Soil's engineering properties are critical components in designing sub and super structures. Knowing the engineering properties helps engineers determine the appropriate type of foundation for a building. Determin...
详细信息
This research focuses on Sanur Harbor, an inter-island ferry port located in southern Bali. The majority of visitors to Sanur Harbor are tourists who want to travel to Nusa Penida Island. At this port, facilities are ...
详细信息
Conventional concrete significantly affects the environment due to high CO2 emission into the atmosphere during the production process. In order to improve concrete performance and arrest the incidence of global warmi...
详细信息
The influence of carbon dioxide (CO2) curing on the compressive strength of oil shale ash (OSA) concrete as partial cement replacement was investigated. 15 cm cubes with a 30% replacement percentage were tested after ...
详细信息
This study uses Global Precipitation Measurement (GPM) and Coupled Model Intercomparison Project Phase 6 (CMIP6) precipitation data to identify extreme precipitation intensity and frequency changes in Indonesia. Extre...
详细信息
In the last decade,the detection and attribution science that links climate change to extreme weather and climate events has emerged as a growing field of research with an increasing body of *** paper overviews the me...
详细信息
In the last decade,the detection and attribution science that links climate change to extreme weather and climate events has emerged as a growing field of research with an increasing body of *** paper overviews the methods for extreme event attribution(EEA)and discusses the new insights that EEA provides for infrastructure *** found that EEA can inform stakeholders about current climate risk,support vulnerability-based and hazard-based adaptations,assist in the development of cost-effective adaptation strategies,and enhance justice and equity in the allocation of adaptation *** engineering practice shifts from a retrospective approach to a proactive,forward-looking risk management strategy,EEA can be used together with climate projections to enhance the comprehensiveness of decision making,including planning and preparing for un-precedented extreme ***,attribution assessment can be more useful for adaptation planning when the exposure and vulnerability of communities to past events are analyzed,and future changes in the probability of extreme events are *** large uncertainties inherent in event attribution and climate projections,future research should examine the sensitivity of engineering design to climate model uncertainties,and adapt engineering practice,including building codes,to uncertain future *** this study focuses on adaptation planning,EEA can also be a useful tool for informing and enhancing decisions related to climate mitigation.
Understanding the strength behavior and leaching characteristics of mining tailings stabilized with alkali-activated cements in the short, medium, and long term is crucial for the feasibility of material applications....
详细信息
This work evaluates the caprock deflections at various timeframes induced by underground injection of CO2 in all flow regimes for cap integrity considerations in CO2 sequestration. The pressure profiles in the various...
详细信息
Regional flood frequency analysis (RFFA) is a widely recognized technique for estimating reliable flood quantiles at ungauged sites or to augment the data available at gauged sites. The primary step in RFFA is regiona...
详细信息
ISBN:
(数字)9780784484852
ISBN:
(纸本)9780784484852
Regional flood frequency analysis (RFFA) is a widely recognized technique for estimating reliable flood quantiles at ungauged sites or to augment the data available at gauged sites. The primary step in RFFA is regionalization, that is, the process of identifying hydrologically similar regions for spatial pooling. Artificial intelligence techniques such as distance-based clustering algorithms are most commonly adopted for the delineation of homogeneous regions, using the Euclidean distance metric by default. This study aims to understand the performance of regionalization techniques under different choices of distance measures, and how such sensitivity varies across clustering techniques used. Leave-one-out cross-validation (LOOCV) analysis is performed to compare estimated flood quantiles with at-site values. The distance measures considered are squared Euclidean, cityblock, cosine, correlation, Minkowski, and Mahalanobis distances, while two clustering algorithms are chosen - the conventional fuzzy C-means (FCM) approach and an advanced machine learning algorithm called the random forest classifier (RFC). The Nash-Sutcliffe efficiency (NSE) is used as a performance evaluation statistic to evaluate the accuracy of the estimated flood quantiles at ungauged sites. For illustration of regionalization and prediction in ungauged basins, naturalized flows are considered at 243 catchments in the State of Indiana, United States. It is found that in general the algorithms are sensitive to the choice of distance measure, with the Mahalanobis and cosine distances performing poorly both for region formation and subsequently for flood quantile estimation at ungauged sites. However, choice of a more suitable clustering algorithm is found to overcome such limitations with the RFC showing improved performance (NSE > 0.73 across all distance metrics), even with the Mahalanobis distance. Therefore, this study concludes that the choice of clustering algorithm is the more important par
The construction of Social Interest Housing through housing programs is a crucial government investment aimed at reducing housing deficits and ensuring housing rights for low-income populations. However, despite drivi...
详细信息
暂无评论