scholarly journals Microplastic Pollution in Urban Lake Phewa, Nepal: The First Report on Abundance and Composition in Surface Water of Lake in Different Seasons

2021 ◽  
Author(s):  
Rajeshwori Malla-Pradhan ◽  
Thitipone Suwunwong ◽  
Khamphe Phoungthong ◽  
Tista Prasai Joshi ◽  
Bijay Lal Pradhan
Keyword(s):  
Surface Water ◽  
Winter Season ◽  
Average Concentration ◽  
Lake Surface ◽  
Tourist Destination ◽  
Advanced Technique ◽  
Sampling Locations ◽  
Different Seasons ◽  
Freshwater System ◽  
Almost All

Abstract Microplastics are man-made pollutants which have been detected in surface water and groundwater. Research on microplastic concentration in aquatic environment is an emerging field for developing countries. Nepal despite having rich water resources no information regarding microplastic in freshwater system is available. Therefore, this study investigate the presence and abundance of microplastic in lake surface water of Phewa Lake, the second largest lake of the country. A total of 16 sampling locations were selected for surface water sample to cover the area of 5.72 km2. The average concentration of microplastic for surface water was 2.96±1.83 particles/L for winter season and 1.51 ±0.62 particles/L for rainy season. Significance difference in microplastic concentration were observed in two different seasons. Fibers was the commonly found microplastic type in lake water and transparent as the dominant color for the two seasons. Almost all the detected microplastic were found to be <1 mm in size. Polymer identification was not possible due to small size of microplastic and unavailability of advanced technique. Phewa Lake, the heart of Pokhara is an important tourist destination so proper waste disposal plan can only maintain the lake’s beauty from further deterioration.

scholarly journals Quinoa for the Brazilian Cerrado: Agronomic Characteristics of Elite Genotypes under Different Water Regimes

Plants ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 1591
Author(s):  
Patrícia Carvalho da Silva ◽  
Walter Quadros Ribeiro Junior ◽  
Maria Lucrecia Gerosa Ramos ◽  
Sonia Maria Costa Celestino ◽  
Alberto do Nascimento Silva ◽  
...  
Keyword(s):  
Grain Quality ◽  
Winter Season ◽  
Field Conditions ◽  
Water Restriction ◽  
Water Regimes ◽  
Agronomic Characteristics ◽  
Relative Water ◽  
Different Seasons ◽  
The Relationship

Quinoa stands out as an excellent crop in the Cerrado region for cultivation in the off-season or irrigated winter season. Here, we tested the effects of different water regimes on the agronomic characteristics, physiology, and grain quality of different elite quinoa genotypes under field conditions. The experiment was conducted under field conditions at Embrapa Cerrados (Planaltina, DF, Brazil). The experimental design was in randomized blocks, in a split-plot scheme, with four replications. The plots were composed of 18 quinoa genotypes and modified BRS Piabiru (the currently used genotype), and the split-plots were divided into 4 different water regimes. The following variables were evaluated: productivity and productivity per unit of applied water (PUAA), plant height, flavonoids, anthocyanins, gas exchange, chlorophyll, leaf proline, and relative water content. Our results showed that water regimes between 309 and 389 mm can be recommended for quinoa in the Cerrado region. CPAC6 and CPAC13 presented the highest yield and PUAA under high and intermediate WRs, and hence were the most suitable for winter growth under irrigation. CPAC17 is most suitable for off-season growth under rainfed conditions, as it presented the highest PUAA under the low WRs (247 and 150). CPAC9 stood out in terms of accumulation of flavonoids and anthocyanins in all WRs. Physiological analyses revealed different responses of the genotypes to water restriction, together with symptoms of stress under lower water regimes. Our study reinforces the importance of detailed analyses of the relationship between productivity, physiology, and water use when choosing genotypes for planting and harvest in different seasons.

Acid Volatile Sulfide (AVS) and Simultaneously Extracted Metals (SEM) in Surface Sediments of Chaohu Lake, Anhui Province, China

2013 ◽  
Vol 779-780 ◽  
pp. 1213-1219
Author(s):  
Shu Qin Chen ◽  
Lei Zhang ◽  
Zhao Sheng Chu ◽  
She Rong Hu
Keyword(s):  
Surface Sediments ◽  
Local Scale ◽  
Acid Volatile Sulfide ◽  
Anthropogenic Factors ◽  
Chaohu Lake ◽  
Lake Surface ◽  
Different Seasons ◽  
The One ◽  
Short Time ◽  
Spot 5

