The Huanghe and Yongding rivers were formed before the early and middle Pliocene epoch. Then they became interior rivers because of the appearance of interior fault lake basins at the end of the Pliocene epoch. The in...The Huanghe and Yongding rivers were formed before the early and middle Pliocene epoch. Then they became interior rivers because of the appearance of interior fault lake basins at the end of the Pliocene epoch. The interior flow period continued until the end of the early Pleistocene or the middle pf the Middle Pleistocene, and then they changed into the exterior rivers again till today.展开更多
In order to understand the water pollution characteristics in Huailai section of the Yongding River,the monitoring from November of 2016 to October of 2017 was conducted. 6 sampling points were selected for monitoring...In order to understand the water pollution characteristics in Huailai section of the Yongding River,the monitoring from November of 2016 to October of 2017 was conducted. 6 sampling points were selected for monitoring 6 indicators,and the temporal-spatial variation characteristics of nitrogen and phosphorus in the river were explored. Moreover,the ratio of nitrogen to phosphorus and an exponential universal formula of power function in logarithmic form were used to analyze temporal-spatial variation rules of nitrogen and phosphorus in water,assess the degree of eutrophication,and analyze eutrophication risk. The results showed that water pollution in Huailai section of the Yongding River was more serious. TN was13. 25 times of concentration limit of class III water in the dividing of surface water environment function area in the " 13 thFive-year" Development Planning" of National Environmental Protection Standard. ON and NO-3-N were the main forms of TN,while mean value of TP was 0. 64 mg/L,and each index had the characteristics of agricultural non-point source pollution. The temporal-spatial distribution characteristics of nitrogen and phosphorus in the water body was obvious. At the time scale,the concentrations of nitrogen and phosphorus in the water body showed seasonal variation; at the space scale,the distribution of nitrogen and phosphorus in the water body was similar. The annual average ratio of nitrogen and phosphorus in Huailai section of the Yongding River was 32. 78,and the phytoplankton was in the overall state of phosphorus limitation. During the flat water period,phosphorus was the limiting nutrient element,and the ratio of nitrogen and phosphorus in the dry period and the abundant water period was suitable for the growth and reproduction of algae. The temporal-spatial variation of water body in Huailai section of the Yongding River was mostly in the " eutrophication" stage. The maximum EI value was 228. 11 in dry season,and the lowest was 213. 06 in flood season,while it was218. 30 in flat water period. The fluvial dynamics process in Huailai section of the Yongding River was good,and the flow pattern of the river was continuous. The flow velocity of the main stream was 0. 43-1. 45 m/s,which was much larger than that of the algal bloom. The risk of cyanobacteria blooms in the main stream was low.展开更多
The water quality of Yongding Reservoir was evaluated by using aquatic ecological techniques combinedwith chemical and physical methods.Of the 14 biological,chemical and physical parameters examined inthis study,10,in...The water quality of Yongding Reservoir was evaluated by using aquatic ecological techniques combinedwith chemical and physical methods.Of the 14 biological,chemical and physical parameters examined inthis study,10,including primary productivity and chlorophyll a.were found to exceed the critical levelsfor eutrophic waters.Most of the indicators and Carlson’s Comprehensive Trophic State Index(TST)indi-ces indicated that the water quality of the western side of the reservoir was worse than that of the easternside.Polluted water from the Yongding River was considered a main source of pollutants in the reser-voir,while the farming of carp in net cages also contributed to the low water quality.A comparison ofthe water quality data in 1982 and 1988 indicated that the rate of eutrophication of Yongding Reservoir was alarming.展开更多
The Yongding New River is essential for the water supplies of Tianjin.To date,there is no comprehensive report that assesses the year-round water quality of the Yongding New River Main stream.Moreover,little attention...The Yongding New River is essential for the water supplies of Tianjin.To date,there is no comprehensive report that assesses the year-round water quality of the Yongding New River Main stream.Moreover,little attention has been given to determining a combined weight for improving the traditional comprehensive water quality identification index(ICWQII)by the game theory.Seven water quality parameters were investigated monthly along the main stream of the Yongding New River from May 2018 to April 2019.Organic contaminants and nitrogen pollution were mainly caused by point sources pollution,and the total phosphorus mainly by non-point source pollution.Dramatic spatio-temporal variations of water quality parameters were jointly caused by different pollutant sources and hydrometeorological factors.In terms of this study,an improved comprehensive water quality identification index(ICWQII)based on entropy weight or variation coefficient and traditional CWQII underestimated the water qualities,and an ICWQII based on the superstandard multiple method overvalued the assessments.By contrast,water qualities assessments done with an ICWQII based on the game theory matched perfectly with the practical situation.The ICWQII based on game theory proposed in this study takes into account not only the degree of disorder and variation of water quality data,but also the influence of standard-exceeded pollution indicators,whose results are relatively reasonable.All findings and the ICWQII based on game theory can provide scientific support for decisions related to the water environment management of the Yongding New River and other waters.展开更多
