Distribution and Habitat Status of Ganges River Dolphin (Platanista gangetica) in Mohana River Segment of Western Nepal

2019 ◽  
Vol 24 (2) ◽  
pp. 58-67
Author(s):  
Sunil Khatiwada ◽  
Mukesh K. Chalise ◽  
Shailendra Sharma

 An endangered species of Ganges River dolphin (Platanista gangetica) in Mohana River and its population status was reported employing synchronized point count. The physicochemical parameters of water were determined using pseudo-random water sampling along various segments of the river. Mean sighting rate during monsoon, 2018 and pre-monsoon, 2016 were one dolphin per 1.355 km and 1.65 km, respectively, with a clumped distribution. Physico-chemical parameters test showed that Mohana River was slightly alkaline with high turbidity and low vulnerability to an acid deposition with a high amount of total phosphorous, indicating a high eutrophication productivity range for both seasons. Water quality is not significantly different during the study period, and the aquatic parameter showed that agricultural activities along the river may have an influence on water quality.

2014 ◽  
Vol 8 (3) ◽  
pp. 8-14
Author(s):  
LN Gupta ◽  
Ram Avtar ◽  
Ameerjeet Singh ◽  
Pankaj Kumar ◽  
Emmanuel Mutisya ◽  
...  

Considering Ganga River as one of main Holy River in India, millions of people throng to the river to have a holy dip, Aachman (Mouthful of holy water) and cleanse themselves of sins. Magh Mela is a great festival to take place in bank of Triveni (Sangam) at Allahabad and runs more than one and half month, when millions of pilgrims from different regions in India go there for taking a holy bath in Sangam of Ganga. Thus, the bathing in the river during Magh Mela leads to high pollution of the river in comparison to other days such as normal bathing days. This study focused on the water quality status from some selected physico-chemical parameters of River Ganges and the impact of Magh Mela as well as the variation in the river’s flow rate. Results indicate that the pollution load was alarmingly high and the flow of the Ganga had been very poor. Further, the study found that the water was not fit for bathing during the 2012 Magh Mela. DOI: http://dx.doi.org/10.3126/ijls.v8i3.9303 International Journal of Life Sciences Vol.8(3): 2014: 8-14


2019 ◽  
Vol 21 (2) ◽  
pp. 437-453
Author(s):  
Elna Lucilia Santos Corrêa ◽  
Karina Suzana Feitosa Pinheiro ◽  
Cláudio José Da Silva de Sousa ◽  
Luiz Jorge Bezerra da Silva Dias

O Brasil apresenta grande disponibilidade de água doce em seus mananciais. Fazendo parte desse recurso encontra-se, o rio Paciência, localizado na Ilha do Maranhão destacado pela sua importância local, principalmente por contribuir com suas águas para recarga dos mananciais subterrâneos, fonte de abastecimento público de vários bairros de São Luís, capital do estado. No entanto, este rio vem sofrendo comprometimento da qualidade de suas águas, consequência do processo de uso e ocupação dos espaços em sua bacia. Destacando-se como um dos principais problemas relacionados a qualidade de ambientes fluviais,  a eutrofização, que consiste no processo em que o corpo d’água adquire elevados níveis de nutrientes (fosfatos e nitratos), é um indicador determinante da qualidade da água. Neste sentido, o objetivo deste trabalho foi caracterizar a qualidade da água e do estado trófico na bacia hidrográfica do rio Paciência atráves dos parâmetros fisico-químico evidenciando os trechos mais comprometidos conforme os valores alcançados nas análises. Os resultados das análises foram comparados com a CONAMA No. 357/05 que indicaram uma situação preocupante quanto à qualidade da água no local de estudo.Palavras-chave: Qualidade de água; Eutrofização; Ilha do Maranhão. ABSTRACTThe Brazil has great availability of fresh water in its springs. Within these contexts, the Paciência River, located on the Island of Maranhão stands out for its local importance, mainly for contributing its waters to the recharge of the underground springs, source of public supply of several districts of São Luís, capital of the state. However, this river has been compromising the quality of its waters, a consequence of the process of use and occupation of the spaces in its basin. Highlighting as one of the main problems related to the quality of fluvial environments, eutrophication, which consists of the process in which the body of water acquires high levels of nutrients (phosphates and nitrates), is a determinant indicator of water quality. In this sense, the objective of this work was to characterize the water quality and trophic status in the Paciência river basin through the physico-chemical parameters, showing the most compromised stretches according to the values reached in the analyzes. The results of the analyzes were compared with CONAMA No. 357/05 which indicated a worrying situation regarding the quality of the water at the place of study.Keywords: Water quality; Eutrophication; Island of Maranhão. RESUMENBrasil tiene gran disponibilidad de agua dulce en sus manantiales. Parte de este recurso es el río Paciencia, ubicado en la isla de Maranhão, que destaca por su importancia local, principalmente porque contribuye con sus aguas a recargar las fuentes subterráneas, fuente de suministro público de varios barrios de São Luís, capital del estado. Sin embargo, este río se ha visto afectado por la calidad de sus aguas, como consecuencia del proceso de uso y ocupación de los espacios en su cuenca. Destacando como uno de los principales problemas relacionados con la calidad de los ambientes fluviales, la eutrofización, que consiste en el proceso en el que el cuerpo de agua adquiere altos niveles de nutrientes (fosfatos y nitratos), es un indicador determinante de la calidad del agua. En este sentido, el objetivo de este trabajo fue caracterizar la calidad del agua y el estado trófico en la cuenca del río Paciência a través de los parámetros fisicoquímicos, mostrando las secciones más comprometidas de acuerdo con los valores alcanzados en los análisis. Los resultados de los análisis se compararon con CONAMA N°. 357/05, que indicó una situación preocupante con respecto a la calidad del agua en el sitio de estudio.Palabras clave: Calidad del agua; Eutrofización, Isla Maranhão.


