#UrbanFlooding

[arun-jaswal]

Heavy Rainfall Causes Flood In Mohali & Chandigarh #mohali #chandigarh #heavyrain In this video, we bring you the latest updates on the severe weather conditions that have hit Mohali and Chandigarh. Heavy rainfall has caused significant flooding across these regions, disrupting daily life and causing widespread concern among residents. 📌 In This Video: On-the-ground footage of the flooding in Mohali & Chandigarh Impact of the heavy rainfall on local infrastructure Challenges faced by residents and emergency response teams Weather forecast and what to expect in the coming days Tips for staying safe during floods 🔍 Key Highlights: Flooding Impact: See how the relentless downpour has submerged roads, homes, and businesses, creating chaos in both cities. Public Response: Get a glimpse of how residents are coping with the flooding and how authorities are responding to the crisis. Safety Measures: Learn important safety tips for navigating flooded areas and protecting yourself and your property. Weather Updates: Stay informed about the ongoing weather conditions and potential future risks. 🛠️ Why You Should Watch: Stay Informed: Keep up with the latest developments on the flooding situation in Mohali and Chandigarh. Be Prepared: Understand the risks associated with heavy rainfall and flooding to better protect yourself and your loved ones. Community Support: See how communities are coming together to help those affected by the floods. 🔔 Stay Updated: Don’t forget to like, subscribe, and ring the bell icon to stay updated with our latest videos covering weather events, safety tips, and more. We’ll keep you informed with timely updates and in-depth analysis of the situation. 🗣️ Join the Conversation: Have you been affected by the floods? Share your experiences in the comments below and let us know how you’re staying safe. Your stories could help others in similar situations. #MohaliFlood #ChandigarhFlood #HeavyRainfall #WeatherUpdate #Flooding #UrbanFloods #Monsoon2024 #DisasterPreparedness #StaySafe #ClimateChange via YouTube https://www.youtube.com/watch?v=MNoZ5CaYLuw

[rtnngo]

We Appreciate our volunteers for Rescue the Nation from this urban flood. They had worked from 4pm to 12am without caring themselves just to save and help our beloved Pakistanis. ❤ #rescue #TheNation #rtnngo #Pakistan #urbanflooding https://www.instagram.com/p/CEaJqtGFB-1/?igshid=1cpfu2xmgy8bs

[earthywings]

Sponge City : a concept

Sponge City : a concept

Are Sponge Cities Made Of Sponge? No, Not Of Sponge Bob’s Sponge And Yes, Because Does The Same Job. It Is A Concept Where The Idea Is To Make Urban Floods Manageable By Making Cities Permeable To Hold Whatever Water Falls On Or (/And) Flows Through Them. The Process Doesn’t Stop Here. The Water So Absorbed Is Then Purified, And Is Discharged Into Urban Aquifers, Can Also Be Used To Recharge…

[chishtiakc]

View this post on Instagram

A post shared by Adnan Chishti (@chishtiakc)

#stayhome #staysafe it’s not #coronavirus now #urbanflooding #karachi #pakistan #adnanchishti (at Engitech Services LLC) https://www.instagram.com/p/CEYp3f_n0zz/?igshid=fj4n0mp5epjd

[nadeemmalik]

View this post on Instagram

A post shared by Nadeem Malik 🇵🇰 (@nadeemmaliklive)

Army Chief directed Karachi Corps to step up flood relief operations to assist affected people due to rains. “Troops must reach out to the affected population in distress and extend all necessary care.” #Pakistan #UrbanFlood (at Islamabad, Pakistan) https://www.instagram.com/p/CEVSmagJiL_/?igshid=1kuzmphfd4gyf

[itsmejharvee29]

Mas fully loaded pala ako ngayong second sem ojt unlike sa una kong ojt 😂😂 #dews #hydromet #urban #urbanflood #officeguy #ojt

[wahidadnan]

View this post on Instagram

A post shared by Wahid Adnan (@wahidadnan)

Photographing a photographer... . This little doll was watching me taking video of the road where my house is...I didn't dare to move forward anymore riding my bike because the exhaust pipe already went under knee deep water and the bike 'coughed' a lot before I finally got a ramp for it. My friend @a.m.ahad was on his way to back from taking photos...and, I started taking photos and videos while waiting...she didn't want to just watch...she went inside, grabbed a phone, came and took photos of people and me. . #dailylife #waterlog #waterlogged #dhakagram #citylife #urbanlife #wahidadnan #girl #fun #happiness #life #instagram #monsoon #bangladesh #asia #southasia #weather #rain #downpour #instadailylife #urbanflood #flood #cityflood (at Shewrapara । শেওড়াপাড়া, মিরপুর, ঢাকা ।)

