Comprehensive assessment for removing multiple pollutants by plants in bioretention systems

Yang, Xiaohua; Mei, Ying; He, Jun; Jiang, Rong; Li, Yuqi; Li, Jianqiang

doi:10.1007/s11434-014-0200-2

Cited by 21 publications

(8 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Recent research has also begun to suggest that targeted pollutant removal can be achieved through the proper selection of plant materials and use of a mulch layer. For instance, Yang et al (2014) identified two species of bioretention plants for removing seven typical pollutants. Bacterial removal was shown by Kim et al (2012) to be affected by vegetation, although it is not clear if this is due to effects of vegetation on the bacteria or if it is an effect of longer hydraulic retention times due to vegetation differences.…”

Section: Critical Review Questionsmentioning

confidence: 99%

Critical Review of Technical Questions Facing Low Impact Development and Green Infrastructure: A Perspective from the Great Plains

Vogel

Moore

Coffman

et al. 2015

Water Environment Research

101

View full text Add to dashboard Cite

Since its inception, Low Impact Development (LID) has become part of urban stormwater management across the United States, marking progress in the gradual transition from centralized to distributed runoff management infrastructure. The ultimate goal of LID is full, cost-effective implementation to maximize watershed-scale ecosystem services and enhance resilience. To reach that goal in the Great Plains, the multi-disciplinary author team presents this critical review based on thirteen technical questions within the context of regional climate and socioeconomics across increasing complexities in scale and function. Although some progress has been made, much remains to be done including continued basic and applied research, development of local LID design specifications, local demonstrations, and identifying funding mechanisms for these solutions. Within the Great Plains and beyond, by addressing these technical questions within a local context, the goal of widespread acceptance of LID can be achieved, resulting in more effective and resilient stormwater management.

show abstract

Section: Critical Review Questionsmentioning

confidence: 99%

Critical Review of Technical Questions Facing Low Impact Development and Green Infrastructure: A Perspective from the Great Plains

Vogel

Moore

Coffman

et al. 2015

Water Environment Research

101

View full text Add to dashboard Cite

show abstract

“…This is already standard practice for plant uptake of contaminants. Research targets plant species that remove the largest quantities of nutrients, the most metals, or in the case of Melaleuca ericifolia , enhance infiltration and hydraulic conductivity with deep roots (Figure (a) . In a test of 20 plant species native to south eastern Australia, Carex appressa , for example, by virtue of its longer, deeper and larger roots, exhibited superior nutrient removal .…”

Section: Relevant Theorymentioning

confidence: 99%

Optimization of bioretention systems through application of ecological theory

Levin

Mehring

2015

WIREs Water

View full text Add to dashboard Cite

Current design of bioretention systems is intended to intercept and retain stormwater, enhance infiltration, and remove organic particulates, nutrients, pathogens, metals, and other contaminants using natural processes that derive from the interactions of water, soil, microbes, plants, and animals. Most bioretention systems function as isolated patches of various shapes and sizes surrounded by impervious surface. A significant body of ecological theory has been developed that addresses the relationships among species composition, diversity, and ecosystem function, and how these vary with spatial structure. Here we highlight how such theories may be applied to improve the efficiency or effectiveness of bioretention systems. We consider (1) the role of plant and animal species that function as ecosystem engineers, (2) biodiversity-ecosystem function relationships, (3) complexity and stability, (4) disturbance and succession, and (5) spatial theory. Future testing of the utility of these theories may occur through incorporation of experiments into the design of bioretention systems or through meta-analysis of systems that span a range of configurations and biotic features.

show abstract

“…At present, the most representative methods are machine learning, such as the neural network method, swarm intelligence algorithm, etc. [11,12]. These methods have strong non-linear mapping ability, learning ability, and fault tolerance.…”

Section: Introductionmentioning

confidence: 99%

A water quality prediction model for large-scale rivers based on projection pursuit regression in the Yangtze River

Yang

2022

Therm sci

View full text Add to dashboard Cite

In recent decades, the Yangtze River Basin, which carries hundreds of millions of people and a substantial economic scale, has been plagued by water quality deterioration, threatening considerably sustainable development. In this paper, a sample set is established based on the water quality indexes of chemical oxygen demand and dissolved oxygen obtained by week-by-week monitoring on the main stream of the Yangtze River in Panzhihua, Yueyang, Jiujiang, and Nanjing from 2006 to 2018. The twelve characteristic variables are selected by random forest technique, and the week-by-week dynamic prediction models of chemical oxygen demand and dissolved oxygen at each section of main stream are established by the projection pursuit regression, which can effectively predict the water quality dynamics of the Yangtze River main stream.

show abstract

Comprehensive assessment for removing multiple pollutants by plants in bioretention systems

Cited by 21 publications

References 35 publications

Critical Review of Technical Questions Facing Low Impact Development and Green Infrastructure: A Perspective from the Great Plains

Critical Review of Technical Questions Facing Low Impact Development and Green Infrastructure: A Perspective from the Great Plains

Optimization of bioretention systems through application of ecological theory

A water quality prediction model for large-scale rivers based on projection pursuit regression in the Yangtze River

Contact Info

Product

Resources

About