Identification of seasonal variation of water turbidity using NDTI method in Panchet Hill Dam, India

Bid, Sumanta; Siddique, Giyasuddin

doi:10.1007/s40808-019-00609-8

Cited by 33 publications

(24 citation statements)

References 36 publications

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“…Contrary to general belief, the water is more turbid during monsoon season, 11 it was found to be opposite in the present study, with the mean turbidity level in pre-monsoon samples (0.62±0.14) and monsoon samples (0.51±0.11). But it was still within the normal limits in comparison to the quality of water which was more favorable in pre-monsoon season than in post-monsoon season in the study carried out in Visakhapatnam.…”

Section: Discussioncontrasting

confidence: 99%

Physical, chemical and microbiological analysis of bottled water in Pokhara, Nepal

Maskey¹,

Annavarapu²,

Prasai³

et al. 2020

JCMC

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Background: Today possibility of rendering water non-potable by various types of contaminants (physical, chemical and biological) is of considerable importance. It is not only the microbial contaminants but also the physical and chemical contaminants, playing an important role in compromising our health in many ways. The aim of this study was to assess the physical, chemical and the microbiological quality of commercially produced bottled water in Pokhara city. Methods: A study was conducted to assess the quality of bottled drinking water produced in Pokhara city. Total of 21 brands of bottled water was collected, first batch in monsoon season and second batch in pre-monsoon season, from the market. The physical, chemical and microbial assessment was carried out as per National Drinking Water Quality Standards, 2062. Coefficient of variation and t-test were applied where applicable. Results: Better water quality was found in Pre-monsoon season than that of monsoon season, in regard to microbial assessment. None of the samples in first batch tested positive for coliform whereas in second batch 38.2% of samples tested positive for coliform. Coefficient of variation for pH and chloride content was, 8.9% and 6.1%, 35.6% and24.19%, in pre-monsoon and monsoon season respectively. Both were found to be statistically significant. While other tested parameters were within normal limits. Conclusions: The quality bottled drinking water available for sale do not meet the standards given by National Drinking Water Quality Standards, particularly the microbial quality.

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Section: Discussioncontrasting

confidence: 99%

Physical, chemical and microbiological analysis of bottled water in Pokhara, Nepal

Maskey¹,

Annavarapu²,

Prasai³

et al. 2020

JCMC

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“…Permasalahan sedimentasi merupakan masalah yang sangat penting untuk segera ditangani di suatu waduk [9]. Sedimentasi dapat mengurangi kapasitas tampungan suatu waduk [10], [11] dan memengaruhi kondisi kualitas air [12], [13].…”

Section: Pendahuluanunclassified

“…Kekeruhan merupakan ukuran hamburan cahaya yang masuk ke dalam suatu obyek perairan yang dipengaruhi oleh kandungan material terlarut dalam air [28]. Identifikasi hasil sedimentasi pada suatu perairan dapat dilakukan dengan menggunakan Normalized Difference Turbidity Index (NDTI) yang merupakan rasio antara pantulan band merah dan spektrum hijau untuk analisis tingkat kekeruhan perairan di suatu waduk [9], [27]. Pantulan spektral yang berasal dari obyek air keruh akan menyerupai kenampakan obyek lahan terbuka [29], [30].…”

Section: Pendahuluanunclassified

“…Pantulan spektral yang berasal dari obyek air keruh akan menyerupai kenampakan obyek lahan terbuka [29], [30]. Data satelit Landsat dapat digunakan secara efektif untuk identifikasi dan analisis tingkat kekeruhan di perairan [9], [28], [31].…”

Section: Pendahuluanunclassified

“…dengan keterangan: NDTI adalah indeks kekeruhan; Red adalah band merah pada citra Landsat 8 OLI; Green adalah spektrum hijau pada citra Landat 8 OLI. Semakin besar indeks NDTI, maka semakin keruh suatu obyek perairan [9]. Deteksi perubahan dilakukan untuk mengetahui dinamika perubahan kondisi kekeruhan di waduk Sutami.…”

Section: Pengolahan Dan Analisis Dataunclassified

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Analisis Dinamika Tingkat Kekeruhan Dan Kedalaman Relatif Perairan Di Waduk Sutami Kabupaten Malang

