Assessing causes and associated water levels for an urban flood using hydroinformatic tools

Abstract Flood events are dependent on meteorological conditions but also depend on several other factors that are case specific, with relevance for reservoir operation. Hydrological and hydrodynamic models are valuable tools for understanding complex river hydrodynamics during flood events. These tools have been applied to improve understanding of the causes for an urban flood event that occurred between 9 and 11 January 2016 in the Mondego river basin, at Coimbra city (Portugal). Seven different factors that can, independently, influence the river flow at the study site were identified: three of them can be associated with the operational discharge schemes of the three upstream dams; two factors with the runoff flows from uncontrolled contributing sub-basins; another one related to discharge measurement uncertainty at a downstream dam; and finally, the seventh studied factor was sedimentation occurring in the main channel of the flooded river stretch. Hydroinformatic tools were applied in different scenarios allowing the characterization and identification of each one of the identified key factors responsible for the flood event. A proposal for a flood early warning system is presented based on the knowledge resulting from the studied flood event.

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Application of Hydroinformatic Tools for Reservoirs Discharges Rules Assessment During a Flood Event

10.29007/2r8m ◽

2018 ◽

Author(s):

José Pinho ◽

Luís Vieira ◽

Jose Vieira ◽

Stênio Venâncio ◽

Nuno Simões ◽

...

Keyword(s):

Detailed Analysis ◽

Water Levels ◽

Flood Event ◽

Direct Influence ◽

Flood Events ◽

Key Factors ◽

Hydrodynamic Models ◽

Flow Rates ◽

Flooded Areas

Hydrological and hydrodynamic models are valuable tools for understanding complex river hydrodynamics behavior during flood events. These tools have been applied to develop a detailed study of the flood event occurred between 9 and 11 January 2016 in the river Mondego basin, causing severe floods at Coimbra city (Portugal). The study included the characterization of the operational discharge schemes of three upstream dams with direct influence on flow rates in the river basin, and the runoff flows from contributing catchments. A detailed analysis on hydrodynamic water levels at the flooded areas influenced by the operation of a downstream dam and the local river morphodynamics was performed. Hydroinformatic tools were applied in different scenarios allowing the characterization and identification of the key factors responsible for the flood event and contributing to emphasize the need to comply with the established rules for the discharges at the upstream dams during flood events.

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Urban Storm Flooding: Characteristics and Management in Beijing

MATEC Web of Conferences ◽

10.1051/matecconf/201824601042 ◽

2018 ◽

Vol 246 ◽

pp. 01042 ◽

Cited By ~ 1

Author(s):

Chao-chen Fu ◽

Jia-hong Liu ◽

Hao Wang ◽

Chen-yao Xiang ◽

Xiao-ran Fu ◽

...

Keyword(s):

Management System ◽

Flood Control ◽

Public Awareness ◽

Warning System ◽

Flood Events ◽

Land Utilization ◽

Urban Flood ◽

Flood Warning ◽

Extreme Storm ◽

Urban Storm

Beijing is located on the North China Plain with five rivers, which belong to the Hai River Basin. Its continental monsoon climate with uneven precipitation distribution is extreme likely lead to serious urban flood disasters. According to the disaster results, urban storm flood in Beijing can be classified into four types. Here typical extreme storm flood events and their characteristics in Beijing were analyzed in detail. It showed that storm flood events in recently decades had a trend, which centered in a relatively small area with high intensity and short duration. The main reasons of urban storm flood disaster were urbanization and basic facilities with low flood and drainage standard. Urbanization means land utilization significantly altering hydraulic processes, and extreme storm can easily exceed those facilities capacity. In order to deal with urban storm flood, Beijing government have taken four measurements, which were upgrading and reconstruction of rainwater pumping stations, improving projects of small and medium rivers, building sponge city, and implementing the West Suburb Storm-water Regulation Project. In addition, the flood warning and emergency management system has been established. Furthermore, some measurements were pointed to be done in the future, including improvement of the flood control management system, improvement of flood control plans, strengthening flood warning system, and strengthening social management and public awareness of flood prevention. With these improvements of management and engineering measurements, it can be more secure under intensive storms in Beijing. These experiences of flood control in Beijing can provide references for other cities.

