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In this chapter the potential to use water-based Trombe walls to provide heated water for building applications during the summer months is investigated. Design Builder software is used to model a simple single-story building with a south-facing Trombe wall. The effects of using different thermal storage mediums within the Trombe wall on building heating loads during the winter and building cooling loads during the summer are modeled. The amount of thermal energy stored and temperature of water within the thermal storage medium during hot weather conditions were also simulated. On a sunny day on Toronto, Canada, the average temperature of the water in a Trombe wall integrated into a single-story building can reach ∼57°C, which is high enough to provide for the main hot water usages in buildings. Furthermore, the amount of water heated is three times greater than that required in an average household in Canada. The results from this work suggest that water-based Trombe walls have great potential to enhance the flexibility and utility of Trombe walls by providing heated water for building applications during summer months, without compromising performance during winter months.

The malfunction variables of power stations are related to the areas of weather, physical structure, control and load behaviour. To predict temporal power failure is difficult due to their unpredictable characteristics. As high accuracy is normally required, the estimation of failures of short-term temporal prediction is highly difficult. This study presents a method for converting stochastic behaviour into a stable pattern, which can subsequently be used in a short-term estimator. For this conversion, K-means clustering is employed, followed by Long-Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) algorithms are used to perform the Short-term estimation. The environment, the operation and the generated signal factors are all simulated using mathematical models. Weather parameters and load samples have been collected as part of a data set. Monte-Carlo simulation using MATLAB programming has been used to conduct experimental estimation of failures. The estimated failures of the experiment are then compared with the actual system temporal failures and found to be in good match. Therefore, for any future power grid, there is a testbed ready to estimate the future failures.

Flood is one of the most common disasters in Malaysia especially during northeast monsoon season (November–March). This chapter analyses flood disaster management strategies in Pahang on preparations and vulnerabilities of the local communities along the Pahang River Basin, especially in Temerloh. In Malaysia, the National Security Council (MKN) is the organisation that is fully responsible in managing the national disaster management system, which provides an effective relieve mechanism for flood disaster. This study utilises two type of sources which are primary and secondary sources to collect the data. The primary data were collected in June 2015 through a survey of 202 respondents affected by the flood by using semi-structured questionnaires through an interview conducted in person. Meanwhile, the secondary data were collected from the local authorities. From both sources, the survey shows that 31% of the population in Temerloh did not get an early warning notification, more than half involving those in the rural area. Lack of efficient early warning system became one of the vulnerability factors affecting local community. About 78% of respondents have been relocated to the relief centres around Temerloh. Agricultural income dropped by 31.2% as the result of damaged crops and cessation of small businesses, which contributed to the increase in hardcore-poor category by 6.5%. The study concludes that it is essential to review the effectiveness of flood disaster management strategies in Pahang to minimise the aftermath impact of flooding to the community.

Part V analyzes the details of how to assess materiality. It first tackles qualitative versus quantitative criteria and the role of professional judgment. It then analyzes the selection of quantitative threshold, to expand to the choice of benchmarks. It contrasts the whole financial statements with subaggregates, line items, and components.

Specific sections contrast IASB, FASB, SEC, and other guidance on materiality applied to comparative information, interim reporting, and segment reporting.

The section on estimates mingles complex guidance coming from accounting, auditing, and internal control over financial reporting to explain how the management can improve its assessment of materiality concerning estimates.

After explaining the techniques to move from individual to cumulative misstatements, the part tackles verification ex post, and finally summarizes the intricacies of whether immaterial misstatements are permissible and their consequences.

Human beings spend their daily lives within the range of the atmospheric boundary layer, where airflow is affected by friction from Earth's surface. The airflow in this area is generally called wind. Strong wind occasionally causes severe damage to infrastructures and people because of its aerodynamic effects, but even weak and moderate winds can have serious environmental impacts on human society such as those seen with air-pollution problems and thermal effects.