Haifeng Jia

Dr. Haifeng Jia

Tsinghua University
orcid

Research Focus & Metrics

Academic Career Length

26Years (2001-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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12 August 2017 in Frontiers of Environmental Science & Engineering
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Journal Article
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Haifeng JiaHaifeng Jia
Haifeng Jia
ZWZheng Wang
Zheng Wang
XZXiaoyue Zhen
Xiaoyue Zhen
MCMike Clar
Mike Clar
SYShaw L. Yu
Shaw L. Yu

1 February 2015 in Journal of Environmental Management
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Journal Article
Closed access
Haifeng JiaHaifeng Jia
Haifeng Jia
HYHairong Yao
Hairong Yao
YTYing Tang
Ying Tang
SYShaw L. Yu
Shaw L. Yu
RFRichard Field
Richard Field
ATAnthony N. Tafuri
Anthony N. Tafuri

20 August 2013 in Frontiers of Environmental Science & Engineering
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Journal Article
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Haifeng JiaHaifeng Jia
Haifeng Jia
HYHairong Yao
Hairong Yao
SYShaw L. Yu
Shaw L. Yu

1 August 2020 in Science of The Total Environment
Verified
Journal Article
Open access
LLLinyuan Leng
Linyuan Leng
XMXuhui Mao
Xuhui Mao
Haifeng JiaHaifeng Jia
Haifeng Jia
TXTe Xu
Te Xu
Albert ChenAlbert Chen
Albert Chen
GFGuangtao Fu
Guangtao Fu
In recent years, Sponge City has gained significant interests as a way of urban water management. The kernel of Sponge City is to develop a coupled green-grey-blue system which consists of green infrastructure at the source, grey infrastructure (i.e. drainage system) at the midway and receiving water bodies as the blue part at the terminal. However, the current approaches for assessing the performance of Sponge City construction are confined to green-grey systems and do not adequately reflect the effectiveness in runoff reduction and the impacts on receiving water bodies. This paper proposes an integrated assessment framework of coupled green-grey-blue systems on compliance of water quantity and quality control targets in Sponge City construction. Rainfall runoff and river system models are coupled to provide quantitative simulation evaluations of a number of indicators of land-based and river quality. A multi-criteria decision-making method, i.e., Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is adopted to rank design alternatives and identify the optimal alternative for Sponge City construction. The effectiveness of this framework is demonstrated in a typical plain river network area of Suzhou, China. The results demonstrate that the performance of Sponge City strategies increases with large scale deployment under smaller rainfall events. In addition, though surface runoff has a dilution effect on the river water quality, the control of surface pollutants can play a significant role in the river water quality improvement. This framework can be applied to Sponge City projects to achieve the enhancement of urban water management.

1 December 2019 in Resources, Conservation and Recycling
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Journal Article
Closed access
CXChangqing Xu
Changqing Xu
TTTang Tang
Tang Tang
Haifeng JiaHaifeng Jia
Haifeng Jia
MXMing Xu
Ming Xu
TXTe Xu
Te Xu
RZRongrong Zhang
Rongrong Zhang

1 June 2020 in Science of The Total Environment
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Journal Article
Open access
DYDingkun Yin
Dingkun Yin
BEBarry Evans
Barry Evans
QWQi Wang
Qi Wang
ZCZhengxia Chen
Zhengxia Chen
Haifeng JiaHaifeng Jia
Haifeng Jia
LLLinyuan Leng
Linyuan Leng
This study proposes a modelling framework of integrated one-dimensional (1D) and two-dimensional (2D) hydrodynamic modelling to evaluate the effectiveness of sponge city construction at community scale. Through a case study in Zhuhai, we integrate Stormwater Management Model (SWMM) and Cellular Automata Dual-DraInagE Simulation (CADDIES) 2D model to analyze the rainfall-runoff process involving green infrastructures. SWMM is applied to analyze the change of surface runoff control effects before and after the implementation of sponge city low impact development (LID) facilities, and CADDIES is adopted to simulate the propagation of excess runoff on the surface. The results show that the LID facilities can effectively reduce the runoff volume of small and medium-sized rainfall events since the maximum runoff reduction rate is 94.4%. For long-term operation, the LID can capture 52.9% of annual rainfall volume and reduce annual runoff by 28.0%. However, the CADDIES 2D model simulations indicate that LID facilities have little effect on flood alleviation in specific regions under extreme rainfall conditions. In addition, we compared the modelling performance using four different terrain Digital Elevation Model (DEM) resolutions and found that 1 m terrain DEM resolution can produce comparable results to 0.25 m DEM with a fraction of computational time. We also find that the MIKE FLOOD model and the integrated model of SWMM and CADDIES 2D can obtain similar simulation results, the p-value = 0.09 which is >0.05, but SWMM-CADDIES integrated model is more suitable for small-scale simulation.