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Simulating historical flood events at the continental scale: observational validation of a large-scale hydrodynamic model

Natural Hazards and Earth System Science ◽

10.5194/nhess-21-559-2021 ◽

2021 ◽

Vol 21 (2) ◽

pp. 559-575

Author(s):

Oliver E. J. Wing ◽

Andrew M. Smith ◽

Michael L. Marston ◽

Jeremy R. Porter ◽

Mike F. Amodeo ◽

...

Keyword(s):

Large Scale ◽

River Flow ◽

Flood Hazard ◽

Model Performance ◽

Water Levels ◽

Hazard Models ◽

Flood Events ◽

Design Flood ◽

Validation Data ◽

Continental Scale

Abstract. Continental–global-scale flood hazard models simulate design floods, i.e. theoretical flood events of a given probability. Since they output phenomena unobservable in reality, large-scale models are typically compared to more localised engineering models to evidence their accuracy. However, both types of model may share the same biases and so not validly illustrate their predictive skill. Here, we adapt an existing continental-scale design flood framework of the contiguous US to simulate historical flood events. A total of 35 discrete events are modelled and compared to observations of flood extent, water level, and inundated buildings. Model performance was highly variable, depending on the flood event chosen and validation data used. While all events were accurately replicated in terms of flood extent, some modelled water levels deviated substantially from those measured in the field. Despite this, the model generally replicated the observed flood events in the context of terrain data vertical accuracy, extreme discharge measurement uncertainties, and observational field data errors. This analysis highlights the continually improving fidelity of large-scale flood hazard models, yet also evidences the need for considerable advances in the accuracy of routinely collected field and high-river flow data in order to interrogate flood inundation models more comprehensively.

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Simulating historical flood events at the continental-scale: observational validation of a large-scale hydrodynamic model

10.5194/nhess-2020-344 ◽

2020 ◽

Author(s):

Oliver E. J. Wing ◽

Andrew M. Smith ◽

Michael L. Marston ◽

Jeremy R. Porter ◽

Mike F. Amodeo ◽

...

Keyword(s):

Large Scale ◽

River Flow ◽

Flood Hazard ◽

Model Performance ◽

Water Levels ◽

Hazard Models ◽

Flood Events ◽

Design Flood ◽

Validation Data ◽

Continental Scale

Abstract. Continental–global scale flood hazard models simulate design floods: theoretical flood events of a given probability. Since they output phenomena unobservable in reality, large-scale models are typically compared to more localised engineering models to evidence their accuracy. However, both types of model may share the same biases and so not validly illustrate predictive skill. Here, we adapt an existing continental-scale design flood framework of the contiguous US to simulate historical flood events. 35 discrete events are modelled and compared to observations of flood extent, water level, and inundated buildings. Model performance was highly variable depending on the flood event chosen and validation data used. While all events were accurately replicated in terms of flood extent, some modelled water levels deviated substantially from those measured in the field. In spite of this, the model generally replicated the observed flood events in the context of terrain data vertical accuracy, extreme discharge measurement uncertainties, and observational field data errors. This analysis highlights the continually improving fidelity of large-scale flood hazard models, yet also evidences the need for considerable advances in the accuracy of routinely collected field and high river flow data in order to interrogate flood inundation models more comprehensively.

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Spectral–time analysis of cycle fluctuations in lake water levels in Belarus and Poland

Limnological Review ◽

10.2478/limre-2020-0001 ◽

2020 ◽

Vol 20 (1) ◽

pp. 3-11

Author(s):

Alexander A. Volchak ◽

Ivan Kirvel ◽

Adam Choiński ◽

Sergey I. Parfomuk ◽

Pavel Kirvel ◽

...

Keyword(s):

Complex Analysis ◽

Water Levels ◽

Anthropogenic Influence ◽

Level Fluctuation ◽

Key Factors ◽

Time Analysis ◽

Two Factors ◽

The Mean ◽

Annual Water ◽

Continental Climate

AbstractOn the basis of the mean volume of annual water levels of 25 lakes (9 Belarusian and 16 Polish) over a period of 55 years (1956-2010) spectral time analysis of water fluctuations has been executed. The choice of the lakes was based on two factors, i.e. the continuous period of observation and insignificant anthropogenic influence. The complex analysis of water level fluctuation cycles has shown that for Belarus the cycles observed most often were 3, 5 and 10-year cycles. Polish lakes also have three cycles, but in the majority of them they amount to 5 and 10-years. It can be assumed that this is impacted by the continental climate growing to the east. Most probably it is one of the key factors defining the diversity of water fluctuations in all the analyzed lakes.