Rusydi

Masitoh²

2021

jfmr

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Penurunan fungsi waduk Sutami yang berupa sedimentasi intensif dalam kurun waktu 2013-2019 perlu dilakukan upaya identifikasi dan monitoring. Upaya ini dilakukan dengan memanfaatkan teknologi penginderaan jauh yang bertujuan untuk menganalisis dinamika sedimentasi perairan berdasarkan kedalaman relatif air dan tingkat kekeruhan air di waduk Sutami pada musim kemarau tahun 2013-2019. Citra satelit Landsat 8 OLI diolah untuk mendapat nilai Relative Water Depth (RWD) dan Normalized Difference Turbidity Index (NDTI). Hasil penelitian menunjukkan bahwa pada tahun 2013 hingga tahun 2019, kenampakan air keruh cenderung teridentifikasi di bagian timur waduk yang juga merupakan inlet waduk Sutami. Analisis kedalaman relatif air dilakukan untuk mengetahui dampak sedimentasi terhadap perubahan kedalaman perairan. Tingkat kekeruhan dan kedalaman relatif perairan tidak berhubungan langsung yang kuat secara statistik. Semakin keruh suatu perairan, maka belum tentu kedalaman relatif pada perairan tersebut menjadi semakin dangkal. Proses sedimentasi perairan di waduk Sutami yang terjadi pada tahun 2013-2019 menunjukkan bahwa proses tersebut dipengaruhi oleh tingkat kekeruhan.

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Hydrological Change Detection Mapping and Monitoring of Ramganga Reservoir, Pauri Gharwal, Uttarakhand, Using Geospatial Technique

Rawat

Pandey

Yadav

et al. 2021

Geospatial Technologies for Land and Water Resources Management

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Wetlands serve an essential role in conserving the ecological balance of both biotic and abiotic lives in both inland and coastal environments. Hence, understanding their existence and the spatial extent of change in the wetland ecosystem is vital and monitored using remote sensing technology. A study was performed for the Ramganga reservoir, located in Uttarakhand, India, one of the important wetlands in Uttarakhand that comes under Ramsar sites with many bird species and is rich in biodiversity. The present study modeled the spatiotemporal changes of the reservoir using the multi-temporal Landsat TM (1992, 2000, and 2010) and Landsat OLI-TIRS (2020) imageries. While performing spatiotemporal analysis, the applicability of various satellite-derived indexes such as the Normalized Difference Water Index (NDWI), Modified NDWI (MNDWI), Normalized Difference Vegetation Index (NDVI), and Normalized Difference Turbidity Index (NDTI) has been employed for retrieval of wetland elements including the wetland extent boundary, water-spread area, aquatic vegetation, and turbidity level of the reservoir during preand post-monsoon seasons by using remote sensing and hierarchical decision tree algorithm. In the post-monsoon season, the minimum and maximum water-spread areas were 59.98 km 2 in 1992 and 74.30 km 2 in 2010, respectively. Similarly, in the pre-monsoon season, the reservoir had a minimum, and the maximum water-spread area was 28.697 km 2 in 2010 and 58.536 km 2 in 2020, respectively. The total aquatic vegetation of wetland was increased from 3.41 to 4.14 km 2 in the years 1992 and 2020 during post-monsoon. Throughout the study period, the medium turbidity level in the reservoir was observed to be less than 1 km 2 . The result indicates that these different satellite-derived spectral indices are less time-consuming and provide more accurate mapping and wetlands monitoring. This requires constant monitoring of the

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Identification of seasonal variation of water turbidity using NDTI method in Panchet Hill Dam, India

Cited by 33 publications

References 36 publications

Physical, chemical and microbiological analysis of bottled water in Pokhara, Nepal

Physical, chemical and microbiological analysis of bottled water in Pokhara, Nepal

Analisis Dinamika Tingkat Kekeruhan Dan Kedalaman Relatif Perairan Di Waduk Sutami Kabupaten Malang

Hydrological Change Detection Mapping and Monitoring of Ramganga Reservoir, Pauri Gharwal, Uttarakhand, Using Geospatial Technique

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