[daisyri-me]

Environmental Monitoring Market to Expand to USD 26.7 billion by 2025 With Major Players : 3M; Agilent Technologies &  Danaher Corporation

The global environmental monitoring market size is expected to reach USD 26.7 billion by 2025 at a CAGR of 9.5% over the next forecast period. Growing rate of pollution levels, supportive regulatory and political scenario, and increasing awareness regarding pollution monitoring is anticipated to drive the market through 2025. Furthermore, adoption and implementation of environment-friendly practices in industrial operations is expected to play a pivotal role in the deployment of environmental monitoring systems worldwide.

Avail Sample Report @ https://www.radiantinsights.com/research/environmental-monitoring-market/request-sample

Rise in funding for environmental monitoring and pollution control initiatives by multilateral bodies and government institutions is also a key market driver. The Green Climate Fund (GCF) is one such financial initiative under the United Nations Framework Convention on Climate Change (UNFCC) to assist developing countries in adoption, adaptation, and mitigation initiatives to counter climate change. GCF has pledged to set up a goal of raising $100 billion a year by 2020. Multilateral and institutional funding on similar lines is likely to promote the market for environmental monitoring systems.

In terms of connectivity and communication technology, there has been significant development in cellular and non-cellular communications such as Bluetooth, ZigBee, and NB-IoTs, which has enabled users to deploy their systems indoor as well as at remote locations. Moreover, emerging technologies such as Artificial Intelligence (AI), Machine Learning (ML), and big data analytics is expected to prove beneficial in the deployment of environmental sensors to achieve consistency, accuracy, and efficiency.

Use of AI in Early Warning Systems (EWS) to identify the onset of critical situations has been implemented and proved efficient in the UrbanFlood Project. The project was funded under EU's 7th Framework Programme in 2009 to investigate the use of sensors within flood embankments to support EWS. The future prospects of environmental monitoring seems to be promising with technological advancements leading to the creation of intelligent or smart environmental monitoring systems.

North America dominated the market in 2018 owing to stringent and well-established pollution control laws and regulations by the U.S. Environmental Protection Agency (EPA) and Canada's Canadian Environmental Assessment Agency (CEAA). Asia Pacific, on the other hand, is expected to emerge as the fastest-growing regional market owing to increasing focus of countries such as India and China to curb pollution pro-actively. 'China's National Clean Air Action Plan' and India's similar initiative 'National Clean Air Mission' are notable initiatives, which is likely to boost the market.

Further key findings from the report suggest:

• Based on component, particulate matter monitoring systems are expected to witness the fastest growth owing to increasing health problems caused by exposure to particulate matter (PM) and strict regulatory steps to mitigate particulate pollution initiated by governments worldwide

• By product, the monitor segment accounted for the largest share in 2018 owing to emerging sensing techniques, miniaturization of sensors, affordability, and easy integration with Internet of Everything (IoE)

• On the basis of application, air pollution is likely to witness the fastest growth owing to rising air pollution worldwide and constructive initiatives taken to curb it. According to WHO, around 7 million people die every year due to exposure to fine particle matters, which lead to diseases such as lung cancer, stroke, heart disease, and chronic obstructive pulmonary disease

• By way of sampling method, continuous monitoring systems will exhibit the highest CAGR during the forecast period owing to proliferation of IoT devices and its increasing connectivity with devices, applications, and people to monitor and take decisions seamlessly

• Some of the major players include in environmental monitoring market are 3M; Agilent Technologies; Danaher Corporation; Emerson Electric; General Electric Company; Honeywell International Inc.; Horiba, Ltd.; Siemens; Teledyne Technologies Inc.; and Thermo Fisher Scientific, Inc.

Browse Full Research Report With TOC on https://www.radiantinsights.com/research/environmental-monitoring-market

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[jeeban245-blog]

Assignment #3

Early warning system for Disaster management in rural area(2015)

Z.N. Khalil Wafi , Mohd Fareq Abd.Malek, Sateaa Hikmat alnajjar, R.Badlishah Ahmad

"The stakeholder of ICT Information & Communication Technology is facing problems and challenges in identifying the necessary requirements for the proper design of communications in rural areas, the need of early alarm system in these area has been increase to reduce the gab of communication problems, scientists and engineers start to do researches to cover the problem by using new communication methods to ensure the connection with people in rural area especially during disasters such as floods, fires, storms and other disasters [3]"

My study relates about giving the information in rural areas by giving information to the people in this areas through radio or sending sms warning for the upcoming disaster.