The Mesoproterozoic Wumishan Formation, composed of dolomite is a widely distributed stratigraphic unit in the Beijing area. It was formed over a long period of time in the Yan-Liao aulacogen, a stable peritidal envir...The Mesoproterozoic Wumishan Formation, composed of dolomite is a widely distributed stratigraphic unit in the Beijing area. It was formed over a long period of time in the Yan-Liao aulacogen, a stable peritidal environment that was ideal for recording earthquakes in the form of soft-sediment deformation structures (SSDS). Numerous examples occur in the upper part of the Wumishan Formation, along the Yongding River Valley. In addition, brittle structures include intrastratal fault and seismically cracked breccias. The soft-sediment deformation structures include liquefied features (diapirs, clastic dykes, convolute bedding), compressional deformation features (accordion folds, plate-spine breccias, mound-and-sag structures), and extensional plastic features (loop-bedding). Based on the regional geological setting and previous research, movements along the main axial fault of the Yan-Liao aulacogen are considered as the triggers for earthquakes since the Early Mesoproterozoic. The number and distribution of the SSDS suggest the major earthquake frequency in the Wumishan Formation of 20 to 32 thousand years.展开更多
The Yongding River in the western suburbs of Beijing has been recharged with reclaimed water since 2010 for the purpose of ecological restoration.Where the reclaimed water is not well treated,it poses a danger to the ...The Yongding River in the western suburbs of Beijing has been recharged with reclaimed water since 2010 for the purpose of ecological restoration.Where the reclaimed water is not well treated,it poses a danger to the aquifer underneath the river.To provide a reliable tool which could be used in future research to quantify the influence of reclaimed water in the Yongding River on the local groundwater environment,a transient groundwater flow and reactive solute transport model was developed using FEFLOW^TM in the middle-upper part of the Yongding River Alluvium Fan.The numerical model was calibrated against the observed groundwater levels and the concentrations of typical solutes from June 2009 to May 2010 and validated from June 2010 to December 2010.The average RMSE and R2 of groundwater level at four observation wells are 0.48 m and 0.61,respectively.The reasonable agreement between observed and simulated results demonstrates that the developed model is reliable and capable of predicting the behavior of groundwater flow and typical contaminant transport with reactions.Water budget analysis indicates that the water storage in this aquifer had decreased by 43.76×10^6m^3 distributions of typical solutes suggest that the middle and southern parts of the unconfined aquifer have been polluted by previous discharge of industrial and domestic sewage.The results underscore the necessity of predicting the groundwater response to reclaimed water being discharged into the Yongding River.The study established a coupled groundwater flow and reactive solute transport model in the middle-upper part of the Yongding River Alluvium Fan,one of the drinking water supply sites in Beijing city.The model would be used for risk assessment when reclaimed water was recharged into Yongding River.展开更多
The excessive exposure to high concentrations of fluoride in drinking water can lead to a serious disease called fluorosis.The upstream region of the Yongding River is an ecological protection area for Beijing.Some st...The excessive exposure to high concentrations of fluoride in drinking water can lead to a serious disease called fluorosis.The upstream region of the Yongding River is an ecological protection area for Beijing.Some studies have reported that there is a high concentration of fluoride in the groundwater in this area.However,there are few data on the distribution of fluoride in surface water and health risk assessments in this area.In this study,the fluoride concentrations were determined by using the spectrophotometric method using data from 2013 to 2017 from 9 surface water quality monitoring stations in the upper reaches of the Yongding River.The health risks of fluoride were assessed using the approach developed by the United States Environmental Protection Agency(US EPA).The results indicated that the fluoride content in the drinking water ranged from 0.30 to 1.50 mg L 1,with an average of 0.86 mg L"1.In total,22.7%of the analyzed samples exceeded the Chinese limit of 1.0 mg L"1 for fluoride,and 5.5%of samples had less than the permissible limit of 0.5 mg L"1.Higher