scholarly journals Study on Risk Communication Model of Stakeholders in the Flood Control of River Basin Based on the IOI Technology

Author(s):  
Yi Liang ◽  
Chongfu Huang
Author(s):  
Seiichi Kagaya ◽  
Tetsuya Wada

AbstractIn recent years, it has become popular for some of countries and regions to adapt the system of governance to varied and complex issues concerned with regional development and the environment. Watershed management is possibly the best example of this. It involves flood control, water use management and river environment simultaneously. Therefore, comprehensive watershed-based management should be aimed at balancing those aims. The objectives of this study are to introduce the notion of environmental governance into the planning process, to establish a method for assessing the alternatives and to develop a procedure for determining the most appropriate plan for environmental governance. The planning process here is based on strategic environment assessment (SEA). To verify the hypothetical approach, the middle river basin in the Tokachi River, Japan was selected as a case study. In practice, after workshop discussions, it was found to have the appropriate degree of consensus based on the balance of flood control and environmental protection in the watershed.


2021 ◽  
pp. 097206342098309
Author(s):  
Ahmed Farouk Radwan ◽  
Sheren Ali Mousa

Government communication introduced important lessons during the worldwide experience with the COVID-19 pandemic. It is important to apply known efficacious principles of risk and health communication strategies. The purpose of the study is to depict and explore the United Arab Emirates government communication scenario in tackling the COVID-19 pandemic as well as look at the types of strategies, information and messages delivered via digital mediums to handle challenges that are raised based on the Crisis and Emergency Risk Communication model. The study includes a qualitative analysis of two government bodies’ digital platforms: ‘The Ministry of Health and Prevention’ (mohap) and ‘Crisis and Disasters Management Authority’. Results indicated that the UAE government used different communication aims and strategies to face the pandemic according to the risk management scenario. In the quarantine phase, communication focused on giving people information about the disease, raising awareness about the disease, motivating health and behaviour change, informing people about government decisions and procedures. In the coexistence phase communication focused on emphasising the necessity of adherence the health measures, providing information on re-work in institutions and commercial centres, involving people in the health and social initiatives, confronting non-compliance with health precautions. Government communication also focused on facing rumours and false information. UAE government communication used digital platforms and social media to address more than 200 nationalities living in the state for ensuring that they adhere to the precautionary measures and coordinate with the authorities. Government communication was committed to a set of values including equality between citizens of the state and residents, societal and individual responsibility, recognising the frontline medical staff and acknowledging their sacrifices. UAE implemented an integrated, coherent and effective scenario to deal with the crisis. It developed risk communication strategies in health communication to manage the COVID-19 crisis by following international standards and also took into account its own political, economic, social and cultural features. The UAE government used many strategies to inform and convince people including clarification of measures strategy, reassurance strategy, ambiguity reduction strategy, behaviour efficacy strategy, correcting misinformation and rumours, advising strategy.


1997 ◽  
Vol 22 (4) ◽  
pp. 252-258 ◽  
Author(s):  
Tadahiko Nakao ◽  
Koji Tanimoto

2018 ◽  
Vol 2018 ◽  
pp. 1-15 ◽  
Author(s):  
Chenkai Cai ◽  
Jianqun Wang ◽  
Zhijia Li

Recently, the use of the numerical rainfall forecast has become a common approach to improve the lead time of streamflow forecasts for flood control and reservoir regulation. The control forecasts of five operational global prediction systems from different centers were evaluated against the observed data by a series of area-weighted verification and classification metrics during May to September 2015–2017 in six subcatchments of the Xixian Catchment in the Huaihe River Basin. According to the demand of flood control safety, four different ensemble methods were adopted to reduce the forecast errors of the datasets, especially the errors of missing alarm (MA), which may be detrimental to reservoir regulation and flood control. The results indicate that the raw forecast datasets have large missing alarm errors (MEs) and cannot be directly applied to the extension of flood forecasting lead time. Although the ensemble methods can improve the performance of rainfall forecasts, the missing alarm error is still large, leading to a huge hazard in flood control. To improve the lead time of the flood forecast, as well as avert the risk from rainfall prediction, a new ensemble method was proposed on the basis of support vector regression (SVR). Compared to the other methods, the new method has a better ability in reducing the ME of the forecasts. More specifically, with the use of the new method, the lead time of flood forecasts can be prolonged to at least 3 d without great risk in flood control, which corresponds to the aim of flood prevention and disaster reduction.


