mitigating these risks. However, existing systems often lack the capacity to monitor both indoor and outdoor environments effectively.This study presents a low-cost, IoT-based pollution detection system that integrates gas sensors (MQ-135 and MQ-4), a noise sensor (LM393), and a humidity sensor (DHT-22), all connected to a Node MCU (ESP8266) microcontroller. The… More >

  • Open Access

    ARTICLE

    AI for Cleaner Air: Predictive Modeling of PM2.5 Using Deep Learning and Traditional Time-Series Approaches

    Muhammad Salman Qamar1,2,*, Muhammad Fahad Munir2, Athar Waseem2

    CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.3, pp. 3557-3584, 2025, DOI:10.32604/cmes.2025.067447 - 30 September 2025

    Abstract Air pollution, specifically fine particulate matter (PM2.5), represents a critical environmental and public health concern due to its adverse effects on respiratory and cardiovascular systems. Accurate forecasting of PM2.5 concentrations is essential for mitigating health risks; however, the inherent nonlinearity and dynamic variability of air quality data present significant challenges. This study conducts a systematic evaluation of deep learning algorithms including Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM), and the hybrid CNN-LSTM as well as statistical models, AutoRegressive Integrated Moving Average (ARIMA) and Maximum Likelihood Estimation (MLE) for hourly PM2.5 forecasting. Model performance is… More >

  • Open Access

    ARTICLE

    Citric Acid Optimizes Lead (Pb) Phytoextraction in Mung Bean (Vigna radiata (L.) Wilczek) by Regulating Nutrient Uptake and Photosynthesis

    Hafiza Saima Gul1,2,*, Mumtaz Hussain1, Tayyaba Sanaullah3, Habib-ur-Rehman Athar2, Ibrahim Al-Ashkar4, Muhammad Kamran5, Mohammed Antar6, Ayman El Sabagh7,*

    Phyton-International Journal of Experimental Botany, Vol.94, No.9, pp. 2893-2909, 2025, DOI:10.32604/phyton.2025.058816 - 30 September 2025

    Abstract The low efficiency of phytoextraction of lead (Pb) from agricultural fields poses a significant agricultural challenge. Organic chelating agents can influence Pb bioavailability in soil, affecting its uptake, transport, and toxicity in plants. This study aimed to assess the impact of citric acid (CA) and diethylenetriaminepentaacetic acid (DTPA) on chelate-assisted phytoextraction of Pb and its effect on growth and physiology of two cultivars (07001; 07002) of mung bean (Vigna radiata). The cultivars of mung bean were exposed to 60 mg·L−1 lead chloride (PbCl2) solution, with or without the addition of 300 mg·L−1 CA or 500 mg·L−1 DTPA, until… More >

  • Open Access

    ARTICLE

    Spatiotemporal Variability of Atmospheric Pollutants in Syria: A Multi-Year Assessment Using Sentinel-5P Data

    Almustafa Abd Elkader Ayek1, Bilel Zerouali2,*, Ankur Srivastava3, Mohannad Ali Loho4,5, Nadjem Bailek6,7, Celso Augusto Guimarães Santos8,9

    Revue Internationale de Géomatique, Vol.34, pp. 669-689, 2025, DOI:10.32604/rig.2025.067137 - 19 August 2025

    Abstract This study investigates the spatial and temporal dynamics of key air pollutants—nitrogen dioxide (NO2), carbon monoxide (CO), methane (CH4), formaldehyde (HCHO), and the ultraviolet aerosol index (UVAI)—over the period 2019–2024. Utilizing high-resolution remote sensing data from the Sentinel-5 Precursor satellite and its TROPOspheric Monitoring Instrument (TROPOMI) processed via Google Earth Engine (GEE), pollutant concentrations were analyzed, with spatial visualizations produced using ArcGIS Pro. The results reveal that urban and industrial hotspots—notably in Damascus, Aleppo, Homs, and Hama—exhibit elevated NO2 and CO levels, strongly correlated with population density, traffic, and industrial emissions. Temporal trends indicate significant pollutant fluctuations More > Graphic Abstract

    Spatiotemporal Variability of Atmospheric Pollutants in Syria: A Multi-Year Assessment Using Sentinel-5P Data

  • Open Access

    ARTICLE

    Spatial-Temporal Variations of Nitrogen and Phosphorus Applications and Runoff Losses in Vegetable Field in Southern China during Last Three Decades

    Yuhe Wang1,2, Haijun Sun3, Yaqiong Hao2,4, Xiancan Zhu1, Ju Min2,*

    Phyton-International Journal of Experimental Botany, Vol.94, No.6, pp. 1735-1750, 2025, DOI:10.32604/phyton.2025.063868 - 27 June 2025

    Abstract Over the past three decades, the expansion of intensive vegetable farming in southern China has led to excessive nitrogen (N) and phosphorus (P) fertilizer application, causing substantial N and P runoff losses. This study investigated four major vegetable production regions in southern China—the upper reaches of the Yangtze River (U-YR), the middle lower reaches of the Yangtze River (ML-YR), the Southeast Coast (SC), and the Pearl River basin (PR)—analyzing 175 published articles to characterize spatiotemporal patterns of N and P fertilizer applications and associated runoff losses from 1992 to 2021. The result showed that the… More >

