A real-time flooding monitoring and warning system using LoRa technology in Kone and Ha Thanh river basin, Binh Dinh Province

2020 ◽  
Vol 14 (5) ◽  
pp. 69-78
Author(s):  
Duc Thien Nguyen ◽  
◽  
Van Trung Tran ◽  
Van Tam Ngo ◽  
Van Phi Ho ◽  
...  

In the context of the recent climate change, flooding has been causing serious damages to the human lives and their properties in the world in general, Vietnam in particular, including Binh Dinh province. Therefore, it is pivotal for local governments to build up real-time flooding monitoring and warning systems supported by modern technologies. Addressing to this aim, in this paper, we will study and design a new flooding monitoring and warning system based on a combination of the Long Range (LoRa) teachnology and an open-source platform of Thingsboard. The proposed system allows collecting effectively and sufficiently data from different locations on rivers in a timely manner, thus supporting the early flooding prediction and forecast processes. A testbed of the proposed system is then deployed in the Kone and Ha Thanh river basin, Binh Dinh Province.

2021 ◽  
Vol 11 (16) ◽  
pp. 7197
Author(s):  
Yourui Tong ◽  
Bochen Jia ◽  
Shan Bao

Warning pedestrians of oncoming vehicles is critical to improving pedestrian safety. Due to the limitations of a pedestrian’s carrying capacity, it is crucial to find an effective solution to provide warnings to pedestrians in real-time. Limited numbers of studies focused on warning pedestrians of oncoming vehicles. Few studies focused on developing visual warning systems for pedestrians through wearable devices. In this study, various real-time projection algorithms were developed to provide accurate warning information in a timely way. A pilot study was completed to test the algorithm and the user interface design. The projection algorithms can update the warning information and correctly fit it into an easy-to-understand interface. By using this system, timely warning information can be sent to those pedestrians who have lower situational awareness or obstructed view to protect them from potential collisions. It can work well when the sightline is blocked by obstructions.


2018 ◽  
Vol 15 ◽  
pp. 231-237 ◽  
Author(s):  
Martín José Montero-Martínez ◽  
Julio Sergio Santana-Sepúlveda ◽  
Naydú Isabel Pérez-Ortiz ◽  
Óscar Pita-Díaz ◽  
Salvador Castillo-Liñan

Abstract. It is a matter of current study to determine potential climate changes in different parts of the world, especially in regions like a basin which has the potential to affect socioeconomic and environmental issues in a defined area. This study provides a comparison between several climate change indices trends of two very different basins in Mexico, one located in the northern arid region (the Conchos River basin) and the other in the southern humid area (the Usumacinta River basin). First, quality control, homogenization, and completion of the missing data were applied before calculating the climate change indices and their respective trends for the combined period 1961–1994. A clear warming signal was found for the two basins in addition to an increment in the DTR, in agreement with other studies in Mexico. Also, the Conchos River basin was found to be more humid and the Usumacinta River basin drier, in accordance to a supposed seesaw behavior indicated in previous analysis.


e-mentor ◽  
2021 ◽  
Vol 88 (1) ◽  
pp. 55-63
Author(s):  
Dominika P. Brodowicz ◽  

Today's cities face many challenges, including those related to the aging of the population, climate change, or broadly understood public safety and health. Examples from many places around the world show that without access to modern technologies, cities, companies, and public institutions could not function, provide services or care for the safety of billions of people living in urban areas. That is especially vital in conditions of the threat to many people's health and life and shutdown of economies caused by the coronavirus SARS-CoV-2. Therefore, the article aims to present selected examples of smart solutions used in cities in the face of the challenges related to ensuring security. Their functionality in pandemic conditions is also described both at present and if the state of emergency continued for the following years. The study proved that the importance of smart solutions for contemporary cities' functioning is growing in the face of the threat to the residents' health and life caused by COVID-19. That mainly applies to tools in the area of e-government, e-education, and e-services in the healthcare sector, including applications for reporting and informing about clusters of virus infections.


2019 ◽  
Vol 100 (6) ◽  
pp. 1011-1027 ◽  
Author(s):  
Chris Funk ◽  
Shraddhanand Shukla ◽  
Wassila Mamadou Thiaw ◽  
James Rowland ◽  
Andrew Hoell ◽  
...  