2011 ◽  
Vol 17 (1) ◽  
pp. 107-115 ◽  
Author(s):  
Nada Babovic ◽  
Dejan Markovic ◽  
Vojkan Dimitrijevic ◽  
Dragan Markovic

This paper shows the results obtained in field analysis performed at the Tamis River, starting from the settlement Jasa Tomic - border between Serbia and Romania to Pancevo - confluence of Tamis into the Danube. The Tamis is a 359 km long river rising in the southern Carpathian Mountains. It flows through the Banat region and flows into the Danube near Pancevo. During the years the water quality of the river has severely deteriorated and badly affected the environment and the river ecosystem. In situ measurements enabled determination of physico-chemical parameters of water quality of the Tamis River on every 400 m of the watercourse, such as: water temperature, pH value, electrical conductivity, contents of dissolved oxygen and oxygen saturation. The main reason of higher pollution of Tamis is seen in connection to DTD hydro system. Sampling was performed at 7 points with regard to color, turbidity, total hardness, alkalinity, concentration of ammonium nitrogen, nitrite nitrogen, nitrate nitrogen, iron, chlorides and sulphates in samples. The aim of the present work was to evaluate water quality in the Tamis River taking into account significant pollution, which originates from settlements, industry and agriculture, and to suggest appropriate preventive measures to further pollution decreasing of the river's water.


2016 ◽  
Vol 3 (2) ◽  
pp. 67-72
Author(s):  
Md Tajul Islam ◽  
M Mahfuzur Rahman ◽  
Hassan Mahmud

Water quality assessment has been carried out in the Hakaluki Haor of greater Sylhet district during May, 2013 to February, 2014. Water samples were collected from 5 spots during 4 seasons and a total of 15 physico-chemical parameters were studied. Significant seasonal variation was observed in all seasons among physico-chemical parameters. pH values varied from 5.9 - 7.1, water temperature varied from 23.7 – 26.7OC, transference varied from 23-53 cm, TSS varied from 18.1-192 mg/l, TDS varied 25-193.5 mg/l, EC varied from 30-680 ?s/cm , DO content of water varied from 4.6 - 5.6mg/l, BOD varied from 0.2-2.614 mg/l, COD varied from 38-312 mg/l, NO3-N varied from 0.1-30.4 mg/l, NH3 varied from 0.9-2.18 mg/l, alkalinity varied from 12-42 mg/l and PO4 varied from 0.9 -13.4 (mg/l). Agricultural and inorganic pollutants have been observed as the main causes of the Haor water pollution.Jahangirnagar University J. Biol. Sci. 3(2): 67-72, 2014 (December)


2014 ◽  
Vol 10 (1) ◽  
Author(s):  
Lieza Corsita ◽  
Arwin Arwin ◽  
Barti Setiani Muntalif ◽  
Indah Rachmatiah Salami

Physico-chemistry and biological data were investigated  from  October 2010 until April 2011 of Jatiluhur reservoir. A total of six sampling stations were selected for this study. The discharge and hidrological data were obtained from Perum Jasa Tirta II Jatiluhur. The results showed that the hydrological regime in the reservoir Jatiluhur was affected by global phenomenon La Nina events in 2010 and early in 2011. Stream flows were determined during sampling to range from 78  to 482.5 m3/s. The water quality findings were as follows: pH (6.93-8.81), temperature (26.37-30.6°C), dissolved oxygen (0.733-5.2 mg/l), conductivity (2.45-233µmhos/cm), COD (7.36-96.9 mg/l), turbidity (4.063-65.6 NTU), total phosphate (0.002-0.324 mg/l), total nitrogen (0.99-5.96 mg/l), chlorophyl (2.237-43.37 mg/m3), visibility (30-160 cm). The eutrophication was pronounced at Jatiluhur reservoir. Canonical Correspendence Analysis found that some water quality parameters correlated positively with the discharge and the water level.


