Evaluation of River Water Quality Index Using Remote Sensing and Artificial Intelligence Models

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(9), P. 2359 - 2359

Published: April 29, 2023

To restrict the entry of polluting components into water bodies, particularly rivers, it is critical to undertake timely monitoring and make rapid choices. Traditional techniques assessing quality are typically costly time-consuming. With advent remote sensing technologies availability high-resolution satellite images in recent years, a significant opportunity for has arisen. In this study, index (WQI) Hudson River been estimated using Landsat 8 OLI-TIRS four Artificial Intelligence (AI) models, such as M5 Model Tree (MT), Multivariate Adaptive Regression Spline (MARS), Gene Expression Programming (GEP), Evolutionary Polynomial (EPR). way, 13 parameters (WQPs) (i.e., Turbidity, Sulfate, Sodium, Potassium, Hardness, Fluoride, Dissolved Oxygen, Chloride, Arsenic, Alkalinity, pH, Nitrate, Magnesium) were measured between 14 March 2021 16 June at site near Poughkeepsie, New York. First, Multiple Linear (MLR) models created these WQPs spectral indices images, then, most correlated selected input variables AI models. reference values WQPs, WQI was determined according Canadian Council Ministers Environment (CCME) guidelines. After that, developed through training testing stages, then compared actual values. The results models’ performance showed that MARS model had best among other WQI. demonstrated high effectiveness power estimating utilizing combination artificial intelligence

Language: Английский

---

Impact of the 2021 La Palma volcanic eruption on air quality: Insights from a multidisciplinary approach

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 869, P. 161652 - 161652

Published: Jan. 21, 2023

The La Palma 2021 volcanic eruption was the first subaerial in a 50-year period Canary Islands (Spain), emitting ~1.8 Tg of sulphur dioxide (SO2) into troposphere over nearly 3 months (19 September-13 December 2021), exceeding total anthropogenic SO2 emitted from 27 European Union countries 2019. We conducted comprehensive evaluation impact on air quality (SO2, PM10 and PM2.5 concentrations) utilising multidisciplinary approach, combining ground satellite-based measurements with height-resolved aerosol meteorological information. High concentrations SO2, were observed (hourly mean up to ~2600 μg m−3 also sporadically at ~140 km distance island Tenerife (> 7700 m−3) free troposphere. daily peaked ~380 60 m−3. Volcanic aerosols desert dust both impacted lower similar height range (~ 0–6 km) during eruption, providing unique opportunity study combined effect natural phenomena. PM strongly influenced by magnitude emissions, injection height, vertical stratification atmosphere its seasonal dynamics. Mean increased 38 (Phase I) 92 II), showing an opposite temporal trend which decreased 34 kt 7 II). results this are relevant for emergency preparedness all international areas risk eruptions; approach is key understand processes eruptions affect mitigate minimise impacts population.

Language: Английский

---

Renewable energy integration in sustainable water systems: A review

Cleaner Engineering and Technology, Journal Year: 2024, Volume and Issue: 18, P. 100722 - 100722

Published: Jan. 23, 2024

The world's demand for water and energy is continuously growing due to population increase. Traditional systems are driven by produced using fossil fuels, which lead global warming rise of greenhouse gas pollution. Global an increasing motivation integrate renewable resources in different purposes like pumping, supply, distribution systems. As a result, have smart, sustainable low-cost system, resources, management, monitoring should be simultaneously implemented. Therefore, this paper provides comprehensive review the research conducted on solutions effects integrating types essential tools secure integration resource industry, pivotal role management intelligent technologies within system been explored. This confirms potential achieving smart considering use conducting strategies, smartening system; however, further improve performance increase efficiency system.

Language: Английский

---

Water Quality Retrieval from Landsat-9 (OLI-2) Imagery and Comparison to Sentinel-2

