scholarly journals Numerical rivers: A synthetic streamflow generator for water resources vulnerability assessments

2015 ◽  
Vol 51 (7) ◽  
pp. 5382-5405 ◽  
Author(s):  
Edoardo Borgomeo ◽  
Christopher L. Farmer ◽  
Jim W. Hall
2019 ◽  
Vol 23 ◽  
pp. 19-31 ◽  
Author(s):  
Paula Williams ◽  
Andrew Kliskey ◽  
Molly McCarthy ◽  
Richard Lammers ◽  
Lilian Alessa ◽  
...  

2021 ◽  
Vol 299 ◽  
pp. 01012
Author(s):  
Lei Qiu ◽  
Ying Cao ◽  
Jingyi Huang

In view of the increased vulnerability of water resources system caused by seawater intrusion in the coastal areas of the Yellow Sea and Bohai Sea, this paper based on the VSD(Vulnerability Scoping Diagram) model to construct the water resource vulnerability evaluation index system of “exposure-sensitivity-adaptive capacity” under seawater intrusion. Then use entropy-TOPSIS method to evaluate water resource vulnerability and divide the levels. In addition, take Longkou City of Shandong Province as an example to conduct empirical research. The results show that the water resource vulnerability of Longkou City is at a strong vulnerability level. The water resources system is under obvious pressure. Population density, per capita GDP, temperature and precipitation change are the main factors of the system pressure. Seawater intrusion has a high degree of impact on water resources vulnerability and water resource system is more sensitive to groundwater level, chloride concentration and other stimuli. The improvement of water use efficiency and scientific and technological investment contribute to the significant enhancement of the adaptability of the water resources system of Longkou City.


Entropy ◽  
2021 ◽  
Vol 23 (7) ◽  
pp. 882
Author(s):  
Weizhong Chen ◽  
Yan Chen ◽  
Yazhong Feng

The vulnerability of water resources is an important criterion for evaluating the carrying capacity of water resources systems under the influence of climate change and human activities. Moreover, assessment and prediction of river basins’ water resources vulnerability are important means to assess the water resources security state of river basins and identify possible problems in future water resources systems. Based on the constructed indicator system of water resources vulnerability assessment in Song-Liao River Basin, this paper uses the neighborhood rough set (abbreviated as NRS) method to reduce the dimensionality of the original indicator system to remove redundant attributes. Then, assessment indicators’ standard values after dimensionality reduction are taken as the evaluation sample, and the random forest regression (abbreviated as RF) model is used to assess the water resources vulnerability of the river basin. Finally, based on data under three different future climate and socio-economic scenarios, scenario predictions are made on the vulnerability of future water resources. The results show that the overall water resources vulnerability of the Song-Liao River Basin has not improved significantly in the past 18 years, and the overall vulnerability of the Song-Liao River Basin is in the level V of moderate to high vulnerability. In the future scenario 1, the overall water resources vulnerability of the river basin will improve, and it is expected to achieve an improvement to the level III of moderate to low vulnerability. At the same time, the natural vulnerability and vulnerability of carrying capacity will increase significantly in the future, and the man-made vulnerability will increase slowly, which will deteriorate to the level V of moderate to high vulnerability under Scenario 3. Therefore, taking active measures can significantly reduce the vulnerability of nature and carrying capacity, but man-made vulnerability will become a bottleneck restricting the fragility of the overall water resources of the river basin in the future.


2016 ◽  
Vol 145 ◽  
pp. 900-907 ◽  
Author(s):  
Mohammad Al-Saidi ◽  
Diana Birnbaum ◽  
Renata Buriti ◽  
Elena Diek ◽  
Clara Hasselbring ◽  
...  

2013 ◽  
pp. 393-404 ◽  
Author(s):  
F. Hossain ◽  
A.M. Degu ◽  
A.T. Woldemichael ◽  
W. Yigzaw ◽  
C. Mitra ◽  
...  

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