We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Papers
61,005 resultsShowing papers similar to Evaluation of the Performance of Spline Interpolation Method in Mapping and Estimating the Total Suspended Solids over the Coastal Water of Pulau Tuba, Kedah
ClearA Comparative Accuracy of Regularized and Tension Spline Methods to Estimate and Model the Surface Water pH of Pulau Tuba, Langkawi, Kedah
This study compared different mathematical interpolation methods for modeling surface water pH across a coastal area in Malaysia. Accurate spatial modeling of water quality parameters helps researchers understand the distribution of pollutants, including microplastics, in coastal marine environments.
The Mapping of Salinity Level Using The Inverse Distance Weighted (Idw) Interpolation Method Along The Coastal Area of Pulau Tuba, Langkawi
This study tested the accuracy of the inverse distance weighted interpolation method for estimating sea surface salinity along a Malaysian coastline. The research is focused on oceanographic mapping methodology rather than microplastic contamination.
Sediment Suspension Distribution Models in East Canal Flood Estuary Waters, Semarang, Central Java, Indonesia
Researchers assessed the spatial distribution and concentration of total suspended solids (TSS) in the East Canal Flood River estuary of Semarang, Indonesia, using sediment suspension distribution models to map pollution levels and evaluate conformity with regulatory thresholds in this densely populated coastal zone.
Remote Data for Mapping and Monitoring Coastal Phenomena and Parameters: A Systematic Review
This systematic review of over 15,000 papers identified 103 coastal phenomena and 39 parameters that can now be accurately mapped and monitored using remote sensing data. The authors validated 91% of retrieved parameters, demonstrating that satellite and aerial remote sensing has become a comprehensive tool for tracking coastal environmental changes including pollution and habitat degradation.
Optimization and Evaluation of Widely-Used Total Suspended Matter Concentration Retrieval Methods for ZY1-02D’s AHSI Imagery
This study evaluated methods for measuring total suspended matter concentrations in Chinese inland waters using hyperspectral satellite imagery. Remote sensing of water quality is increasingly relevant for monitoring pollution including microplastics in large water bodies.
Can Water Constituents Be Used as Proxy to Map Microplastic Dispersal Within Transitional and Coastal Waters?
Researchers tested whether measurable water quality parameters such as turbidity and chlorophyll could serve as indirect proxies for predicting microplastic distribution in coastal and transitional waters using remote sensing data. Results showed limited predictive power, suggesting that microplastic monitoring cannot reliably be inferred from water clarity measures alone.
Evaluating Microplastic Pollution Along the Dubai Coast: An Empirical Model Combining On-Site Sampling and Sentinel-2 Remote Sensing Data
Researchers collected coastal water samples from Dubai and combined laboratory spectral measurements with Sentinel-2 satellite imagery to build a model that estimates microplastic concentrations from space. The model achieved an R² of 87% and was used to map microplastic pollution trends along the Dubai coast from 2018 to 2021. This remote-sensing approach demonstrates a scalable method for monitoring coastal microplastic pollution over large areas without intensive fieldwork.
Characteristics and Distribution of Microplastics in Surface Sediment of Selat Pulau Tuba, Langkawi, Kedah
Researchers characterized the distribution and types of microplastics found in surface sediments of the Selat Pulau Tuba strait in Langkawi, Malaysia. The study found polypropylene and polyethylene as the dominant polymer types, contributing to baseline data on microplastic pollution in Malaysian coastal sediments.
Spatial Distribution and Geostatistical Prediction of Microplastic Abundance in a Micro-Watershed with Tropical Soils in Southeastern Brazil
Researchers used geostatistical methods to predict and spatially map microplastic abundance in agricultural soil across a micro-watershed with tropical soils in southeastern Brazil. The study found heterogeneous spatial distribution patterns influenced by land use and topography, demonstrating that kriging-based interpolation can produce reliable continuous maps for environmental risk assessment.
Assessment of the Current Spatiotemporal Variations of Total Suspended Solid on the Surface Waters of Kuala Perlis, Perlis
This study measures total suspended solids (TSS) in the surface waters of a Malaysian river estuary across different times of day and sampling locations, finding no statistically significant spatial or temporal variation in TSS. It is not about microplastics and is a false positive for microplastic relevance.
Quantifying microplastic pollution on sandy beaches: the conundrum of large sample variability and spatial heterogeneity
This methodological study tested different sampling approaches for measuring microplastic pellets on sandy beaches and found that concentrations vary greatly over small spatial distances, making single samples unreliable. The authors recommend specific multi-sample strategies to get accurate estimates of beach microplastic contamination.
Baseline evaluation of sediment contamination in the shallow coastal areas of Saudi Arabian Red Sea
Researchers conducted a broad contamination survey of coastal sediments along the Saudi Arabian Red Sea, measuring levels of PAHs, heavy metals, and plastics. The study found detectable contamination across all sites, providing important baseline data for a region where such environmental monitoring has been limited.
