Jun Ma
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
Research Subjects
Jun Ma has a total of 11 co-authors. Here are the top co-authors by number of shared publications:
- Zhifang Zhou
School of Earth Sciences and Engineering, Hohai University, Nanjing, China
4 shared publications - Shumei Zhu
School of Earth Sciences and Engineering, Hohai University, Nanjing, China
3 shared publications - Qiaona Guo
School of Earth Sciences and Engineering, Hohai University, Nanjing, China
2 shared publications Jia Xiong
Pearl River Hydrology and Water Resources Suvery Center
1 shared publication- Jia Xiong
Pearl River Hydrology and Water Resources Survey Center, Bureau of Hydrology and Water Resources, Pearl River Water Resources Commission of the Ministry of Water Resources, Guangzhou, China
1 shared publication Lusi Wei
Pearl River Hydrology and Water Resources Suvery Center
1 shared publication
Latest Publications
- 18 September 2024
- Published by Springer Nature in Acta Geophysica
- Vol. 73 (2) , 1719-1739
A study on geoelectrical recognition model of seawater/freshwater interface based on convolutional neural network: an application in sand tank experiments
- 18 September 2024
- Published by Springer Nature in Acta Geophysica
- Vol. 73 (2) , 1719-1739
A study on geoelectrical recognition model of seawater/freshwater interface based on convolutional neural network: an application in sand tank experiments
- Open Access
- 16 January 2024
- Published by Springer Nature in Research Square
A geoelectrical recognition model of seawater/freshwater interface types based on convolutional neural network
Seawater intrusion is a global environmental issue, and seawater intrusion monitoring requires a multidisciplinary approach to improve accuracy. The seawater/freshwater interface simplified models in coastal aquifers are generally divided into two types: abrupt interface model and wedge-shaped interface model. Electrical resistivity tomography (ERT) is the visualization of the subsurface resistivity distribution in 2D or 3D, which have been widely used in the seawater intrusion monitoring. This paper presented a geoelectrical recognition model to classify the simplified seawater/freshwater interface types in the process of seawater intrusion based on Convolutional Neural Network (CNN). The seawater intrusion laboratory experiments were carried out to simulate the process of seawater intrusion caused by water level of seawater rise or the water level of freshwater drop, and the ERT method was carried out to monitor the resistivity of the aquifer during the experiments, and the geoelectrical recognition model was used to classify the interface types. The results showed that the ERT method offered a fast and non-destructive approach for monitoring seawater intrusion, and the accurate recognition results of interface types were obtained using the well-trained recognition model in the laboratory experiments.
- 16 January 2024
- Published by Springer Nature in Research Square
Open AccessA geoelectrical recognition model of seawater/freshwater interface types based on convolutional neural network
Seawater intrusion is a global environmental issue, and seawater intrusion monitoring requires a multidisciplinary approach to improve accuracy. The seawater/freshwater interface simplified models in coastal aquifers are generally divided into two types: abrupt interface model and wedge-shaped interface model. Electrical resistivity tomography (ERT) is the visualization of the subsurface resistivity distribution in 2D or 3D, which have been widely used in the seawater intrusion monitoring. This paper presented a geoelectrical recognition model to classify the simplified seawater/freshwater interface types in the process of seawater intrusion based on Convolutional Neural Network (CNN). The seawater intrusion laboratory experiments were carried out to simulate the process of seawater intrusion caused by water level of seawater rise or the water level of freshwater drop, and the ERT method was carried out to monitor the resistivity of the aquifer during the experiments, and the geoelectrical recognition model was used to classify the interface types. The results showed that the ERT method offered a fast and non-destructive approach for monitoring seawater intrusion, and the accurate recognition results of interface types were obtained using the well-trained recognition model in the laboratory experiments.
- Open Access
- 1 January 2021
- Published by Walter de Gruyter GmbH in Open Geosciences
- Vol. 13 (1) , 820-834
Origin of the low-medium temperature hot springs around Nanjing, China
The exploration of the origin of hot spring is the basis of its development and utilization. There are many low-medium temperature hot springs in Nanjing and its surrounding karst landform areas, such as the Tangshan, Tangquan, Lunshan, and Xiangquan hot springs. This article discusses the origin characters of the Lunshan hot spring with geological condition analysis, hydrogeochemical data, and isotope data. The results show that the hot water is SO 4 –Ca type in Lunshan area, and the cation content of SO 4 is high, which are related to the deep hydrogeological conditions of the circulation in the limestone. Carbonate and anhydrite dissolutions occur in the groundwater circulation process, and they also dominate the water–rock interaction processes in the geothermal reservoir of Lunshan. The hot water rising channels are deeply affected by the NW and SN faults. Schematic diagrams of the conceptual model of the geothermal water circulation in Lunshan are plotted. The origin of Tangshan, Tangquan, and Xiangquan hot springs are similar to the Lunshan hot spring. In general, the geothermal water in karst landforms around Nanjing mainly runs through the carbonate rock area and is exposed near the core of the anticlinal structure of karst strata, forming SO 4 –Ca/SO 4 –Ca–Mg type hot spring with the water temperature less than 60°C. The characters of the hot springs around Nanjing are similar, which are helpful for the further research, development, and management of the geothermal water resources in this region.