AbstractOn a planet with a population of more than 7 billion, how do we identify the millions of drought-afflicted people who face a real threat of livelihood disruption or death without humanitarian assistance? Typically, these people are poor and heavily dependent on rainfed agriculture and livestock. Most live in Africa, Central America, or Southwest Asia. When the rains fail, incomes diminish while food prices increase, cutting off the poorest (most often women and children) from access to adequate nutrition. As seen in Ethiopia in 1984 and Somalia in 2011, food shortages can lead to famine. Yet these slow-onset disasters also provide opportunities for effective intervention, as seen in Ethiopia in 2015 and Somalia in 2017. Since 1985, the U.S. Agency for International Development’s Famine Early Warning Systems Network (FEWS NET) has been providing evidence-based guidance for effective humanitarian relief efforts. FEWS NET depends on a Drought Early Warning System (DEWS) to help understand, monitor, model, and predict food insecurity. Here we provide an overview of FEWS NET’s DEWS using examples from recent climate extremes. While drought monitoring and prediction provides just one part of FEWS NET’s monitoring system, it draws from many disciplines—remote sensing, climate prediction, agroclimatic monitoring, and hydrologic modeling. Here we describe FEWS NET’s multiagency multidisciplinary DEWS and Food Security Outlooks. This DEWS uses diagnostic analyses to guide predictions. Midseason droughts are monitored using multiple cutting-edge Earth-observing systems. Crop and hydrologic models can translate these observations into impacts. The resulting information feeds into FEWS NET reports, helping to save lives by motivating and targeting timely humanitarian assistance.


2020 ◽  
Vol 12 (3) ◽  
pp. 1203 ◽  
Author(s):  
Asako Iwami ◽  
Takanori Matsui ◽  
Michinori Kimura ◽  
Kenshi Baba ◽  
Mitsuru Tanaka

As the effects of climate change increase in severity, organizations across the world are attempting to measures to mitigate these effects. In accordance with the Paris Agreement of November 2015, wherein participating nations agreed to restrict the increase in global temperature below 2 °C, Japan has formulated guidelines on creating adaptation plans that can be implemented by local governments. A Climate Change Adaptive Information Platform was also launched to promote understanding and cooperation by sharing information on climate risks. However, the literature on this topic lacks information related to the organization of requirements and challenges faced by municipal administrative officials that formulate adaptation plans. To address these issues, we examined the four municipal forums hosted at Hosei University to encourage administrative needs for new technological ideas in areas such as climate modeling and impact assessment. We used text mining on the transcripts of the various workshops conducted in these forums and attempted to understand the changes in discussions and to extract issues related to the formulation process. The results showed that various topics, such as creating adaptation promotion systems, assessing the impacts of climate change, formulating adaptation plans, communicating with related organizations and stakeholders, developing human resources, and capacity building, were discussed, and a need for information, procedures, and assistance was identified for the formulation of feasible adaptation plans. This study is expected to provide a useful reference to stakeholders involved in framing adaptation plans to mitigate the effects of climate changes, particularly at the municipal level.


2019 ◽  
Vol 30 ◽  
pp. 33-41
Author(s):  
MA Farukh ◽  
MAM Hossen ◽  
S Ahmed

Extreme cyclone events are now occurring more frequently in Bangladesh. Bangladesh experiences severe 52 cyclones from 1960 to 2010 where, the approximate percentage of storm surge impact is 40%, the largest in the world. A severe cyclone in 1970 and 1991 caused loss of 300,000 and 200,000 lives. It is reported that 210000, 36000, and 3500 tonnes of boro rice, aus rice, and other food crops (e.g. potatoes and vegetables) were totally destroyed by 1991 cyclone. The storm surge killed huge livestock and caused loss of 100% of freshwater fish. Recently, the super cyclonic storm SIDR (2007) and AILA (2009) affected 10,000 and 300,000 people, respectively. Apart from these, cyclones NARGIS (2008) and MOHASEN (2013) are also mentionable. The crop production in the coastal regions of Bangladesh is most vulnerable by cyclones while, sea level rise by 2050 will inundate 17.7% of southern coastal areas. Tropical cyclones could become more frequent with more strength under recent climate change conditions. In this research, a new dimension of extreme weather assessment is done combining GCM and GIS technology and using tropospheric instability indices. The thermodynamic environment, vertical instability characteristics of severe cyclones are indispensable to cope with climate change conditions, and for planning, disaster management, and to reduce the risk of food insufficiency. Progressive Agriculture, Vol. 30, Suppl. 1: 33-41, 2019


Sensors ◽  
2020 ◽  
Vol 20 (6) ◽  
pp. 1667 ◽  
Author(s):  
Hong T. Nguyen ◽  
Trung Q. Duong ◽  
Liem D. Nguyen ◽  
Tram Q.N. Vo ◽  
Nhat T. Tran ◽  
...  

