Remote sensing and water quality indicators in the Korean West coast: Spatio-temporal structures of MODIS-derived chlorophyll-a and total suspended solids

Kim, Hae-Cheol; Son, Seung-Hyun; Kim, Yong Hoon; Khim, Jong Seong; Nam, Jungho; Chang, Won Keun; Lee, Jung-Ho; Lee, Changhee; Ryu, Jongseong

doi:10.1016/j.marpolbul.2017.05.026

Cited by 73 publications

(37 citation statements)

References 53 publications

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“…As an important environmental parameter of water quality, a high level of TSS indicate a severely degraded coral reef ecosystem health, which may cause death of coral and related creatures when exposed to long duration of high TSS after extreme events. Recently, using remote sensing techniques to estimate TSS has become an important method to monitor water quality in different types of water bodies [29,30,31,32]. Besides TSS, other commonly used water quality indices include water clarity, turbidity, etc.…”

Section: The Significance Of Coral Reef Ecosystem and Its Degradationmentioning

confidence: 99%

Investigating Rainstorm Disturbance on Suspended Substance in Coastal Coral Reef Water Based on MODIS Imagery and Field Measurements

Chen¹

2018

EARTH

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From July 11-12, 2009, the tropical storm Soudeler swept the study area with a Level 8 wind and disturbed the suspended substance in this coastal area, which may have caused some fatal impact on the health condition of coral reef in Xuwen coral reef coast located in Leizhou Peninsula of South China. In order to evaluate the impact of extreme weather on coral reef, this study applied and validated a TSS model to map the TSS variation based on red and infrared spectral bands of MODIS data through one before-storm and two after-storm images after applying the atmospheric correction of in-water linear regression analysis. By mapping and comparing the changes of TSS values before-and after-tropical storm, this study found substantial increases of TSS concentrations as a mean value of 47.8 mg/L (~3.6 times of mean TSS value before rainstorm) in the area during the passage of tropical storm compared to those under no-storm condition. Besides, the TSS returned back to even lower values five days after the passage of tropical storm as a mean value of 3.6mg/L (~one quarter of mean TSS value (13.4 mg/L) before rainstorm). The conclusion was made that the TSS concentration in estuary and coastal areas under local rainstorm tends to return to a normal level faster (approximately 2.5 days) than under a hurricane [1] or tropical storm as discovered in this study (approximately 5 days). Compared to the less frequent and non-synoptic in-situ field sampling approach, the synoptic and frequent sampling facilitated by frequent remote sensing imagery of MODIS provides an improved assessment of TSS concentration and two-dimensional distribution patterns and is recommended to be used as a valuable tool for frequently monitoring coral reef water quality in coastal water bodies of China and other areas in the world if applicable.

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Section: The Significance Of Coral Reef Ecosystem and Its Degradationmentioning

confidence: 99%

Investigating Rainstorm Disturbance on Suspended Substance in Coastal Coral Reef Water Based on MODIS Imagery and Field Measurements

Chen¹

2018

EARTH

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“…TSS sendiri terdiri dari lumpur dan pasir halus serta jasad-jasad renik, yang terutama disebabkan oleh kikisan tanah atau erosi tanah yang terbawa ke badan air (Effendi, 2003;Kim et al, 2017;Raycraft et al, 2017). Pengambilan sampel pada penelitian ini dilakukan pada musim penghujan sehingga kandungan TSS yang tinggi disebabkan oleh terbawanya sedimentasi oleh air hujan dari lahan kosong yang tidak bervegetasi.…”

Section: Indeks Pencemaran Airunclassified

Identification of Suitability Agriculture Landuse and Water Contamination Level as Agricultural Intensification Effect in Upstream of Brantas Watershed, Batu