- 1 January 2021
- Published by Walter de Gruyter GmbH in Open Geosciences
- Vol. 13 (1) , 820-834
Open AccessOrigin of the low-medium temperature hot springs around Nanjing, China
The exploration of the origin of hot spring is the basis of its development and utilization. There are many low-medium temperature hot springs in Nanjing and its surrounding karst landform areas, such as the Tangshan, Tangquan, Lunshan, and Xiangquan hot springs. This article discusses the origin characters of the Lunshan hot spring with geological condition analysis, hydrogeochemical data, and isotope data. The results show that the hot water is SO 4 –Ca type in Lunshan area, and the cation content of SO 4 is high, which are related to the deep hydrogeological conditions of the circulation in the limestone. Carbonate and anhydrite dissolutions occur in the groundwater circulation process, and they also dominate the water–rock interaction processes in the geothermal reservoir of Lunshan. The hot water rising channels are deeply affected by the NW and SN faults. Schematic diagrams of the conceptual model of the geothermal water circulation in Lunshan are plotted. The origin of Tangshan, Tangquan, and Xiangquan hot springs are similar to the Lunshan hot spring. In general, the geothermal water in karst landforms around Nanjing mainly runs through the carbonate rock area and is exposed near the core of the anticlinal structure of karst strata, forming SO 4 –Ca/SO 4 –Ca–Mg type hot spring with the water temperature less than 60°C. The characters of the hot springs around Nanjing are similar, which are helpful for the further research, development, and management of the geothermal water resources in this region.
- Open Access
- 2 April 2020
- Published by MDPI AG in Sustainability
- Vol. 12 (7) , 2842
A Study on the Cause of Layered Seawater Intrusion in the Daqing River Estuary of Liaodong Bay, China
Groundwater over-pumping in estuary cities leads to a series of groundwater environmental problems that seriously restricts economic development. On the basis of field investigation and long-term monitoring data analysis, a three-dimensional numerical model was built in the estuary of the Daqing River in Liaodong Bay, China. The Quaternary overburden can be generalized into five layers according to particle composition and parameters in the vertical direction. There are many scattered irrigation wells pumping in the second layer, and three water source areas mainly pumping groundwater in the fourth layer. Long-term over-pumping in multi-layered aquifers causes onshore layered seawater intrusion. The laws of layered intrusion under the layered pumping were calculated and analyzed with SEAWAT-2000, and the sensitivity was analyzed with the Sobol method. Results showed that the intrusion area had an obvious layered law. Layered pumping directly affected the layered intrusion area, as different permeability, tide and barrage further affected it. The prediction study showed that the cone of depression recovered after the pumping-limit of water source areas, and the intrusion area started to retreat in the fourth layer. At that time, the pumping quantity of irrigation wells became the main reason for the increase of the intrusion area. If the water source areas are used to bear part of the irrigation demand, so as to reduce the pressure of pumping in the second layer, the overall intrusion area can be reduced by about 0.23 km2 under the same pumping quantity.
- 2 April 2020
- Published by MDPI AG in Sustainability
- Vol. 12 (7) , 2842
Open AccessA Study on the Cause of Layered Seawater Intrusion in the Daqing River Estuary of Liaodong Bay, China
Groundwater over-pumping in estuary cities leads to a series of groundwater environmental problems that seriously restricts economic development. On the basis of field investigation and long-term monitoring data analysis, a three-dimensional numerical model was built in the estuary of the Daqing River in Liaodong Bay, China. The Quaternary overburden can be generalized into five layers according to particle composition and parameters in the vertical direction. There are many scattered irrigation wells pumping in the second layer, and three water source areas mainly pumping groundwater in the fourth layer. Long-term over-pumping in multi-layered aquifers causes onshore layered seawater intrusion. The laws of layered intrusion under the layered pumping were calculated and analyzed with SEAWAT-2000, and the sensitivity was analyzed with the Sobol method. Results showed that the intrusion area had an obvious layered law. Layered pumping directly affected the layered intrusion area, as different permeability, tide and barrage further affected it. The prediction study showed that the cone of depression recovered after the pumping-limit of water source areas, and the intrusion area started to retreat in the fourth layer. At that time, the pumping quantity of irrigation wells became the main reason for the increase of the intrusion area. If the water source areas are used to bear part of the irrigation demand, so as to reduce the pressure of pumping in the second layer, the overall intrusion area can be reduced by about 0.23 km2 under the same pumping quantity.
