Water quality assessment using water quality index and geographical information system methods in the coastal waters of Andaman Sea, India

Jha, Dilip Kumar; Devi, M. Prashanthi; Rajendran, Vidyalakshmi; Brindha, Balan; Vinithkumar, Nambali Valsalan; Kirubagaran, R.

doi:10.1016/j.marpolbul.2015.08.032

Cited by 85 publications

(39 citation statements)

References 24 publications

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“…Some parts have excellent water medium and some have poor quality. Higher coastal water quality index was perceived in open sea [24]. From commercial point of view, Marine fisheries of these Islands tender high demand in export.…”

Section: Study Areamentioning

confidence: 94%

A Report on the Recruitments of Alopias Pelagicus and Alopias Superciliosus in the Andaman Sea

Das¹,

Sinha²,

Bhargava³

et al. 2016

JAMB

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The reproductive biology of commercially important Alopias superciliosus and Alopias pelagicus bears great importance. The present study reports the gravid females from the Andaman Sea for the first time. Parturient sharks have been rarely observed in the wild, with very sparse data regarding the reproductive strategies of most oceanic species from Andaman and Nicobar waters. During this study, from the uterine cavity of Alopias superciliosus and Alopias pelagicus, two pups each were recovered alive. Total Length (TL) of gravid Alopias superciliosus and Alopias pelagicus measured to be 353 cm and 286 cm, weighing 145 kg and 65 kg respectively. Both the gravid sharks bore male and female embryos in right and left uterus. The embryos found in Alopias superciliosus measured 140 cm (male) and 143 cm (female) in TL, whereas the embryos found in Alopias pelagicus measured 120 cm (male) and 122 cm (female). The present study estimated the gestation period for 9 months in Alopias pelagicus as well as in Alopias superciliosus. Though further investigation are required to confirm various reproductive informations such as delayed or late maturity, synchronous reproductive cycle and low biological productivity however this study confirms only two embryos per uterus.Keywords: Gravid; Litter; Embryos; Viviparous; Oophagus; Alopias superciliosus; Alopias pelagicusCitation: Das P, Sinha MK, Bhargava AK, Singh P, Sahu KC, et al. (2016) A Report on the Recruitments of Alopias pelagicus and Alopias superciliosus in the Andaman Sea.

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Section: Study Areamentioning

confidence: 94%

A Report on the Recruitments of Alopias Pelagicus and Alopias Superciliosus in the Andaman Sea

Das¹,

Sinha²,

Bhargava³

et al. 2016

JAMB

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“…Indeks Kualitas Perairan (Water Quality Index/ WQI) merupakan sebuah nilai matematis tanpa satuan yang mengkombinasikan berbagai variabel/parameter kualitas air menjadi satu nilai melalui proses normalisasi dan pembobotan terhadap nilai-nilai parameter yang memiliki satuan yang berbeda-beda (Simões et al, 2008;Jha et al, 2015). Berbagai WQI telah dikembangkan dan digunakan untuk menganalisis berbagai fenomena perairan, antara lain bioassessment, kondisi habitat perairan, dampak aktivitas pertanian terhadap perairan, kondisi ekologi perairan, serta seleksi variabel untuk memantau kondisi perairan (Effendi et al, 2015;Whittaker et al, 2014).…”

Section: Pendahuluanunclassified

“…Oleh karena itu, selanjutnya dilakukan pengecekan di mana, n adalah jumlah total parameter kualitas perairan, Ci adalah nilai yang diberikan untuk tiap parameter setelah proses normalisasi (0 -100), dan Pi adalah bobot relatif yang diberikan untuk tiap parameter dengan nilai antara 1 -4. Berdasarkan nilai kalkulasi WQI, selanjutnya kualitas perairan dapat diklasifikasikan menjadi lima kelas, yaitu: sangat baik (level I: 91 -100), baik (level II: 71 -90), sedang (level III: 51 -70), buruk (level IV: 26 -50), dan sangat buruk (level V: 0 -25) (Pesce & Wunderlin, 2000;Kannel et al, 2007;Sanchez et al, 2007;Jha et al, 2015).…”

Section: Hasil Dan Pembahasanunclassified

Seleksi Parameter Pembentuk Indeks Kualitas Perairan untuk Pengembangan Budidaya Laut: Studi Kasus Perairan Teluk Sinabang, Aceh

