Comparative urban capacity analysis for flood-prone areas: method and a case study of Sidoarjo, Indonesia

2021 ◽  
Author(s):  
D. R. Hizbaron ◽  
N. Ismayani ◽  
F. N. Ernawan ◽  
N. N. A. Puspitasari ◽  
Y. Yulianda ◽  
...  
Keyword(s):  
Capacity Analysis ◽  
Flood Prone Areas

Assessing flood vulnerability using a rule-based fuzzy system

2012 ◽  
Vol 66 (8) ◽  
pp. 1766-1773 ◽  
Author(s):  
J. Yazdi ◽  
S. A. A. S. Neyshabouri
Keyword(s):  
Fuzzy Rule ◽  
Vulnerability Analysis ◽  
Human Knowledge ◽  
Small Watershed ◽  
Flood Vulnerability ◽  
Rule Based ◽  
Rule Based System ◽  
Vulnerability Map ◽  
Flood Prone Areas

Population growth and urbanization in the last decades have increased the vulnerability of properties and societies in flood-prone areas. Vulnerability analysis is one of the main factors used to determine the necessary measures of flood risk reduction in floodplains. At present, the vulnerability of natural disasters is analyzed by defining the various physical and social indices. This study presents a model based on a fuzzy rule-based system to address various ambiguities and uncertainties from natural variability, and human knowledge and preferences in vulnerability analysis. The proposed method is applied for a small watershed as a case study and the obtained results are compared with one of the index approaches. Both approaches present the same ranking for the sub-basin's vulnerability in the watershed. Finally, using the scores of vulnerability in different sub-basins, a vulnerability map of the watershed is presented.

scholarly journals Capacity Analysis for Approach Channels Shared by LNG Carriers

2020 ◽  
Vol 8 (9) ◽  
pp. 697
Author(s):  
Xiang Gao ◽  
Linying Chen ◽  
Pengfei Chen ◽  
Yu Luo ◽  
Junmin Mou
Keyword(s):  
Traffic Management ◽  
Time Windows ◽  
Management Strategies ◽  
Capacity Analysis ◽  
Behavioral Characteristics ◽  
Traffic Capacity ◽  
Approach Channel ◽  
General Cargo ◽  
The Impact

The transport of liquefied natural gas (LNG) has significant impact on traffic capacity of waterways, especially the approach channels shared by LNG carriers and other types of ships (general cargo ships, container ships, etc.). Few studies take the behavioral characteristics of LNG carriers and their impacts into consideration. In this paper, we propose a framework for capacity analysis of shared approach channels based on the spatial–temporal consumption method. It consists of three modules: (1) the tide module predicts the tidal height and tidal time for identifying the time windows for LNG carriers; (2) the spatial–temporal consumption module is introduced to calculate the capacity of approach channels; (3) the LNG carrier navigation module is for analyzing the characteristics of LNG carriers and the impact on the capacity of approach channels. A spatial–temporal indexed chart is designed to visualize the utilization of the spatial–temporal resources. A case study on the approach channel of Yueqing Bay near the east coast of China is conducted to verify the effectiveness of the framework. The utilization rates of the approach channel and the impact of LNG carriers are presented using our method. The results of the case study indicate that the proposed traffic capacity analyzing framework can provide support for making traffic management strategies.

scholarly journals Addressing Affordability in the National Flood Insurance Program

2014 ◽  
Vol 01 (01) ◽  
pp. 1450001 ◽  
Author(s):  
Carolyn Kousky ◽  
Howard Kunreuther
Keyword(s):  
United States ◽  
The United States ◽  
Hurricane Sandy ◽  
Flood Insurance ◽  
National Flood Insurance Program ◽  
Voucher Program ◽  
Insurance Program ◽  
Loan Program ◽  
Flood Prone Areas

There is often tension between setting insurance premiums that reflect risk and dealing with equity/affordability issues. The National Flood Insurance Program in the United States recently moved toward elimination of certain premium discounts, but this raised issues with respect to the affordability of coverage for homeowners in flood-prone areas. Ultimately, Congress reversed course and reinstated discounted rates for certain classes of policyholders. We examine the tension between risk-based rates and affordability through a case study of Ocean County, New Jersey, an area heavily damaged by Hurricane Sandy. We argue that the NFIP must address affordability, but that this should not be done through discounted premiums. Instead, we propose a means-tested voucher program coupled with a loan program for investments in hazard mitigation.

Der systematische Problemlösungsprozess*/The systematic problem solving process

2016 ◽  
Vol 106 (04) ◽  
pp. 230-235
Author(s):  
J. Enke ◽  
J. Prof. Metternich ◽  
R. Wessel ◽  
K. Kraft
Keyword(s):  
Problem Solving ◽  
Capacity Analysis ◽  
Vehicle Production ◽  
Problem Solving Process ◽  
Utility Vehicle

Die Maschinenfähigkeit ist eine wesentliche Voraussetzung für stabiles Produzieren. Um Gründe für ihr Nichterreichen zu eliminieren, lässt sich unter anderem ein systematischer Problemlösungsprozess nutzen. Im Artikel werden Grundlagen des Wuchtens, die Fähigkeitsuntersuchungen an Wuchtmaschinen, der Problemlösungsprozess und zugehörige Methoden anhand eines Fallbeispiels vorgestellt. Speziell hervorzuheben ist dabei die unternehmensspezifische Anpassung der Problemlösungsschritte.   To achieve the capability of machines, a systematic problem solving process can be used. First, the article explains basics of balancing technology and capacity analysis of balancing machines. Afterwards, the problem solving process and related methods are presented on the basis of a case study in the utility vehicle production and their application is illustrated. Thereby, especially the company-specific adaption is emphasized.

scholarly journals Application of Remote Sensing and GIS for Improving Rice Production in Flood-prone Areas: A Case Study in Lower Chi-River Basin, Thailand

2008 ◽  
Vol 42 (3) ◽  
pp. 193-201 ◽  
Author(s):  
Chattichai WAISURASINGHA ◽  
Masamu ANIYA ◽  
Akira HIRANO ◽  
Janya SANG-ARUN ◽  
Wilailak SOMMUT
Keyword(s):  
Remote Sensing ◽  
River Basin ◽  
Remote Sensing And Gis ◽  
Rice Production ◽  
Flood Prone Areas
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