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Earthquake Early Warning System by IOT using Wireless Sensor Networks(2016)

Alphonsa A.,Ravi G.

"In this paper, we propose an earthquake early warning system by means of an IOT in WSN. The sensors are placed in the surface of the earth. When an earthquake occurs, both compression P wave and transverse S wave radiates outward the epicenter of the earth. The P wave, which travels fastest, trips the sensors, placed in the landscape. It causes early alert signals to be transfer ahead, giving humans and automated electronic system a warning to take precautionary actions. So that before the damage begins with the arrival of the slower but stronger S waves, the public are warned earlier.[4]"

In this study the case is the prediction in earthquake disaster, a warning system by IOT using WSN. My study is also related to my study that when the system detects a earth motion in the ground using a seismometer, the system then give the information annd providing an early warning before the earthquake arrive in the region.

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A Development and Execution Environment for Early Warning Systems for Natural Disasters(2015)

Bartosz Balis, Tomasz Bartynski, Marian Bubak, Grzegorz Dyk, Tomasz Gubala and Marek Kasztelnik

"Early Warning Systems (EWS) may become a powerful tool for mitigating the negative impact of natural disasters, especially when combined with advanced IT solutions – such as on-demand scenario simulations, semi-automatic impact assessment, or real-time analysis of measurements from in-situ sensors. However, such complex systems require a proper computing environment supporting their development and operation. We propose the Common Information Space (CIS), a software framework facilitating design, deployment and execution of early warning systems based on real-time monitoring of natural phenomena and computationally intensive, time-critical computations.[5]"

Their study have a function in monitoring the natural phenomenon and time-critical computations, and give predictions for natural disaster to occur in the specific place, it correlates in my study in terms of warning systems giving the awareness and preparedness for the people.

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A Self Adaptive Telemetry Station for Flash Flood EarlyWarning Systems(2017)

Autanan Wannachai, Paskorn Champrasert, Somrawee Aramkul

"This paper proposed a self adaptive telemetry station, SATS, that can automatically adjust its operation mode to the environmental conditions.An automatic environmental condition learning and evaluation mechanism, Auto-ELE, is also proposed in this paper.[6]"

This system also helps for flash flood disaster, it has significance to my study for it is both warning systems although this study is unique for it is using a self adaptive telemetry station, my study focuses on alarming and sending warning alarms to the resident.

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EARTHQUAKE EARLY WARNING SYSTEM USING REAL-TIIME SIGNAL PROCESSING(2002)

Richard R. Leach Jr., Farid U. Dowla

"The warning system is designed to analyze the first-arrival from the three components of an earthquake signal and instantaneously provide a profile of impending ground motion, in as little as 0.3 sec after first ground motion is felt at the sensors. For each new data sample, at a rate of 25 samples per second, the complete profile of the earthquake is updated.[7]"

Just like the other warning systems, its relates to my study for it gives an accurate and informative warning to mitigate catastrophic ground motion and to give an early warning the people and be prepared for the disaster to occur.

RRL

Early Warning System for Disaster by IOT using broadcasting.

Disaster is a big problem to the society and most of them are natural disaster which cannot be stopped, but can be predicted by the help of warning systems. Some of these systems are used in different kinds of disaster like hurricanes, tsuanmi, earthquakes these natural disaster can be predicted to prevent and reduce the damage of the disaster when it happens.Most current natural disaster warning systems are based on remote sensors that depend on certain characteristics of natural disasters[1]. There are some research project takes root in the making of a system of monitoring for early warning systems that generates a Transport Stream (TS) signals with the Emergency Warning Broadcast System (EWBS) code [2].In this cases, a Warning system composing of different sensors that predicts every different disaster in their specific characteristic behaviour will be a big help, and also using Emergency Warning Broadcast System(EWBS) and Transport Stream(TS) for alarming the residents in the place where the disaster takes place. This system will be helpfull not just to monitor the disaster and alsp giving the alarm to the people and to prevent life loss and great destruction of the society.

REFERENCES

[1] B.c. Ko, H.J. Hwang, and J.Y. Nam, "Nonparametric membership functions and fuzzy logic for vision sensor-based flame detection," Journal of Optical Engineering, vol. 49, pp.2-11, 23, 2010

[2] ARIB STANDARD, Service Information for Digital Broadcasting System, Version 4.6, 2008.

