Spatial and Temporal Variation of Soil and Water Salinity in the South-Western and South-Central Coastal Region of Bangladesh

2017 ◽  
Vol 66 (5) ◽  
pp. 854-871 ◽  
Author(s):  
Shahriar Rahman ◽  
Md. Rakib Hasan Sarker ◽  
Md. Younus Mia
Keyword(s):  
Temporal Variation ◽  
Coastal Region ◽  
Water Salinity ◽  
Spatial And Temporal Variation ◽  
The South ◽  
South Central ◽  
Soil And Water

Spatial and temporal variation in littoral-zone benthic invertebrates from three south-central Ontario lakes

1995 ◽  
Vol 52 (7) ◽  
pp. 1406-1420 ◽  
Author(s):  
R. A. Reid ◽  
K. M. Somers ◽  
S. M. David
Keyword(s):  
Temporal Variation ◽  
Benthic Invertebrates ◽  
Seasonal Changes ◽  
Littoral Zone ◽  
Spatial And Temporal Variation ◽  
South Central ◽  
Temporal Factors ◽  
Follow Up Studies ◽  
Spatial Differences

Surveys of benthic invertebrates have revealed patterns attributed to the impacts of acid deposition. Unfortunately, these patterns may be confounded by temporal variation that will affect follow-up studies of the recovery of these communities. Here, we assess spatial and temporal variation in time-limited, kick-and-sweep collections of littoral-zone benthos. Spatial variation comprised five sites representing the predominant nearshore substrates in each of three lakes. Temporal variation spanned a different scale in each lake with five sites sampled: (i) twice on the same day, (ii) once a week for 3 weeks, and (iii) four times through the ice-free season. Variation was quantified using a model II analysis of variance. Spatial differences predominated in same-day samples (60.4% of the variation on average) and those collected over a 3-week period (46.1%). In contrast, samples collected over the ice-free season revealed that spatial and temporal factors accounted for 9.4 and 25.6% of the variation. We conclude that our collections of littoral macrobenthos are highly repeatable if sampling is restricted to short periods (e.g., 3 weeks). Surveys spanning longer periods may incorporate considerable temporal variation from seasonal changes in abundance.

Spatial and temporal variation in the isotopic composition of mercury in the South River, VA

2018 ◽  
Vol 494 ◽  
pp. 96-108 ◽  
Author(s):  
Spencer J. Washburn ◽  
Joel D. Blum ◽  
Aaron Y. Kurz ◽  
James E. Pizzuto
Keyword(s):  
Isotopic Composition ◽  
Temporal Variation ◽  
Spatial And Temporal Variation ◽  
The South

scholarly journals Grass Pea Consumption and Present Scenario of Neurolathyrism in the South Central Coastal Area of Bangladesh

2020 ◽  
pp. 27-32
Author(s):  
Md. Hasan Rashid ◽  
Md. Rabiul Haque ◽  
Sujan Kanti Mali ◽  
Liton Chandra Sen ◽  
Sourav Debnath
Keyword(s):  
Primary Education ◽  
Health Problem ◽  
Coastal Area ◽  
Coastal Region ◽  
Consumption Pattern ◽  
Monthly Income ◽  
Grass Pea ◽  
The South ◽  
Food Items ◽  
South Central

Grass pea can be consumed as supplementary nutrients in a diet without a neurolathyrism health problem among all classes of people in the south-central coastal area of Bangladesh. The study aimed at assessing the grass pea consumption pattern in diet and detection of neurolathyrism patients over 400 respondents among four villages. An investigation was also done on various paralytic admitted patients at hospital in the south central coastal region of Bangladesh. Among respondents of four villages 63% were male, 38.75% was illiterate, 41.5% was completed primary education and 30% of respondent’s monthly income Tk. 6000-9500 was maximum. Among respondents 89.6% consumed grass pea was 1/3 or less than cereal at its proportion in a meal and they all consumed meat, fish, egg, vegetables also. In grass pea food items 25.25% respondents prefer Dal barta was maximum and Dobakhesari (snack) 0.75% was lowest. 95.75% respondent was used various spices like onion, garlic, chili, tamarind etc. with grass pea to making food items to increasing its palatability and testes.

