scholarly journals Variation of Aulacoseira Granulata As An Eco-Pollution Indicator In Sub-Tropical Large River Ganga In India: A Multivariate Analytical Approach

2021 ◽  
Author(s):  
Trupti Rani Mohanty ◽  
Nitish Kumar Tiwari ◽  
Suman Kumari ◽  
Archisman Ray ◽  
Ranjan Kumar Manna ◽  
...  
Keyword(s):  
Environmental Factors ◽  
Winter Season ◽  
Pollution Index ◽  
Principal Component ◽  
Large River ◽  
Water Pollution Index ◽  
Pollution Indicator ◽  
Average Abundance ◽  
River Ganga ◽  
Aulacoseira Granulata

Abstract Aulacoseira granulata (Ehrenberg) Simonsen 1979 is one of the major ecological indicators of the water quality of lotic as well as lentic aquatic ecosystems. To assess major environmental factors contributor to A.granulata bloom in the riverine system, a study was carried out from 2018 to 2019 comprising four different seasons at 11 sampling sites of river Ganga in the middle and lower stretch of river Ganga comprising freshwater and estuarine zones. For the analysis, different univariate, as well as multivariate analytical tools such as Principal Component Analysis (PCA) and Water pollution Index (WPI), were used. In the finding, it was observed that the average abundance of Aulacoseira granulata was found maximum during the winter season. Among all the studied sites, the maximum average abundance was at Balagarh (71576 cell l-1) and minimum at Diamond Harbour (68 cell l-1). The environmental factors such as dissolved oxygen, depth, and altitude showed a positive and water temperature negatively influencing the growth rate of A. granulate. WPI showed a significantly negative correlation with cell length. Finally, the study concludes that the blooming of Aulacoseira granulata is highly influenced by varied environmental conditions along the river Ganga suggesting possible eutrophication. Therefore, a certain minimum flow and depth especially during the lean season have to be maintained for the sustenance of planktonic biota in the river Ganga.

Evaluation functions for integral mapping

2017 ◽  
Vol 921 (3) ◽  
pp. 24-29 ◽  
Author(s):  
S.I. Lesnykh ◽  
A.K. Cherkashin
Keyword(s):  
Principal Component Analysis ◽  
Environmental Factors ◽  
Principal Components ◽  
Principal Component ◽  
Evaluation Function ◽  
Final Value ◽  
Evaluation Functions ◽  
Geographical Environment ◽  
Environmental Background ◽  
Integral Mapping

The proposed procedure of integral mapping is based on calculation of evaluation functions on the integral indicators (II) taking into account the feature of the local geographical environment, when geosystems in the same states in the different environs have various estimates. Calculation of II is realized with application of a Principal Component Analysis for processing of the forest database, allowing to consider in II the weight of each indicator (attribute). The final value of II is equal to a difference of the first (condition of geosystem) and the second (condition of environmental background) principal components. The evaluation functions are calculated on this value for various problems of integral mapping. The environmental factors of variability is excluded from final value of II, therefore there is an opportunity to find the invariant evaluation function and to determine coefficients of this function. Concepts and functions of the theory of reliability for making the evaluation maps of the hazard of functioning and stability of geosystems are used.

scholarly journals Water Quality Estimation and Population’s Attitudes: A Multi-Disciplinary Perspective of Environmental Implications in Tara National Park (Serbia)

2020 ◽  
Vol 13 (1) ◽  
pp. 241
Author(s):  
Jovana Brankov ◽  
Ana Milanović Pešić ◽  
Dragana Milijašević Joksimović ◽  
Milan M. Radovanović ◽  
Marko D. Petrović
Keyword(s):  
Water Quality ◽  
National Parks ◽  
National Park ◽  
Local Community ◽  
Pollution Index ◽  
Field Research ◽  
Polluted Water ◽  
Pollution Level ◽  
Environmental Implications ◽  
Water Pollution Index

The paper analyzes the water quality of hydrological resources in the wider area of Tara National Park (NP Tara) in Serbia and the opinions of the local community and the national park visitors about the grade of the possible damage. The pollution level of the Drina River at the Bajina Bašta hydrological station was analyzed using the Water Pollution Index. The results showed that water quality corresponded to classes II (clean water) or III (moderately polluted water) and revealed the presence of organic pollution. In addition, using a survey combined with field research, the perceptions of local inhabitants and national park visitors related to environmental pollution were analyzed. The community believed that tourism does not cause significant damage to the environment. However, the older and more educated groups of residents and visitors had a more critical perception of the environmental impact of tourism. The results also indicated that the perceptions of visitors were mostly in agreement with measured water quality in the Drina River. The findings of this study have important implications for the management of protected areas and future policies related to national parks.

