Marine Pollution Bulletin, Год журнала: 2024, Номер 209, С. 117263 - 117263
Опубликована: Ноя. 17, 2024
Язык: Английский
Earth-Science Reviews, Год журнала: 2023, Номер 242, С. 104446 - 104446
Опубликована: Май 10, 2023
From stream headwaters to the deep ocean, dissolved organic carbon (DOC) is ubiquitous across world's aquatic systems, where it fulfills important biogeochemical and ecological functions. Importantly, DOC a dynamic component of cycle represents global reservoir (mass carbon) equivalent in size atmospheric CO2 pool. The mobilization, transport, transformations along land-ocean continuum biogeochemically connect terrestrial landscapes, freshwater marine ecosystems, atmosphere. As result, budgets are vulnerable climate- human-driven changes. Having ability quantify stocks, fluxes, consistently accurately systems therefore critical our understanding DOC's functions environment their susceptibility change. In recent years, optical techniques synoptic earth observations have opened new doors achieve this objective on scale. review, we explore how situ measurements, observations, models they inform facilitated large-scale quantification helped shape current cycle. review also explores limitations challenges still face today, discusses upcoming future sensors expected provide insights into
Язык: Английский
Процитировано
27
Journal of Geophysical Research Biogeosciences, Год журнала: 2024, Номер 129(3)
Опубликована: Фев. 29, 2024
Abstract Dissolved organic matter and its colored component, Colored Organic Matter (CDOM), play a major role in global carbon budgets, their fluxes provide an essential link between terrestrial aquatic biogeochemical cycles. Satellite observations can uniquely capture the hydro‐biogeochemical connectivity of landscapes, across scales. Yet, accurate satellite retrievals CDOM dissolved (DOC) dynamics remain challenging urbanized estuaries coasts. Here, we present advanced unified algorithm for space‐based retrieval coastal DOC application Long Island Sound—one world's most heavily that is becoming increasingly vulnerable to climate change stressors. A rich bio‐optical data set, encompassing wide range environmental conditions, was integrated into training retrieve concentrations spectral shape (i.e., slope S 275–295 )—a proxy quality. The new algorithms were applied full‐resolution imagery from Sentinel‐3 Ocean Land Color Instrument (OLCI) after thoroughly evaluating performance six ocean color atmospheric correction approaches (ACOLITE, BAC, C2RCC, MUMM, l2gen , Polymer). Evaluation yielded mean absolute percent differences 28%, 12%, 10% (300), DOC, respectively. Application multi‐year OLCI captured, first time, coupled impact seasonal transitions, wind regimes, freshwater inputs, anthropogenic disturbances, hydrological extremes (both intense precipitation droughts) on quality at ecosystem scale. Results have important implications improved predictions complex urban−estuary systems.
Язык: Английский
Процитировано
8
The Science of The Total Environment, Год журнала: 2024, Номер 921, С. 171083 - 171083
Опубликована: Фев. 20, 2024
The role of estuaries in sourcing and transforming dissolved organic matter - the largest reservoir carbon ocean still presents many unknowns for coastal biogeochemical cycles, is further complicated by increasing human pressures a changing climate. Here, we examined major drivers colored (CDOM) dynamics Long Island Sound (LIS), heavily urbanized estuary National Significance with storied water quality past. A comprehensive new optical dataset, including measurements CDOM absorption fluorescence signatures, was integrated biological hydrological to capture spatiotemporal heterogeneities LIS, its urban-to-rural gradient, dynamic river mouths, blue ecosystems across seasons, following episodic storm events, over five years. Results reveal longitudinal gradients both DOM amount quality. While carbon-rich humic terrigenous dominant riverine-influenced Central Eastern an uncoupling between (aCDOM) (DOC) concentration Western stronger correlation Chlorophyll-a, indicated increased autochthonous production. Closer New York City urban core, aCDOM highly correlated turbidity, consistent wastewater influences. Fluorescence PARAFAC analysis provided strong evidence seasonal processing related summertime photochemical degradation humic-like components shoulder-season microbial processing. Riverine export influenced discharge amount, residence time, wetlands acting as additional sources strongly aromatic matter. These allowed us assess how hydrologic, biological, anthropogenic processes impact and, subsequently, variability trophic status this complex estuary, implications management policy. discussed here are applicable beyond globally face similar forcings.
