Because of the impacts of the growing population in Lebanon together with the changing climate, the Bekaa Valley’s water resources is in a precarious situation. In this study, the impacts on water balance and water quality for a 2013 baseline and future scenarios are simulated using the Water Evaluation And Planning model.
Provides readers theoretical perspectives (both macro and micro), data, methods and research findings that would help readers better understand the complexities within population-environment connections.
In this research, the authors propose a supervised machine learning approach, Random Forest, for population density appraisal in a large and dense developing city.
In this study, to look for possible connections between drought and rural population loss on the North American Great Plains between 1970 and 2020, the study uses machine learning techniques in the form of random forest and regression tree analyses.
Using unique survey data from the Swedish Environmental Protection Agency (SEPA), the paper examines whether men and women differ in their views regarding their support for climate policy and in undertaking climate action in their everyday lives.
The authors analyzed census data to examine the spatial heterogeneity in drinking water sources and neighborhood income in the Greater Accra Metropolitan Area (GAMA), the largest urban agglomeration in Ghana using the Shannon Entropy Index and the Index of Concentration at the Extremes at the enumeration area level.
This study is developed particularly to support the Ecuadorian Red Cross (ERC) in building a social vulnerability index. Combined with hazard and exposure information, the social vulnerability index will be used as an input for impact-based forecasts for flash-floods, and to inform flash flood early action protocol at the administrative level 3 (Parroquia) in Ecuador.
This study considered the combined influence from external regions and examines urbanization and its influence on vegetation carbon pool (vegetation carbon storage and NPP) from the perspective of tele-coupling based utilising domestic trade data, land-use images, vegetation carbon densities, NPP data, and using the MRIO model and spatial analysis.
By exploring the relationship between economic growth, urbanization, energy consumption, trade openness, human capital and ecological footprints for the period 1972–2018 in Bangladesh, this study has examined the validity of the EKC hypothesis.
Using Landsat images covering the area for 1986, 2000 and 2016, and social surveys (questionnaire administration and key informant interviews), this study examined change in the form and attributes of areas under different land cover in a relatively homogenous Yoruba ethnic group community in Southwestern Nigeria.