Remote Sensing, Journal Year: 2022, Volume and Issue: 14(18), P. 4596 - 4596

Published: Sept. 14, 2022

The Landsat series has marked the history of Earth observation by performing longest continuous imaging program from space. recent Landsat-9 carrying Operational Land Imager 2 (OLI-2) captures a higher dynamic range than sensors aboard Landsat-8 or Sentinel-2 (14-bit vs. 12-bit) that can potentially push forward frontiers aquatic remote sensing. This potential stems enhanced radiometric resolution OLI-2, providing sensitivity over water bodies are usually low-reflective. study performs an initial assessment on retrieving quality parameters imagery based both physics-based and machine learning modeling. concentration chlorophyll-a (Chl-a) total suspended matter (TSM) retrieved inversion in four Italian lakes encompassing oligo to eutrophic conditions. A neural network-based regression model is also employed derive Chl-a San Francisco Bay. We perform consistency analysis between constituents derived near-simultaneous imagery. TSM retrievals validated using situ matchups. results indicate relatively high among products Sentinel-2. However, constituent maps show less grainy noise, matchup validation indicates accuracies obtained (e.g., R2 0.89) compared (R2 = 0.71). improved retrieval be attributed signal-to-noise (SNR) enabled wider OLI-2. performed image-based SNR estimation confirms this assumption.

Language: Английский

---

Unmanned aerial vehicles (UAVs) as a tool for hazard assessment: The 2021 eruption of Cumbre Vieja volcano, La Palma Island (Spain)

The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 843, P. 157092 - 157092

Published: June 30, 2022

Language: Английский

---

Remote Data for Mapping and Monitoring Coastal Phenomena and Parameters: A Systematic Review

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(3), P. 446 - 446

Published: Jan. 23, 2024

Since 1971, remote sensing techniques have been used to map and monitor phenomena parameters of the coastal zone. However, updated reviews only considered one phenomenon, parameter, data source, platform, or geographic region. No review has offered an overview that can be accurately mapped monitored with data. This systematic was performed achieve this purpose. A total 15,141 papers published from January 2021 June 2023 were identified. The 1475 most cited screened, 502 eligible included. Web Science Scopus databases searched using all possible combinations between two groups keywords: geographical names in areas platforms. demonstrated that, date, many (103) (39) (e.g., coastline land use cover changes, climate change, urban sprawl). Moreover, authors validated 91% retrieved parameters, 39 1158 times (88% combined together other parameters), 75% over time, 69% several compared results each available products. They obtained 48% different methods, their 17% GIS model techniques. In conclusion, addressed requirements needed more effectively analyze employing integrated approaches: they data, merged

Language: Английский

---

Use of the Sentinel-2 and Landsat-8 Satellites for Water Quality Monitoring: An Early Warning Tool in the Mar Menor Coastal Lagoon

Remote Sensing, Journal Year: 2022, Volume and Issue: 14(12), P. 2744 - 2744

Published: June 7, 2022

During recent years, several eutrophication processes and subsequent environmental crises have occurred in Mar Menor, the largest hypersaline coastal lagoon Western Mediterranean Sea. In this study, Landsat-8 Sentinel-2 satellites are jointly used to examine evolution of main water quality descriptors during latest ecological crisis 2021, resulting an important loss benthic vegetation unusual mortality events affecting different aquatic species. Several field campaigns were carried out March, July, August, November 2021 measure variables over 10 control points. The validation satellite biogeochemical against on-site measurements indicates precise results algorithms with median errors 0.41 mg/m3 2.04 FNU for chlorophyll-a turbidity, respectively. preprocessing scheme shows consistent performance both satellites; therefore, using them tandem can improve mapping strategies. findings demonstrate suitability methodology capture spatiotemporal distribution turbidity concentration at 10–30 m spatial resolution on a systematic basis cost-effective way. multitemporal products allow identification critical areas close mouth Albujon watercourse beginning process above 3 mg/m3. These innovative tools support decision makers improving current monitoring strategies as early warning systems timely assistance these disasters, thus preventing detrimental conditions lagoon.

Language: Английский

---

Leveraging Landsat-8/-9 underfly observations to evaluate consistency in reflectance products over aquatic environments

Remote Sensing of Environment, Journal Year: 2023, Volume and Issue: 296, P. 113755 - 113755

