scholarly journals Massive Damage to Coastal Region of Bangladesh by the Cyclone Storm YASS

2021 ◽  
Author(s):  
Aminul Islam ◽  
Mehedi Hasan ◽  
Nahid Ferdous ◽  
Rajib Hossain
Keyword(s):  
Tropical Cyclones ◽  
Storm Surge ◽  
Coastal Region ◽  
Secondary Data ◽  
Western Region ◽  
Cyclone Track ◽  
The South ◽  
Fish Farms ◽  
Geographical Position ◽  
Strong Winds

Background: Tropical cyclones have significant destructive features like strong winds, heavy rainfall, and storms. It happens frequently in Bangladesh because of its geographical position. The southern parts of Bangladesh suffer most, especially the south-western region. Cyclone YASS hit the same parts of the country as cyclone Amphan did in 2020. These areas are still reeling from the effects of the prior tragedies. Methods: Secondary data has used to full fill the objective of the study investigating the damages of cyclone YASS in Bangladesh. Results: Wind and storm surge of the cyclone affected the south-western of Bangladesh. In Patuakhali and Jhalokathi districts, people were mostly affected and houses were mostly damaged in Patuakhali district. Paddy fields were mostly damaged and fish farms in Satkhira district were mostly damaged due their proximity to the cyclone track. Some places have been affected due to the storm surge. Conclusion: Due to the lack of suitable embankments in the coastal region, these areas are flooded by the storm surge. Authorities and government has to take necessary steps to overcome the losses.

The potassium status of some coarse textured soils of the south western region of Western Australia

1961 ◽  
Vol 1 (1) ◽  
pp. 11
Author(s):  
DP Drover
Keyword(s):  
Hydrochloric Acid ◽  
Plant Growth ◽  
Western Australia ◽  
Coastal Region ◽  
Western Region ◽  
Exchangeable Potassium ◽  
Potassium Fertilizer ◽  
The South ◽  
Exchangeable K ◽  
South West

The total, hydrochloric acid soluble, and exchangeable potassium contents of two soils typical of large areas of the south-west coastal region of Western Australia and of two soils in this region which had received varying levels of potassium fertilizer were determined. It was found that all four soils were low in exchangeable K, containing less than 60 lb exchangeable K per acre in their surface three inches. One of the soils had an exchangeable K content of 0.21 m-equiv. per cent after 2 cwt KCl per acre and another 0.08 m-equiv. per cent after 1 cwt KCl per acre had been applied and satisfactory pasture growth had been made. These values are lower than those reported elsewhere for satisfactory plant growth. One soil, extremely low in exchangeable K and which responded to potassium fertilizer, was found to contain the high total K content of 1 per cent. Mineralogical examination disclosed that almost the whole of this was present as feldspar.

scholarly journals Rapid prediction of peak storm surge from tropical cyclone track time series using machine learning

2021 ◽  
Author(s):  
Jun-Whan Lee ◽  
Jennifer Irish ◽  
Michelle Bensi ◽  
Doug Marcy
Keyword(s):  
Time Series ◽  
Tropical Cyclone ◽  
Storm Surge ◽  
Coastal Region ◽  
Surrogate Modeling ◽  
Storm Surges ◽  
High Fidelity ◽  
Cyclone Track ◽  
Tropical Cyclone Track ◽  
Modeling Approaches

Rapid and accurate prediction of peak storm surges across an extensive coastal region is necessary to inform assessments used to design the systems that protect coastal communities’ life and property. Significant advances in high-fidelity, physics-based numerical models have been made in recent years, but use of these models for probabilistic forecasting and probabilistic hazard assessment is computationally intensive. Several surrogate modeling approaches based on existing databases of high-fidelity synthetic storm surge simulations have been recently suggested to reduce computational burden without substantial loss of accuracy. In these previous studies, however, the surrogate modeling approaches relied on a tropical cyclone condition at one moment (usually at or near landfall), which is not always most correlated with the peak storm surge. In this study, a new one-dimensional convolutional neural network model combined with principal component analysis and a k-means clustering (C1PKNet) is presented that can rapidly predict peak storm surge across an extensive coastal region from time-series of tropical cyclone conditions, namely the storm track. The C1PKNet model was trained and cross-validated for the Chesapeake Bay area of the United States using existing database of 1031 high-fidelity storm surge simulations, including both landfalling and bypassing storms. Moreover, the performance of the C1PKNet model was evaluated based on observations from three historical hurricanes (Hurricane Isabel in 2003, Hurricane Irene in 2011, and Hurricane Sandy in 2012). The results indicate that the C1PKNet model is computationally e cient and can predict peak storm surges from realistic tropical cyclone track time-series. We believe that this new surrogate model can enhance coastal resilience by providing rapid storm surge predictions.

scholarly journals Salinity variation of south-western coastal region of Bangladesh in response to discharge from an upstream river

2020 ◽  
Vol 8 (2) ◽  
pp. 173
Author(s):  
Md . Shibly Anwar ◽  
Md. Zakir Hasan ◽  
Kalimur Rahman
Keyword(s):  
River Flow ◽  
High Salinity ◽  
Coastal Region ◽  
Dry Season ◽  
Salinity Level ◽  
Western Region ◽  
The South ◽  
Discharge Data ◽  
The Ganges ◽  
High Salinity Level

