This chapter explores the use of geographical information systems (GIS) and statistical approaches to determine the extent of fluoride contamination in groundwater (SDG 6).
Elsevier,
K. Brindha, Michael Schneider; GIS and Geostatistical Techniques for Groundwater Science, 2019, Pages 179-196
This chapter contributes to SDG 6 by describing the various sources and selected contaminants that pollute urban groundwater.
This book chapter advances SDGs 6, 10 and 11 by discussing our vulnerability to water disasters to help us avoid some of them in the future.
This study quantified antibiotic and antibiotic resistance gene (ARG) concentrations in hospital and communal wastewaters as well as the influents and effluents of the receiving urban wastewater treat
This study identifies the key barriers to operationalizing FEW nexus at ground level and underlines the need for urban-rural shared perspectives in resource management.
Each year the RELX Environmental Challenge is awarded to projects that best demonstrate how they can provide sustainable access to safe water or sanitation. Projects must have clear practical applicability, address identified need and advance related issues such as health, education, or human rights. Applications close on 7 June 2019.
Groundwater storage (GWS) – a hidden resource underneath the land surface, plays a critical role in sustaining irrigated agriculture in these river basins, particularly during the dry season when rice crops are generally grown in irrigated lands across South Asia. Although monitoring of groundwater levels has been operational in the region for a number of decades, a basin-wide comprehensive assessment of GWS is lacking in most river basins.
Solar water disinfection catalyzed by metal-free photocatalyst has emerged as a promising approach for clean water production.
This chapter aligns with Goal 6, 3 and 11 by describing the leading methods for treating and maintaining the microbiological quality of drinking water at the household level. It reviews the challenges of optimizing uptake of effective household water treatment among vulnerable populations in low-income countries and potential risks associated with climate change.
Using a consumption-based Multi-Regional Input-Output (MRIO) model, we investigate the distinctive characteristics, self-efficiency or external dependency, of energy demand's water footprint in China'
