Exploring the Influence Mechanism of Meteorological Conditions on the Concentration of Suspended Solids and Chlorophyll-a in Large Estuaries Based on MODIS Imagery

He, Cheng; Yao, Youru; Lu, Xiaoman; Chen, Mingnan; Ma, Wei; Zhou, Liguo

doi:10.3390/w11020375

Cited by 7 publications

(7 citation statements)

References 67 publications

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“…The bands selected to build the Chl-a inverse model are consistent with prior studies [7,66]. Yangtze Mouth and Hangzhou Bay's Chla concentration were analyzed using MODIS satellite's different bands; among them, near-infrared band and red band both achieved good simulation results [28]. Furthermore, the band ratio of blue and red bands was adopted to establish the model of inverse Chl-a concentration of Poyang Lake [13].…”

Section: Applicability Of the Pms-c Modelmentioning

confidence: 90%

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Monitoring the Chl-a Distribution Details in the Yangtze River Mouth Using Satellite Remote Sensing

Cai

Yan

et al. 2022

Water

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The distribution of chlorophyll-a (Chl-a) in the Yangtze River Mouth area was analyzed using a new Chl-a inversion model (PMS-C) based on the relationship between in situ Chl-a and GF-4 PMS band combinations. Combining GF-4 PMS with HY-C CZI, this paper revealed that: (1) Chl-a concentration in Yangtze River Mouth was in the range of 2–6 µg/L, being higher in the west than in the east. The high Chl-a area was mainly distributed near the mouth of the Yangtze River and the Chl-a value was in the range of 3.7 µg/L to 5.9 µg/L. Chl-a concentration is higher in spring and summer than in autumn and winter, with a Chl-a concentration difference of 1–2 µg/L. Chl-a downstream of islands and bridges increased by 0.5–1.7 µg/L compared with upstream. (2) Short-term (within 3 h) changes of Chl-a concentration were effectively detected. In summer and autumn, Chl-a obtained at 13:30 in the noon was generally lower than Chl-a obtained at around 10:30 in the morning and it decreased by nearly 0.1–4 μg/L within three hours on the same day. In winter, the concentration of Chl-a decreased in the range of 0–1.9 μg/L. Generally, within three hours, Chl-a in the downstream of the island decreased significantly from 5 μg/L to about 3.8 μg/L, and Chl-a downstream of piers decreased from 3.7 μg/L to about 3 μg/L. (3) Environmental factors including seawater temperature, illumination, and nutrients, as well as dynamic factors such as wind and tidal current can induce Chl-a change in the Yangtze River Mouth. Short-term change of Chl-a concentration is closely related to the specific hydrodynamic conditions, nutrients, and lighting conditions.

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Section: Applicability Of the Pms-c Modelmentioning

confidence: 90%

“…The GF-4 geosynchronous optical satellite is currently the world's highest-resolution earth observation satellite in geostationary orbit [28,29]. Its continuous monitoring can make up for the shortcomings of traditional reconnaissance satellites such as low time resolution and small coverage area [30].…”

Section: Introductionmentioning

confidence: 99%

Monitoring the Chl-a Distribution Details in the Yangtze River Mouth Using Satellite Remote Sensing

Cai

Yan

et al. 2022

Water

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“…Previous studies have indicated that phytoplankton activity is affected by sea surface temperature [4,11], however, low correlation was observed between chl-a and sea surface temperature (-0.15-0.30) (Table 1). Wind speed is hypothesized to affect TSM because high wind speed results in an increase in flow velocity, which reduces the residence time of coarser grained particles [12]. However, there was low correlation between wind speed and TSM (Table 1).…”

Section: Drivers Of Spatiotemporal Changes Of Chl-a and Tsmmentioning

confidence: 99%

“…Precipitation affects runoff and TSM. TSM can promote chl-a because nutrients can occur as larger suspended solids or are adsorbed on the surface of the particulate matter [12]. The Pampanga River Basin is the largest basin in the Manila Bay Watershed and it discharges into OWT-1 (Figure 1).…”

Section: Drivers Of Spatiotemporal Changes Of Chl-a and Tsmmentioning

confidence: 99%

Riverine inputs into Manila Bay, Philippines potentially drive changes in chlorophyll-a and total suspended matter concentrations measured from MODIS

Flores,

Torres,

Manuel

et al. 2024

Eighth Geoinformation Science Symposium 2023: Geoinformation Science for Sustainable Planet