- Open Access
- 9 December 2019
- Published by MDPI AG in Sustainability
- Vol. 11 (24) , 7013
Spatial Characterization of Seawater Intrusion in a Coastal Aquifer of Northeast Liaodong Bay, China
The safety of groundwater resources in coastal areas is related to the sustainable development of the national economy and society. Seawater intrusion is a serious problem threatening the groundwater environment in coastal areas. Climate change, tidal effects and groundwater exploitation may destroy the balance between salt water and fresh water in coastal aquifers, leading to seawater intrusion. The threat of seawater intrusion has attracted close attention, especially in the coastal areas of northern China, and the accuracy and efficiency of seawater intrusion monitoring need to be improved. The aim of this study was to fill the blanks in seawater intrusion research in the coastal aquifer of the Daqing River Catchment, northeastern Liaodong Bay, China, and determine the extent and evolutionary characteristics of seawater intrusion in this area. In this study, historical chloride concentration data were used to trace the evolution of the salinization, and electrical resistivity tomography (ERT) was used to supplement the data in areas with limited hydrochemical data and to detect the saltwater/freshwater interface, especially in the area near the Xihai Sluice. The results show that seawater intrusion in the Daqing River Catchment is mainly caused by overexploitation of groundwater. Since 2012, strict controls have been placed on the groundwater exploitation rate, and the chloride concentration of 250 mg/L has receded year by year, with saltwater being significantly reduced by 2018. The Daqing River plays an important role in the saltwater distribution. The Xihai Sluice, located in the lower reaches of the Daqing River, intercepts and controls the seawater intrusion in a certain range by raising the level of fresh groundwater to intercept and control saltwater intrusion within a certain range. The research results also confirmed that a combination of geophysical and geochemical methods is of great value in studying seawater intrusion, especially in areas with limited available hydrochemical data. A monitoring network with ERT instruments and wells should be established to collect regular measurements of the electrical resistivity distribution, as well as the groundwater level and chemical composition.
- 9 December 2019
- Published by MDPI AG in Sustainability
- Vol. 11 (24) , 7013
Open AccessSpatial Characterization of Seawater Intrusion in a Coastal Aquifer of Northeast Liaodong Bay, China
The safety of groundwater resources in coastal areas is related to the sustainable development of the national economy and society. Seawater intrusion is a serious problem threatening the groundwater environment in coastal areas. Climate change, tidal effects and groundwater exploitation may destroy the balance between salt water and fresh water in coastal aquifers, leading to seawater intrusion. The threat of seawater intrusion has attracted close attention, especially in the coastal areas of northern China, and the accuracy and efficiency of seawater intrusion monitoring need to be improved. The aim of this study was to fill the blanks in seawater intrusion research in the coastal aquifer of the Daqing River Catchment, northeastern Liaodong Bay, China, and determine the extent and evolutionary characteristics of seawater intrusion in this area. In this study, historical chloride concentration data were used to trace the evolution of the salinization, and electrical resistivity tomography (ERT) was used to supplement the data in areas with limited hydrochemical data and to detect the saltwater/freshwater interface, especially in the area near the Xihai Sluice. The results show that seawater intrusion in the Daqing River Catchment is mainly caused by overexploitation of groundwater. Since 2012, strict controls have been placed on the groundwater exploitation rate, and the chloride concentration of 250 mg/L has receded year by year, with saltwater being significantly reduced by 2018. The Daqing River plays an important role in the saltwater distribution. The Xihai Sluice, located in the lower reaches of the Daqing River, intercepts and controls the seawater intrusion in a certain range by raising the level of fresh groundwater to intercept and control saltwater intrusion within a certain range. The research results also confirmed that a combination of geophysical and geochemical methods is of great value in studying seawater intrusion, especially in areas with limited available hydrochemical data. A monitoring network with ERT instruments and wells should be established to collect regular measurements of the electrical resistivity distribution, as well as the groundwater level and chemical composition.