This page presents Somalia's climate context for the current climatology, 1991-2020, derived from observed, historical data. Information should be used to build a strong understanding of current climate conditions in order to appreciate future climate scenarios and projected change. You can visualize data for the current climatology through spatial variation, the seasonal cycle, or as a time series. Analysis is available for both annual and seasonal data. Data presentation defaults to national-scale aggregation, however sub-national data aggregations can be accessed by clicking within a country, on a sub-national unit. Other historical climatologies can be selected from the Time Period dropdown list. Data for specific coordinates can be downloaded for in the Data Download page.
Download Disaster On The Coastliner
Climate change is hammering the environment, socio-economic condition, vegetation degradation, earth surface change and over the land losses. In between 2019 and 2020, West Bengal people are facing three major cyclones like, Fani, Bulbul and the last was Amphan. Those natural disasters were affected in vegetation, hammering crop production, water quality change, life losses and affected in the ecosystem. 20th May 2020 Amphan was entering in West Bengal and occur several damaged. Seventy two people of West Bengal were lost their life and several months over the southern parts of West Bengal are facing huge land scarcity and salt-water intrusion on the mainland. Over 13.6 billion dollar was losses due to this cyclone. Google Earth Engine (GEE) is a cloud-based platform to detect earth observation using high spatial satellite data with planetary-scale analysis capabilities. C-band Sentinel-1A Synthetic Aperture Radar is used to identifying the flood inundation on Google Earth Engine (GEE). Landsat 8 OLI data is used for MNDWI calculation on this area. Pre-Amphan and during Amphan two satellite data are clearly showing the water increased area. The Coastal area like Sagar Island (154.254 Sq.km), Ghoramara Island, Mousuni Island, G-Plot, L-Block and some parts of riverside most affected by this cyclone. Kultali (187.254 Sq.km) followed by Kulpi (156.86 Sq.km), Namkhana (198.485 Sq.km) and Basanti (129.53 Sq.km) area under flooded during this cyclone. During COVID-19 pandemic, social distancing is the main problem on cyclone shelter house and relief camp. This area has faced those two disasters at the same time.
Floods are the maximum frequent on the coastline and it causes several natural disasters. In the year of 2018, 50% of the total disaster-affected people and 24% of disaster-related death occur in the worldwide coastline. Indian Sundarban area is most vulnerable due to some natural disaster like a cyclone, flood, shoreline change and many geomorphological changes. Monitoring any disaster-related effect is the essential part (Carreño Conde and De Mata Muñoz 2019; Kwak 2017; Rahman and Thakur 2018). The most problem are faced during flood area that, public safety, economic loss and cropland damage. The flood monitoring using ground data, satellite observation or flooded area mapping are time-consuming and need a skilled person for this (Rahman and Thakur 2018). Availability of satellite data is more useful for detecting flood-affected area.
Disaster discusses an emergency produced by natural hazards or human-induced movements those results in an important change in environments over a comparatively short period. The results are death, displacement, disease, and loss of crops production. Also, the disasters are effected several damage like physical infrastructure, exhaustion of natural and social resources, institutional weakening and a general interruption of economic and social activity. Disasters may differ somewhat in the trigger, scope, duration and requisite actions (Coletta 2004; Olorunfemi and Raheem 2013). The global consequence relative to disasters is depressing. World statistics indicate contemporaneous and future trends of cumulative influences from natural and anthropological hazards on life and livelihoods (Van Niekerk 2006). In the past era, hazards like earthquakes, drought, floods, storms, fires and volcanic eruptions have effected several damaged and losses of human life and livelihoods; the devastation of economic and social infrastructure and huge amount of environmental damage. Natural disasters like earthquakes, floods and hurricanes can distribute out years of urban development by destroying infrastructure and housing and by injury or killing thousands of people. The 2011 Tsunami in Japan is an example of a disaster categorized by a massive loss of lives and property.
Due to large scale air mass rotation around a strong centre of low atmospheric pressure the spiralling wind is created by the cyclone. Several damaged was occur during the cyclone. Normally the intensity of the cyclone and wind speed is the reason for coastal climatic degradation of an area. Many natural bridges were breakdown and occurring flood on that area. Vegetation areas were huge change and economic losses happen during this natural disaster. In the previous era, India has facing huge amount of cyclone and the results were land reimbursements, life loss, scarcity of socio-economic condition and many more. The southern parts of West Bengal facing huge amount of rainfall, storm and suffers electricity problem. In this study investigate the overall damaged due to flooding on this area, areal condition and economic loss on this area.