2017 ◽  
Vol 7 (1) ◽  
pp. 47-57
Author(s):  
Ganesh Bahadur Thapa ◽  
Joydeb Pal

Tarahara Fish Farm includes 37 large ponds as a fish super zone. Physicochemical parameters viz., air and water temperature, pH, DO, BOD, CO2, Cl-, TA and TH of these ponds were studied for two years (Nov. 2008 to Oct. 2010). The air temperature had positive and significant correlation with water temperature (r=0.893, P<0.01) but inverse and significant correlation with DO (r = - 0.669 P<0.05) and TH (r = - 0.673, P<0.05). Both air and water temperature showed a decreasing trend during the winter months of November to January and again September to October in both years. Similarly, positive and significant correlation showed by pH with DO (r =0.660, P<0.05) and BOD (r =0.846, P<0.05); by free CO2 with DO (r=0.854, P<0.01), chloride (r=0.648, P<0.05) and TA (r=0.616, P<0.05); by DO with TA (r =0.715, P<0.01) and chloride (r =0.625, P<0.05) and by TH with TA (r= 0.592, P<0.05) but inverse and significant correlation showed by pH with water temperature (r =-0.671, P<0.05); by free CO2 with BOD (r=-0.627, P<0.05) and by DO with BOD (r = -0.810, P <0.01). The water quality parameters were within suitable range for the fish growth and breeding with small fluctuations in different months during the first and second years. Physico-chemical parameters significantly (P<0.01; 0.05) differed between different months. However, no mass mortality of fish was recorded from this site. So, the area selected as fish super zone is fruitful to meet the expected production level of fishes and fish seeds in peripheral areas.


2021 ◽  
Vol 297 ◽  
pp. 01059
Author(s):  
Saloua Senhaji ◽  
Mohamed Hamlich ◽  
Mohammed Ouazzani Jamil

Access to safe drinking water is one of the most pressing issues facing many developing countries. Water must meet Environmental Protection Agency (E.P.A.) requirements. The normal method of measuring physico-chemical parameters is to take samples manually and send them to the laboratory to check the water quality. In this paper, we proposed a new intelligent design of a real-time water quality monitoring system using Deep Learning technology. This system is composed of several sensors that allow us to measure water parameters (physico-chemical parameters), bacteriological parameters and organoleptic parameters) and to detect the presence of certain substances (undesirable substances, toxic substances) and of a single-board/mobile computer module, Internet and other accessories. Water parameters are automatically detected by the single-board computer. Raspberry Pi3 model B. The single board computer receives the data from the sensors and this data is sent to the web server using the Internet module. It is able to detect the water quality situation worldwide. The data will be analysed in real time. The application of deep learning to these areas has been an important research topic. The Long-Short Term Memory (LSTM) network has been shown to be well suited for processing and predicting large events with long intervals and delays in the time series. LSTM networks have the ability to retain long-term memory.


2019 ◽  
Vol 15 (1) ◽  
pp. 54-60 ◽  
Author(s):  
Isa Baba Koki ◽  
Sharifuddin Md Zain ◽  
Low Kah Hin ◽  
Azman Azid ◽  
Hafizan Juahir ◽  
...  

In this paper, a study on the development  of water quality index of ex-mining ponds was carried out for proper assessment  and utilization of the abundant ex-mining ponds in Malaysia. Heavy metals were analyzed using inductively coupled plasma mass spectrophotometer (ICPMS), and physico chemical parameters were analyzed in-situ. Chemometric analysis was successfully applied for the parameter selection process. The water quality index of existing Malaysian river did not accommodate the toxic metal pollutants that dominanted in ex-mining water. The acceptable index should therefore incorporate the metal pollutants in order to evaluate the quality status of ex-mining water for human consumption which is the major point of consideration. Two water quality indices were developed to assess the water quality status of ex-mining ponds with reference to Malaysia’s water quality standard (INWQS). The heavy metal index was comprised of contribution from Pb, As, and Cd as the selected metals, while the physico-chemical parameter index has BOD, pH, DO, and AN. Chemometric analysis revealed the dominance of the selected heavy metals in ex-mining water, and physico-chemical parameters were important in water quality monitoring. Heavy metal water quality index revealed that most ex-mining ponds in Klang Valley were classified to be very poor hence could not be used for human consumption. Due to domestic input in some of the lakes in Klang Valley, the physico-chemical water quality index was in very poor status as well.  In Melaka and Negeri Sembilan, ex-mining ponds and lakes were classified as excellent in both indices.    


2013 ◽  
Vol 13 (6) ◽  
pp. 474-482 ◽  
Author(s):  
Akmal Mahazar ◽  
Mohammad Shuhaimi-O ◽  
Ahmad Abas Kutty ◽  
Mohamed Nor Mohamed De

Sign in / Sign up

Export Citation Format

Share Document