fluoride concentrations and fluorosis hotspots were found to be predominately located downstream of the Yanghe River close to the Guanting Reservoir,where 71.4%of samples exceeded the limit of 1.0 mg/L'1.The spatial distribution of high fluoride concentrations was found to be primarily determined by industry.The hazard quotient(HQ)index for children,teenagers and adults indicated that 19.6%,15.6%,and 5.1%of the samples in the upper reaches of the Yongding River,respectively,posed health hazards to the associated groups.Furthermore,the HQ index more than 1 for children,teenagers and adults had values of 64.3%,56.1%,and 19.4%,respectively,in samples from the downstream region of the Yanghe River.Therefore,there are potential risks of dental and skeletal fluorosis in the upper river reaches of the Yongding River.It is imperative to take measures to reduce the fluoride pollution in surface water and control fluorosis.Action should be taken to improve the disposal of industrial waste.展开更多
The high population and concrete environment alter urban areas by changing temperature, rainfall runoff, and water resource utilization activities. This study was conducted to investigate the water quality features of...The high population and concrete environment alter urban areas by changing temperature, rainfall runoff, and water resource utilization activities. This study was conducted to investigate the water quality features of the Yongding Diversion Channel in Beijing, China, and its relationship with rainfall and urban development. Monthly water quality data were obtained from April to October of 2004 at monitoring sites of Sanjiadian, Gaojing, Luodaozhuang, and Yuyuangtan. The monthly water quality grades from 2007 to 2011 were also investigated and compared with those of other rivers. Dissolved oxygen and pH showed greater decreases after one or two moderate rainfall events than several light rainfall events. The potassium permanganate index (CODMn), ammonia nitrogen (NH3-N) and total phosphorus (TP) increased more after several light rainfall events than after one or two moderate or heavy rainfall events. Pollutant concentrations (CODMn, NH3-N, TP) in downstream regions showed greater changes than those in upstream areas after heavy rainfall events. Intense human activities around the channel greatly influenced the water quality of the channel in rainy season because of runoff pollution; however, heavy rainfall had a strong dilution effect on the pollutant concentrations in rivers. Overall, urban development has obviously deteriorated the water quality of the Yongding Diversion Channel as indicated by an increase in the water quality index from 3.22 in 2008 to 4.55 in 2010. The Pearson correlation between monthly rainfall and water quality indices from 2007 to 2011 ranged from 0.1286 to 0.6968, generally becoming weaker as rainfall and rainfall runoff became more random and extreme.展开更多
Nowadays, spatial simulation on land use patterns is one of the key contents of LUCC. Modeling is an important tool for simulating land use patterns due to its ability to integrate measurements of changes in land cove...Nowadays, spatial simulation on land use patterns is one of the key contents of LUCC. Modeling is an important tool for simulating land use patterns due to its ability to integrate measurements of changes in land cover and the associated drivers. The conventional regression model can only analyze the correlation between land use types and driving factors but cannot depict the spatial autocorrelation characteristics. Land uses in Yongding County, which is located in the typical karst mountain areas in northwestern Hunan province, were investigated by means of modeling the spatial autocorrelation of land use types with the purpose of deriving better spatial land use patterns on the basis of terrain characteristics and infrastructural conditions. Through incorporating components describing the spatial autocorrelation into a conventional logistic model, we constructed a regression model (Autologistic model), and used this model to simulate and analyze the spatial land use patterns in Yongding County. According to the comparison with the conventional logistic model without considering the spatial autocorrelation, this model showed better goodness and higher accuracy of fitting. The distribution of arable land, wood land, built-up land and unused land yielded areas under the ROC curves (AUC) was improved to 0.893, 0.940, 0.907 and 0.863 respectively with the autologistic model. It is argued that the improved model based on autologistic method was reasonable to a certain extent. Meanwhile, these analysis results could provide valuable information for modeling future land use change scenarios with actual conditions of local and regional land use, and the probability maps of land use types obtained from this study could also support government decision-making on land use management for Yongding County and other similar areas.展开更多
文摘The Huanghe and Yongding rivers were formed before the early and middle Pliocene epoch. Then they became interior rivers because of the appearance of interior fault lake basins at the end of the Pliocene epoch. The interior flow period continued until the end of the early Pleistocene or the middle pf the Middle Pleistocene, and then they changed into the exterior rivers again till today.