At present there are few studies on the AVS and SEM in sediments of Chaohu Lake. Most of the previous studies on heavy metals based on the one time, the short-time or a local-scale survey. In this paper, [AVS] and [SEM] in Chaohu Lake surface sediments were studied for different seasons in 2007, 2008 and 2009. The results showed that: (a) The three-year average of [AV and [ΣSE in surface sediments of Chaohu Lake is 4.2μmolg-1and 2.31μmolg-1, respectively. The maximum of [AV appears on spot 5 (14.845μmolg-1) in summer while the minimum appears on spot 9 (0.13μmolg-1) in winter. (b) In spot 5 which near the estuary of Yuxi River, three-year average of [SE was the maximum (5.81μmolg-1), and the minimum of [ΣSE (0.07μmolg-1) appears on spot 8 which locates in the middle of Chaohu Lake. In spot 13 the [ΣSEM]-[AVS]=3.2>2 and [ΣSEM]/[AVS]=4.45>2.34 indicate that heavy metal contaminants from Hefei city have threatened the biosafety of Chaohu Lake. (c) The spatial autocorrelation of SEMCdis weak, which indicates that spatial distribution of SEMCdis determined by anthropogenic factors rather than sediments' own attribute. Chaohu Lake has been heavily polluted by Cd from no-point source and electronic electroplating industry.

scholarly journals Pollution Scenario due to Discharge of Effluent from Agrochemicals and Pesticides Manufacturing Industries of Dombivali Industrial Belt of Mumbai, India

2013 ◽  
Vol 22 ◽  
pp. 8-15
Author(s):  
P.U. Singare ◽  
S.S. Dhabarde
Keyword(s):  
Heavy Metals ◽  
Ph Value ◽  
Winter Season ◽  
Chemical Properties ◽  
Total Solid ◽  
Average Concentration ◽  
Summer Season ◽  
Manufacturing Industries ◽  
Toxic Heavy Metals ◽  
Physico Chemical

The paper deals with monitoring of pollution arising due to agrochemicals and pesticides manufacturing industries located along the Dombivali industrial belt of Mumbai, India. The study was carried for the period of one year from June, 2012 to May, 2013 to study the level of toxic heavy metals and the physico-chemical properties of waste water effluents discharged from the above industries. The average concentration of Cu, Ni, Cr, Pb and Zn was found to be maximum of 29.86, 0.90, 1.16 and 1.19 ppm respectively in summer season, while average Fe concentration was maximum of 51.10 ppm in winter season. The average pH value of the effluent was found to be maximum of 12.95 in summer season, while average conductivity value was maximum of 21085 µmhos/cm in rainy season. The majority of physco-chemical parameters like alkalinity, hardness, salinity, chloride, cyanide, phosphate, total solid, BOD and COD content were found to be maximum in summer season having the average values of 1918, 186, 4, 11.20, 0.07, 81, 6391, 685 and 2556 ppm respectively. The average DO content was found to be low of 4.5 ppm in winter season. It was observed that the concentration level of majority of the toxic heavy metals and physico-chemical properties were above the tolerable limit set for inland surface water. The results of present study indicates that the existing situation if mishandled can cause irreparable ecological harm in the long term well masked by short term economic prosperity due to extensive industrial growth

scholarly journals Heavy Metal Content in Water of Resko Lake (North-West Poland)

2013 ◽  
Vol 13 ◽  
pp. 279-287 ◽  
Author(s):  
Piotr Daniszewski ◽  
Ryszard Konieczny
Keyword(s):  
Surface Water ◽  
Water Samples ◽  
Metal Content ◽  
Research Work ◽  
Average Concentration ◽  
Permissible Limit ◽  
Toxic Heavy Metals ◽  
Annual Average ◽  
North West ◽  
Annual Average Concentration

The present research work deals with the quantification of toxic heavy metals in the water samples collected from Lake of Resko (North-West Poland). While the annual average concentration of Cadmium was calculated as 0.34 ppm in 2008 of the year and 0.28 ppm in 2009 of the year. The values obtained were found to be below the permissible limit of 2.0 ppm set for inland surface water. While the annual average concentration of Chromium was calculated as 1,75 ppm in 2008 of the year and 1.97 ppm in 2009 of the year. Which was very much above the permissible limit of 0.1 ppm set for inland surface water. The observed annual average concentration of Copper in the water was 0.05 ppm in 2008 of the year and 0.06 ppm in 2009 of the year, which was below the permissible limit of 3.0 ppm set for inland surface water. While the annual average concentration of Mercury was calculated as 0.03 ppm in 2008 of the year and 0.04 ppm in 2009 of the year, which was very much above the maximum limit of 0.01 ppm set for inland surface water. The annual average concentration of Nickel in the water samples was observed to be 2.07 ppm in 2008 of the year and 2.09 ppm in 2009 of the year, which is close to the limit of 3.0 ppm set for inland surface water. The annual average concentration of Pb in the water samples was observed to be 0.07 ppm in 2008 of the year and 0.05 ppm in 2009 of the year, which is above the permissible limit of 0.1 ppm set for inland surface water. The results of the present investigation indicate that the annual average concentration of Zn in water samples was 3.02 ppm in 2008 of the year and 2.74 ppm in 2009 of the year, which is above the permissible limit of 5.0 ppm set for inland surface water.