Bengal during 20th may 2020. As per the state report, around 72 people have died in West Bengal and 12 people in Bangladesh. The Enormous quantity of economic loss and people was homeless during the cyclone. This cloud computing algorithm based platform can assistance for monitoring environmental change detection. GEE platform is additionally cost-effective and humble to use. In future, remote sensing data and cloud-computing technologies will benefit for land monitoring, environmental change and flood monitoring on the global scale. The accessibility of satellite data will help the user for manipulative the environmental degradation or natural disaster to spread the bulletin to everybody for the problem we will face in the future. In this study reported the recent Amphan related flood inundation in the lower part of West Bengal. This natural hazard study is necessary for future adaptation, awareness, preparedness, relief camp, cyclone shelter house and self-resilience of the entire coastal region.
We numerically solved the nonlinear long-wave equation using a staggered leap-frog finite difference method. The simulation area included the Nankai Trough region, the south coast of the Korean Peninsula, and the East Sea of China (Fig. 4a). Figure 4b shows the topography near Jeju Island, and Fig. 4c shows the coastlines of the Korean Peninsula and Jeju Island. We used 30 arc-second bathymetric data taken from the General Bathymetric Chart of the Oceans (GEBCO) database hosted by the British Oceanographic Data Centre (BODC; GEBCO_2014 Grid, available for download at , 2014). A total simulation time of 15 h was required to examine the tsunami arrivals at the eastern coastline of China, and the time step was set to 1 s for computational stability.
The historical records imply that potential tsunamis generated in the Nankai Trough region could affect the Korean Peninsula in the future. To predict future tsunami disasters, we conducted tsunami simulations for potential Nankai earthquakes.
Europeans of the eighteenth century struggled to understand the disaster within religious and rational belief systems. Since the earthquake took place on All Saints' Day and destroyed most of the city's major churches, reactionary priests blamed the destruction on Lisbon's supposed sins. Inquisitors literally roamed the streets looking for heretics to hang.
Philosophers of the Enlightenment, notably Voltaire, wrote about the event. Voltaire used the earthquake in "Candide" and in his "Poeme sur le desastre de Lisbonne" ("Poem on the Lisbon disaster"). In "Candide" (1759), Voltaire reported how, "After the earthquake, which had destroyed three-fourths of the city of Lisbon, the sages of that country could think of no means more effectual to preserve the kingdom from utter ruin than to entertain the people with an auto-da-fe (Portuguese for "act of faith", a rite of the Catholic Inquisition in which the sentence was carried out, usually by burning at the stake), it having been decided by the University of Coimbra, that the burning of a few people alive by a slow fire, and with great ceremony, is an infallible preventive of earthquakes."
The eyewitness account of the Lisbon earthquake and its aftermath by Rev. Charles Davy, a survivor of this great Lisbon disaster, makes horrifying reading. Only the 1906 San Francisco earthquake is comparable in its economic and psychic impact.
From 1998-2017, storms, including tropical cyclones and hurricanes, were second only to earthquakes in terms of fatalities, killing 233 000 people. During this time, storms also affected an estimated 726 million people worldwide, meaning they were injured, made homeless, displaced or evacuated during the emergency phase of the disaster.
During disasters, such as tropical cyclones, WHO helps to restore primary care services so that facilities can deliver essential services, including immunization, basic treatment for common illnesses, acute malnutrition and maternal care while ensuring the ongoing supply of medications for people living with HIV, tuberculosis or diabetes.
This case study from the National Climate Change Adaptation Research Facility focuses on the May 2009 storm that affected South East Queensland and Northern NSW to explore vulnerabilities, disaster responses and changes in planning, management and policy which are enacted or proposed, and which may result in long-term adaptation improvements
DSMs are ideal for runway approach zone encroachment in aviation, and urban planning to check how a proposed building may affect views. Beyond that, DSMs can be used for visualization, disaster management, navigation, vegetation management, decision-making, and much more. 2ff7e9595c
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