基金Supported by the National Water Pollution Control and Treatment Science and Technology Major Project(2015ZX07203-005-06)
文摘In order to understand the water pollution characteristics in Huailai section of the Yongding River,the monitoring from November of 2016 to October of 2017 was conducted. 6 sampling points were selected for monitoring 6 indicators,and the temporal-spatial variation characteristics of nitrogen and phosphorus in the river were explored. Moreover,the ratio of nitrogen to phosphorus and an exponential universal formula of power function in logarithmic form were used to analyze temporal-spatial variation rules of nitrogen and phosphorus in water,assess the degree of eutrophication,and analyze eutrophication risk. The results showed that water pollution in Huailai section of the Yongding River was more serious. TN was13. 25 times of concentration limit of class III water in the dividing of surface water environment function area in the " 13 thFive-year" Development Planning" of National Environmental Protection Standard. ON and NO-3-N were the main forms of TN,while mean value of TP was 0. 64 mg/L,and each index had the characteristics of agricultural non-point source pollution. The temporal-spatial distribution characteristics of nitrogen and phosphorus in the water body was obvious. At the time scale,the concentrations of nitrogen and phosphorus in the water body showed seasonal variation; at the space scale,the distribution of nitrogen and phosphorus in the water body was similar. The annual average ratio of nitrogen and phosphorus in Huailai section of the Yongding River was 32. 78,and the phytoplankton was in the overall state of phosphorus limitation. During the flat water period,phosphorus was the limiting nutrient element,and the ratio of nitrogen and phosphorus in the dry period and the abundant water period was suitable for the growth and reproduction of algae. The temporal-spatial variation of water body in Huailai section of the Yongding River was mostly in the " eutrophication" stage. The maximum EI value was 228. 11 in dry season,and the lowest was 213. 06 in flood season,while it was218. 30 in flat water period. The fluvial dynamics process in Huailai section of the Yongding River was good,and the flow pattern of the river was continuous. The flow velocity of the main stream was 0. 43-1. 45 m/s,which was much larger than that of the algal bloom. The risk of cyanobacteria blooms in the main stream was low.
文摘The water quality of Yongding Reservoir was evaluated by using aquatic ecological techniques combinedwith chemical and physical methods.Of the 14 biological,chemical and physical parameters examined inthis study,10,including primary productivity and chlorophyll a.were found to exceed the critical levelsfor eutrophic waters.Most of the indicators and Carlson’s Comprehensive Trophic State Index(TST)indi-ces indicated that the water quality of the western side of the reservoir was worse than that of the easternside.Polluted water from the Yongding River was considered a main source of pollutants in the reser-voir,while the farming of carp in net cages also contributed to the low water quality.A comparison ofthe water quality data in 1982 and 1988 indicated that the rate of eutrophication of Yongding Reservoir was alarming.
基金supported by the Item of Yongding River ecological architecturethe restoration of technology research and demonstration,Open Research Fund Program of State Key Laboratory of Water Resources and Hydropower Engineering Science(No.2009B050)the National Natural Science Foundation of China(No.50809027)
基金supported by the National Natural Science Foundation of China(No.41807386)Tianjin Financial Budget Project of 2018。
文摘The Yongding New River is essential for the water supplies of Tianjin.To date,there is no comprehensive report that assesses the year-round water quality of the Yongding New River Main stream.Moreover,little attention has been given to determining a combined weight for improving the traditional comprehensive water quality identification index(ICWQII)by the game theory.Seven water quality parameters were investigated monthly along the main stream of the Yongding New River from May 2018 to April 2019.Organic contaminants and nitrogen pollution were mainly caused by point sources pollution,and the total phosphorus mainly by non-point source pollution.Dramatic spatio-temporal variations of water quality parameters were jointly caused by different pollutant sources and hydrometeorological factors.In terms of this study,an improved comprehensive water quality identification index(ICWQII)based on entropy weight or variation coefficient and traditional CWQII underestimated the water qualities,and an ICWQII based on the superstandard multiple method overvalued the assessments.By contrast,water qualities assessments done with an ICWQII based on the game theory matched perfectly with the practical situation.The ICWQII based on game theory proposed in this study takes into account not only the degree of disorder and variation of water quality data,but also the influence of standard-exceeded pollution indicators,whose results are relatively reasonable.All findings and the ICWQII based on game theory can provide scientific support for decisions related to the water environment management of the Yongding New River and other waters.
