International Journal of River Basin Management最新文献_第3页

Flood Susceptibility Mapping using Fuzzy Analytical Hierarchy Process for Cedar Rapids, Iowa 用模糊层次分析法绘制爱荷华州锡达拉皮兹市洪水易感性图

IF 2.5

International Journal of River Basin Management Pub Date : 2023-05-24 DOI: 10.1080/15715124.2023.2216936

Beyza Atiye Cikmaz, Enes Yildirim, I. Demir

{"title":"Flood Susceptibility Mapping using Fuzzy Analytical Hierarchy Process for Cedar Rapids, Iowa","authors":"Beyza Atiye Cikmaz, Enes Yildirim, I. Demir","doi":"10.1080/15715124.2023.2216936","DOIUrl":"https://doi.org/10.1080/15715124.2023.2216936","url":null,"abstract":"Floods affect over 2.2 billion people worldwide, and their frequency is increasing at an alarming rate compared to other natural disasters. Presidential disaster declarations have issued increasingly almost every year in Iowa for the past 30 years, indicating that the state is on the rise of flood risk. While significant scientific and technological advancement is becoming available for many flood mitigation activities, their on-the-ground consequences are hampered, among other things, by the lack of tools to quickly integrate the growing data into accessible and usable flood mitigation decisions. A multi-disciplinary approach is required, in which the underlying hydrologic processes that cause floods are closely linked with watershed-level socio-economic functions using effective collaboration tools to ensure community participation in the co-production of mitigation plans while paying attention to socio-environmental justice principles. Considering the existing limitations and needs, we conducted a flood risk assessment by utilizing geophysical and socio-economic datasets for a case study in Cedar Rapids, Iowa. Flood risk outputs are generated based on three main risk groups: geophysical-based flood risk, socioeconomic risk, and combined flood risk. Our results indicate that high- and very-high-risk flood susceptibility zones are primarily located in central urban areas with lower elevations. According to overall results, a large area of Cedar Rapids consists of a medium risk level according to the flood risk map combined with the fuzzy AHP method. The results show that high and very high-risk areas are 16% of the examined area, medium, low and very low-risk areas correspond to 84%. Besides, nearly 40% of the population lives in high to very high flood risk zones.","PeriodicalId":14344,"journal":{"name":"International Journal of River Basin Management","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49248577","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

A process-based hydrological model for continuous multi-year simulations of large-scale watersheds 基于过程的大型流域多年连续模拟水文模型

IF 2.5

International Journal of River Basin Management Pub Date : 2023-05-23 DOI: 10.1080/15715124.2023.2216937

Marcela Marcela Politano, A. Arenas, L. Weber

引用次数: 0

High-resolution assessment of riverbank erosion and stabilisation techniques with associated water quality implications 具有相关水质影响的河岸侵蚀和稳定技术的高分辨率评估

IF 2.5

International Journal of River Basin Management Pub Date : 2023-05-19 DOI: 10.1080/15715124.2023.2214866

E. Hayes, S. Higgins, D. Mullan, J. Geris

{"title":"High-resolution assessment of riverbank erosion and stabilisation techniques with associated water quality implications","authors":"E. Hayes, S. Higgins, D. Mullan, J. Geris","doi":"10.1080/15715124.2023.2214866","DOIUrl":"https://doi.org/10.1080/15715124.2023.2214866","url":null,"abstract":"Agriculture is a key contributor to poor water quality, but the sources of sediment and nutrient losses from agricultural catchments – including from riverbank erosion – are highly variable. Riverbank erosion is particularly difficult to quantify and control. Here, we developed a quick assessment approach to quantify riverbank erosion rates and associated sediment and nutrient loading rates into waterways using airborne LiDAR combined with field-collected data. We applied this approach and explored its relationships to water quality at four sites within the Blackwater catchment in Northern Ireland for two analysis periods. GIS LiDAR image differencing revealed that volume changes in riverbank elevation equated to average erosion rates which indicated spatial and temporal variability in erosion rates. Combining the erosion rates with in-situ riverbank bulk density and total extractable phosphorus content provided sediment and phosphorus loading rates. The relative differences between estimated erosion at the different sites corresponded well with in-stream suspended sediment variations, but patterns for total phosphorus concentrations were more complex. We conclude that the use of LiDAR combined with field data is an innovative means for riverbank erosion quantification. Furthermore, by using LiDAR-to-LiDAR analyses, the reductions in erosion, sediment, and phosphorus loading rates following riverbank stabilization techniques can be determined.","PeriodicalId":14344,"journal":{"name":"International Journal of River Basin Management","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49010923","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A perspective of Sustainable Livelihood Framework in Analysis of Sustainability of Rural Community Livelihoods: Evidence from Migori River Watershed Community in Kenya 农村社区生计可持续性分析中的可持续生计框架视角——来自肯尼亚Migori河流域社区的证据

IF 2.5

International Journal of River Basin Management Pub Date : 2023-05-18 DOI: 10.1080/15715124.2023.2216019

S. Opiyo, Godwin Opinde, S. Letema

引用次数: 3

Soil Erosion Estimation and Risk Assessment at Watershed Level: Case Study of Neshe Dam Watershed in Blue Nile River Basin, Ethiopia 流域层面的土壤侵蚀估算与风险评估——以埃塞俄比亚青尼罗河流域Neshe大坝流域为例

IF 2.5

International Journal of River Basin Management Pub Date : 2023-05-02 DOI: 10.1080/15715124.2023.2209324

Israel Tessema, B. Simane, K. Angassa

引用次数: 0

Modeling the impact of changing in climatic variables on streamflow of borkena river catchment, awash basin, ethiopia 埃塞俄比亚阿瓦什盆地博尔基纳河流域气候变量变化对流量影响的建模

IF 2.5

International Journal of River Basin Management Pub Date : 2023-04-06 DOI: 10.1080/15715124.2023.2200005

Kasye Shitu, Shimelis Berhanu

引用次数: 0

Residential Flood Risk in Metro Vancouver due to Climate Change using Probability Boxes 气候变化对大温哥华地区住宅洪水风险的影响

IF 2.5

International Journal of River Basin Management Pub Date : 2023-04-05 DOI: 10.1080/15715124.2023.2200006

H. Viseh, D. Bristow

引用次数: 1

Streamflow prediction using machine learning models in selected rivers of Southern India 在印度南部选定的河流中使用机器学习模型进行流量预测

IF 2.5

International Journal of River Basin Management Pub Date : 2023-03-27 DOI: 10.1080/15715124.2023.2196635

R. Sharma, Sudhanshu Kumar, D. Padmalal, Arka Roy

引用次数: 0

A multi-criteria approach for improving streamflow prediction in a rapidly urbanising data scarce catchment 一种改进快速城市化数据匮乏流域流量预测的多标准方法

IF 2.5

International Journal of River Basin Management Pub Date : 2023-03-15 DOI: 10.1080/15715124.2023.2188597

Anandharuban Panchanathan, A. Haghighi, Mourad Oussalah

引用次数: 0

Water quality decreased by urbanisation and Pinus based silviculture in Southern Brazil 巴西南部的城市化和以松木为基础的造林使水质下降

IF 2.5

International Journal of River Basin Management Pub Date : 2023-03-15 DOI: 10.1080/15715124.2023.2187398

Camila Schaefer Martins, E. L. Crisigiovanni, Paulo Costa de Oliveira Filho, E. A. Nascimento

引用次数: 0