Diversity of Aquatic Fungi in Three Bank of Ganga River in Varanasi District of Uttar Pradesh

2014 ◽  
Vol 13 (3) ◽  
pp. 200-202
Author(s):  
Bhupendra Kumar Sing ◽  
Saurabh Singh ◽  
Vandana Srivastava ◽  
D.N. Shukla
Keyword(s):  
Uttar Pradesh ◽  
Aquatic Fungi ◽  
Ganga River

DIVERSITY OF MEDICINAL PLANTS AT THE BANK OF RIVER GANGA IN DISTRICT BALLIA OF UTTAR PRADESH

2018 ◽  
Vol 24 (1) ◽  
Author(s):  
SUBHASH CHANDRA ◽  
RAHUL PANDEY
Keyword(s):  
Medicinal Plants ◽  
Uttar Pradesh ◽  
Ganga River ◽  
Human Diseases ◽  
River Ganga

The paper reports 46 species of medicinal plants with common and scientific names belonging to 46 species and 41 genera under 26 families from the eight sites viz. Belahari, Baria, Chandpur, Manjhua, Manjhi ghat, Mahavir ghat, Nagwa and Srirampur at banks of Ganga river in the district of Ballia for cure of various human diseases

scholarly journals MaxEnt distribution modeling for predicting Oreochromis niloticus invasion into the Ganga river system, India and conservation concern of native fish biodiversity

2021 ◽  
Vol 24 (2) ◽  
pp. 43-51
Author(s):  
Atul K. Singh ◽  
Sharad C. Srivastava ◽  
Pushpendra Verma
Keyword(s):  
Water Quality ◽  
Distribution Pattern ◽  
Oreochromis Niloticus ◽  
Predictor Variable ◽  
Uttar Pradesh ◽  
River System ◽  
Ganga River ◽  
Exotic Fish ◽  
Data Set ◽  
Maxent Model

Abstract In order to assess the distribution pattern and understand the prevailing factors for predicting further expansion of an exotic fish Oreochromis niloticus, this study was undertaken in the Ganga river flowing through the state of Uttar Pradesh using MaxEnt model. The authors report the distribution pattern of O. niloticus and prevailing causative factors mounting the expansion of O. niloticus in the Ganges based on MaxEnt modeling technique. The presence only occurrence data-set for this invasive species was prepared from the field data and also from data collated from the authenticated publications of different fisheries researchers. The data-set was analyzed with environmental and topographical variables typically incorporating seasonal and temporal variability using MaxEnt, a maximum entropy algorithm which showed that the area under curve was much closer to 1 ( 0.999). The model predicted elevation as the most influential predictor variable with permutation importance of 69.2% followed by slope_steepness (10.1%), Tmax_1 (7.3%) and Srad_5 (6.8%). The findings from the results suggest that invasive O. niloticus tend to spread in rivers where elevation is lower as well as slope_steepness of the river is higher and thus indicated that invasion might be higher in the downstream of the river. The model suggests that topography and its derived variable are the most significant predictors for distribution of invasive O. niloticus. The results of this study also confirm that the water qualities of the Ganga river are suitable for O. niloticus and if the model is supplemented with water quality variables data, the influential predictor variable in water quality can be well investigated with permutation importance.

scholarly journals Status of organochlorine pesticides in Ganga river basin: anthropogenic or glacial?

2013 ◽  
Vol 6 (2) ◽  
pp. 69-80 ◽  
Author(s):  
P. K. Mutiyar ◽  
A. K. Mittal
Keyword(s):  
Organochlorine Pesticides ◽  
River Basin ◽  
Detection Rate ◽  
Uttar Pradesh ◽  
Agricultural Runoff ◽  
Ganga River ◽  
River Stretch ◽  
Different Types ◽  
River Sample ◽  
The Ganges

Abstract. This study reports the occurrences of organochlorine pesticides (OCPs) in the Ganga river basin covering 3 states, i.e., Uttarakhand, Uttar Pradesh and Bihar comprising 72% of total river stretch consisting of 82 sampling points covered through 3 sampling campaigns. Samples were monitored for 16 major OCPs, including hexachlorocyclohexanes (HCHs), Endosulfan group, Aldrin group, DDTs and Heptachlor group pesticides. The results showed the ng L−1 levels contamination of OCPs in all the stretches sampled during these campaigns. The results also revealed that different types of OCPs were dominating in different stretches in accordance with the land use practices and agricultural runoff generated from those stretches. HCHs were most frequently detected (detection rate = 75%) in mountainous stretch; Endosulfans were prominent in UP (detection rate = 75%) stretch while in BR stretch Aldrin group pesticides were paramount (detection rate = 34%). Source apportionment of the OCP's revealed that in the upper reaches of the Ganges i.e., in the state of Uttarakhand, the glacial melt may be responsible for the presence of OCP's. In the lower reaches, intensive agriculture and industrial activities may be significantly contributing these pesticides. The samples from tributaries of Ganga river were found to contain higher numbers of pesticides as well as higher concentrations. The maximum total pesticide concentration in an individual sample during these sampling campaigns was found in the Son river sample (0.17 μg L−1, Location: Koilwar, Bhojpur, Bihar).

scholarly journals Status of organochlorine pesticides in Ganga river basin: anthropogenic or glacial?

