Jianlong Wang

Mr. Jianlong Wang


Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

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

Representative Publications

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3 November 2017 in Water
Verified
Journal Article
Open access
PDF file
JWJianlong Wang
Jianlong Wang
YZYuanling Zhao
Yuanling Zhao
LYLiqiong Yang
Liqiong Yang
NTNannan Tu
Nannan Tu
GXGuangpeng Xi
Guangpeng Xi
XING FANGXING FANG
XING FANG
Heavy metals from urban stormwater runoff are important sources of surface water pollutants. Sand, zeolite, sandy loam, and quartz-sand were separately mixed with lignin to form four bioretention media mixes for experimental study using synthetic stormwater runoff. The average removal efficiencies of four heavy metals (Cu, Zn, Cd, and Pb) by the four media mixes were all better than 97% at the optimum pH of 6.05 (ranging from 6 to 8) and the seven-day rainfall-event interval. The influence of the influent concentration and the rainfall-event interval on the removal efficiency of heavy metals by the four media mixes was not significant, but the variation of the removal efficiencies at the four-day rainfall-event interval was large. Under acidic conditions, there was a certain heavy metal dissolution in the four reactors, but the effect on the removal efficiency was minor. Heavy metals were present in the media mainly in the form of the residual fraction (>50%). The accumulation of Cu, Zn, and Cd in the surface planting-soil layer (same humus and sandy-loam mixture for all reactors) was significantly larger than the accumulation at deeper depths but not for Pb. Overall, the heavy metal removal efficiencies by the four media mixes were not significantly different, and the choice of the planting-soil layer can become the control factor of heavy metal removal.

28 December 2020 in Urban Water Journal
Verified
Journal Article
Closed access
JSJianying Song
Jianying Song
JWJianlong Wang
Jianlong Wang
GXGuangpeng Xi
Guangpeng Xi
HLHongjun Lin
Hongjun Lin
The development of urbanization results in a marked increase in impervious areas, destroying the natural geological features and hydrological properties of the urban developed area. This may cause high risk of flooding, runoff pollution, and water shortages. An integral method is proposed to realize the multi-goals management of stormwater runoff, which called sponge city construction, and taken a pilot area of sponge city construction as an example to evaluate the effect of sponge city construction on stormwater quantity control via InfoWorks Integrated Catchment Model (ICM) model. The results showed that the annual total rainfall volume capture ratio is 77.4%, the drainage pipeline capacity was improved and flooding risk was decreased effectively. The high-risk flooding area was reduced about 44.76% of 50-year return period rainfall event with rainfall duration of 24 h. So, sponge city construction provides a novel method for the stormwater integral management.

1 February 2016 in Journal of Contaminant Hydrology
Verified
Journal Article
Closed access
JWJianlong Wang
Jianlong Wang
PZPingping Zhang
Pingping Zhang
LYLiqiong Yang
Liqiong Yang
THTao Huang
Tao Huang

23 April 2019 in Water
Verified
Journal Article
Open access
PDF file
Xiaoning LiXiaoning Li
Xiaoning Li
XING FANGXING FANG
XING FANG
GCGang Chen
Gang Chen
Yongwei GongYongwei Gong
Yongwei Gong
JWJianlong Wang
Jianlong Wang
JLJunqi Jun Li
Junqi Jun Li
An updated two-dimensional flow simulation program, FullSWOF-ZG, which fully (Full) solves shallow water (SW) equations for overland flow (OF) and includes submodules modeling infiltration by zones (Z) and flow interception by grate-inlet (G), was tested with 20 locally depressed curb inlets to validate the inlet efficiency (Eci), and with 80 undepressed curb inlets to validate the inlet lengths (LT) for 100% interception. Previous curb inlet equations were based on certain theoretical approximations and limited experimental data. In this study, 1000 road-curb inlet modeling cases from the combinations of 10 longitudinal slopes (S0, 0.1–1%), 10 cross slopes (Sx, 1.5–6%), and 10 upstream inflows (Qin, 6–24 L/s) were established and modeled to determine LT. The second 1000 modeling cases with the same 10 S0 and 10 Sx and 10 curb inlet lengths (Lci, 0.15–1.5 m) were established to determine Eci. The LT and Eci regression equations were developed as a function of input parameters (S0, Sx, and Qin) and Lci/LT with the multiple linear regression method, respectively. Newly developed regression equations were applied to 10,000 inlet design cases (10 S0, 10 Sx, 10 Qin, and 10 Lci combinations) and comprehensively compared with three equations in previous studies. The 100% intercepted gutter flow (Qg100) equations were derived, and over-prediction of Qg100 from previous methods was strongly correlated to smaller S0. Newly developed equations gave more accurate estimations of LT and Eci over a wide range of input parameters. These equations can be applied to designing urban drainage and road bioretention facilities, since they were developed using a large number of simulation runs with diverse input parameters, but previous methods often overpredict the gutter flow of total interception when the longitudinal slope S0 is small.

17 March 2021 in Environmental Science and Pollution Research
Verified
Journal Article
Closed access
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JWJianlong Wang
Jianlong Wang
MQMeina Qin
Meina Qin
THTao Huang
Tao Huang
NTNannan Tu
Nannan Tu
BLBaitong Li
Baitong Li

22 October 2022 in Journal of Environmental Management
Verified
Journal Article
Closed access
JWJianlong Wang
Jianlong Wang
XWXueting Wang
Xueting Wang
WXWeitong Xu
Weitong Xu
CXChonghua Xue
Chonghua Xue
HLHongxin Li
Hongxin Li
JLJunqi Li
Junqi Li