COMBINED EFFECT OF WIND SPEED AND COVERING IRRIGATION CANALS ON WATER QUALITY PARAMETERS

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Sherine Ahmed El Baradei ◽  
Mai Alsadeq
Keyword(s):  
Water Quality ◽  
Wind Speed ◽  
Considerable Effect ◽  
Quality Parameters ◽  
Combined Effect ◽  
Water Quality Parameters ◽  
Maximum Increase ◽  
Water Parameters

Wind has a considerable effect on many water quality parameters. Some of the parameters are directly affected by the wind, while others are influenced by other physical water parameters like the velocity, temperature. etc. that are affected by wind and hence transfer their effect to water quality parameters. As the wind has an effect on water quality parameters, also covering waterways has a great effect on the water quality of those covered waterways. This is because covering a waterway alters the concentrations of its water quality parameters. This research is concerned with studying the combined effect of wind and covering of canals on different water quality parameters. The main Sheikh Zayed canal of the New Valley project in Toshka governorate in Egypt is taken as case study. Water quality parameters studied are dissolved oxygen concentration (DO) and total dissolved solids (TDS). Mathematical model was developed in order to carry on the simulation. After simulating the effect of wind and covering on these two water quality parameters it was found that the studied water quality parameters concentrations increased as the wind is gradually increased. Thus, TDS and DO showed maximum increase with increased wind speed and with uncovered canal area. TDS showed the max increase; namely 16%.

scholarly journals Investigation of surface water quality of the Buriganga river in Bangladesh: Laboratory and spatial analysis approaches

2019 ◽  
Vol 28 (2) ◽  
pp. 147-158
Author(s):  
Mohammad Saiful Islam ◽  
Romana Afroz ◽  
Md Bodruddoza Mia
Keyword(s):  
Heavy Metals ◽  
Water Quality ◽  
Quality Standard ◽  
Quality Parameters ◽  
Average Concentration ◽  
Water Quality Parameters ◽  
Economic Implications ◽  
Permissible Limits ◽  
Buriganga River

This work has been conducted to evaluate the water quality of the Buriganga river. In situ water quality parameters and water samples were collected from 10 locations in January 2016 and analyzed later in laboratory for water quality parameters such as pH, Eh, EC, TDS, cations (Na+, K+, Ca2+, Mg2, As3+), anions (Cl-, HCO3-, NO2-, NO3-, SO42-, F-, Br-, PO43-), heavy metals (Cr2+, Pb2+, Zn2+, Cd+2, Fe2+, Mn2+) to see whether or not the level of these parameters are within the permissible limits. The average values of pH, Eh, EC and temperature were 7.31, –214.9 mV, 928.9 μs/cm and 21.4°C, respectively; the average concentration of Na+, K+, Ca2+, Mg2+, and As3+ were 109.62, 13.38, 46.78, 13.98 and 0.018 mg/l, respectively, while the concentrations of Cl-,HCO3-, PO43-, SO42-, NO3-, NO2-, F and Br -were 79, 331.06, 2.22, 84.32, 0.0254, 0.058, 0.224 and 0.073 mg/l, respectively; and the concentration of heavy metals Pb2+, Zn2+, Fe2+ and Mn2+were 0.28, 0.053, 0.17 and 0.23 mg/l, respectively. The study indicates that most of the parameters are within the permissible limits set by Bangladesh water quality standard. The concentrations of K+, Mn2+, and Pb2+ were beyond the permissible limits meaning that that the water of Buriganga is not safe for drinking. The people living beside Buriganga river should be more cautious about using the polluted/contaminated river water. The concerned authorities should take urgent necessary steps to improve the degraded water quality of the river considering the ecological, environmental and economic implications associated with it. Dhaka Univ. J. Biol. Sci. 28(2): 147-158, 2019 (July)

Behavioural Response Analysis Using Vision Engineering (BRAVENet)

2017 ◽  
Vol 21 (2) ◽  
pp. 211-220 ◽  
Author(s):  
Reggie C. Gustilo ◽  
◽  
Elmer P. Dadios ◽  
Keyword(s):  
Water Quality ◽  
Support System ◽  
Quality Parameters ◽  
Behavioural Response ◽  
Water Quality Parameters ◽  
Small Scale ◽  
Response Analysis ◽  
Water Parameters ◽  
Water Conditions ◽  
The Status

A new engineering methodology is proposed to improve the automation process in monitoring the water quality in a small scale aquaculture system. Behavioural Response Analysis using Vision Engineering Network or BRAVENet is proposed, as a support system to a traditional sensor-based system, to monitor critical water quality parameters such as temperature, pH, salinity and dissolved oxygen. BRAVENet is based on the reactions or behavioural responses of tiger prawns to different water conditions. The performance of both the sensor-based system and BRAVENet are analysed and discussed. It is shown that the BRAVENet can identify unsafe levels of water parameters and is a good monitoring and prediction tool for water conditions especially those instances when industry grade sensors fail or become erroneous. Promising results show that BRAVENet can be used as a support system, if not as a replacement, in continuously monitoring the status of the critical water quality parameters of aquaculture systems.

