Dan Xiao
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Dan Xiao has a total of 19 co-authors. Here are the top co-authors by number of shared publications:
- Wei Fan
School of Environment, Northeast Normal University, Changchun, 130117, China
3 shared publications Mingxin Huo
School of Environment, Northeast Normal University, 2555 Jingyue Street, Changchun 130117, China
2 shared publications- Tao Lyu
Faculty of Engineering and Applied Sciences, Cranfield University, College Road, Cranfield, Bedfordshire MK43 0AL, United Kingdom
2 shared publications - Hexin Yu
School of Environment, Northeast Normal University, No. 2555, Jingyue Street, Changchun 130117, China
1 shared publication - Hongman Hou
School of Food Science and Technology, Dalian Polytechnic University, Dalian 116034, China
1 shared publication Jia'Ao Yu
School of Environment, Northeast Normal University, 2555 Jingyue Street, Changchun 130117, China
1 shared publication
Latest Publications
- Open Access
Threshold Recognition of Water Turbidity for Clogging Prevention during Groundwater Recharge Using Secondary Effluent from Wastewater Treatment Plant
The recharge efficiency during artificial groundwater recharge (AGR) is reduced primarily by clogging that is triggered by suspended particles. However, there are loopholes in the current standards of recharge-water quality for clogging control during AGR, and the threshold values of turbidity to prevent clogging have not been reasonably determined. In this study, secondary effluents from wastewater treatment plants (WWTPs) were injected into saturated sand columns to simulate the process of AGR. Batch experiments under different turbidity conditions were conducted, and the numerical modeling of particle transport and deposition was performed to assess the clogging processes. Theories of single-collector contact and interfacial interaction energy were applied to elucidate possible microcosmic mechanisms. The results showed that the diluted secondary effluent (SE) with turbidities of 0.540 ± 0.050, 1.09 ± 0.050, and 1.84 ± 0.060 NTU caused considerable clogging in the porous media, which decreased the relative hydraulic conductivities (K/K0) by 13.2%, 17.6%, and 83.6%, respectively. The filtered SE with a turbidity of 0.160 NTU did not cause clogging, and K/K0 was reduced by only 1.70%. The clogging was attributed to the deposition of suspended particles in the sand matrix because they have a high collision efficiency (0.007–1.98) and attachment efficiency (0.029–0.589 kBT). Finally, this paper recommends that the turbidity of the recharge water should not exceed 0.500 NTU during AGR practices.
Open AccessThreshold Recognition of Water Turbidity for Clogging Prevention during Groundwater Recharge Using Secondary Effluent from Wastewater Treatment Plant
The recharge efficiency during artificial groundwater recharge (AGR) is reduced primarily by clogging that is triggered by suspended particles. However, there are loopholes in the current standards of recharge-water quality for clogging control during AGR, and the threshold values of turbidity to prevent clogging have not been reasonably determined. In this study, secondary effluents from wastewater treatment plants (WWTPs) were injected into saturated sand columns to simulate the process of AGR. Batch experiments under different turbidity conditions were conducted, and the numerical modeling of particle transport and deposition was performed to assess the clogging processes. Theories of single-collector contact and interfacial interaction energy were applied to elucidate possible microcosmic mechanisms. The results showed that the diluted secondary effluent (SE) with turbidities of 0.540 ± 0.050, 1.09 ± 0.050, and 1.84 ± 0.060 NTU caused considerable clogging in the porous media, which decreased the relative hydraulic conductivities (K/K0) by 13.2%, 17.6%, and 83.6%, respectively. The filtered SE with a turbidity of 0.160 NTU did not cause clogging, and K/K0 was reduced by only 1.70%. The clogging was attributed to the deposition of suspended particles in the sand matrix because they have a high collision efficiency (0.007–1.98) and attachment efficiency (0.029–0.589 kBT). Finally, this paper recommends that the turbidity of the recharge water should not exceed 0.500 NTU during AGR practices.