scholarly journals METHODOLOGY FOR FORMING AND IMPLEMENTING A TOUR AND DETERMINING ITS ECONOMIC EFFICIENCY

2021 ◽  
Author(s):  
Tetiana Krasnoded ◽  
Tetiana Bakina ◽  
Olena Zakharchenko
Keyword(s):  
Economic Efficiency ◽  
Tourist Destination ◽  
Main Component ◽  
Almost All ◽  
The Cost ◽  
Operator Activity ◽  
Tour Operator

The relevance of the study of issues in the context of tour operator activity is determined. Important issues of formation and promotion of the tour as the main component of tourist products are considered. A tour project is presented and an algorithm for creating a tourist product for several days for a specific tourist destination is demonstrated. The mechanism for determining the cost of a tour is revealed, which includes the cost of accommodation, meals, travel, excursion services and entertainment, support, insurance and other additional services provided to consumer tourists within the framework of a tourist project. At the same time, a mechanism for calculating individual elements of the tour price is presented. The method of calculating the company's profit and economic efficiency from the sale of the tour is revealed. General marketing directions in tourism are also proposed, which can be used to determine the preferences of tourists, present and promote almost all tourist products.

Water Quality Prediction Using Statistical Tool and Machine Learning Algorithm

2020 ◽  
pp. 609-623
Author(s):  
Arun Kumar Beerala ◽  
Gobinath R. ◽  
Shyamala G. ◽  
Siribommala Manvitha
Keyword(s):  
Machine Learning ◽  
Learning Algorithm ◽  
Training Data ◽  
Machine Learning Techniques ◽  
Statistical Tool ◽  
Data Set ◽  
Water Quality Prediction ◽  
Living Things ◽  
Sampling Locations ◽  
Different Seasons

Water is the most valuable natural resource for all living things and the ecosystem. The quality of groundwater is changed due to change in ecosystem, industrialisation, and urbanisation, etc. In the study, 60 samples were taken and analysed for various physio-chemical parameters. The sampling locations were located using global positioning system (GPS) and were taken for two consecutive years for two different seasons, monsoon (Nov-Dec) and post-monsoon (Jan-Mar). In 2016-2017 and 2017-2018 pH, EC, and TDS were obtained in the field. Hardness and Chloride are determined using titration method. Nitrate and Sulphate were determined using Spectrophotometer. Machine learning techniques were used to train the data set and to predict the unknown values. The dominant elements of groundwater are as follows: Ca2, Mg2 for cation and Cl-, SO42, NO3− for anions. The regression value for the training data set was found to be 0.90596, and for the entire network, it was found to be 0.81729. The best performance was observed as 0.0022605 at epoch 223.

scholarly journals Algal flora of Rajarani Lake, Dhankuta and their seasonal distribution

Our Nature ◽  
2017 ◽  
Vol 15 (1-2) ◽  
pp. 44-54
Author(s):  
Govinda Shrestha ◽  
Shiva Kumar Rai
Keyword(s):  
Seasonal Variation ◽  
Rainy Season ◽  
Physicochemical Parameters ◽  
Winter Season ◽  
Single Species ◽  
Seasonal Distribution ◽  
Algal Flora ◽  
Ankistrodesmus Falcatus ◽  
Different Seasons ◽  
Aulacoseira Granulata

In this paper, a total 46 algae belonging to 34 genera and 3 classes (Chlorophyceae 54%, Bacillariophyceae 28%, Cyanophyceae 18%) have been reported from Rajarani Lake, Dhankuta, Nepal. Among these, 13 algae were reported as new to the country. Genera Ankistrodesmus, Closterium, and Desmodesmus had maximum number of species whereas 25 genera were represented by single species. Seasonal variation of algae showed that there was changing number and type of algae with physicochemical parameters in different seasons. Cyanophycean algae Microcystis flos-aque was dominant and observed in all sites in every collection of winter, summer and rainy seasons, and followed by bacillariophyceaean algae i.e., Aulacoseira granulata var. angustissima. The maximum number of algae was found in summer (59%) followed by winter (50%) and rainy (31%) seasons. There were 6 common algae found in all season’s viz. Ankistrodesmus falcatus, Aulacoseira granulata var. angustissima, Flagilaria tenera, Microcystis flos-aquae, Navicula radiosa and Oedogonium sp. Algae viz., Anabaena affinis, Cyclotella meneghiana, Pinnularia divergens, Pinnularia interrupta, Tetrastrum heteracanthum, and Ulothrix subtilissima were found only in winter season whereas, Aulacoseirsa granulata var. muzzanensis, Bolbochaete sp, Closterium striolatum, Cylindrospermum muscicola, Desmodesmus abundans, Desmodesmous quadricauda var.bicaudatus, Eunotia bilunaris, Gomphonema lacusrankaloides and Gomphonema pseudoaugur were observed only in summer. Similarly, Aphanocapsa pulchra, Oscillatoria sancta and Pediastrum duplex var. gracillimum were reported only in rainy season.

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