Spatial distribution of microplastics abundance along selected beaches in Kelantan, Malaysia / Muhammad Zakwan Anas Abd Wahid ... [et al.]
Researchers sampled microplastics from ten beach locations across Kelantan, Malaysia using FTIR spectroscopy and geospatial analysis to characterize spatial distribution. Microplastics were widespread across all sites, with natural coastal dynamics and human activities identified as key drivers of their abundance and distribution along the Malaysian coastline.
Regional Satellite Algorithms to Estimate Chlorophyll-a and Total Suspended Matter Concentrations in Vembanad Lake
Researchers developed regional satellite algorithms to estimate chlorophyll-a concentrations and total suspended matter in Vembanad Lake, India, using remote sensing data to monitor water quality in a highly productive but increasingly polluted coastal ecosystem. The algorithms were calibrated against in-situ measurements and found to improve the accuracy of water quality assessments compared to global ocean-color models, supporting sustainable development monitoring goals.
Monitoring and Assessment of Microplastic Pollution in Coastal Zones: Sampling Methods and Spatial Distribution Characteristics
This review examines sampling methods and spatial distribution characteristics of microplastic pollution in coastal zones, synthesizing approaches for monitoring these key environmental interfaces. Researchers found that coastal zones serve as major sinks and dispersal areas for microplastics, with sampling methodology significantly influencing reported concentrations and distribution patterns.
Towards the Spectral Mapping of Plastic Debris on Beaches
This paper reviews the use of remote sensing (satellite and aerial imaging) to detect and map plastic debris on beaches. Advances in spectral imaging could allow large-scale automated monitoring of coastal plastic pollution, which is currently labor-intensive and limited in coverage.
Predicting microplastic accumulation zones and shoreline changes along the Kelantan coast, Malaysia, using integrated GIS and ANN models
Researchers combined GIS with an artificial neural network to predict microplastic accumulation zones along Malaysia's Kelantan coast, achieving R=0.972 predictive accuracy and identifying shoreline erosion-prone areas as the primary deposition hotspots for microplastic pollution.
How many samples do we need to be representative? Grid sampling in Danish waters for assessing the distribution of microplastics and tire wear particles in seabed sediments
Researchers conducted grid sampling at two Danish coastal sites to assess microplastic and tire wear particle variability in seabed sediments, finding significant concentration variation within and between sites, no tire wear particles at the more remote Strandby site, and Monte Carlo simulations showing that 10 sampling points give only a 50% probability of estimating the true mean within 94-119%.
Spatial patterns of microplastics in abiotic coastal matrices of the northern Oman Sea, assessed with data visualization and geostatistics
Researchers used innovative data visualization and geostatistical tools to map microplastic contamination patterns in coastal waters and sediments along the northern Oman Sea. They characterized the spatial distribution of microplastics across littoral zones and marine surface waters, identifying pollution hotspots and likely sources. The study demonstrates that advanced mapping techniques can improve understanding of how microplastics are distributed in coastal environments.
Abundance And Distribution Of Plastic Debris In Beach Sediment And Seawater Of The Northern Straits Of Malacca
Researchers surveyed the abundance and distribution of macro-, meso-, and microplastic debris in beach sediments and seawater along the Northern Straits of Malacca in Malaysia, providing baseline contamination data relevant to the country's national roadmap toward reducing single-use plastics.
Mapping the plastic legacy: Geospatial predictions of a microplastic inventory in a complex estuarine system using machine learning
Researchers applied machine learning techniques to develop geospatial predictions of microplastic inventory in a complex estuarine system, overcoming the limitations of coarse ocean basin models by accounting for the intricate geomorphological and hydrodynamic conditions that govern sediment-associated microplastic distribution.
Validation of marine plastic litter distribution models on the North-Western Mediterranean
Researchers validated marine plastic litter distribution models against observational data from the North-Western Mediterranean, assessing model skill in representing spatial distribution patterns of microplastics at the sea surface, through the water column, and on the seabed. The study addressed the sparse and seasonally unrepresentative nature of existing sampling campaigns by evaluating whether models can reliably predict plastic accumulation zones and seasonal variability.
Distribution and Structure of China–ASEAN’s Intertidal Ecosystems: Insights from High-Precision, Satellite-Based Mapping
Researchers used multi-source satellite data to create high-precision maps of intertidal ecosystems across the China-ASEAN region, distinguishing between mangroves, salt marshes, and tidal flats. They developed an improved classification framework to address inconsistencies in previous mapping efforts. The study provides a valuable baseline for monitoring how climate change and human activities are affecting these ecologically important coastal zones.
Mapping the Plastic Legacy: Geospatial Predictions of a Microplastic Inventory in a Complex Estuarine System Using Machine Learning
Researchers applied machine learning geospatial modelling to predict microplastic distribution across a complex estuarine system, using sediment samples as a training dataset to generate spatial inventory maps of microplastic accumulation. The model leveraged the estuary's role as a land-sea interface and plastic accumulation bottleneck to produce high-resolution predictions of microplastic hotspots for monitoring and management purposes.