Connection of remote detection, GIS and cartography in pollution data processing DOI
Aleksandar Valjarević

Published: Jan. 1, 2024

The modern age of fast, global communication requires the transformation data into different forms information. Most today's geoinformation processes are based on remote sensing. is stored in databases that simple and easy to search GIS. visual representation results maps practical for many spatial sciences. Spatial obtained from aerial photographs, satellite images, GPS, topographic digitization process. "three-way interaction model" shows equal status sensing, GIS cartography. Remote sensing collect represent processing techniques, while cartography can only partially be considered as such, it involves more procedures. application geospatial technologies, e.g. geographic information systems (GIS), practically impossible without valid high-quality data, i.e. its effective analysis. techniques presented form classic alphanumeric reports, but also graphically maps. use has accelerated air pollution data. Air presence chemical biological particles harm all living things threaten environment. This paper presents research images with a resolution 1 km2 Balkan countries. characteristics countries related heavy industry meteorological parameters such humidity, wind direction, pressure cloud cover. focus work four most important pollutants (CO, NO, SO2, O3). was Landsat 8 9 period 2000-2020. relative cover taken CHELSA database (Climateologies at high earth's land surface areas) 1980-2010. collected processed displayed numerical analysis carried out.

Language: Английский

Photocatalytic degradation of drugs and dyes using a maching learning approach DOI Creative Commons

Ganesan Anandhi,

M. Iyapparaja

RSC Advances, Journal Year: 2024, Volume and Issue: 14(13), P. 9003 - 9019

Published: Jan. 1, 2024

The waste management industry uses an increasing number of mathematical prediction models to accurately forecast the behavior organic pollutants during catalytic degradation.

Language: Английский

Citations

22
Long-term remote sensing-based methods for monitoring air pollution and cloud cover in the Balkan countries DOI
Aleksandar Valjarević

Environmental Science and Pollution Research, Journal Year: 2024, Volume and Issue: 31(18), P. 27155 - 27171

Published: March 20, 2024

Language: Английский

Citations

7
The Role of Remote Sensing in the Evolution of Water Pollution Detection and Monitoring: A Comprehensive Review DOI
Gordana Kaplan, Fatma Yalçinkaya, Esra Altıok

et al.

Physics and Chemistry of the Earth Parts A/B/C, Journal Year: 2024, Volume and Issue: 136, P. 103712 - 103712

Published: Aug. 23, 2024

Language: Английский

Citations

6
Integrating AHP and GIS for Sustainable Surface Water Planning: Identifying Vulnerability to Agricultural Diffuse Pollution in the Guachal River Watershed DOI Open Access
Víctor Felipe Terán-Gómez,

Ana María Buitrago-Ramírez,

Andrés Echeverri-Sánchez

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(9), P. 4130 - 4130

Published: May 2, 2025

Diffuse agricultural pollution is a leading contributor to surface water degradation, particularly in regions undergoing rapid land use change and intensification. In many developing countries, conventional assessment approaches fall short of capturing the spatial complexity cumulative nature multiple environmental drivers that influence vulnerability. This study addresses this gap by introducing Integral Index Vulnerability Contamination (IIVDC), spatially explicit, multi-criteria framework combines Analytical Hierarchy Process (AHP) with Geographic Information Systems (GIS). The IIVDC integrates six key indicators—slope, soil erodibility, use, runoff potential, hydrological connectivity, observed quality—weighted through expert elicitation mapped at high resolution. methodology was applied Guachal River watershed Valle del Cauca, Colombia, where pressures are pronounced. Results indicate 33.0% exhibits vulnerability 4.3% very vulnerability, critical zones aligned steep slopes, limited vegetation cover, strong connectivity cultivated areas. By accounting for both biophysical attributes pollutant transport pathways, offers replicable tool prioritizing management interventions. Beyond its technical application, contributes sustainability enabling evidence-based decision-making resource protection planning. It supports integrated, targeted actions can reduce long-term contamination risks, guide sustainable practices, improve institutional capacity governance. approach suited contexts data but planning essential. Future refinement should consider dynamic quality monitoring validation across contrasting hydro-climatic enhance transferability.

Language: Английский

Citations

0
Strategic landfill site selection for sustainable waste management in Phu Yen Province, Vietnam using geospatial technologies DOI Creative Commons

Diem-My Thi Nguyen,

Dorian Tosi Robinson,

Christian Zurbrügg

et al.

