scholarly journals Agricultural Flood Vulnerability Assessment and Risk Quantification in Iowa

2021 ◽  
Author(s):  
Enes Yildirim ◽  
Ibrahim Demir

Agricultural lands are often impacted by flooding, which results in economic losses and causes food insecurity across the world. Due to the world’s growing population, land-use alteration is frequently practiced to meet global demand. However, land-use changes combined with climate change have resulted in extreme hydrological changes (i.e., flooding and drought) in many areas. The state of Iowa has experienced several flooding events over the last couple of decades (e.g., 1993, 2008, 2014, 2016, 2019). Also, agribusiness is conducted across 85 percent of the state. In this research, we present a comprehensive assessment for agricultural flood risk in the state of Iowa utilizing most up-to-date flood inundation maps and crop layer raster datasets. The study analyzes the seasonal variation of the statewide agricultural flood risk by focusing on corn, soybean, and alfalfa crops. It also investigates the crop frequency layers and corn suitability rating datasets to reveal regions with lower or higher productivity ratings. Additionally, a terrain-based flood model is used to analyze performance against the FEMA maps. The research discusses the potential mitigation activities for the most vulnerable watersheds in the state. The analysis shows that nearly a half-million acres of cornfields and soybean fields are located in the 2-year flood zone. We also found that terrain-based flood maps are a reliable alternative for agricultural flood risk assessment based on their dynamic structure, rapid update capability, and performance compared to FEMA maps.

2019 ◽  
Vol 280 ◽  
pp. 01011 ◽  
Author(s):  
Nur Miladan ◽  
Feira Ariani ◽  
Shifa Nurul Indah Pertiwi ◽  
Raafi Setiawan ◽  
Kusumaningdyah Nurul Handayani

Urban flood risk is one of the frequent disasters in Indonesiancities. It causes the urban vulnerabilities including urban land use, community socio-economic assets, urban infrastructures and buildings. The massive urban land use changes will lead to the increase of flood riskif those changes do not manage properly. In other side, the increase offlood risk is also caused by the land use vulnerability. The assessment ofland use vulnerability on flood risk is an important element to identify theurban socio economic losses. Furthermore, the understanding of land usevulnerability could be an essential aspect for the urban land use plansrelating to the process of urban planning. This study has purpose to assessthe vulnerability of land use on flood risk in Surakarta City. This city hasseveral rivers flowing inside urban areas, and often, the flood occurrencestook place due to overflows of those rivers. This research used thedeductive approach. The data and information provided by the institutionaldocuments, and field observation. The result of the research indicated thatthe hazard level has more influence than the land use vulnerability level inthe calculation of flood risk. Furthermore, it demonstrated that the land usevulnerability level is not certainly linier correlated to the risk level.


Proceedings ◽  
2020 ◽  
Vol 30 (1) ◽  
pp. 62
Author(s):  
Zahra Kalantari ◽  
Johanna Sörensen

The densification of urban areas has raised concerns over increased pluvial flooding. Flood risk in urban areas might increase under the impact of land use changes. Urbanisation involves the conversion of natural areas to impermeable areas, causing lower infiltration rates and increased runoff. When high-intensity rainfall exceeds the capacity of an urban drainage system, the runoff causes pluvial flooding in low-laying areas. In the present study, a long time series (i.e., 20 years) of geo-referenced flood claims from property owners has been collected and analysed in detail to assess flood risk as it relates to land use changes in urban areas. The flood claim data come from property owners with flood insurance that covers property loss from overland flooding, groundwater intrusion through basement walls, as well as flooding from drainage systems; these data serve as a proxy of flood severity. The spatial relationships between land use change and flood occurrences in different urban areas were analysed. Special emphasis was placed on examining how nature-based solutions and blue-green infrastructure relate to flood risk. The relationships are defined by a statistical method explaining the tendencies whereby land use change affects flood risk.


Land ◽  
2016 ◽  
Vol 5 (3) ◽  
pp. 25 ◽  
Author(s):  
Wenjie Wang ◽  
Chuanrong Zhang ◽  
Jenica Allen ◽  
Weidong Li ◽  
Mark Boyer ◽  
...  

Author(s):  
Gerhard Berz

Windstorm disasters (including storm surges) account for about one-third of all natural disasters throughout the world (by number, fatalities and economic losses), but for more than two-thirds of the corresponding insured losses. Trend analyses reveal that major windstorm disasters and the losses generated by them have increased drastically in recent decades. Risk partnership between the state, the affected population and the insurance industry assumes a key role with regard to the windstorm hazard. Scientists, engineers and insurers must work together in formulating their requirements and shaping them in such a way that politicians can derive clearly recognizable policy options (e.g. land-use, restrictions, design-code adjustments) from them. Another important aspect is stepping up the efforts being made towards curbing climate change, which will, otherwise, exacerbate the risk in the future.


