CAIHONG TANG

Dr. CAIHONG TANG

orcid

Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

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

Representative Publications

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1 November 2017 in Ecotoxicology and Environmental Safety
Verified
Journal Article
Closed access
YYYujun Yi
Yujun Yi
CTCAIHONG TANG
CAIHONG TANG
TYTieci Yi
Tieci Yi
ZYZhifeng Yang
Zhifeng Yang
SZShanghong Zhang
Shanghong Zhang

1 November 2014 in Journal of Hydrology
Verified
Journal Article
Closed access
CTCAIHONG TANG
CAIHONG TANG
YYYujun Yi
Yujun Yi
ZYZhifeng Yang
Zhifeng Yang
XCXi Cheng
Xi Cheng

1 February 2018 in Journal of Cleaner Production
Verified
Journal Article
Closed access
CTCAIHONG TANG
CAIHONG TANG
YYYujun Yi
Yujun Yi
ZYZhifeng Yang
Zhifeng Yang
SZShanghong Zhang
Shanghong Zhang
HLHaifei Liu
Haifei Liu

10 March 2018 in Water Resources Research
Verified
Journal Article
Open access
PDF file
YZYinghao Zhang
Yinghao Zhang
CTCAIHONG TANG
CAIHONG TANG
HNHeidi Nepf
Heidi Nepf
Laboratory experiments measured the velocity inside a model meadow of submerged, flexible vegetation under 1 and 2 s period waves. The model plant consisted of a rigid stem and strap‐like blades, similar to the seagrass Zostera marina and the freshwater eelgrass Vallisneria Americana. The ratio of wave excursion (Aw) to stem spacing (S) determined whether, or not, plant‐generated turbulence enhanced the turbulence level within the meadow, compared to bare bed. Specifically, near‐bed turbulence was enhanced for conditions with Aw/S > 0.5, and for these conditions the turbulence (TKE) normalized by the RMS wave velocity squared, TKE/Uw,RMS2, increased monotonically with the plant solid volume fraction, ϕ. The plant‐generated turbulence was greater in the stem region than in the blade region, and this was attributed to the greater relative motion between the waves and rigid stem, compared to the flexible blades. A model previously developed to predict TKE in unidirectional flow through a rigid emergent canopy was modified by replacing the time‐mean current with the RMS wave velocity. With a fitted scale coefficient, the modified model predicts TKE as a function of RMS wave velocity in the meadow, stem and blade geometry, and solid volume fraction. Wave decay was also measured and shown to have a linear correlation with the measured TKE within the canopy, providing a second method to predict meadow TKE in the field.

1 August 2014 in Ecological Engineering
Verified
Journal Article
Closed access
YYYujun Yi
Yujun Yi
CTCAIHONG TANG
CAIHONG TANG
ZYZhifeng Yang
Zhifeng Yang
XCXi Chen
Xi Chen

1 October 2014 in Ecological Engineering
Verified
Journal Article
Closed access
YYYujun Yi
Yujun Yi
XCXi Cheng
Xi Cheng
SWSilke Wieprecht
Silke Wieprecht
CTCAIHONG TANG
CAIHONG TANG