Prediction of Water Quality Parameters Using ANFIS Optimized by Intelligence Algorithms (Case Study: Gorganrood River)

2017 ◽  
Vol 22 (7) ◽  
pp. 2206-2213 ◽  
Author(s):  
Armin Azad ◽  
Hojat Karami ◽  
Saeed Farzin ◽  
Amir Saeedian ◽  
Hamed Kashi ◽  
...  
Keyword(s):  
Water Quality ◽  
Quality Parameters ◽  
Water Quality Parameters

scholarly journals Assessment of Water Quality Parameters of Meghna River Kishoreganj, Bangladesh

2020 ◽  
pp. 29-37
Author(s):  
Romana Rima ◽  
Abdullah Al Ryhan ◽  
Sony Ahmed ◽  
Rafiq Islam ◽  
Sharif Hossain Munshi ◽  
...  
Keyword(s):  
Water Quality ◽  
Winter Season ◽  
Surface Water Quality ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Chemical Parameters ◽  
Potential Threat ◽  
Three Rivers ◽  
The Ganges

The Meghna River is one of the most important rivers in Bangladesh, one of the three rivers, the Ganges delta, and the largest delta in the world in the Bay of Bengal. The water quality of Meghna has become a matter of concern due to serious levels of pollution. The present study was conducted to assess the surface water quality of upstream of the Meghna River using physic-chemical parameters in summer and winter season at five different points. Water quality was evaluated by laboratory analysis considering a total of six water quality parameters, pH, DO, BOD, COD, salinity and TDS and water samples were collected from five stations. The study indicates that some parameters exceed the permissible limit for drinking purpose, it may cause potential threat to the human, but the water of this river is not immediate threat to human or ecosystem.

scholarly journals Keterkaitan antara Kelimpahan Zooplankton dan Parameter Lingkungan di Perairan Pantai Morosari, Kabupaten Demak

2020 ◽  
Vol 9 (2) ◽  
pp. 157-165
Author(s):  
Titik Mariyati ◽  
Hadi Endrawati ◽  
Endang Supriyantini
Keyword(s):  
Water Quality ◽  
Sampling Method ◽  
Diversity Index ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Marine Resources ◽  
Water Parameters ◽  
Purposive Sampling ◽  
Relationship Analysis ◽  
Close Relationship

Zooplankton berperan sebagai konsumen tingkat pertama, yaitu memindahkan energi dari produsen ke konsumen tingkat dua. Zooplankton dapat digunakan sebagai bahan kajian untuk mengetahui kualitas dan kesuburan suatu perairan yang sangat diperlukan untuk mendukung pemanfaatan sumberdaya pesisir dan laut. Perairan Morosari mengalami degradasi akibat rob dan berkurangnya tanaman mangrove Penelitian ini bertujuan untuk mengetahui hubungan parameter kualitas air dengan kelimpahan zooplankton di Perairan Pantai Morosari, Demak. Penelitian menggunakan metode survei dan penentuan lokasi dipilih dengan menggunakan metode purposive sampling, analisis data meliputi kelimpahan, indeks keanekaragaman, keseragaman, dominasi dan analisis hubungan. Hasil penelitian menunjukkan bahwa nilai korelasi parameter kualitas air yaitu 0,799 (DO), 0,928 (suhu), 0,758 (salinitas), -0,019 (pH), -0,318 (arus). Berdasarkan hasil pengamatan parameter kualitas air terutama DO, suhu, dan salinitas mempunyai kaitan yang erat terhadap kelimpahan zooplankton di perairan Pantai Morosari. Zooplankton acts as the first level consumer, i.e. transferring energy from producers to second level consumers, zooplankton can be used as study material to find out the quality and fertility of water that is needed to support the use of coastal and marine resources. This study aims to determine the abundance of zooplankton, the types of zooplankton and the relation of water quality parameters with the abundance of zooplankton in Morosari Coastal Water, Demak. Research using methods of surveying and determining the location was chosen using the purposive sampling method, data analysis includes abundance, diversity index, uniformity, dominance, and relationship analysis. The results showed that correlation value between water parameters and abundance of zooplankton is 0,799 (DO), 0,928 (temperature), 0,758 (salinity), -0,019 (pH), -0,138 (current). Based on the results of the water quality parameters, especially DO, temperature, and salinity have a close relationship to the abundance of zooplankton in the waters of Morosari Beach.

scholarly journals Implementation of Long-Short Term Memory Neural Network (LSTM) for Predicting The Water Quality Parameters in Sungai Selangor

2021 ◽  
Vol 6 (4) ◽  
pp. 40-49
Author(s):  
Nur Natasya Mohd Anuar ◽  
Nur Fatihah Fauzi ◽  
Huda Zuhrah Ab Halim ◽  
Nur Izzati Khairudin ◽  
Nurizatul Syarfinas Ahmad Bakhtiar ◽  
...  
Keyword(s):  
Water Quality ◽  
Short Term Memory ◽  
Oxygen Demand ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Short Term ◽  
Term Memory ◽  
Quality Of Water ◽  
Long Short Term Memory