Investigation of Groundwater Quality and Its Suitability for Drinking and Agricultural Use in the South Central Part of the Coastal Region in Bangladesh

2016 ◽  
Vol 9 (1) ◽  
pp. 27-41 ◽  
Author(s):  
M. Atikul Islam ◽  
Anwar Zahid ◽  
Md. Mostafizur Rahman ◽  
Md. Shazadur Rahman ◽  
M. J. Islam ◽  
...  
Keyword(s):  
Groundwater Quality ◽  
Coastal Region ◽  
The South ◽  
South Central ◽  
Agricultural Use

Seismic Hazard Analysis for the South-Central Coastal Region of Bangladesh Considering the Worst-Case Scenario

2021 ◽  
Author(s):  
A. S. M. Maksud Kamal ◽  
Momtahina Mitu ◽  
Md. Shakhawat Hossain ◽  
M. Moklesur Rahman ◽  
Md. Zillur Rahman
Keyword(s):  
Seismic Hazard ◽  
Hazard Analysis ◽  
Coastal Region ◽  
Seismic Hazard Analysis ◽  
The South ◽  
Case Scenario ◽  
Worst Case ◽  
Worst Case Scenario ◽  
South Central

scholarly journals Quantifying the effects of environmental factors on wildfire burned area in the south central US using integrated machine learning techniques

2020 ◽  
Vol 20 (18) ◽  
pp. 11065-11087
Author(s):  
Sally S.-C. Wang ◽  
Yuxuan Wang
Keyword(s):  
United States ◽  
Machine Learning ◽  
The United States ◽  
Environmental Drivers ◽  
Fire Season ◽  
Spatial And Temporal Variation ◽  
Burned Area ◽  
The South ◽  
Environmental Controls ◽  
South Central

Abstract. Occurrences of devastating wildfires have been increasing in the United States for the past decades. While some environmental controls, including weather, climate, and fuels, are known to play important roles in controlling wildfires, the interrelationships between these factors and wildfires are highly complex and may not be well represented by traditional parametric regressions. Here we develop a model consisting of multiple machine learning algorithms to predict 0.5∘×0.5∘ gridded monthly wildfire burned area over the south central United States during 2002–2015 and then use this model to identify the relative importance of the environmental drivers on the burned area for both the winter–spring and summer fire seasons of that region. The developed model alleviates the issue of unevenly distributed burned-area data, predicts burned grids with area under the curve (AUC) of 0.82 and 0.83 for the two seasons, and achieves temporal correlations larger than 0.5 for more than 70 % of the grids and spatial correlations larger than 0.5 (p<0.01) for more than 60 % of the months. For the total burned area over the study domain, the model can explain 50 % and 79 % of the observed interannual variability for the winter–spring and summer fire season, respectively. Variable importance measures indicate that relative humidity (RH) anomalies and preceding months' drought severity are the two most important predictor variables controlling the spatial and temporal variation in gridded burned area for both fire seasons. The model represents the effect of climate variability by climate-anomaly variables, and these variables are found to contribute the most to the magnitude of the total burned area across the whole domain for both fire seasons. In addition, antecedent fuel amounts and conditions are found to outweigh the weather effects on the amount of total burned area in the winter–spring fire season, while fire weather is more important for the summer fire season likely due to relatively sufficient vegetation in this season.

Climate resilient livelihood activity in the south central coastal region of Bangladesh

2018 ◽  
Vol 6 (1) ◽  
pp. 421-430
Author(s):  
M. N. Amin ◽  
H. M. Solayman ◽  
S. S. Snigdha ◽  
J. Sultana
Keyword(s):  
Coastal Region ◽  
The South ◽  
South Central
Sign in / Sign up

Export Citation Format

Share Document