  • Open Access

    ARTICLE

    Public Health Implications of Road Construction and Traffic Congestion in a Hydrocarbon-Polluted Environment: An Assessment of Air and Noise Pollution

    Idongesit Sunday Ambrose1, Sunday Edet Etuk2, Okechukwu Ebuka Agbasi3,*, Ijah Ioryue Silas4, Unyime Udoette Saturday5, Eyo Edet Orok6

    Revue Internationale de Géomatique, Vol.34, pp. 335-350, 2025, DOI:10.32604/rig.2025.064552 - 13 June 2025

    Abstract Road construction and traffic congestion are increasingly recognized as major contributors to environmental and public health challenges in urban Nigeria, particularly in Rivers State. Despite growing urbanization, a gap remains in localized data on the combined effects of air and noise pollution in hydrocarbon-polluted environments. This study addresses that gap by conducting a preliminary environmental health assessment focused on the Port Harcourt Ring Road project. Air quality and noise levels were monitored in situ at 20 strategically selected locations, with five control points included for baseline comparison. Digital portable meters were used to measure concentrations of… More >

  • Open Access

    REVIEW

    Reviving Contaminated Soils: Microbe-Aided Phytoremediation for Sustainable Metal Pollution Cleanup

    Chengyi Zou1, Sara Zafar2,*, Umbreen Bibi2, Manzar Abbas3, Zuhair Hasnain4,*

    Phyton-International Journal of Experimental Botany, Vol.94, No.3, pp. 603-621, 2025, DOI:10.32604/phyton.2025.062560 - 31 March 2025

    Abstract Soil metal pollution is a global issue due to its toxic nature affecting ecosystems and human health. This has become a concern since metals are non-biodegradable and toxic. Most of the reclamation methods currently used for soils rely on the use of physical and chemical means, which tend to be very expensive and result in secondary environmental damage. However, microbe-aided phytoremediation is gaining attention as it is an eco-friendly, affordable, and technically advanced method to restore the ecosystem. It is essential to understand the complex interaction between plants and microbes. The primary function of plant… More > Graphic Abstract

    Reviving Contaminated Soils: Microbe-Aided Phytoremediation for Sustainable Metal Pollution Cleanup

  • Open Access

    ARTICLE

    Nitrogen/Phosphorus Ratio Affected the Growth of an Invasive Plant Alternanthera philoxeroides under Cadmium Stress

    Rui Zhang1, Le Ren1, Zhihang Liu1, Xinyue Gu1, Shanshan Du1, Xiao Chen1, Bingran Xi1, Bingnan Zhao1,2, Chao Si1,*

    Phyton-International Journal of Experimental Botany, Vol.94, No.3, pp. 709-721, 2025, DOI:10.32604/phyton.2025.062281 - 31 March 2025

    Abstract Plant invasion poses a serious environmental challenge to freshwater ecosystems. Heavy metal pollution and nutrient enrichment, particularly nitrogen (N) and phosphorus (P), are two additional critical environmental issues known to influence the growth of invasive plants. Notably, the N/P ratio in the environments is often inconstant; however, whether these variations can cause differential responses in invasive plants remains underexplored, despite its crucial importance for understanding plant invasiveness. In this study, we examined the effects of different N/P ratios (4:1, 16:1, 32:1, 64:1) on the growth of a widespread invasive plant Alternanthera philoxeroides in cadmium (Cd) polluted… More >

  • Open Access

    REVIEW

    Climate Change and Congenital Heart Disease: A Narrative Review

    Ethan Katznelson1, Matthew J. Navarro2, Su Yuan1, Dhurv S. Kazi3, Harsimran S. Singh1,*

    Congenital Heart Disease, Vol.19, No.6, pp. 627-634, 2024, DOI:10.32604/chd.2025.062309 - 27 January 2025

    Abstract Congenital Heart Disease (CHD) is the most common birth defect and a leading cause of infant morbidity and mortality worldwide. While genetic factors play a significant role in its development, up to 30% of CHD is associated with modifiable risk factors and external maternal exposures. Climate change, driven by increased atmospheric pollutants from fossil fuel combustion, leads to rising global temperatures and worsening air quality, which pose emerging threats to maternal and fetal health. This review explores the mechanisms by which environmental factors associated with climate change, specifically extreme heat and air pollution, may influence… More >

  • Open Access

    ARTICLE

    Contributions of Volume and Concentration on Runoff Nitrogen Losses from Intensive Vegetable in China

    Mingkun Cheng1,2, Ju Min2,*, Yanying Zhang2, Yuhe Wang3, Xia Wang4, Weiming Shi1,*

    Phyton-International Journal of Experimental Botany, Vol.93, No.9, pp. 2439-2453, 2024, DOI:10.32604/phyton.2024.054182 - 30 September 2024

    Abstract Vegetable runoff nitrogen (N) loss is a serious environmental issue. However, whether the volume or N content of runoff determines the final N losses has not been clarified, which limited the optimal N managements in vegetable production. Here, we conducted a simulated rainfall experiment to study the runoff N loss flux pattern and the accumulation rate as well as the main influencing factors. The results showed that at 20 to 30 min, the volume of runoff water with a high N content reaches a critical inflection point of increase. Under 55 mm/h rainfall intensity, the… More >

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