Published: Aug. 12, 2023

With an identical design and build, the Operational Land Imager-2 (OLI2) aboard Landsat-9 (L9) complements OLI observations by reducing global revisit rate of Landsat to 8 days. This study takes advantage near-coincident OLI2 obtained on 11–17 November 2021 assess relative quality standard United States Geological Survey (USGS) top-of-atmosphere (TOA) reflectance (ρt) atmospherically corrected (aquatic reflectance; ρwAR) products over bodies water. The TOA assessment was carried out for all visible bands, including panchromatic band, as well near-infrared (NIR) shortwave infrared (SWIR) whereas ρwAR were analyzed in 443, 482, 561, 655 nm bands. overlapping areas OLI-OLI2 ρw product pairs further rigor corrections viewing geometry implemented selected atmospheric correction (AC) processors, SeaDAS, ACOLITE, POLYMER, with denoted ρwAR, ρwac, ρwpol, respectively. Overall, we found OLI2-OLI ρt be consistent within 0.4% visible-near-infrared (VNIR) bands except green band (561 nm), where records ∼0.8% larger values than OLI. two SWIR (1610 2200 nm) also agree ∼2.2% 2.1%, respectively, being lower magnitude. median differences (ρwAR) estimated ∼2.4%, 1.5%, 2.3%, 2.5% which are accepted cross-mission data merging schemes. Further, show that OLI2's signal-to-noise ratio (SNR) is 7–30% higher likely due its 14-bit digitization rate, compared OLI's 12-bit rate. Our self-consistency AC processors handling view zenith angles (ΔVZA) azimuth (ΔRAA) suggests that, overall, account Sun-sensor differently at different spectral These (inconsistencies) amount average absolute percentage (MAPD) from 0.3 5.3% (e.g., ∆ρwAR443nmΔVZAΔRAA=ρwAR,OLI443+6.310−ρwAR,OLI2443+3.9−13<0.5%).More specifically, SeaDAS provides most optimal angular variability a function VZA, ρwac ranges RAAs, POLYMER performs best 443 band. We surmise future (and other existing) methods should tested Landsat-8/-9 underfly imagery quantify their performance tackling imaging minimize associated uncertainties. several missions planned launch end this decade, it emphasized post-launch tandem maneuvers essential creating harmonized multi-mission and, therefore, similar operations considered extended ensure broad range environmental conditions captured comprehensive analyses.

Language: Английский

---

A remote sensing index for the detection of multi-type water quality anomalies in complex geographical environments

International Journal of Digital Earth, Journal Year: 2024, Volume and Issue: 17(1)

Published: Feb. 5, 2024

Frequent water quality anomalies severely affect the ecological environment, hindering protection, restoration, and sustainable use of inland freshwater ecosystems in Sustainable Development Goals (SDG) 15.1. Thus, there is an urgent need to conduct real-time monitoring early warnings various anomalies. However, current remote sensing indices are aimed at only one specific anomaly event regions, which makes it difficult achieve high-precision on-orbit detection sudden complex geographical environments with limited storage computing resources satellites. Therefore, this study proposed a index for multi-type by analyzing spectral differences between different earth's surfaces. The validation results indicated that achieved satisfactory performance synchronous most could be used directly detect Overall, contributes realization methods environments, increases possibility detection.

Language: Английский

---

Deep learning for water quality multivariate assessment in inland water across China

International Journal of Applied Earth Observation and Geoinformation, Journal Year: 2024, Volume and Issue: 133, P. 104078 - 104078

Published: Aug. 16, 2024

• Demonstration of limited but representative training dataset for efficient modeling. Robust DNN models independent and simultaneous retrieval Chl-a, TSS SDD. Better performance over XGBoost, RF, SVM. Applicability on heterogeneous lakes. Challenges significant water quality degradation trends in Chinese Remote sensing optically complex inland waterbodies is challenging due to the nonlinear correlation between parameters optical properties. However, integration deep learning techniques datasets offers potential address these challenges effectively. This study aims develop robust models, utilizing highly in-situ radiometrically corrected hyperspectral remote reflectance (R rs ) measurements collected from diverse lakes China, Chlorophyll-a (Chl-a), Secchi Disk Depth (SDD), Total Suspended Solids (TSS) using Sentinel-2 analysis ready products. The GLObal Reflectance community Imaging Aquatic environments (GLORIA) provides 400 such lakes, which are simulated R with its spectral response function build a dataset. Using this dataset, Multilayer Perceptron (MLP) based Deep Neural Network (DNN) developed compared eXtreme Gradient Boosting (XGB), Random Forest (RF), Support Vector Machine (SVM) algorithms. outperformed effective evaluation Chl-a (Root Mean Squared Error (RMSE) = 14.18 mg/m 3 ), (RMSE=7.23 g/m SDD (RMSE=0.12 m) test (RMSE=14.42 (RMSE=0.07 against Sentinel-2A validation Liangzi lake. Mixed Density (MDN) model showed less accuracy (RMSE=16.76 same Impact different atmospheric correction processors also assessed achieved their Atmospheric Correction (Sen2Cor) processor. Finally, maps various China produced showing realistic ranges. These results show trained practical applications spatial temporal quality.

Language: Английский

---