Long term variation in upstream water flow through the Ganges−Gorai river are affecting the salinity levels of south-western coastal region of Bangladesh. Salinity data for the Rupsha river was collected for several years to demonstrate the historical changes of salinity level in the south-western coastal region. Furthermore, discharge data of the Ganges and Gorai river were also collected to discuss the effect of upstream discharge on the variation of salinity level. This study also collected water and soil samples from different places of this region to measure the salinity level and compare the values with the standard ones. A decreasing trend in dry season Ganges-Gorai river flow was observed after the initiation of the Farakka barrage in 1975. Consequently, the south-western region underwent high salinity level. The Ganges sharing treaty in 1996 and dredging of the Gorai riverbed (GRRP-I and GRRP-II) in 1999 and in 2012 helped the region to recover from high salinity level for a certain period. The salinity level of the collected water samples was in alarming level but soil sample was not in so frightening condition in 2015. Results suggested that to maintain the salinity level of south-western region within the acceptable limit for drinking, fisheries, and cultivation purposes, approximately 80 m3/s Gorai river discharges required at dry season. To do that, it is necessary to ensure 1200 m3/s discharge through the Ganges river at the Hardinge Bridge point. To protect the vital south-western region, it becomes necessary to optimize flow augmentation in the Ganges-Gorai river and to continue the further phases of restoration project in the future.   

scholarly journals Serological evidence of Rift Valley fever virus infection among domestic ruminant herds in Uganda

2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Deo B. Ndumu ◽  
Barnabas Bakamutumaho ◽  
Edward Miller ◽  
Jesca Nakayima ◽  
Robert Downing ◽  
...  
Keyword(s):  
Rift Valley ◽  
Rift Valley Fever ◽  
Rift Valley Fever Virus ◽  
Northern Region ◽  
Western Region ◽  
Domestic Ruminant ◽  
The South ◽  
Valley Fever ◽  
Sheep And Goats ◽  
The Western Region

Abstract Background Prior to the first recorded outbreak of Rift Valley fever (RVF) in Uganda, in March 2016, earlier studies done until the 1970’s indicated the presence of the RVF virus (RVFV) in the country, without any recorded outbreaks in either man or animals. While severe outbreaks of RVF occurred in the neighboring countries, none were reported in Uganda despite forecasts that placed some parts of Uganda at similar risk. The Ministry of Agriculture, Animal Industry and Fisheries (MAAIF) undertook studies to determine the RVF sero-prevalence in risk prone areas. Three datasets from cattle sheep and goats were obtained; one from retrospective samples collected in 2010–2011 from the northern region; the second from the western region in 2013 while the third was from a cross-sectional survey done in 2016 in the south-western region. Laboratory analysis involved the use of the Enzyme Linked Immunosorbent Assays (ELISA). Data were subjected to descriptive statistical analyses, including non-parametric chi-square tests for comparisons between districts and species in the regions. Results During the Yellow Fever outbreak investigation of 2010–2011 in the northern region, a total sero-prevalence of 6.7% was obtained for anti RVFV reacting antibodies (IgG and IgM) among the domestic ruminant population. The 2013 sero-survey in the western region showed a prevalence of 18.6% in cattle and 2.3% in small ruminants. The 2016 sero-survey in the districts of Kabale, Kanungu, Kasese, Kisoro and Rubirizi, in the south-western region, had the respective district RVF sero-prevalence of 16.0, 2.1, 0.8, 15.1and 2.7% among the domestic ruminants combined for this region; bovines exhibited the highest cumulative sero-prevalence of 15.2%, compared to 5.3 and 4.0% respectively for sheep and goats per species for the region. Conclusions The absence of apparent outbreaks in Uganda, despite neighboring enzootic areas, having minimal restrictions to the exchange of livestock and their products across borders, suggest an unexpected RVF activity in the study areas that needs to be unraveled. Therefore, more in-depth studies are planned to mitigate the risk of an overt RVF outbreak in humans and animals as has occurred in neighboring countries.

scholarly journals Documentation of flora of Rara lake and adjoining areas in mid-western region of Nepal

2013 ◽  
Vol 21 (1) ◽  
pp. 41-47
Author(s):  
BK Basnet
Keyword(s):  
National Park ◽  
Secondary Data ◽  
Flowering Plant ◽  
Western Region ◽  
Ramsar Site ◽  
Secondary Sources ◽  
Data Field ◽  
Adjoining Area ◽  
Faunal Diversity ◽  
Flowering Plant Species

Rara National Park is the smallest national park of the country. It is rich in floral and faunal diversity. Rara is one of the sacred lakes and is listed as a Ramsar site. The aim of the study was to compile the representative flora of Rara lake and to present status of available vegetation. The research used both primary and secondary sources of data. Field visit was conducted in June, 2010 during which more than 300 plant specimens were collected. The secondary data were collected from Rara and adjoining area like Gamgadi. These data were thoroughly analyzed to understand the composition of vegetation. The study revealed the existence of about 224 flowering plant species in the area, under 173 genera and 67 families. Compositae was found to be the largest family (21 species and 17 genera) followed by Rosaceae (19 species and 10 genera). DOI: http://dx.doi.org/10.3126/banko.v21i1.9063 Banko Janakari, Vol. 21, No. 1 2011; 41-47

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