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The paper investigates the impact of rainfall shocks on agricultural productivity and crop-specific agricultural land productivity. The paper also examines the impact of negative rainfall shocks on household consumption as well as its distributional impact by initial wealth and geographical zones. We use nationally representative panel datasets from Nigeria merged with georeferenced rainfall information. Negative rainfall shocks have heterogeneous effects on crop-specific agricultural...

Indoor air quality and thermal comfort of existing naturally ventilated classrooms in the Indian capital territory, Delhi, is substandard. This should be improved while trying to prevent the increase in energy demand. The research question focused on solution options to answer these contradictory requirements.

Despite their impact on work performance, cognitive responses to thermal variations in buildings have not been accurately quantified. Practical limitations in individual laboratory experiments with limited participants often cause low statistical power and restrict generalizability. Thus, inconsistencies in individual studies motivate summary reviews and meta-analyses. The objective of this study is to estimate the correlation between ambient air temperature and cognitive performance through...

Despite their impact on work performance, cognitive responses to thermal variations in buildings have not been accurately quantified. Practical limitations in individual laboratory experiments with limited participants often cause low statistical power and restrict generalizability. Thus, inconsistencies in individual studies motivate summary reviews and meta-analyses. The objective of this study is to estimate the correlation between ambient air temperature and cognitive performance through...

Many global challenges, though interconnected, have been addressed singly, at times reducing one problem while exacerbating others. Nexus approaches simultaneously examine interactions among multiple sectors. Recent quantitative studies have revealed that nexus approaches can uncover synergies and detect trade-offs among sectors. If well implemented, nexus approaches have the potential to reduce negative surprises and promote integrated planning, management and governance. However,...

It is important to create comfortable indoor environments for building occupants. This study developed artificial neural network (ANN) models for predicting thermal comfort in indoor environments by using thermal sensations and occupants’ behavior. The models were trained by data on air temperature, relative humidity, clothing insulation, metabolic rate, thermal sensations, and occupants’ behavior collected in ten offices and ten houses/apartments. The models were able to predict similar...

Subsistence farmers in Sahelian Africa are highly vulnerable to the rainfall effects associated with climate change. Permanent or temporary out-migration can provide an individual or family the opportunity to mitigate against these effects. One major challenge to quantifying the impact of climate change on out-migration is lack of appropriate spatial and temporal data. Out-migration data must be adequately detailed to include both long- and short-term departures. The climate data must...

Comfortable indoor climate is anticipated in hot-humid tropical condition. University classrooms are such kind of space which quality can improve the occupant’s performance directly. Due to lack of their adaptation ability, like the fixed schedule of activities and clothing causes extra heat gain from the environment and make hazardous situation. In this research, we focused to find out the comfortable condition of university classrooms in Bangladesh. The field monitoring was conducted at...

To understand how transition across different thermal zones in a building impacts the thermal perception of occupants, the current work examines occupant feedback in two work environments — nursing staff in hospital wards and the workers in an office. Both studies used a mix of subjective surveys and objective measurements. A total of 96 responses were collected from the hospital wards while 142 were collected from the office. The thermal environment in the hospital wards was perceived as...

Article impact statement : Machine learning optimizes processes of systematic evidence synthesis and improves its utility for evidence‐based conservation.

Livestock productivity is likely to be adversely affected by climate change mainly in terms of feed supply variations. Principal livestock food resources in Zambia and Malawi are grass areas, but very few data are available for supply management and amount estimation. The aim of this paper is to illustrate the procedure adopted for preliminary estimations of grassland biomass retrieval and grass growth cycle identification over a wide area between the Lukulu District and the Mongu District,...

Human individual differences widely and markedly affect thermal comfort and should be carefully considered in the design and operation of the built environment. This paper aims to list and examine the magnitude and significance of individual difference in the preferred/neutral/comfort temperature through reviewing previous climate chamber and field studies. Causal factors for individual differences are investigated, including sex, age and etc. There is no clear and consistent conclusions as...

Sustainability of shrimp farming is important for both environmental and economic benefits of Bangladesh. The Department of Fisheries provides training to the shrimp farmers; however, techniques on adaptation to climate change are not adequately addressed in the training. This study assessed the competence and training needs of shrimp farmers on climate change adaptation. Two groups of shrimp farmers (each group consisting of 50 individuals) were surveyed and 20 key informants were...

This study investigates the conditions and the levels of satisfaction with indoor environmental quality (IEQ) in naturally ventilated (NV) learning environments in Bayero University, Kano and compares the results to international comfort standards’ thresholds. It examines the thermal and visual comfort, acoustic quality as well as the indoor air quality of six learning environments in the University consisting of four lecture theatres and two laboratories. Researches in IEQ have shown that...

A novel dynamic model for the temperature inside buildings is presented, aiming to improve energy efficiency by providing predictive information on the heat demand. To analyse the performance and generalizability of the modelling approach, real measurement data was gathered from five different types of buildings. Easily available data from various sources was utilized. The chosen model structure leads to a minimal number of input variables and free parameters. Simulations with real data from...

A novel dynamic model for the temperature inside buildings is presented, aiming to improve energy efficiency by providing predictive information on the heat demand. To analyse the performance and generalizability of the modelling approach, real measurement data was gathered from five different types of buildings. Easily available data from various sources was utilized. The chosen model structure leads to a minimal number of input variables and free parameters. Simulations with real data from...

South East Queensland, in Eastern Australia, is a region naturally prone to flooding. While this intrinsic hydrologic characteristic of the area was well known to its aboriginal inhabitants, its urbanisation is less than two hundred years old and has proven greatly oblivious to the natural environment. In Brisbane, the capital city of the State of Queensland, the clash between natural processes of the namesake river, its numerous creeks and the sea, and the superimposed layer of the urban...

South East Queensland, in Eastern Australia, is a region naturally prone to flooding. While this intrinsic hydrologic characteristic of the area was well known to its aboriginal inhabitants, its urbanisation is less than two hundred years old and has proven greatly oblivious to the natural environment. In Brisbane, the capital city of the State of Queensland, the clash between natural processes of the namesake river, its numerous creeks and the sea, and the superimposed layer of the urban...

In this study, classification- and regression-based statistical downscaling is used to project the monthly monsoon streamflow over the Wainganga basin, India, using 40 global climate model (GCM) outputs and four representative concentration pathways (RCP) scenarios. Support vector machine (SVM) and relevance vector machine (RVM) are considered to perform downscaling. The RVM outperforms SVM and is used to simulate future projections of monsoon flows for different periods. In addition,...