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Water quality along the northern coast of Manila Bay is deteriorating due to anthropogenic influence, and the use of remote sensing is an effective tool for environmental monitoring. This study estimated the chlorophyll-a (chl-a) and total suspended matter (TSM) concentrations in Manila Bay from 2002 to 2016 and evaluated the possible environmental factors that contributed to the spatiotemporal changes in these two parameters. MODIS images were processed through the Case 2 Regional Coast Color model to determine monthly chl-a and TSM concentrations. Manila Bay was divided into six zones based on spectral characteristics. Each zone was then compared fo r the environmental variables precipitation, runoff, sea surface temperature, and wind speed downloaded from the ECMWF Reanalysis v5 global dataset. Zones 1-3 are located in the northern half of the bay and showed higher chl-a (3.2±0.9 to 8.3±2.2 μg/L) and TSM (2.0±0.7 to 11.0±2.5 g/m 3 ) than Zones 4-6 (chl-a: 0.9±0.4 to 1.9±0.8 μg/L, TSM: 0.7±0.2 to 1.3±0.5 g/m 3 ). The highest chl-a and TSM are in Zone 1, located at the mouth of Pampanga River, which is the largest watershed in Manila Bay. It is also an area with extensive mariculture activity. Within Zone 3 is the mouth of Pasig River, a localized area with anomalously high chl-a and TSM due to the high amount of organic load from urbanization. Pearson correlation of the environmental variables in each zone shows that precipitation (0.15-0.68) and runoff (0.38-0.79) are more correlated with water quality than sea surface temperature and wind speed. Paired t-test of chl-a and TSM also show a significant difference between the wet (June to November) and dry (December to May) seasons. Results suggest that water quality is largely influenced by precipitation and runoff. This means that effective river basin management could be the key to improving water quality in Manila Bay.

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“…TSS may include a large fraction of mineral seston derived directly from terrigenous sources or indirectly by resuspension of already deposited materials. It is an optically active parameter often referred to as suspended sediment concentration (SSC) and plays a critical role in the management of water resources as they are linked with the fluxes of water contaminants, namely micro-pollutants and heavy metals [7,46,49,63,64], and is a key variable used to describe and control sedimentation dynamics in water bodies [65]. Mineral extraction and energy resources are contributing factors to the increase in TSS in water bodies.…”

Section: Overview Of Tssmentioning

confidence: 99%

Measurement of Total Dissolved Solids and Total Suspended Solids in Water Systems: A Review of the Issues, Conventional, and Remote Sensing Techniques

et al. 2023

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This study provides a comprehensive review of the efforts utilized in the measurement of water quality parameters (WQPs) with a focus on total dissolved solids (TDS) and total suspended solids (TSS). The current method used in the measurement of TDS and TSS includes conventional field and gravimetric approaches. These methods are limited due to the associated cost and labor, and limited spatial coverages. Remote Sensing (RS) applications have, however, been used over the past few decades as an alternative to overcome these limitations. Although they also present underlying atmospheric interferences in images, radiometric and spectral resolution issues. Studies of these WQPs with RS, therefore, require the knowledge and utilization of the best mechanisms. The use of RS for retrieval of TDS, TSS, and their forms has been explored in many studies using images from airborne sensors onboard unmanned aerial vehicles (UAVs) and satellite sensors such as those onboard the Landsat, Sentinel-2, Aqua, and Terra platforms. The images and their spectral properties serve as inputs for deep learning analysis and statistical, and machine learning models. Methods used to retrieve these WQP measurements are dependent on the optical properties of the inland water bodies. While TSS is an optically active parameter, TDS is optically inactive with a low signal–noise ratio. The detection of TDS in the visible, near-infrared, and infrared bands is due to some process that (usually) co-occurs with changes in the TDS that is affecting a WQP that is optically active. This study revealed significant improvements in incorporating RS and conventional approaches in estimating WQPs. The findings reveal that improved spatiotemporal resolution has the potential to effectively detect changes in the WQPs. For effective monitoring of TDS and TSS using RS, we recommend employing atmospheric correction mechanisms to reduce image atmospheric interference, exploration of the fusion of optical and microwave bands, high-resolution hyperspectral images, utilization of ML and deep learning models, calibration and validation using observed data measured from conventional methods. Further studies could focus on the development of new technology and sensors using UAVs and satellite images to produce real-time in situ monitoring of TDS and TSS. The findings presented in this review aid in consolidating understanding and advancement of TDS and TSS measurements in a single repository thereby offering stakeholders, researchers, decision-makers, and regulatory bodies a go-to information resource to enhance their monitoring efforts and mitigation of water quality impairments.

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Exploring the Influence Mechanism of Meteorological Conditions on the Concentration of Suspended Solids and Chlorophyll-a in Large Estuaries Based on MODIS Imagery

Cited by 7 publications

References 67 publications

Monitoring the Chl-a Distribution Details in the Yangtze River Mouth Using Satellite Remote Sensing

Monitoring the Chl-a Distribution Details in the Yangtze River Mouth Using Satellite Remote Sensing

Riverine inputs into Manila Bay, Philippines potentially drive changes in chlorophyll-a and total suspended matter concentrations measured from MODIS

Measurement of Total Dissolved Solids and Total Suspended Solids in Water Systems: A Review of the Issues, Conventional, and Remote Sensing Techniques

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