[3] Shibata, Y.; Sato, Y.; Ogasawara, N.; Chiba, G.; “A Disaster Information System by Ballooned Wireless Adhoc Network “,Complex, Intelligent and Software Intensive Systems, 2009. CISIS '09. International Conference on 16-19 March 2009, P 299 - 304 Fukuoka ,ISBN: 978-1-4244-3569-2 , Accession Number: 10702165

[4] Poslad S, Middleton S.E., Chaves F., Ran Tao Necmioglu O and Bugel U., “A Semantic IOT Early Warning System for Natural Environment Crisis Management”, IEEE Transaction on Emerging in Computing, vol. 3, Issue 6, pp. 246-257, 2015.

[5] B. Balis, M. Kasztelnik, M. Bubak, T. Bartynski, T. Gubała,P. Nowakowski, and J. Broekhuijsen, “The UrbanFlood Common Information Space for Early Warning Systems,” Procedia Computer Science,vol. 4, pp. 96–105, 2011, proceedings of the International Conference on Computational Science, ICCS 2011.

[6] M. Castillo-Effer, D. H. Quintela, W. Moreno, R. Jordan, and W. Westhoff. Wireless sensor networks for flash-flood alerting. In Devices, Circuits and Systems, 2004. Proceedings of the Fifth IEEE International Caracas Conference on, volume 1, pages 142–146. IEEE, 2004.

[7] Anderson, J. G., and Q. Chen (1995). Beginnings of Earthquakes in the Mexican Subduction Zone on Strong-Motion Accelerograms. Bull. Seism. Soc. Am. 85,1 107-1 11 5.

[arun-jaswal]

Heavy Rainfall Causes Flood In Mohali & Chandigarh In this video, we bring you the latest updates on the severe weather conditions that have hit Mohali and Chandigarh. Heavy rainfall has caused significant flooding across these regions, disrupting daily life and causing widespread concern among residents. 📌 In This Video: On-the-ground footage of the flooding in Mohali & Chandigarh Impact of the heavy rainfall on local infrastructure Challenges faced by residents and emergency response teams Weather forecast and what to expect in the coming days Tips for staying safe during floods 🔍 Key Highlights: Flooding Impact: See how the relentless downpour has submerged roads, homes, and businesses, creating chaos in both cities. Public Response: Get a glimpse of how residents are coping with the flooding and how authorities are responding to the crisis. Safety Measures: Learn important safety tips for navigating flooded areas and protecting yourself and your property. Weather Updates: Stay informed about the ongoing weather conditions and potential future risks. 🛠️ Why You Should Watch: Stay Informed: Keep up with the latest developments on the flooding situation in Mohali and Chandigarh. Be Prepared: Understand the risks associated with heavy rainfall and flooding to better protect yourself and your loved ones. Community Support: See how communities are coming together to help those affected by the floods. 🔔 Stay Updated: Don’t forget to like, subscribe, and ring the bell icon to stay updated with our latest videos covering weather events, safety tips, and more. We’ll keep you informed with timely updates and in-depth analysis of the situation. 🗣️ Join the Conversation: Have you been affected by the floods? Share your experiences in the comments below and let us know how you’re staying safe. Your stories could help others in similar situations. #MohaliFlood #ChandigarhFlood #HeavyRainfall #WeatherUpdate #Flooding #UrbanFloods #Monsoon2024 #DisasterPreparedness #StaySafe #ClimateChange via YouTube https://www.youtube.com/watch?v=5lT3Issygpo

[wahidadnan]

The water is thigh deep after hundred yards from here. It took me nearly two hours to reach home from Mirpur-2 after three hour long heavy rain stopped. I tried to get through all the entry point from 60-feet road to Kazipara and Shewrapara...but, all those side roads were under thigh deep water. I tried the last entry point from Taltola...that was still accessible and finally my motorbike's exhaust went under water near my place...left the bike at friend's garage and came home through knee deep water. It's first time in my seven years of living in Dhaka that our road went under water...Dhaka already became unlivable... #bike #water #flood #waterlogged #dhakagram #wahidadnan #caferacer #motorcycle #monsoon #agony #difficulties #citylife #dhakalife #bikelife #urbanflood #aftermath #motorbikesofinstagram #instagram #motorbike (at Kazipara । কাজীপাড়া, মিরপুর, ঢাকা ।)