Abstract Bayesian Belief Networks (BBNs) are being increasingly used to develop a range of
predictive models and risk assessments for ecological systems. Ecological BBNs can be …

In recent years, China has launched ambitious measures to tackle water pollution. As
political commitment and public investment soared, Chinese environmental scientists and …

Eutrophication of lakes and the risk of harmful cyanobacterial blooms due is a major
challenge for management of aquatic ecosystems, and climate change is expected to …

The integration of water quality monitoring variables is essential in environmental decision
making. Nowadays, advanced techniques to manage subjectivity, imprecision, uncertainty …

Although co-existing sources of chemicals pose major cumulative environmental threats to
watersheds, few risk assessments have specifically tackled the accidental chemical pollution …

The sharp decrease in the cost of RNA-sequencing and the rapid improvement in
computational analysis of eco-toxicogenomic data have brought new insights into the …

The paper advances a conceptualization of sustainability in urban regeneration as
communicative practice taking place within networks of social actors. To demonstrate the …

The introduction of autonomy in subsea operations may affect operational risk related to
Inspection, Maintenance, and Repair (IMR). This article proposes a Bayesian Belief Network …

Abstract The European Water Framework Directive (WFD) requires that the ecological status
of waterbodies is assessed using multiple biological quality elements (BQEs) that are …

The risk assessment of water environments provides important references for water
environment risk management. In this paper, the water environment risk of the upper rivers …