文摘The Mesoproterozoic Wumishan Formation, composed of dolomite is a widely distributed stratigraphic unit in the Beijing area. It was formed over a long period of time in the Yan-Liao aulacogen, a stable peritidal environment that was ideal for recording earthquakes in the form of soft-sediment deformation structures (SSDS). Numerous examples occur in the upper part of the Wumishan Formation, along the Yongding River Valley. In addition, brittle structures include intrastratal fault and seismically cracked breccias. The soft-sediment deformation structures include liquefied features (diapirs, clastic dykes, convolute bedding), compressional deformation features (accordion folds, plate-spine breccias, mound-and-sag structures), and extensional plastic features (loop-bedding). Based on the regional geological setting and previous research, movements along the main axial fault of the Yan-Liao aulacogen are considered as the triggers for earthquakes since the Early Mesoproterozoic. The number and distribution of the SSDS suggest the major earthquake frequency in the Wumishan Formation of 20 to 32 thousand years.
基金the project of the National Natural Science Foundation of China (Grant Nos.51379207 and 51609118)Beijing Municipal Science and Technology Project (No.D090409004009004).
文摘The Yongding River in the western suburbs of Beijing has been recharged with reclaimed water since 2010 for the purpose of ecological restoration.Where the reclaimed water is not well treated,it poses a danger to the aquifer underneath the river.To provide a reliable tool which could be used in future research to quantify the influence of reclaimed water in the Yongding River on the local groundwater environment,a transient groundwater flow and reactive solute transport model was developed using FEFLOW^TM in the middle-upper part of the Yongding River Alluvium Fan.The numerical model was calibrated against the observed groundwater levels and the concentrations of typical solutes from June 2009 to May 2010 and validated from June 2010 to December 2010.The average RMSE and R2 of groundwater level at four observation wells are 0.48 m and 0.61,respectively.The reasonable agreement between observed and simulated results demonstrates that the developed model is reliable and capable of predicting the behavior of groundwater flow and typical contaminant transport with reactions.Water budget analysis indicates that the water storage in this aquifer had decreased by 43.76×10^6m^3 distributions of typical solutes suggest that the middle and southern parts of the unconfined aquifer have been polluted by previous discharge of industrial and domestic sewage.The results underscore the necessity of predicting the groundwater response to reclaimed water being discharged into the Yongding River.The study established a coupled groundwater flow and reactive solute transport model in the middle-upper part of the Yongding River Alluvium Fan,one of the drinking water supply sites in Beijing city.The model would be used for risk assessment when reclaimed water was recharged into Yongding River.
基金The National Major Science and Technology Program for Water Pollution Control and Treatment,No.2017-ZX07101001。
文摘The excessive exposure to high concentrations of fluoride in drinking water can lead to a serious disease called fluorosis.The upstream region of the Yongding River is an ecological protection area for Beijing.Some studies have reported that there is a high concentration of fluoride in the groundwater in this area.However,there are few data on the distribution of fluoride in surface water and health risk assessments in this area.In this study,the fluoride concentrations were determined by using the spectrophotometric method using data from 2013 to 2017 from 9 surface water quality monitoring stations in the upper reaches of the Yongding River.The health risks of fluoride were assessed using the approach developed by the United States Environmental Protection Agency(US EPA).The results indicated that the fluoride content in the drinking water ranged from 0.30 to 1.50 mg L 1,with an average of 0.86 mg L"1.In total,22.7%of the analyzed samples exceeded the Chinese limit of 1.0 mg L"1 for fluoride,and 5.5%of samples had less than the permissible limit of 0.5 mg L"1.Higher fluoride concentrations and fluorosis hotspots were found to be predominately located downstream of the Yanghe River close to the Guanting Reservoir,where 71.4%of samples exceeded the limit of 1.0 mg/L'1.The spatial distribution of high fluoride concentrations was found to be primarily determined by industry.The hazard quotient(HQ)index for children,teenagers and adults indicated that 19.6%,15.6%,and 5.1%of the samples in the upper reaches of the Yongding River,respectively,posed health hazards to the associated groups.Furthermore,the HQ index more than 1 for children,teenagers and adults had values of 64.3%,56.1%,and 19.4%,respectively,in samples from the downstream region of the Yanghe River.Therefore,there are potential risks of dental and skeletal fluorosis in the upper river reaches of the Yongding River.It is imperative to take measures to reduce the fluoride pollution in surface water and control fluorosis.Action should be taken to improve the disposal of industrial waste.