Lusiana

Widiatmono

Anugroho

2017

JTP

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ABSTRAKPerkembangan setiap sektor pembangunan akan membawa dampak negatif terhadap lingkungan, begitu juga dengan perkembangan sektor pertanian menjadi agroindustri. Salah satu dampak negatif dari perkembangan kegiatan pertanian adalah usaha intensifikasi pertanian melalui penggunaan pestisida yang berpotensi mencemari air sungai. Identifikasi terhadap kesesuaian penggunaan lahan pertanian serta tingkat pencemaran air sungai oleh penggunaan pestisida merupakan langkah awal dalam usaha menjaga sumberdaya alam akibat usaha intensifikasi pertanian. Metode penelitian yang digunakan terdiri dari dua metode yaitu analisa spasial untuk kesesuaian penggunaan lahan pertanian dan indeks pencemaran untuk mendeskripsikan tingkat pencemaran air sungai. Hasil penelitian menunjukkan bahwa luas lahan yang sesuai dengan peruntukan pertanian (Kelas I dan II) di kota Batu sebesar 1333.54 ha atau 6.78%, hasil evaluasi kelas kemampuan lahan menunjukkan ketidaksesuaian penggunaan lahan kondisi saat ini sebesar 25.67% dan berdasarkan RTRW sebesar 32.05%. Peningkatan ketidaksesuaian penggunaan lahan juga diperoleh dari perkembangan sektor pertanian dimana luas lahan pertanian yang dialokasikan 3289.756 ha lebih dari luas lahan pertanian yang tersedia. Tingkat pencemaran air sungai DAS Brantas hulu kota Batu berada pada status pencemaran ringan sampa berat dengan indeks pencemaran terendah 0.92 (kondisi baik) berada di sumber Brantas dan tertinggi 245.39 pada sungai Ngujung, desa Pandanrejo. Usaha intensifikasi pertanian di kota Batu juga memiliki kontribusi terhadap penurunan kualitas air di DAS Brantas Hulu

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“…With the development of high spatial and temporal resolutions of satellite sensors, remote sensing has proven to be one of the most comprehensive tools for observing the temporal and spatial variations of the water turbidity (Dogliotti et al, 2015;Randolph et al, 2008). Over the past decade, satellite remote sensing has been as an important tool for monitoring sediment transport and analyzing the spatial distribution of total suspended matter (TSM; Wang et al, 2012;Zhang, Lin, et al, 2010;Zhang, Tang, et al, 2010), although some satellite sensors such as the Moderate Resolution Imaging Spectroradiometer (MODIS; Brezonik et al, 2005;Kim et al, 2017;Robert et al, 2016;Wu et al, 2009), Sea-Viewing Wide Field-of-View Sensor (SeaWiFS; Blakey et al, 2016;D'sa et al, 2002;Pozdnyakov et al, 2003;Tassan, 1994), and Landsat Thematic Mapper (Barnes et al, 2014;Barrett & Frazier, 2016;Bonansea et al, 2015;Masocha et al, 2017;Pattiaratchi et al, 1994;Torbick et al, 2013) have been used to monitor water quality in lakes or rivers. However, for long-term turbidity remote sensing monitoring, although some previous researchers have developed some empirical models for estimating the concentrations of total suspended matter with satellite data (Shi et al, 2015;Shi et al, 2018), due to the large amount of data processing, how to quickly obtain water quality information from long-term remote sensing images is still very difficult.…”

Section: Introductionmentioning

confidence: 99%

Application of Remote Sensing to Identify and Monitor Seasonal and Interannual Changes of Water Turbidity in Yellow River Estuary, China

Wang

Shen

et al. 2019

JGR Oceans

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Water turbidity is an important indicator for water security and environmental security in the Yellow River estuary. However, due to the complex terrain and harsh climatic environment, it is difficult to monitor the water turbidity over the complex surface of the estuary. In this study we applied a self‐organizing map clustering method, an artificial neural network clustering method, to extract turbidity patterns from the long‐term remote sensing data sets in the Yellow River estuary. Based on the Moderate Resolution Imaging Spectroradiometer data from 2000 to 2015, six turbidity patterns were identified by using the self‐organizing map clustering method: high turbidity pattern, moderate turbidity pattern, low turbidity pattern, very low turbidity pattern, extreme high turbidity pattern and sea ice pattern, and the first four patterns appear every year. All patterns have significant seasonal characteristics, and monthly turbidity is dominated by one of these turbidity patterns. The water turbidity in the estuary has decreased in the past 16 years, and the interannual variation of the turbidity pattern is the result of the combination of the sediment transported into the sea by the Yellow River and the wind and waves on the sea surface.

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Remote sensing and water quality indicators in the Korean West coast: Spatio-temporal structures of MODIS-derived chlorophyll-a and total suspended solids

Cited by 73 publications

References 53 publications

Investigating Rainstorm Disturbance on Suspended Substance in Coastal Coral Reef Water Based on MODIS Imagery and Field Measurements

Investigating Rainstorm Disturbance on Suspended Substance in Coastal Coral Reef Water Based on MODIS Imagery and Field Measurements

Identification of Suitability Agriculture Landuse and Water Contamination Level as Agricultural Intensification Effect in Upstream of Brantas Watershed, Batu

Application of Remote Sensing to Identify and Monitor Seasonal and Interannual Changes of Water Turbidity in Yellow River Estuary, China

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