Predictions of future events must be factored into decision-making. Predictions of water quality are critical to assist authorities in making operational, management, and strategic decisions to keep the quality of water supply monitored under specific criteria. Taking advantage of the good performance of long short-term memory (LSTM) deep neural networks in time-series prediction, the purpose of this paper is to develop and train a Long-Short Term Memory (LSTM) Neural Network to predict water quality parameters in the Selangor River. The primary goal of this study is to predict five (5) water quality parameters in the Selangor River, namely Biochemical Oxygen Demand (BOD), Ammonia Nitrogen (NH3-N), Chemical Oxygen Demand (COD), pH, and Dissolved Oxygen (DO), using secondary data from different monitoring stations along the river basin. The accuracy of this method was then measured using RMSE as the forecast measure. The results show that by using the Power of Hydrogen (pH), the dataset yielded the lowest RMSE value, with a minimum of 0.2106 at station 004 and a maximum of 1.2587 at station 001. The results of the study indicate that the predicted values of the model and the actual values were in good agreement and revealed the future developing trend of water quality parameters, showing the feasibility and effectiveness of using LSTM deep neural networks to predict the quality of water parameters.

scholarly journals Correspondence of zooplankton assemblage and water quality in wetlands of Cachar, Assam, India: Implications for environmental management

2018 ◽  
Vol 18 (1) ◽  
pp. 9-19 ◽  
Author(s):  
Sulata Kar ◽  
Papia Das ◽  
Uma Das ◽  
Maibam Bimola ◽  
Devashish Kar ◽  
...  
Keyword(s):  
Water Quality ◽  
Structural Variation ◽  
Zooplankton Community ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Geographical Regions ◽  
Increasing Trend ◽  
Freshwater Bodies ◽  
Freshwater Habitats

AbstractThe zooplankton assemblage of selected wetlands of Assam, India was assessed to deduce the structural variation in the context of water quality parameters. A two year study between 2012 and 2014 comprising of 530 samples from the five wetlands revealed the presence of 46 taxa, 26 Rotifera, 15 Cladocera, 4 Copepoda and 1 Ostracoda, in varying density. The rotifers dominated in terms of abundance (48 ind. cm−3) followed by the cladocerans (28 ind. cm−3) and the copepods (19 ind. cm−3) and showed significant (p <0.05) correlations with turbidity, alkalinity, hardness and phosphate contents of the water samples. The diversity and the richness of the zooplankton showed an increasing trend with the water temperature. Among the different taxa, Brachionus sp. was most abundant followed by Mesocyclops sp. while Beauchampiella sp. was represented in the least numbers. Application of the cluster analysis allowed the segregation of the different zooplankton based on the similarities of abundance in the samples. The water quality parameters like temperature, alkalinity, turbidity, magnesium and calcium were observed to be significant contributors in shaping the zooplankton community composition of the wetlands, revealed through the correlations and canonical correspondence analysis. As an extension, the information can be used in monitoring the quality of the freshwater habitats of the concerned and similar geographical regions, using the zooplankton as the major constituents. The variations in the abundance of cladoceran, copepod and rotifer zooplanktons can be used to understand the mechanisms that sustain the food webs of the aquatic community of the freshwater bodies.

Effects of Two Types of Landfills on River Water Quality and Endocrine Disruptor Concentrations Before and After Rainfall in a Subtropical Climate

2009 ◽  
Vol 44 (4) ◽  
pp. 355-363 ◽  
Author(s):  
Chia-Wei Lin ◽  
Mei-Hui Li
Keyword(s):  
Water Quality ◽  
River Water ◽  
Quality Parameters ◽  
River Water Quality ◽  
Water Quality Parameters ◽  
Sanitary Landfill ◽  
Garbage Dump ◽  
Before And After ◽  
Dilution Effects

Abstract One closed uncontrolled landfill, the Neihu garbage dump, and one active controlled landfill, the Sanzhuku sanitary landfill, were selected for investigation of their leachate characteristics and effects on adjacent river water quality before and after rainfall in northern Taiwan. A total of seven samplings were made during February and June 2007, with four samplings done after individual rainfall events on study sites. Water quality of runoff samples collected from the Sanzhuku sanitary landfill showed less pollution than the water quality of leachates collected from the Neihu garbage dump; however, some water quality levels of leachate samples collected from the Neihu garbage dump were relatively high, such as ammonia nitrogen (NH3-N), orthophosphate (PO43-) and biochemical oxygen demand (BOD5). At the uncontrolled dump, rainfall lead to dilution effects on river water NH3-N and PO43- concentrations, but not other water quality parameters. In contrast, the concentrations of bisphenol A (BPA) and nonylphenol were increased in both types of landfills after rainfall in the present study. Dilution effects of rainfall on most water quality parameters and toxicity tests were observed in the Neihu garbage dump leachates after rainfall, but not for the Sanzhuku Landfill runoff. The highest concentration of BPA measured in this study was 25.8 μg L-1 in the Sanzhuku sanitary landfill runoff after the heaviest rainfall event, during which 236 mm of rainfall accumulated over four days. The results of this study suggest that both uncontrolled and controlled landfill leachates can be an important potential pollution source of BPA to adjacent water bodies.

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