Analysis of the Kura River flooding in Azerbaijan territory in 2010 based on Hydrometeorologicall Observation and Remote Sensing

Aghayev, Amil; Mahmudov, Rza

doi:10.30897/ijegeo.514468

Cited by 3 publications

(1 citation statement)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…early warning systems). The relationship between various factors and flood risk has not been fully investigated so far by the scientists (Farhan et al, 2018;Aghayev & Mahmudov, 2019;Badalova et al, 2019). Measuring flood risk from a variety of natural and socio-economic factors will allow us to assess how flood risk will change in response to changes in population, climate and land use conditions, and how flood mitigation policy can potentially reduce the flood risk.…”

Section: Introductionmentioning

confidence: 99%

Calculation of Flood Risk Index for Yesilirmak Basin-Turkey

Menteş¹,

Kaya

Tanık³

et al. 2019

International Journal of Environment and Geoinformatics

View full text Add to dashboard Cite

Flood risk, in the sense of damage that a 'flood event' can cause, was globally indexed and quantified to show the relationship between various natural and social factors. The Pressure and Release (PAR) model consisting of five key indexes, namely hazard, exposure, vulnerability, capacity soft countermeasures, and capacity hard countermeasures along with the entropy method was used to measure the uncertainty in information gathered. In this study, flood risk index was calculated for Yeşilırmak Basin of Turkey based on PAR. The basin is one of the coastal watersheds of Turkey experiencing frequent flood events. Damage data covering years from 2000 to 2015 have been obtained from the Ministry of Agriculture and Forestry for Turkey. Candidate data for hazard, vulnerability, countermeasures and exposure were collected in accordance with temporal and spatial scales, and the collected data were compiled on a watershed basis. When grouping the sub-indicators, AWDO (Asian Water Development Outlook) was used and selected from a group of parameters covering a wide range of characteristics such as economy, health, vegetation, population, river according to their global presence, and data consistency. As long-term data accessibility was highly limited under basin conditions, data was obtained from relatively more reliable global sources such as United Nations' databases on which data has been collected annually. The correlation among the collected parameter values was calculated based on the amount of damage that had occurred, and data with high correlation was included in the index account. Parameters that were not screened were rather weighted by using the entropy method and their effect on flood damage were determined. The calculated flood risk index based on PAR model was named as Yeşilırmak Basin Flood Risk Index (Y-FRI). The resulting Y-FRI radar charts indicated that the most important variation occurred for the soft countermeasure index. In addition, the five main indices and the flood risk index was positively correlated with hazard, exposure and vulnerability indices, while negatively correlated with the countermeasures. This study showed that not only the hazard parameters directly contribute to flood formation, but also the vulnerability, exposure and countermeasure parameters that reflected the conditions of the region where the flood occurred have quantitatively influenced the flood damage.

show abstract

Section: Introductionmentioning

confidence: 99%

Calculation of Flood Risk Index for Yesilirmak Basin-Turkey

Menteş¹,

Kaya

Tanık³

et al. 2019

International Journal of Environment and Geoinformatics

View full text Add to dashboard Cite

show abstract

Flood Mapping Using Sentinel-1 SAR Data: A Case Study of Ordu 8 August 2018 Flood

Tavus¹,

Kocaman²,

Nefeslioğlu³

et al. 2019

International Journal of Environment and Geoinformatics

View full text Add to dashboard Cite

Geospatial Modelling Geomorphic Typologies of the Binahaan River, Philippines

Obbus¹,

Flordelis²,

Velos³

et al. 2021

International Journal of Environment and Geoinformatics

View full text Add to dashboard Cite

Certain characteristics defining fluvial geomorphology have been linked with a wide range of ecological events that generate effects on the vital components of river systems. The Binahaan River in Leyte, Philippines, is important for irrigation and potable water distribution but little research has been conducted about its features. Our objective was to generate baseline data on the river by developing a model showing the geomorphic typologies of its 4.5 km portion. Using Rosgen's classification, we identified 12 typologies with the following key parameters: entrenchment ratio, width-to-depth ratio, sinuosity, slope, and channel material. Typology B5cdenoting moderate values for sinuosity and the entrenchment and width-to-depth ratios, and low slope range with sand as channel materialdominated the stretch. Data show that while some parts of the river are covered with silt/clay, sand occupied 57% of the identified typologies. Furthermore, many parts of the stretch were moderately entrenched and had high widthto-depth ratios. Sand mining generally disturbed the river and caused lower recovery potential for affected areas than the rest of the stretch. The identified typologies of the Binahaan River will be significant components for future research focusing on biodiversity and its relationship with the river's geomorphology.

show abstract

Analysis of the Kura River flooding in Azerbaijan territory in 2010 based on Hydrometeorologicall Observation and Remote Sensing

Cited by 3 publications

References 3 publications

Calculation of Flood Risk Index for Yesilirmak Basin-Turkey

Calculation of Flood Risk Index for Yesilirmak Basin-Turkey

Flood Mapping Using Sentinel-1 SAR Data: A Case Study of Ordu 8 August 2018 Flood

Geospatial Modelling Geomorphic Typologies of the Binahaan River, Philippines

Contact Info

Product

Resources

About