Huafang Guo

Huafang Guo


Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

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

Representative Publications

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11 January 2019 in Processes
Verified
Journal Article
Open access
PDF file
HYHua Yin
Hua Yin
PQPeiwen Qiu
Peiwen Qiu
YQYuange Qian
Yuange Qian
ZKZhuwen Kong
Zhuwen Kong
XZXiaolong Zheng
Xiaolong Zheng
HGHuafang Guo
Huafang Guo
The reduced natural waters and the large amount of wastewater produced by textile industry necessitate an effective water reuse treatment. In this study, a combined two-stage water reuse treatment was established to enhance the quality and recovery rate of reused water. The primary treatment incorporated a flocculation and sedimentation system, two sand filtration units, an ozonation unit, an ultrafiltration (UF) system, and a reverse osmosis (RO) system. The second treatment included an ozonation unit, a sand filtration unit, and UF and RO systems. The color removal rate increased with the increasing ozone dosage, and the relational expression between the ozone dosage and color removal rate was fitted. Ozonation greatly reduced the color by 92.59 and 97.27 times during the primary and second ozonation stages, respectively. RO had the highest removal rate. The combined processes showed good performance in water reuse treatment. The treated, reused water satisfied the reuse standard and surpassed the drinking water standard rates for chemical oxygen consumption (CODcr), color, NH3-N, hardness, Cl−, SO42−, turbidity, Fe3+, and Cu2+. The operating cost of reuse water treatment was approximately 0.44 USD·m−3.

25 February 2022 in Science of The Total Environment
Verified
Journal Article
Closed access
KLKai Li
Kai Li
DZDongqing Zhang
Dongqing Zhang
Xiaojun NiuXiaojun Niu
Xiaojun Niu
HGHuafang Guo
Huafang Guo
YYYuanyuan Yu
Yuanyuan Yu
MFMingli Fu
Mingli Fu

7 November 2019 in Applied Sciences
Verified
Journal Article
Open access
PDF file
TZTang Zhihua
Tang Zhihua
MLMinru Liu
Minru Liu
LYLinzi Yi
Linzi Yi
HGHuafang Guo
Huafang Guo
Tingping OuyangTingping Ouyang
Tingping Ouyang
MLMingkun Li
Mingkun Li
This research focused on the contents of the five most bio-toxic heavy metals, As, Cd, Hg, Cr, and Pb of 26 municipal solid waste (MSW) samples from the Eastern Guangdong Area. To investigate the apportion of the heavy metal source, Pearson correlation and principal component analysis (PCA) were introduced as major approaches. The health risks posed to MSW workers exposed to heavy metals in MSW were assessed using a Monte Carlo simulation combined with the US Environmental Protection Agency Health Risk Assessment Model. The As, Cd, Hg, Cr, and Pb contents of the east Guangdong MSW were (0.76 ± 0.75), (2.14 ± 4.44), (0.11 ± 0.14), (55.42 ± 31.88), and (30.67 ± 20.58) mg/kg, respectively. Hg, Cr, and Pb were potentially derived from glass, textile, food waste, and white plastic, while As and Cd were mainly derived from soil and food waste in the MSW. The non-carcinogenic risks of heavy metal in MSW exposure to MSW workers could be ignored. However, the heavy metals in MSW might pose carcinogenic risks, with the probabilities for male and female workers being 35% and 45%, respectively. The non-carcinogenic and carcinogenic risk indices were slightly higher for female workers under the same exposure situations.

24 November 2022 in Energies
Verified
Journal Article
Open access
PDF file
TZTang Zhihua
Tang Zhihua
DLDianhong Li
Dianhong Li
HGHuafang Guo
Huafang Guo
In response to global warming, China has formulated the “double carbon” strategic goals of peaking carbon dioxide emissions before 2030 and reaching carbon neutrality before 2060. The problem of rural carbon emissions is often ignored due to underdeveloped industries and services. In this paper, the carbon emission pathways in the rural areas of Guangdong Province are investigated. Since energy consumption is the main source of carbon emissions, the factor analysis was used to analyze the main factors affecting rural household energy consumption and agricultural production energy consumption. Multiple linear regression was conducted to predict the rural energy consumption demand in Guangdong. Furthermore, the current situation and development trend of rural energy supply, demand and consumption structure, and the potential of renewable energy development were considered to predict carbon emissions in the rural areas of Guangdong. Moreover, the carbon emission pathways in the rural areas of Guangdong were discussed under two scenarios: the base scenario and the radical model.

1 January 2017
Verified
Conference Paper
Open access
PDF file
HYHua Yin
Hua Yin
HGHuafang Guo
Huafang Guo
ZLZhenrong Lin
Zhenrong Lin
BZBo Zeng
Bo Zeng
The economical insulation thickness of the secondary pump lines in the subway system was calculated and analyzed based on the established optimization model of the secondary pump water system and the principle of lowest thermoeconomics cost. The main influencing parameters of the optimal insulation thickness were disclosed, including station loads, transportation radius, tunnel air temperature, tunnel wind speed, supply water temperature, supply-return water temperature difference, heat conducitivity coefficient of the insulation layer, and inner diameter of the pipeline. The loss of refrigeration capacity in the supply and return pipes of the secondary pump water system varies significantly because of the supply-return water temperature difference (generally ≥ 5 °C), thereby resulting in a large gap in the economical insulation thickness. Therefore, calculating the insultion thickness of the supply and return pipes by combining their characteristics is recommended.