2012 ◽  
Vol 5 (1) ◽  
pp. 1-30 ◽  
Author(s):  
P. K. Mutiyar ◽  
A. K. Mittal
Keyword(s):  
Organochlorine Pesticides ◽  
River Basin ◽  
Detection Rate ◽  
Uttar Pradesh ◽  
Agricultural Runoff ◽  
Ganga River ◽  
River Stretch ◽  
River Sample ◽  
The Ganges ◽  
Land Use Practices

Abstract. This study reports the occurrences of organochlorine pesticides (OCPs) in Ganga river basin covering 3 states, i.e. Uttarakhand, Uttar Pradesh and Bihar covering 72% of total river stretch consisting of 82 sampling points covered through 3 sampling campaigns. Samples were monitored for 16 major OCPs, including HCHs, Endosulfan group, Aldrin group, DDTs and Heptachlor group pesticides. The results showed the ng l−1 levels contamination of OCPs in all the stretches sampled during these campaigns. The results also revealed that different type of OCPs were dominating in different stretches in accordance to the land use practices and agricultural runoff generated from those stretches. HCHs were most frequently detected (detection rate = 75%) in mountainous stretch; Endosulfans were prominent in UP (detection rate = 75%) stretch while BR stretch Aldrin group pesticides were paramount (detection rate = 34%). Source apportionment of the OCP's revealed that in the upper reaches of the Ganges i.e. in the state of Uttarakhand, the glacial melt may be responsible for the presence of OCP's. In the lower reaches, intensive agriculture and industrial activities may be significantly contributing these pesticides. The sample from tributaries of Ganga river were found to contain higher number of pesticides as well as higher concentrations. The maximum total pesticide in an individual sample from these sampling campaigns was found in Son river sample (0.17 μg l−1, Location: Koilwar, Bhojpur, Bihar).

Credit constraints and Rural Migration: Evidence from Six Villages in Uttar Pradesh

2018 ◽  
Vol 15 (3) ◽  
pp. 389-398
Author(s):  
Ruchi Singh
Keyword(s):  
Credit Constraints ◽  
Uttar Pradesh ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Model ◽  
Male Migration ◽  
Rural Economies ◽  
And Migration ◽  
The Relationship ◽  
The Empirical Analysis

Rural economies in developing countries are often characterized by credit constraints. Although few attempts have been made to understand the trends and patterns of male out-migration from Uttar Pradesh (UP), there is dearth of literature on the linkage between credit accessibility and male migration in rural Uttar Pradesh. The present study tries to fill this gap. The objective of this study is to assess the role of credit accessibility in determining rural male migration. A primary survey of 370 households was conducted in six villages of Jaunpur district in Uttar Pradesh. Simple statistical tools and a binary logistic regression model were used for analyzing the data. The result of the empirical analysis shows that various sources of credit and accessibility to them play a very important role in male migration in rural Uttar Pradesh. The study also found that the relationship between credit constraints and migration varies across various social groups in UP.

FIRST RECORD OF MANTIDS (MANTODEA: INSECTA) FROM INDIA

2018 ◽  
Vol 24 (1) ◽  
Author(s):  
SHVETA PATEL ◽  
RAJENDRA SINGH
Keyword(s):  
Uttar Pradesh ◽  
First Record ◽  
Target Area ◽  
Extensive Survey ◽  
First Time

Extensive survey of mantids in the northeastern Uttar Pradesh was conducted. Two mantid species were recorded for the first time from the target area, viz.: Pyrgomantis pallida, 1917 and Bactromantis mexicana.

STATISTICAL METHODS FOR THE ASSESSMENT OF AIR POLLUTION OF JHANSI CITY, UTTAR PRADESH, INDIA

2018 ◽  
Vol 24 (1) ◽  
Author(s):  
V. S. CHAUHAN ◽  
BHANUMATI SINGH ◽  
SHREE GANESH ◽  
JAMSHED ZAIDI
Keyword(s):  
Air Pollution ◽  
Uttar Pradesh ◽  
Ambient Air ◽  
Ambient Air Pollution ◽  
Base Line ◽  
Multivariate Statistical ◽  
Large Cities ◽  
Governmental Organizations ◽  
Non Governmental Organizations ◽  
The Status

Studies on air pollution in large cities of India showed that ambient air pollution concentrations are at such levels where serious health effects are possible. This paper presents overview on the status of air quality index (AQI) of Jhansi city by using multivariate statistical techniques. This base line data can help governmental and non-governmental organizations for the management of air pollution.

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