Suchergebnisse

PurposeThe purpose of this research is to produce the landslide susceptibility map of Fraser's Hill and its surroundings in Pahang (Malaysia), utilizing remote sensing data and Geographic Information System (GIS) as a way to monitor sustainable highland development.Design/methodology/approachAncillary data are collected, processed, and constructed into a spatial database in a GIS platform to produce the satellite image. The factors chosen that influence landslide occurrence are land cover, vegetation index (NDVI), precipitation, and geology. Landslide‐hazardous areas are analyzed and mapped using the landslide‐occurrence factors through the heuristic approach Analytic Hierarchy Process (AHP).FindingsIt is demonstrated that the integration of remote sensing data and GIS database is of assistance in managing land‐use planning of sustainable development. The verification with the existing landslides record shows a noteworthy accuracy.Research limitations/implicationsThe list of data/maps reflects a considerable understanding of the basic cartographic information that is needed to effectively deal with the landslide problem.Practical implicationsThis approach indicates a potential long‐term application of remote sensing and GIS in managing sustainable highland development by monitoring the hazard‐susceptibility area.Originality/valueThe value of the work is in its integration and utilization of remote sensing and GIS to provide sustainable development which can be developed to aid landslide warning systems.

AbstractIn response to the urgent environmental and social challenges posed by mining operations, this paper introduces the Mining Area Sustainability Index (MASI), a novel framework aimed at transforming the mining sector towards sustainable practices. Mining activities have historically led to significant environmental degradation, including water contamination and habitat destruction, contributing to climate change and biodiversity loss. These activities also have profound social implications, such as displacing communities, endangering health, and distributing economic benefits inequitably, often leaving local communities in developing countries marginalized. Recognizing these challenges, this paper outlines the consolidation and standardization in sustainability reporting within the mining sector as a pivotal development. The introduction of international standards by the International Sustainability Standards Board (ISSB) and the European Union's European Sustainability Reporting Standards (ESRS) marks significant strides towards enhancing transparency, accountability, and sustainability across mining operations. Furthermore, the concept of double materiality, assessing both financial and social impacts of mining, represents an advancement in comprehending the broader societal impacts of mining alongside its environmental and economic effects. MASI emerges as a comprehensive tool designed to assess the sustainability of mining areas, offering a nuanced understanding of mining activities' impacts on local environments, societies, and economies. By focusing on localized, community-centric evaluations, MASI aims to fill existing gaps in sustainability assessment and provide a reference for local residents to gauge the sustainability of their surroundings. This framework advocates for a multidimensional approach to sustainability, encompassing ecological preservation, social welfare, and economic viability, urging a reimagined, sustainable future for mining communities.

AbstractThis "Policy Brief" explores the potential integration of Aerosol Optical Depth (AOD) into the United Kingdom's air quality and public health monitoring frameworks, highlighting its potential to enhance existing air pollution control strategies. Amid growing concerns over air pollution's impact on health, particularly the link between particulate matter and lung cancer, this brief presents a focused investigation into how AOD can be leveraged alongside traditional monitoring methods to provide a more nuanced understanding of air quality trends. By correlating AOD data with lung cancer incidence rates within the UK, the brief aims to uncover potential associations and inform public health decisions. Furthermore, it discusses the advantages and limitations of employing AOD in air pollution and respiratory disease monitoring, advocating for a strategic enhancement of the UK's air pollution monitoring efforts. This approach seeks to complement and refine current monitoring practices with advanced remote sensing techniques, aiming to inform policy innovations that prioritize environmental health and public welfare. Through a comprehensive review of existing data and policies, the brief underscores the urgency of adopting multidimensional air quality management strategies that respond to technological advancements and emerging public health needs.