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Development of Fragility Curves for Piping and Slope Stability of River Levees

Water ◽

10.3390/w13050738 ◽

2021 ◽

Vol 13 (5) ◽

pp. 738

Author(s):

Nicola Rossi ◽

Mario Bačić ◽

Meho Saša Kovačević ◽

Lovorka Librić

Keyword(s):

Slope Stability ◽

Fragility Curves ◽

Safety Margin ◽

Water Levels ◽

Flood Event ◽

Soil Parameters ◽

Design Code ◽

A Site ◽

Insight Into

The design code Eurocode 7 relies on semi-probabilistic calculation procedures, through utilization of the soil parameters obtained by in situ and laboratory tests, or by the means of transformation models. To reach a prescribed safety margin, the inherent soil parameter variability is accounted for through the application of partial factors to either soil parameters directly or to the resistance. However, considering several sources of geotechnical uncertainty, including the inherent soil variability, measurement error and transformation uncertainty, full probabilistic analyses should be implemented to directly consider the site-specific variability. This paper presents the procedure of developing fragility curves for levee slope stability and piping as failure mechanisms that lead to larger breaches, where a direct influence of the flood event intensity on the probability of failure is calculated. A range of fragility curve sets is presented, considering the variability of levee material properties and varying durations of the flood event, thus providing crucial insight into the vulnerability of the levee exposed to rising water levels. The procedure is applied to the River Drava levee, a site which has shown a continuous trend of increased water levels in recent years.

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Prototyping of Flooding Early Warning System using Internet of Things Technology and Social Media

MATEC Web of Conferences ◽

10.1051/matecconf/201819716003 ◽

2018 ◽

Vol 197 ◽

pp. 16003

Author(s):

Aris Haris Rismayana ◽

Castaka Agus Sugianto ◽

Ida Bagus Budiyanto

Keyword(s):

Social Media ◽

Internet Of Things ◽

Water Level ◽

Water Distribution ◽

Warning System ◽

Integrated System ◽

Water Levels ◽

Prototype System ◽

The Status ◽

Internet Of Things Technology

When the rainy season arrives, flooding is a common phenomenon. Almost every street, housing, village, river, even in the city center, wherever floods can occur. One effort to prevent the flooding is to create a floodgate on reservoirs or dams that are used to control the water distribution. The water level at this dam must be checked frequently to anticipate if the water level is at a dangerous level. The inspection of water levels will be very difficult if it must be conducted by humans who must be available in the field at any time. This research aims to create a prototype system that can replace the human role in monitoring the dam water level condition at any time by developing an integrated system between hardware and software using IoT (Internet of Things) technology approach and social media (twitter and telegram). The developed system consists of the height sensor (distance), microcontroller and wifi module, which is placed on the water gate. This system serves to measure the water level at any time and send data in real time to the server. The results of system testing performed shows that when the system is in normal circumstances, the system sends data to the server every minute, and updates the status of water level in twitter every 5 minutes. In case the water level has exceeded a predetermined limit, the system sends data to the server every 5 seconds and passes the warning message to all registered telegram contacts.

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Using a Novel Grey DANP Model to Identify Interactions between Manufacturing and Logistics Industries in China

Sustainability ◽

10.3390/su10103456 ◽

2018 ◽

Vol 10 (10) ◽

pp. 3456 ◽

Cited By ~ 8

Author(s):

Peng Jiang ◽

Yi-Chung Hu ◽

Ghi-Feng Yen ◽

Hang Jiang ◽

Yu-Jing Chiu

Keyword(s):