- 16 November 2022
- Published by Elsevier in Water Research
- Vol. 228 (Pt A) , 119360
A modelling approach to explore the optimum bubble size for micro-nanobubble aeration
- 16 November 2022
- Published by Elsevier in Water Research
- Vol. 228 (Pt A) , 119360
A modelling approach to explore the optimum bubble size for micro-nanobubble aeration
- Open Access
Numerical Modeling of COD Transportation in Liaodong Bay: Impact of COD Loads from Rivers Flowing into the Sea
Pollution loads pose a major threat to the health of the marine environment and the long-term viability of the coastal economy. The present study developed a coupling model to simulate the chemical oxygen demand (COD) transport in upper rivers (1D) and subsequent diffusion in the coastal zone (2D) in Liaodong Bay, based on the HydroInfo system. Three main seagoing rivers, including Daliao, Liao, and Daling Rivers, were selected and investigated for hydrodynamic and hydrochemical analyses. The mathematical model was evaluated by monitoring data from state-controlled cross-sections scattered along the three rivers, and the observation data showed good agreement with simulated values, confirming the model’s accuracy in terms of spatial and temporal distribution. The transport and propagation process of COD in inlet rivers, such as Daliao, Liao, and Daling, including the sea area of Liaodong Bay, were simulated and analyzed. Simulated results revealed that the pollution range of COD in Liaodong Bay was 258–391 km2 in different seasons. The pollutant leakage scenarios for the three rivers entering the sea were simulated utilizing the developed mathematical model. The study simulated and predicted that, in the event of a sudden water pollution accident (e.g., sneak discharge and leakage at various sections of sea-entering rivers, such as Daliao, Liao, and Daling), pollutants might take 2–11 days to reach the sea-entering mouth, and the sea area would take 8–32 days to reach the maximum pollution range. Our numerical modeling may be used to analyze and make decisions on pollution control in Liaodong Bay and major sea-entry rivers, and be useful to water environment management in sea-entry rivers and Liaodong Bay, and water pollution emergency responses.
Open AccessNumerical Modeling of COD Transportation in Liaodong Bay: Impact of COD Loads from Rivers Flowing into the Sea
Pollution loads pose a major threat to the health of the marine environment and the long-term viability of the coastal economy. The present study developed a coupling model to simulate the chemical oxygen demand (COD) transport in upper rivers (1D) and subsequent diffusion in the coastal zone (2D) in Liaodong Bay, based on the HydroInfo system. Three main seagoing rivers, including Daliao, Liao, and Daling Rivers, were selected and investigated for hydrodynamic and hydrochemical analyses. The mathematical model was evaluated by monitoring data from state-controlled cross-sections scattered along the three rivers, and the observation data showed good agreement with simulated values, confirming the model’s accuracy in terms of spatial and temporal distribution. The transport and propagation process of COD in inlet rivers, such as Daliao, Liao, and Daling, including the sea area of Liaodong Bay, were simulated and analyzed. Simulated results revealed that the pollution range of COD in Liaodong Bay was 258–391 km2 in different seasons. The pollutant leakage scenarios for the three rivers entering the sea were simulated utilizing the developed mathematical model. The study simulated and predicted that, in the event of a sudden water pollution accident (e.g., sneak discharge and leakage at various sections of sea-entering rivers, such as Daliao, Liao, and Daling), pollutants might take 2–11 days to reach the sea-entering mouth, and the sea area would take 8–32 days to reach the maximum pollution range. Our numerical modeling may be used to analyze and make decisions on pollution control in Liaodong Bay and major sea-entry rivers, and be useful to water environment management in sea-entry rivers and Liaodong Bay, and water pollution emergency responses.
- 1 May 2021
- Published by Elsevier in Water Research
- Vol. 196, 117039
An integrated approach using ozone nanobubble and cyclodextrin inclusion complexation to enhance the removal of micropollutants
- 1 May 2021
- Published by Elsevier in Water Research
- Vol. 196, 117039
An integrated approach using ozone nanobubble and cyclodextrin inclusion complexation to enhance the removal of micropollutants