2014 ◽  
Vol 5 (2) ◽  
pp. 204-215 ◽  
Author(s):  
M. Velasco ◽  
À. Cabello ◽  
I. Escaler ◽  
J. I. Barredo ◽  
A. Barrera-Escoda

Global change, including climate, land-use and socio-economic changes, is expected to increase the stress on the entire water cycle. In the Mediterranean region, extreme events are likely to increase due to climate change. This work, framed in the EC Seventh Framework Programme project IMPRINTS, presents a methodology to obtain future flood risk maps using climate and land-use scenarios, identifying the new potential risk zones. The implementation of this methodology is applied to the Llobregat river basin case study. Two different special report on emission scenarios are used, and although the uncertainties are high, the results obtained are coincident: an increase of flood risk is observed in the whole Low Llobregat area. The climate changes affect the basin globally, increasing the risk homogeneously within the area considered. On the other hand, land-use changes represent urban growth in the floodplains, and hence, local risk increases are found in these spots.


2015 ◽  
Vol 12 (6) ◽  
pp. 6151-6177 ◽  
Author(s):  
M. Boudou ◽  
B. Danière ◽  
M. Lang

Abstract. This paper presents a diachronic appraisal of flood vulnerability of two French cities, respectively Besançon and Moissac, which have been largely impacted by two ancient floods in January 1910 and March 1930. Both flood events figured among the most significant events recorded in France during the XXth century. An analysis of historical sources allows the mapping of land use and occupation within the flood extent of the two historical floods, both in past and present contexts. It gives an insight of the complexity of flood risk evolution, at a local scale.


2013 ◽  
Vol 1 (5) ◽  
pp. 4833-4869 ◽  
Author(s):  
D. D. Alexakis ◽  
M. G. Gryllakis ◽  
A. G. Koutroulis ◽  
A. Agapiou ◽  
K. Themistocleous ◽  
...  

Abstract. Flooding is one of the most common natural disasters worldwide, leading to economic losses and loss of human lives. This paper highlights the hydrological effects of multi-temporal land use changes in flood hazard within the Yialias catchment area, located in central Cyprus. Calibrated hydrological and hydraulic models were used to describe the hydrological processes and internal basin dynamics of the three major sub-basins, in order to study the diachronic effects of land use changes. For the implementation of the hydrological model, land use, soil and hydrometeorological data were incorporated. The climatic and stream flow data were derived from rain and flow gauge stations located in the wider area of the watershed basin. In addition, the land use and soil data were extracted after the application of object oriented nearest neighbor algorithms of ASTER satellite images. Subsequently, the CA-Markov chain analysis was implemented to predict the 2020 Land use/Land cover (LULC) map and incorporate it to the hydrological impact assessment. The results denoted the increase of runoff in the catchment area due to the recorded extensive urban sprawl phenomenon of the last decade.


2020 ◽  
Vol 24 (5) ◽  
pp. 25-40
Author(s):  
Chonlatid Kittikhun ◽  
Sitang Pilailar ◽  
Suwatana Chittaladakorn ◽  
Eakawat Jhonpadit

Flood Risk Index (FRI) is the multi-criteria linked with the factors of vulnerability; exposure, susceptibility, and resilience. In order to establish local FRI, crucial local information have to be accumulated. However, under the limitation of land-use data, particular techniques were applied in this study. CA Markov model was used to analyze the past missing land-use data and, also forecast the future land-use of Pakpanang river basin under conditions of plan and without plan. The ratio changes of forest, agriculture, wetland and water, and urban areas were considered. Then, the result of LULC spatial-temporal changes was then applied to Hec-HMS and Hec-Ras , with Arc GIS extension of Hec-GeoHMS and Hec-GeoRas software, in order to evaluate the flood hydrographs and flood severity in three municipalities corresponding to 100-year return period rainfall. Afterward, the FRI of Pakpanang, Chianyai, and Hua-sai, which ranges from 0 to 1, were evaluated by using the modified FRI equations. It was found that sensitivity analysis in the area of forest on flood depth and inundation areas is incoherent. Nevertheless, without land-use planning, the changes in these three cities cause higher flood risk, where Chianyai is the riskiest as the FRIE is 0.58. Further consideration of FRIE and FRIP proportion that reveals the FRI deviation indicates that to reduce flood risk, Chianyai would need the most resources and highest effort comparison to Pakpanang and Hua-sai.


2015 ◽  
Vol 3 (2) ◽  
Author(s):  
Ma. Eugenia Valdez Pérez ◽  
María Estela Orozco Hernández ◽  
Lorena Romero-Salazar ◽  
Carlos Jorge Aguilar Ortigoza

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