Язык: Английский
Процитировано
7
Remote Sensing, Год журнала: 2024, Номер 16(15), С. 2761 - 2761
Опубликована: Июль 29, 2024
Harmful algal blooms (HABs) threaten lake ecosystems and public health. Early HAB detection is possible by monitoring chlorophyll-a (Chl-a) concentration. Ground-based Chl-a data have limited spatial temporal coverage but can be geo-registered with temporally coincident satellite imagery to calibrate a remote sensing-based predictive model for regional mapping over time. When matching ground data, positional discrepancies are unavoidable due particularly dynamic surfaces, thereby biasing the calibration. This limitation has long been recognized so far not addressed explicitly. To mitigate such effects of mismatching, we proposed an Akaike Information Criterion (AIC)-like weighted regression algorithm that relies on error-based heuristic automatically favor “good” points downplay “bad” points. We evaluated estimating inland lakes in Ohio using Harmonized Landsat Sentinel-2. The AIC-like estimates showed superior performance R2 0.91 error variance (σE2) 0.29 μg/L, outperforming linear (R2 = 0.34, σE2 2.34 μg/L) random forest 0.82, 0.92 μg/L). also noticed poorest occurred spring low reflectance variation clear water Our scheme adaptive generically applicable. Future studies may adopt our tackle other sensing estimation problems (e.g., terrestrial applications) alleviating adverse geolocation errors discrepancies.
Язык: Английский
Процитировано
7
The Science of The Total Environment, Год журнала: 2023, Номер 896, С. 164953 - 164953
Опубликована: Июнь 28, 2023
Язык: Английский
Процитировано
11
International Journal of Applied Earth Observation and Geoinformation, Год журнала: 2024, Номер 127, С. 103670 - 103670
Опубликована: Янв. 31, 2024
Column-integrated algal biomass (CAB), represented by integrated Chlorophyll-a concentrations (Chla) throughout the water column, is indicative of overall for entire lake. The performance retrieval algorithms limited since previous research on CAB underestimate impact subsurface information. To enhance estimation in shallow lakes, an upper-to-lower method and a bivariate model were combined novel algorithm was applied to Lake Chaohu. Maximum Chlorophyll Index (MCI) outperformed other three surface Chla inversion (R2 = 0.73, RMSE 10.06 μg/L, MAPE 35.22 %). used retrieval, depending empirical regression between two adjacent layers. different surface–subsurface combinations validated determine optimal one development. tested scenarios (no-bloom scenario no-bloom + bloom scenario), displaying superior compared conventional ones 0.83, 16.77 25.68 %, N 36, scenario; R2 0.88, 32.34 38.15 50, scenario). Furthermore, application further extended OLCI imageries, exhibiting spatial consistency with RGB composites. enhanced stability reliability total estimations can provide more comprehensive understanding aquatic ecosystem.
Язык: Английский
Процитировано
4
The Science of The Total Environment, Год журнала: 2025, Номер 968, С. 178881 - 178881
Опубликована: Фев. 21, 2025
Язык: Английский
Процитировано
0
International Journal of Applied Earth Observation and Geoinformation, Год журнала: 2025, Номер 137, С. 104389 - 104389
Опубликована: Фев. 20, 2025
Язык: Английский
Процитировано
0
Geo-spatial Information Science, Год журнала: 2024, Номер unknown, С. 1 - 18
Опубликована: Июль 24, 2024
The ecological quality of a region is significantly influenced by its geographical conditions, which can yield different effects on ecosystems. Nevertheless, the lack adequate technology has impeded quantitative investigations into these differences. Consequently, there an increasing demand for effective techniques to quantitatively measure differences in resulting from variations conditions. This study applied novel Remote Sensing-based Ecological Index (RSEI) concurrently two distinct provincial-level regions China, Fujian and Ningxia, detect their These possess contrasting with having high forest coverage abundant rainfall, while Ningxia features low extensive loess plateau desert terrain. By linking factors corresponding responses, we conducted comprehensive analysis determine whether conditions between had caused significant disparities status. results indicate that have indeed led marked differences, exhibiting excellent status, lags behind due unfavorable In terms RSEI scores, consistently achieved higher values (>0.8) years, reaching level, whereas recorded scores lower than 0.45 during comparable poor moderate level. Regarding impact positive contributions greenness wetness indicators ecology were greater those (58% vs. 39%), negative indicators, dryness hotness, notably compared (|–61|% |–42|%). successful concurrent application geographically distant also demonstrates robustness technique.
Язык: Английский
Процитировано
3
The Science of The Total Environment, Год журнала: 2024, Номер 957, С. 177180 - 177180
Опубликована: Ноя. 23, 2024
Язык: Английский
Процитировано
3