Flash flood risk assessment in urban arid environment: case study of Taibah and Islamic universities’ campuses, Medina, Kingdom of Saudi Arabia

Abdulrazzak, Mohamed J.; Elfeki, Amro; Kamis, Ahmed Samy; Kassab, Moustafa; Al-Amri, Nassir S.; Chaabani, Anis; Noor, Kashif

doi:10.1080/19475705.2018.1545705

Cited by 49 publications

(18 citation statements)

References 16 publications

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“…In the present case, it is likely that the areas with high soil compaction may even increase the flood impacts. Poor management practices, especially in sloped areas (e.g., VINE), can enhance flood risks [84]. FOR and ORCH land uses may act as a C sink.…”

Section: Discussionmentioning

confidence: 99%

Agricultural and Forest Land-Use Impact on Soil Properties in Zagreb Periurban Area (Croatia)

et al. 2020

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In urban areas, land use usually increases soil degradation. However, there are areas occupied by agriculture and woodlands with an essential role in provisioning food and other services such as water and climate regulation. The objective of this work was to assess the effect of long-term land use and soil management practices on peri-urban soils in Zagreb (Croatia). Samples were collected at depth 0–10 cm within intensively tilled cropland (CROP) and vineyard (VINE), traditional grass-covered orchard (ORCH), and forest (FOR). The results showed that bulk density was significantly higher in VINE and CROP than in ORCH and FOR. The opposite dynamic was observed in water-holding capacity, air-filled porosity, aggregate stability, organic matter, and soil organic matter stocks (SOCS). Soil water infiltration was higher in FOR plot compared to the other plots. Overall, land-use change had a substantial impact on soil properties and SOCS, especially in CROP and VINE soils. Tillage, pesticides, and fertilizer applications were presumably the reasons for altered soil quality properties. Intensively used areas (VINE and CROPS) may reduce soil ecosystems services such as the capacity for flood retention and C sequestration.

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Section: Discussionmentioning

confidence: 99%

Agricultural and Forest Land-Use Impact on Soil Properties in Zagreb Periurban Area (Croatia)

et al. 2020

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“…Compared with qualitative assessment that rely primarily on experiential knowledge, quantitative methods that formulate facts and uncover patterns in research based on measurable data is preferred by many researchers. Methods for quantitatively assessing flood disaster risk are often based upon numerical simulations, such as hydrological model and hydrodynamic model (Dang and Kumar 2017;Abdulrazzak et al 2019). There are many commonly used models, such as SCS-CN (Kazak et al 2018), SWMM (Huang and Jin 2019), DRAINMOD (Youssef et al 2018), and so on.…”

Section: Introductionmentioning

confidence: 99%

Assessing urban flood disaster risk using Bayesian network model and GIS applications

Shen

Wang

et al. 2019

Geomatics, Natural Hazards and Risk

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With global climate change, cities face the challenge of increasing flood disaster caused by heavy rainfall, and the prediction and assessment of flood disaster risk is a crucial step towards risk mitigation and adaptation planning. In this study, a method combining Bayesian network (BN) model and geographic information system (GIS), which can capture the potential relationships between factors impacting flood disaster and has capacity of quantifying uncertainty and utilizing both data and knowledgebased sources, was proposed to assess flood disaster risk. The proposed methodology was applied in a case study to assess flood disaster risk and to diagnose the reason for flood disaster in Zhengzhou City, and the results were validated by comparing with actual situation. The results show that that the relative error of very-low, low, moderate, high and very-high risk predicted by the proposed model is 12.57%, 13.21%, 2.23%, 19.63% and 21.65%, respectively, which demonstrates the discriminative power of the established model. Based on the spatial distribution of different risk levels, it can be recognized that the flood disaster risk in Zhengzhou City is decreasing from the middle to the surroundings. The results provide some basis for the field control and management of urban flood disaster.

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“…Flood risk was assessed under three criteria i.e. ; Economic/Monetary, Social and, Environmental (Table 1) [21][22][23]. Historic flood extents were extracted from primary and secondary sources using reports and multi-temporal satellitebased products taking water flow as reference for low, medium, and high floods.…”

Section: Methodsmentioning

confidence: 99%

Flood Risk Assessment and Mitigation Strategy – Taunsa Barrage Wildlife Sanctuary, Kot Mithan – Chachran, Indus Dolphin Reserve

Ashraf¹,

Ahmad²,

Ashraf³

2021

Pol. J. Environ. Stud.

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Flood risk management comprises two phases; the first deals with risk analysis and assessment while the second considers risk prevention and mitigation. Geographic Information System (GIS) and Remote Sensing (RS) based multi-thematic scenario is developed, risk extent and quantity were calculated at multiple levels. Taunsa Barrage Wildlife Sanctuary was selected as study area. Assets at risk were estimated in numbers showing annual average damage per unit area and coverage maps show their distribution pattern. Risk zonation layers were also developed to estimate the risk extent in terms of high, medium, and low risk. Population data were acquired and analyzed to find out inhabitants at different risk categories. Similarly, erosion and accretion layers were extracted from temporal land cover/land use datasets to analyze environmental risk. Results of flood inundation were utilized for flood depth analysis. During the 2010 Flood, almost 4200 small and large villages/towns were inundated. Out of 4,200, approximately 1,750 villages/towns are on the right bank and the remaining 2,450 are on the left bank which highlights high economic and financial risk. However, all methods chosen here to estimate the different risk criteria (inundation modeling as well as damage evaluation) are approximate approaches but develop a strong foundation for decision-makers.

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Flash flood risk assessment in urban arid environment: case study of Taibah and Islamic universities’ campuses, Medina, Kingdom of Saudi Arabia

Cited by 49 publications

References 16 publications

Agricultural and Forest Land-Use Impact on Soil Properties in Zagreb Periurban Area (Croatia)

Agricultural and Forest Land-Use Impact on Soil Properties in Zagreb Periurban Area (Croatia)

Assessing urban flood disaster risk using Bayesian network model and GIS applications

Flood Risk Assessment and Mitigation Strategy – Taunsa Barrage Wildlife Sanctuary, Kot Mithan – Chachran, Indus Dolphin Reserve

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