Vu Gia-Thu Bon (VGTB) river basin is an area where flash flood and heavy flood events occur frequently, negatively impacting the local community and socio-economic development of Quang Nam Province. In recent years, structural and non–structural solutions have been implemented to mitigate damages due to floods. However, under the impact of climate change, natural disasters continue to happen unpredictably day by day. It is, therefore, necessary to develop a spatial decision support system for real-time flood warnings in the VGTB river basin, which will support in ensuring the area’s socio-economic development. The main purpose of this study is to develop an online flood warning system in real-time based on Internet-of-Things (IoT) technologies, GIS, telecommunications, and modeling (Soil and Water Assessment Tool (SWAT) and Hydrologic Engineering Center’s River Analysis System (HEC–RAS)) in order to support the local community in the vulnerable downstream areas in the event of heavy rainfall upstream. The structure of the designed system consists of these following components: (1) real-time hydro-meteorological monitoring network, (2) IoT communication infrastructure (Global System for Mobile Communications (GSM), General Packet Radio Service (GPRS), wireless networks), (3) database management system (bio-physical, socio-economic, hydro-meteorological, and inundation), (4) simulating and predicting model (SWAT, HEC–RAS), (5) automated simulating and predicting module, (6) flood warning module via short message service (SMS), (7) WebGIS, application for providing and managing hydro-meteorological and inundation data, and (8) users (citizens and government officers). The entire operating processes of the flood warning system (i.e., hydro-meteorological data collecting, transferring, updating, processing, running SWAT and HEC–RAS, visualizing) are automated. A complete flood warning system for the VGTB river basin has been developed as an outcome of this study, which enables the prediction of flood events 5 h in advance and with high accuracy of 80%.


2013 ◽  
Vol 365-366 ◽  
pp. 468-473
Author(s):  
Qian Su ◽  
Wei Jiang ◽  
Xiao Xi Zhang ◽  
Yu Jie Li ◽  
Ling Ling Yang

foreign matter invasion is a disastrous hazard regarding the safety and stability of high speed railway. Considering the fact that foreign matter invasion forecast is not matured yet,development of foreign matter invasion warning system is a very important countermeasure for foreign matter invasion disaster mitigation. Basic principles of the foreign matter invasion warning system and its application to railways are presented. The state-of-the-art of the foreign matter invasion warning systems for high speed railways around the world is introduced. Main points in development of the foreign matter invasion warning system for high speed railways are discussed, including layout of monitoring stations and monitoring means selection, with particular attention paid to railway safety operations. The present review is expected to be of significance to the development of the early warning system for high-speed railways in China.


2019 ◽  
Vol 7 (1) ◽  
pp. 13-18
Author(s):  
Silvia Soledad Moreno Gutiérrez ◽  
Jesús Cornejo Álvarez ◽  
Edgar Abraham Gudiño Olguín ◽  
Mónica García Munguía ◽  
Sócrates López Pérez

La seguridad alimentaria juega un papel crucial para la supervivencia humana, hoy en día se ve amenazada mundialmente por la variabilidad climática y por los efectos adversos que este fenómeno ha ocasionado sobre los cultivos de maíz, que, conjuntamente con el arroz y el trigo conforman el alimento más importante del mundo. Siendo el maíz uno de los cultivos más dañados por el cambio climático, es prioritario monitorear su desarrollo de manera precisa y con mayor frecuencia que la actual. Al respecto, la revisión de la literatura expresa la ausencia de herramientas computacionales de alta precisión y bajo costo que apoyen al agricultor en esta tarea, por ello, se construyó una red neuronal artificial de aprendizaje hibrido capaz de monitorear el desarrollo del cultivo e identificar posibles deficiencias de forma oportuna con una precisión del 98%; de esta forma la propuesta contribuye a reducir pérdidas y apoya la seguridad alimentaria. Food security plays a crucial role for human survival, today it is threatened globally by climate variability and the adverse effects that this phenomenon has caused corn crops, which, together with rice and Wheat make up the most important food in the world. Corn being one of the crops most damaged by climate change, it is a priority to monitor their development of precise way and more frequently than the current one. In this regard, the literature review expresses the absence of high precision and low cost computational tools that support the farmer in this task, therefore, an artificial neural network of hybrid learning capable of monitoring crop development and identifying possible deficiencies in a timely manner with an accuracy of 98%; in this way the proposal contributes to reducing losses and supports food security


Subject Climate change and Central America. Significance Costa Rica on February 24 launched an ambitious plan to achieve zero net carbon emissions by 2050. The announcement follows grave warnings by the Intergovernmental Panel on Climate Change of the impending impacts of global warming and comes as the region suffers another season of drought. Extreme weather phenomena are becoming a regular occurrence across Central America -- a region local governments consider to be among the most vulnerable in the world to climate change. Impacts Extreme weather threatens tourism income, with hurricanes capable of crippling tourism sectors in a matter of hours. Costa Rica and Panama’s relative success in mitigating climate change impacts may encourage more of the region’s migrants to move south. Costa Rica’s efforts will ultimately prove meaningless if the rest of the world does not take drastic action to reduce carbon emissions.


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