2008 ◽  
Vol 9 (4_suppl) ◽  
pp. 83S-87S ◽  
Author(s):  
Anne M. Hewitt ◽  
Susan S. Spencer ◽  
Rameshsharma Ramloll ◽  
Heidi Trotta

Developed by the Center for Disease Control and Prevention in 2002, the Crisis Emergency and Risk Communication (CERC) training module is a nationally and internationally recognized communication model. With the looming threat of a pandemic and the potential for a protracted ongoing siege, a valuable opportunity exists to introduce crisis and emergency preparedness communication best practices to a new population—health care managers and administrators. The CERC toolkit and resources, provide an easy, turn-key solution and a validated template for educators who are not directly involved in public health education but desire to share this content. In this example, graduate students enrolled in an Master of Health Administration program, used a Play2Train scenario, located in the virtual learning environment of SecondLife (2007), to incorporate concepts from the CERC model. By applying the CERC best practices in a real-time virtual learning scenario, students learned collaboration and the leadership competencies necessary to help implement Joint Commission on Accreditation of Health Organizations emergency communication protocols and community collaboration requirements. By expanding the impact of the CERC model and developing unified risk communication responses and information sharing, all health professionals can enhance the effectiveness of their emergency preparedness plans so that the public can be better served.


2013 ◽  
Vol 52 (4) ◽  
pp. 802-818 ◽  
Author(s):  
Seong-Sim Yoon ◽  
Deg-Hyo Bae

AbstractMore than 70% of South Korea has mountainous terrain, which leads to significant spatiotemporal variability of rainfall. The country is exposed to the risk of flash floods owing to orographic rainfall. Rainfall observations are important in mountainous regions because flood control measures depend strongly on rainfall data. In particular, radar rainfall data are useful in these regions because of the limitations of rain gauges. However, radar rainfall data include errors despite the development of improved estimation techniques for their calculation. Further, the radar does not provide accurate data during heavy rainfall in mountainous areas. This study presents a radar rainfall adjustment method that considers the elevation in mountainous regions. Gauge rainfall and radar rainfall field data are modified by using standardized ordinary cokriging considering the elevation, and the conditional merging technique is used for combining the two types of data. For evaluating the proposed technique, the Han River basin was selected; a high correlation between rainfall and elevation can be seen in this basin. Further, the proposed technique was compared with the mean field bias and original conditional merging techniques. Comparison with kriged rainfall showed that the proposed method has a lesser tendency to oversmooth the rainfall distribution when compared with the other methods, and the optimal mean areal rainfall is very similar to the value obtained using gauges. It reveals that the proposed method can be applied to an area with significantly varying elevation, such as the Han River basin, to obtain radar rainfall data of high accuracy.


The correct assessment of amount of sediment during design, management and operation of water resources projects is very important. Efficiency of dam has been reduced due to sedimentation which is built for flood control, irrigation, power generation etc. There are traditional methods for the estimation of sediment are available but these cannot provide the accurate results because of involvement of very complex variables and processes. One of the best suitable artificial intelligence technique for modeling this phenomenon is artificial neural network (ANN). In the current study ANN techniques used for simulation monthly suspended sediment load at Vijayawada gauging station in Krishna river basin, Andhra Pradesh, India. Trial & error method were used during the optimization of parameters that are involved in this model. Estimation of suspended sediment load (SSL) is done using water discharge and water level data as inputs. The water discharge, water level and sediment load is collected from January 1966 to December 2005. This approach is used for modelled the SSL. By considering the results, ANN has the satisfactory performance and more accurate results in the simulation of monthly SSL for the study location.


Author(s):  
Koyo OTA ◽  
Takehiko ITO ◽  
Shiho ONOMURA ◽  
Tomoya KATAOKA ◽  
Yasuo NIHEI
Keyword(s):  

Water ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 643 ◽  
Author(s):  
Xuan Liu ◽  
Mingxiang Yang ◽  
Xianyong Meng ◽  
Fan Wen ◽  
Guangdong Sun

The construction and operation of cascade reservoirs has changed the natural hydrological cycle in the Yalong River Basin, and reduced the accuracy of hydrological forecasting. The impact of cascade reservoir operation on the runoff of the Yalong River Basin is assessed, providing a theoretical reference for the construction and joint operation of reservoirs. In this paper, eight scenarios were set up, by changing the reservoir capacity, operating location, and relative location in the case of two reservoirs. The aim of this study is to explore the impact of the capacity and location of a single reservoir on runoff processes, and the effect of the relative location in the case of joint operation of reservoirs. The results show that: (1) the reservoir has a delay and reduction effect on the flood during the flood season, and has a replenishment effect on the runoff during the dry season; (2) the impact of the reservoir on runoff processes and changes in runoff distribution during the year increases with the reservoir capacity; (3) the mitigation of flooding is more obvious at the river basin outlet control station when the reservoir is further downstream; (4) an arrangement with the smaller reservoir located upstream and the larger reservoir located downstream can maximize the benefits of the reservoirs in flood control.


Sign in / Sign up

Export Citation Format

Share Document