Ecological Informatics, Journal Year: 2025, Volume and Issue: unknown, P. 103198 - 103198

Published: May 1, 2025

Language: Английский

Citations

0
AI Techniques for Near Real-Time Monitoring of Contaminants in Coastal Waters on Board Future $\Phi$sat-2 Mission DOI Creative Commons
Francesca Razzano,

Pietro Di Stasio,

Francesco Mauro

et al.

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Journal Year: 2024, Volume and Issue: 17, P. 16755 - 16766

Published: Jan. 1, 2024

Language: Английский

Citations

2
Prediction of urban surface water quality scenarios using hybrid stacking ensembles machine learning model in Howrah Municipal Corporation, West Bengal DOI
Chiranjit Singha,

Ishita Bhattacharjee,

Satiprasad Sahoo

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 370, P. 122721 - 122721

Published: Oct. 13, 2024

Language: Английский

Citations

2
Faecal contamination and its relationship with some environmental variables of four urban rivers in inner Hanoi city, Vietnam DOI Open Access

Da Le Nhu,

Hương Nguyễn Thị,

Ha Hoang Thi Thu

et al.

VIETNAM JOURNAL OF EARTH SCIENCES, Journal Year: 2023, Volume and Issue: unknown

Published: Oct. 31, 2023

Coliform bacteria are essential variables for assessing riverine water quality. In this study, the faecal indicator (FIB) in relationship with some physico-chemical were investigated during period 2020-2022 four urban rivers (To Lich, Lu, Set, and Kim Nguu) inner Hanoi city to provide updated quality of these rivers. The results demonstrated severe coliforms contamination waters compared permissible values Vietnam technical regulation surface quality, QCVN08-MT:2015/BTNMT column B1. Nutrients (ammonium phosphate) concentrations dissolved oxygen (DO) exceeded values, whereas pH was within standard. Pearson analysis significant positive correlation between total (TC) Escherichia coli (EC) densities ammonium concentration water. Besides, higher dry season than rainy one all sites observed. All reflect critical role point sources, notably domestic wastewater inputs river basins. Considering rivers' deteriorating condition, developing an effective treatment system is necessary Hanoi.

Language: Английский

Citations

4
An Ensemble Machine Learning Model to Estimate Urban Water Quality Parameters Using Unmanned Aerial Vehicle Multispectral Imagery DOI Creative Commons
Xiangdong Lei, Jie Jiang, Zifeng Deng

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(12), P. 2246 - 2246

Published: June 20, 2024

Urban reservoirs contribute significantly to human survival and ecological balance. Machine learning-based remote sensing techniques for monitoring water quality parameters (WQPs) have gained increasing prominence in recent years. However, these still face challenges such as inadequate band selection, weak machine learning model performance, the limited retrieval of non-optical active (NOAPs). This study focuses on an urban reservoir, utilizing unmanned aerial vehicle (UAV) multispectral ensemble (EML) methods monitor optically (OAPs, including Chla SD) non-optically (including CODMn, TN, TP), exploring spatial temporal variations WQPs. A framework Feature Combination Genetic Algorithm (FC-GA) is developed feature along with two frameworks EML models WQP estimation. Results indicate FC-GA’s superiority over popular Pearson correlation coefficient recursive elimination, achieving higher performance no multicollinearity between bands. The demonstrates superior estimation capabilities WQPs like Chla, SD, TP, R2 0.72–0.86 MRE 7.57–42.06%. Notably, exhibits greater accuracy estimating OAPs (MRE ≤ 19.35%) compared NOAPs 42.06%). Furthermore, distributions reveal nitrogen phosphorus nutrient pollution upstream head downstream tail reservoir due activities. are lower dry season than rainy season, while clarity CODMn season. proposes a novel approach monitoring, aiding identification potential sources management.

Language: Английский

Citations

1
The Impact of Urbanization on the Environment in Shymkent: Dynamics of Solid Waste DOI Open Access
Akbota Aitimbetova, Akmaral Batyrkhanova,

Raziya Isayeva

et al.

Evergreen, Journal Year: 2024, Volume and Issue: 11(1), P. 56 - 70

Published: March 1, 2024

The main goal of the study is to assess physical and chemical properties snow cover, level dust pollution cover ground layer atmosphere in technogenic source urban environment -the zone influence solid waste landfill city Shymkent.The sampled measured thickness its areas with undisturbed and, based on results, came conclusion that environs characterized by an increased content carbon monoxide, nitrate ions, chlorides, which a consequence sources.The results soil samples soddy-podzolic showed: clear relationship was established, it revealed porous soils high fractions <0.005 mm have both large total perimeter pore area.

Language: Английский

Citations

0