Risk-level assessment system on Bengawan Solo River basin flood prone areas using analytic hierarchy process and natural breaks: Study case: East Java

Rahadianto, Haris; Fariza, Arna; Hasim, Jauari Akhmad Nur

doi:10.1109/icodse.2015.7436997

Cited by 14 publications

(4 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The "Jenks natural breaks classification method", also referred to as the "Jenks optimization method", was developed as a data clustering method to find the best way to classify values (Fariza et al, 2016). In order to do this, it is necessary to maximize the divergence of each class's mean from the means of the other groups while minimizing the average deviation of each class from the mean of the class (Rahadianto et al, 2015). Another way to say it is that the strategy Flash flood is common in the northeastern and eastern parts without an alarm system and is responsible for devastating damages.…”

Section: Susceptibility Assessment Of Flood Hazardmentioning

confidence: 99%

RETRACTED: Evaluating the impact of climate change and geo‐environmental factors on flood hazards in India: An integrated framework

et al. 2023

View full text Add to dashboard Cite

Among several devastating natural hazards, flooding is a common and serious threat to society causing huge loss of lives, properties, and infrastructure throughout the world. The intensity and frequency of this extreme weather event are expected to increase due to significant changes in the present‐day climate and land use and land cover (LULC) pattern. India has a very systematic and organized structural program and policies but lacks proper implementations, and adverse effect of climate change and the extreme event goes on in society. This paper is an analysis of floods in India and hazards due to climate change and LULC change patterns. Three models, namely “Eco‐biogeography‐based optimization (EBO), Random forest (RF), and Support vector machine (SVM)” were used to obtain the final output to prepare a “Flood susceptibility map”. The result was validated through the “Receiver operating characteristics (ROC)” with “Area under curve (AUC)” values. The future rainfall scenario has been estimated by considering the “General circulation models” through different “shared socioeconomic pathways (SSPs)”. The values of AUC are 0.915 (EBO), 0.887 (RF), and 0.869 (SVM), respectively. After consideration of different SSPs, the result shows that there is an increasing tendency of flood hazards in the projected period. Among all the employed modelling approaches, the EBO model has notable potential in delineating the possible flood‐prone regions for effective flood planning and management. Decision‐makers can benefit from country‐specific information and regional planner to implement sustainable and long‐term measures to overcome this type of hazardous situation.

show abstract

Section: Susceptibility Assessment Of Flood Hazardmentioning

confidence: 99%

RETRACTED: Evaluating the impact of climate change and geo‐environmental factors on flood hazards in India: An integrated framework

et al. 2023

View full text Add to dashboard Cite

show abstract

“…From the perspective of the overall value, the CVS in Wuchang is distributed within the range of [0.018, 0.728], and the mean is 0.251. By calculating the Goodness of Variance Fit ( 87 , 88 ) (GVF) of the CVS, it can be known that when the number of classifications is equal to 9, it is the inflection point of the GVF curve ( 89 ). Therefore, this study uses the natural breaks method in ArcGIS to divide the CVS into 9 categories.…”

Section: Resultsmentioning

confidence: 99%

Constructing the Quality Measurement Model of Street Space and Its Application in the Old Town in Wuhan

Wan

Sun

2022

Front. Public Health

View full text Add to dashboard Cite

The quality of street space is the comprehensive suitability evaluation from the objective physical environments and the subjective pedestrian perception. Since the existing quality measurement models of street space do not consider both subjective and objective aspects, it is difficult for planners to accurately locate the low-quality streets that need to be regenerated. To solve this problem, this study proposes a new 5D+3S measurement model for street space quality evaluation. This model incorporates the widely acknowledged 5D dimensions of the physical environments (Design, Destination accessibility, Distance to transit, Density, and Diversity), and the 3S dimensions (Sociality, Safety, and Status) of walking perception derived from the keywords clustering on relevant literature. To test the validity of the proposed model, this study makes a comparative analysis on the results of the public assessment, expert scoring, and model measurement to verify whether the measurement results are objective and convincing. The results show that the quality grade obtained by the proposed measurement model is highly consistent with the subjective evaluation outcomes of the public and experts. Thus, the proposed measurement model is effective in quality measurement of the street space, which provides a new idea for future large-scale diagnosis of city public space quality.

show abstract

“…Based on the average of all values within the same class, the average deviation is minimized and the variance between each class is maximized [39]. Particularly, it is a method to reduce the variance within a class and maximize the variance between classes [40]. It requires a process of repeating the calculations using different breaks in a dataset to determine the set of breaks with the smallest within-class variance.…”

Section: ) Jenks Natural Breaks Classificationmentioning

confidence: 99%

Generation of Ship’s Passage Plan Using Data-Driven Shortest Path Algorithms

et al. 2022

View full text Add to dashboard Cite

In this study, an approach for generating the shortest-distance passage plan for a ship is proposed considering the navigable area obtained based on automatic identification system data. The navigable area is designated based on the information from the electronic navigational chart and by considering the ship traffic density using Jenks natural breaks classification. The shortest-path algorithms used in our experiment are the Dijkstra, A*, and improved A*. Then, the Douglas-Peucker algorithm is applied to generate an optimal result by supplementing the passage plan generated by the best-performing shortest-path algorithm. The experiment was divided into two cases depending on whether or not the passage plan covered the target area of this study, namely, the vessel traffic service system control area of Busan Port between Busan New Port and Ulsan Port. The improved A* performed better than Dijkstra and A* in these two cases. Subsequently, the distance of the final passage plan was 98.649 km in the case of passing through the control area and 105.365 km in the case of bypassing, which were less than the distances in the passage plan of the actual ship by approximately 13.18% and 7.27%, respectively. The experimental results of the proposed approach show the possibility of automatically establishing the shortest-distance passage plan for a ship considering the navigable area. In addition, this study suggests an effective approach for coastal navigation, which is more complex than ocean navigation. Further, this study can serve as a basis for generating passage plans for maritime autonomous surface ships.

show abstract

Risk-level assessment system on Bengawan Solo River basin flood prone areas using analytic hierarchy process and natural breaks: Study case: East Java

Cited by 14 publications

References 2 publications

RETRACTED: Evaluating the impact of climate change and geo‐environmental factors on flood hazards in India: An integrated framework

RETRACTED: Evaluating the impact of climate change and geo‐environmental factors on flood hazards in India: An integrated framework

Constructing the Quality Measurement Model of Street Space and Its Application in the Old Town in Wuhan

Generation of Ship’s Passage Plan Using Data-Driven Shortest Path Algorithms

Contact Info

Product

Resources

About