Manufacturing Industry ◽

Multiple Criteria Decision Making ◽

Value Added ◽

Manufacturing Industries ◽

Direct Influence ◽

Key Factors ◽

Logistics Industry ◽

Influence Matrix ◽

Factors Affecting ◽

Two Factors

As a crucial part of producer services, the logistics industry is highly dependent on the manufacturing industry. In general, the interactive development of the logistics and manufacturing industries is essential. Due to the existence of a certain degree of interdependence between any two factors, interaction between the two industries has produced a basis for measurement; identifying the key factors affecting the interaction between the manufacturing and logistics industries is a kind of decision problem in the field of multiple criteria decision making (MCDM). A hybrid MCDM method, DEMATEL-based ANP (DANP) is appropriate to solve this problem. However, DANP uses a direct influence matrix, which involves pairwise comparisons that may be more or less influenced by the respondents. Therefore, we propose a decision model, Grey DANP, which can automatically generate the direct influence matrix. Statistical data for the logistics and manufacturing industries in the China Statistical Yearbook (2006–2015) were used to identify the key factors for interaction between these two industries. The results showed that the key logistics criteria for interaction development are the total number of employees in the transport business, the volume of goods, and the total length of routes. The key manufacturing criteria for interaction development are the gross domestic product and the value added. Therefore, stakeholders should increase the number of employees in the transport industry and freight volumes. Also, the investment in infrastructure should be increased.

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Observing river stages using unmanned aerial vehicles

10.5194/hess-2016-49 ◽

2016 ◽

Author(s):

Tomasz Niedzielski ◽

Matylda Witek ◽

Waldemar Spallek

Keyword(s):

Unmanned Aerial Vehicles ◽

Water Surface ◽

Water Levels ◽

Hydrodynamic Models ◽

Surface Areas ◽

Aerial Vehicles ◽

Potential Applications ◽

Sw Poland ◽

High Flows ◽

Student’S T

Abstract. We elaborated a new method for observing water surface areas and river stages using unmanned aerial vehicles (UAVs). It is based on processing multitemporal m orthophotomaps produced from the UAV-taken visual-light photographs of n sites of the river, acquired with a sufficient overlap in each part. Water surface areas are calculated in the first place, and subsequently expressed as fractions of total areas of water-covered terrain at a given site of the river recorded on m dates. The logarithms of the fractions are later calculated, producing m samples of size n. In order to detect statistically significant increments of water surface areas between two orthophotomaps we apply the asymptotic and bootstrapped versions of the Student's t-test, preceded by other tests that aim to check model assumptions. The procedure is applied to five orthophotomaps covering nine sites of the Ścinawka river (SW Poland). The data have been acquired during the experimental campaign, at which flight settings were kept unchanged over nearly 3 years (2012–2014). We have found that it is possible to detect transitions between water surface areas produced by all characteristic water levels (low, mean, intermediate and high stages). In addition, we infer that the identified transitions hold for characteristic river stages as well. In the experiment we detected all increments of water level: (1) from low stages to: mean, intermediate and high stages; (2) from mean stages to: intermediate and high stages; (3) from intermediate stages to high stages. Potential applications of the elaborated method include verification of hydrodynamic models and the associated predictions of high flows using on-demand UAV flights performed in near real-time as well as monitoring water levels of rivers in ungauged basins.

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Quantifying Landscape Structure of the Kelantan River Basin Before and After a Major Flood Event Using Landscape Metrics

International Journal of Geoinformatics ◽

10.52939/ijg.v17i4.1953 ◽

2021 ◽

pp. 61-67

Author(s):

H.Y. Abdul

Keyword(s):

River Basin ◽

Land Use Planning ◽

Landscape Structure ◽

Monsoon Season ◽

Integrated Approach ◽

Flood Event ◽

Northeast Monsoon ◽

Flood Events ◽

Kelantan River Basin ◽

The Impact

Over the years, flood is one of the natural hazards which occur all over the world and it is critical to be controlled through proper management. Flood in Kelantan is mainly caused by heavy rainfall brought by the Northeast monsoon starting from November to March every year. It is categorized as annual flood as it occurs every year during the Monsoon season. Severe flood events in Kelantan, Malaysia cause damage to both life and property every year and understanding landscape structure changes is very important for planners and decision makers for future land use planning and management. This research aims to quantify the landscape structure near to Kelantan River basin during the flood event using integrated approach of remote sensing (RS), geographic information system (GIS) technique and landscape ecological approach. As a result, this study provide new knowledge on landscape structure that contributes to understand the impact of flood events and provide the best ways to mitigate flooding for helping to protect biodiversity habitat and dwellers. As conclusions, this kind of study will give more benefits to various stakeholders such as Department of Irrigation and Drainage, Department of Environment, state government, fisherman and communities.

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