Multivariate analyses of indigenous bread wheat (Triticum aestivum L.) landraces of Oman

2021 ◽  
pp. 483
Author(s):  
Ali Hussain Al Lawati ◽  
Saleem Kaseemsaheb Nadaf ◽  
Nadiya Abubakar Al Saady ◽  
Saleh Ali Al Hinai ◽  
Almandhar Almamari ◽  
...  
Keyword(s):  
Triticum Aestivum ◽  
Bread Wheat ◽  
Multivariate Analyses ◽  
Crop Improvement ◽  
Winter Season ◽  
Principal Component ◽  
Triticum Aestivum L ◽  
Plant Parts ◽  
Improvement Programs ◽  
D Values

Oman is endowed with enormous diversity of important food crops that have global significance for food security and has ancient history of cultivation of bread wheat (Triticum aestivum L.) with its divergent landraces, which are useful in crop improvement. 55 indigenous Omani accessions conserved at the USDA were evaluated in the winter season (November to April) of the years 2017-2018 and 2018-2019 on loamy soil under sprinklers in augmented design with 5 check varieties in 5 replications following crop husbandry practices as per national recommendations using 9 quantitative (descriptors) and 6 qualitative traits (anthocyanin pigmentation on plant parts). The data on traits were subjected not only for PC values and D values after varimax rotation through Kaiser normalization in Principal Component Analysis (PCA) but also for Agglomerative Hierarchical Clustering (AHC). The results indicated that indigenous bread wheat accessions were significantly different (p>0.05) for all the quantitative traits except number of tillers. The multivariate analyses led to formation of four diverse clusters from PCA analyses corresponding to four quadrants of bi-plot graphs and three clusters from AHC analysis corresponding to main clades of dendrogram. The parents were selected from common accessions of distinct clusters in all the multivariate analyses for hybridization for improving characters of growth for higher yield or productivity with pigmentation on one or two plant parts useful for DUS test of varieties. The indigenous bread wheat landraces / accessions were genetically diverse and have potential for use in national crop improvement programs for earliness and higher grain productivity with distinct identification markers.

scholarly journals Environmental Factors Affecting the Diversity and Photosynthetic Pigments of Trentepohlia Species in Northern Thailand’s Chiang Dao Wildlife Sanctuary

2020 ◽  
Vol 89 (1) ◽  
Author(s):  
Santi Saraphol ◽  
Srunya Vajrodaya ◽  
Ekaphan Kraichak ◽  
Anchalee Sirikhachornkit ◽  
Nuttha Sanevas
Keyword(s):  
Relative Humidity ◽  
Environmental Factors ◽  
Photosynthetic Pigments ◽  
Dominant Species ◽  
Winter Season ◽  
Morphological Identification ◽  
Wildlife Sanctuary ◽  
Total Carotenoids ◽  
Carotene Content ◽  
Factors Affecting

This study addressed the environmental factors that affect <em>Trentepohlia</em> spp. in the Chiang Dao Wildlife Sanctuary at altitudes of 399 to 1,503 meters above sea level (m a.s.l.) during the rainy, winter, and summer seasons. Species were identified using characteristic morphological identification. The influence of environmental factors on the algae was analyzed using a statistical program, and seasonal changes in the quantity of photosynthetic pigments in the dominant species were evaluated. The average relative humidity was 69.34 ± 12.90%, the average temperature was 26.23 ± 3.79 °C, and the average light intensity was 139.78 ± 42.21 µmol photon m<sup data-id="superscript-1">−2</sup> s<sup data-id="superscript-2">−1</sup>. Thirteen species were found: <em>Trentepohlia chapmanii</em>, <em>Trentepohlia</em> sp. 1, <em>Trentepohlia</em> sp. 2, <em>Trentepohlia sundarbanensis</em>, <em>Trentepohlia</em> sp. 3, <em>Trentepohlia rigidula</em>, <em>Trentepohlia</em> sp. 4, <em>Trentepohlia effusa</em>, <em>Trentepohlia monilia</em>, <em>Trentepohlia abietina</em>, <em>Trentepohlia</em> sp. 5, <em>Trentepohlia aurea</em>, and <em>Trentepohlia umbrina</em>. The largest number of species (seven to nine) were found at lower altitudes, from 473 to 517 m a.s.l. Species diversity was greatest in the winter season (13 species). Species found at low attitude were grouped together (Group 1) and had the greatest diversity, and the remaining species were divided into Groups 2, 3, and 4. Environmental factors had both positive and negative influences on the species, especially <em>T. chapmanii</em>, which was found below 1,003 m a.s.l., and <em>T. monilia</em>, which was found in areas with a high relative humidity of 74.50% to 83.93%. The ratio of the total carotenoids to chlorophyll of <em>T. rigidula</em>, the dominant species, was relatively high at 4.96:1, and the β-carotene content (46.89 %w/w) was highest during winter.

scholarly journals Pengembangan Sistem Pemetaan Status Mutu Air Sungai Berbasis Web Menggunakan Extreme Programming

2020 ◽  
Vol 4 (3) ◽  
pp. 36
Author(s):  
Shofwatul Uyun
Keyword(s):  
Water Quality ◽  
River Water ◽  
Information Disclosure ◽  
System Development ◽  
Pollution Index ◽  
High Water ◽  
Extreme Programming ◽  
Programming System ◽  
Water Pollution Index ◽  
The Government