基金supported by the National Science Foundation for Innovative Research Group (No. 51121003)the Open Research Fund Program of Key Laboratory of Urban Stormwater System and Water Environment (BUCEA)+1 种基金the National Science Foundation of China (No. 51278054)the FST Short Term PD & VF Scheme 2013 and MYRG072(Y1-L2)-FST13-LIC from University of Macao
文摘The high population and concrete environment alter urban areas by changing temperature, rainfall runoff, and water resource utilization activities. This study was conducted to investigate the water quality features of the Yongding Diversion Channel in Beijing, China, and its relationship with rainfall and urban development. Monthly water quality data were obtained from April to October of 2004 at monitoring sites of Sanjiadian, Gaojing, Luodaozhuang, and Yuyuangtan. The monthly water quality grades from 2007 to 2011 were also investigated and compared with those of other rivers. Dissolved oxygen and pH showed greater decreases after one or two moderate rainfall events than several light rainfall events. The potassium permanganate index (CODMn), ammonia nitrogen (NH3-N) and total phosphorus (TP) increased more after several light rainfall events than after one or two moderate or heavy rainfall events. Pollutant concentrations (CODMn, NH3-N, TP) in downstream regions showed greater changes than those in upstream areas after heavy rainfall events. Intense human activities around the channel greatly influenced the water quality of the channel in rainy season because of runoff pollution; however, heavy rainfall had a strong dilution effect on the pollutant concentrations in rivers. Overall, urban development has obviously deteriorated the water quality of the Yongding Diversion Channel as indicated by an increase in the water quality index from 3.22 in 2008 to 4.55 in 2010. The Pearson correlation between monthly rainfall and water quality indices from 2007 to 2011 ranged from 0.1286 to 0.6968, generally becoming weaker as rainfall and rainfall runoff became more random and extreme.
基金National High Technology Research and Development Program of China, No.2008AA12Z106 National Natural Science Foundation of China, No.40801166 No.40771198
文摘Nowadays, spatial simulation on land use patterns is one of the key contents of LUCC. Modeling is an important tool for simulating land use patterns due to its ability to integrate measurements of changes in land cover and the associated drivers. The conventional regression model can only analyze the correlation between land use types and driving factors but cannot depict the spatial autocorrelation characteristics. Land uses in Yongding County, which is located in the typical karst mountain areas in northwestern Hunan province, were investigated by means of modeling the spatial autocorrelation of land use types with the purpose of deriving better spatial land use patterns on the basis of terrain characteristics and infrastructural conditions. Through incorporating components describing the spatial autocorrelation into a conventional logistic model, we constructed a regression model (Autologistic model), and used this model to simulate and analyze the spatial land use patterns in Yongding County. According to the comparison with the conventional logistic model without considering the spatial autocorrelation, this model showed better goodness and higher accuracy of fitting. The distribution of arable land, wood land, built-up land and unused land yielded areas under the ROC curves (AUC) was improved to 0.893, 0.940, 0.907 and 0.863 respectively with the autologistic model. It is argued that the improved model based on autologistic method was reasonable to a certain extent. Meanwhile, these analysis results could provide valuable information for modeling future land use change scenarios with actual conditions of local and regional land use, and the probability maps of land use types obtained from this study could also support government decision-making on land use management for Yongding County and other similar areas.