Erlania

Radiarta²,

Haryadi

2017

segara

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Indeks Kualitas Perairan (Water Quality Indices/WQI) telah dikembangkan dan digunakan untuk menganalisis dan menginterpreasikan kondisi perairan, namun implementasi secara spesifik pada budidaya laut masih belum banyak dilakukan. Penelitian ini bertujuan untuk menganalisis parameter penting pembentuk WQI dalam penentuan kesesuaian perairan untuk pengembangan budidaya laut di perairan Teluk Sinabang, Aceh. Nilai pengukuran parameter kualitas perairan yang terkumpul sebanyak 63 titik pengamatan untuk data in situ, dalam proses analisis statistik direduksi menjadi 20 titik pengamatan berdasarkan jumlah data ek situ. Parameter yang diukur meliputi suhu, pH, DO, TDS, konduktivitas, BOD, N total, nitrat, nitrit, amonium, P total, dan ortofosfat. Penghitungan nilai WQI dilakukan dengan tiga pendekatan, yaitu: (1) berdasarkan seluruh parameter (WQIobj); (2) parameter hasil seleksi menggunakan principal component analysis/PCA (WQImin-x); dan (3) parameter kunci yang dipilih menurut kebutuhan aktivitas budidaya laut secara umum (WQImin-aq). Hasil penelitian menunjukkan bahwa nilai WQImin yangpaling mendekati nilai WQIobj (72,67) adalah WQImin-2 (69,75) dan diikuti oleh WQImin-aq (60,19).Hal inimenunjukkan bahwa parameter yang membangun WQImin-2 dan WQImin-aq sudah cukup mewakili untuk menggambarkan kondisi perairan Teluk Sinabang. Kedua nilai WQImin yang diperoleh berdasarkan beberapa parameterterseleksi mengindikasikan bahwa nilai tersebut secara umum dapat digunakan untuk mengetahui kelayakan suatu perairan untuk pengembangan budidaya laut. Kondisi perairan Teluk Sinabang tergolong baik (level II) berdasarkan nilai WQIobj dan sedang (level III) berdasarkan kedua WQImin, yang mengindikasikan bahwa aktivitas budidaya masih dapat dilakukan pada perairan tersebut dengan memperhatikan aspek kelestarian lingkungan perairan.

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“…It becomes an important parameter for the assessment and management of groundwater [37]- [40]. The WQI concept is related to the comparison of the water quality parameter with respective regulatory standards (WHO standards) and provides a single number that express overall water quality at certain location based on several water quality parameters [37]- [42].…”

Section: Groundwater Quality Indexmentioning

confidence: 99%

Groundwater Quality Evaluation Using GIS Based Geostatistical Algorithms

Gharbia¹,

Gharbia²,

Abushbak³

et al. 2016

GEP

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Groundwater quality is a major environmental aspect which needs to be analyzed and managed depending on its spatial distribution. Utilization of insufficient management of groundwater resources in Gaza Strip, Palestine, produces not only a reduction in quantity but also deterioration in quality of groundwater. The aim of this study is to provide an overview for evaluation of groundwater quality in the Gaza Strip area as a case study for applying spatially distributed by using Geographic Information System (GIS) and geostatistical algorithms. The groundwater quality parameters, pH, total dissolved solids, total hardness, alkalinity, chloride, nitrate, sulfate, calcium, magnesium, and fluoride, were sampled and analyzed from the existing municipal and agricultural wells in Gaza Strip; maps of each parameter were created using geostatistical (Kriging) approach. Experimental semivariogram values were tested for different ordinary Kriging models to identify the best fitted for the ten water quality parameters and the best models were selected on the basis of mean square error (MSE), root mean square error (RMSE), average standard error (ASE), and root mean square standardized error (RMSSE). Maps of 10 groundwater quality parameters were used to calculate the groundwater quality index (GWQI) map using the index method. In general, the results showed that this integrated method is a sufficient assessment tool for environmental spatially distributed parameters.

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Water quality assessment using water quality index and geographical information system methods in the coastal waters of Andaman Sea, India

Cited by 85 publications

References 24 publications

A Report on the Recruitments of Alopias Pelagicus and Alopias Superciliosus in the Andaman Sea

A Report on the Recruitments of Alopias Pelagicus and Alopias Superciliosus in the Andaman Sea

Seleksi Parameter Pembentuk Indeks Kualitas Perairan untuk Pengembangan Budidaya Laut: Studi Kasus Perairan Teluk Sinabang, Aceh

Groundwater Quality Evaluation Using GIS Based Geostatistical Algorithms

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