The high water pollution index causes a decrease in water quality so that it can interfere with the health of living things. In order to overcome this, the government has tried to monitor water quality whose results can be known by the community. However, information disclosure and ease of accessing information are felt to be lacking. This study aims to present information about the quality status of river water and its relatively up-to-date and easily accessed by the public online. The storet method is used to determine the status of river water quality with seven parameters: temperature, EC, TDS, pH, DO, BOD and E.coli. The features provided will be explained in the results and discussion presented in several UML diagrams. In order to get results that match user expectations, this system was developed with extreme programming system development methods.

scholarly journals Correlation of environmental factors and spatial distribution of moluscs communities in mangrove reboisation areas of Seribu Islands, Indonesia

2019 ◽  
Vol 2 (2) ◽  
Author(s):  
Syahrial Syahrial ◽  
Eryc Pranata ◽  
Hendri Susilo
Keyword(s):  
Principal Component Analysis ◽  
Spatial Distribution ◽  
Environmental Factors ◽  
Principal Component ◽  
Quality Standard ◽  
Small Plot ◽  
Line Transects ◽  
Relationship Of ◽  
The Relationship ◽  
Mangrove Reforestation

Mangrove reforestation is often carried out in various regions or regions, but information about the relationship of environmental factors and the distribution of fauna associations is still very minimal. The Principal Component Analysis (PCA) study on the correlation of environmental factors and the spatial distribution of the molusks community in the Seribu Islands mangrove reforestation area was conducted in March 2014 with the aim of analyzing environmental factors for the diversity and presence of the molusks. Environmental factors are measured insecurely, while the moluccan community is collected by making line transects and plots measuring 10 x 10 m2 and in the size of 10 x 10 m2, a small plot of 1 x 1 m2 is made. The results of the study show that environmental factors are not so different between stations and do not exceed the quality standard for the lives of 4 species of mollusks, where the parameters of aquatic pH are the environmental factors that most influence their distribution.Keywords: environmental factors, distribution, mollusks community, mangrove reforestation, Seribu Islands

scholarly journals Water quality assessment of the Borska Reka river using the WPI (Water Pollution Index) method

2011 ◽  
Vol 63 (3) ◽  
pp. 819-824 ◽  
Author(s):  
Dragana Milijasevic ◽  
Ana Milanovic ◽  
Jovana Brankov ◽  
M. Radovanovic
Keyword(s):  
Water Pollution ◽  
Oxygen Demand ◽  
Pollution Index ◽  
Domestic Wastewater ◽  
Water Quality Assessment ◽  
Organic Pollution ◽  
Index Method ◽  
Water Pollution Index ◽  
The Republic ◽  
Basin Area

The Borska Reka river (47 km long, 373 km2 of basin area) is located in eastern Serbia and it is the biggest tributary of the river Veliki Timok. It is also one of the most polluted watercourses in Serbia. Using the data of the Republic Hydrometeorological Service of Serbia, the paper analyzes water pollution using the combined physical-chemical WPI index (water pollution index) over two periods: 1993-1996 and 2006-2009. The analysis of parameters showed significantly increased values of heavy metals (especially iron and manganese) which are indicators of inorganic pollution (primarily because of mining), but also increased values of organic pollution indicators (Biological Oxygen Demand-BOD5, ammonium, coliform germs), as the result of uncontrolled domestic wastewater discharge.

scholarly journals Chemical Composition of Essential Oil among Seven Populations of Zanthoxylum armatum from Himachal Pradesh: Chemotypic and Seasonal Variation

2017 ◽  
Vol 12 (10) ◽  
pp. 1934578X1701201 ◽  
Author(s):  
Vinod Bhatt ◽  
Sushila Sharma ◽  
Neeraj Kumar ◽  
Upendra Sharma ◽  
Bikram Singh
Keyword(s):  
Principal Component Analysis ◽  
Essential Oil ◽  
Winter Season ◽  
Principal Component ◽  
Essential Oil Composition ◽  
Himachal Pradesh ◽  
Oil Composition ◽  
Fresh Leaf ◽  
Zanthoxylum Armatum ◽  
Total Composition

Essential oil from the fresh leaf of Zanthoxylum armatum, collected from the different regions of Himachal Pradesh, India, was obtained by hydrodistillation. The main constituents of essential oil, as well as locational and seasonal change in its composition have been determined by GC-FID and GC-MS techniques. Thirty-five constituents, making up about 93.1-99.4% of the total composition of oil, were characterized. Among all the characterized components, non-terpenic hydrocarbons (2-undecanone and ( E)-2-decanal), oxygenated monoterpenes (linalool, 1,8-cineol and β-terpineol) and monoterpene hydrocarbons ( β-phellandrene, α-pinene, sabinene and β-myrcene) contribute to major proportion of oil. Further, principal component analysis was carried out to distinguish the variation of essential oil composition among the collected samples in summer and winter season. Based on the cluster separation, five chemotypes were identified, representing β-phellandrene/2-undecanone; linalool/2-undecanone; linalool; 2-undecanone; 2-undecanone /1,8-cineol.

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