The research analyzed social and economic development around Chao Lake as well as changes of water quality in Chao Lake and explored the relation- ships of local population and GDP with water chemical oxygen demand (...The research analyzed social and economic development around Chao Lake as well as changes of water quality in Chao Lake and explored the relation- ships of local population and GDP with water chemical oxygen demand (COD), total phosphorus (TP), total nitrogen (TN), chlorophyll and eutrophication index. The re- sults showed that population around Chao Lake and GDP kept growing from 2001 to 2013, and water quality was improving. In addition, correlation analysis indicated that except of water eutrophication, GDP and population showed inverse correlation with other indices, demonstrating that water quality has been effectively controlled in Chao Lake recently.展开更多
Artificial Neural Network(ANN)models have been extensively applied in the prediction of water resource variables,and Geographical Information System(GIS)includes powerful functions to visualize spatial data.In order t...Artificial Neural Network(ANN)models have been extensively applied in the prediction of water resource variables,and Geographical Information System(GIS)includes powerful functions to visualize spatial data.In order to provide an efficient tool for environmental assessment and management that combines the advantages of these two modules,a GIS-based ANN water quality prediction system was developed in the present study.The ANN module and ArcGIS Engine module,along with a dynamic database,were imbedded in the system,which integrates water quality prediction via the ANN model and spatial presentation of the model results.The structure of the ANN model could be modified through the graphical user interface to optimize the model performance.The developed system was applied to a real case study for the prediction of the total phosphorus concentration in the Lake Champlain area.The prediction results were verified with the monitoring data,and the performance of the developed model was further evaluated through graphical techniques and quantitative statistical methods.Overall,the developed system provided satisfactory prediction results,and spatial distribution maps of the predicted results were obtained,which coincided with the monitored values.The developed GIS-based ANN water quality prediction system could serve as an efficient tool for engineers and decision makers.展开更多
[Objective] The paper was to evaluate the water quality environment in Dachangshan artificial habitat development demonstration area.[Method] From 2013 to 2015, an environmental survey was conducted for eight voyages ...[Objective] The paper was to evaluate the water quality environment in Dachangshan artificial habitat development demonstration area.[Method] From 2013 to 2015, an environmental survey was conducted for eight voyages in Dachangshan artificial habitat development demonstration area of Changhai County, Dalian City, and 20 hydrochemical indexes including salinity, pH, and COD were monitored. The water quality of thesea area was analyzed by principal component analysis and single factor index method. [Result] Except for that the control area of the August 2014voyage belonged to IIclass sea water standard, the water quality in other stations of all voyages conformed toIclass sea water standard. Totally 20water quality indicators were synthesized into six principal components using principal component analysis, which explained 79.165% of the results;the principal component score was ranged from -1.536 to 3.706; the score in August 2014 was the highest, and the evaluation results were basicallyconsistent with the results of single factor index analysis. [Conclusion] The overall water quality is good in Dachangshan artificial habitat development demonstration area.展开更多
Recently there are signs of water quality impairment in Lake Tana, the largest fresh water in Ethiopia. The lake is the growth corridor of the government and supports millions of livelihood around. In order to sustain...Recently there are signs of water quality impairment in Lake Tana, the largest fresh water in Ethiopia. The lake is the growth corridor of the government and supports millions of livelihood around. In order to sustain the benefit and maintain the ecosystem of the lake, the lake health has to be kept safe. Therefore monitoring and evaluation of the water quality of lake is very vital. This study focuses on current and previous trends water quality of the lake through measurements and Landsat Images near entry of Gumera River. Statistical analysis of the physical (Turbidity and STD and biological (Cha-a,) and chemical (DPC) water quality parameters were done. Linear and non-linear regression models between water quality parameter and reflectance of Landsat 7 ETM+ images were fitted based on band combinations. Pervious trend in turbidity was analyzed based on the regression models. The results showed that reflectance and turbidity satisfactorily result with an R2 ranging from 0.61 - 0.68. Form 1999-2014 the turbidity of the lake has indicated an increasing trend. Delta development near the entry of Gumera River has been enlarged by 48% because of an increase sediment inflow. The sign in the decreasing water quality of the lake was attributed to the non-point source sediment and nutrient inflow to the lake with high erosion rate from the watersheds. Measures to reduce the non-point source sediment and nutrient inflow by targeting the source areas (hot spots) in the agricultural watersheds need to be priority for stakeholders working on the soil and water conservation. Moreover, reducing the recession agriculture around the lake and wetland management could be crucial for improving lake water quality.展开更多
UMhlathuze River is the main recipient of domestic sewage, industrial as well as agricultural waste from local industrial and agricultural practices. It is the effluent "dumping sites" for most human activity practi...UMhlathuze River is the main recipient of domestic sewage, industrial as well as agricultural waste from local industrial and agricultural practices. It is the effluent "dumping sites" for most human activity practices. Contamination of UMhlathuze River by agricultural and industrial developments makes communities around UMhlathuze area susceptible to potential outbreaks of water-borne illnesses as well as the risk of ingesting carcinogenic substances. In establishment of the effect of human developments on the UMhlathuze River, four different sites representing different human activities were used for sampling along the river. Temperature and pH were monitored in siitu and were found to vary between 19-21℃and 6.2-7.8, respectively. Chemical oxygen demand (COD) was found to be higher in areas affected by both industrial and agricultural activities. Spectroquadrant Pharo 300 (Merck) was used for chemical analysis of water. Agricultural waste recipient area had high concentration of phosphate, ammonia and nitrate. Parts of the river receiving effluent from treated wastewater had high sulphide, nitrate and ammonia concentrations. Industrial areas had high concentration of heavy metals (e.g., aluminium). Microorganisms found in all sites included Escherichia coli and species of Salmonella, Shigella, Citrobacter, Serratia and Enterobacter, although their quantities differed from agricultural to industrial sites. There was a positive correlation between contamination levels and human activities which ascribe river pollution to activities around the area. Agricultural and industrial development activities practiced around UMhlathuze River have a huge contribution to the continued deterioration of the quality of water at UMhlathuze River.展开更多
Groundwater is a key component for water resources in Sanjiang and Songnen Plain, an important agriculture basement in China. The quality and the renewability of irrigation groundwater are essential for the stock rais...Groundwater is a key component for water resources in Sanjiang and Songnen Plain, an important agriculture basement in China. The quality and the renewability of irrigation groundwater are essential for the stock raising and agricultural production. Shallow groundwater was sampled and analyzed for various variables. The salinity sodium concentration and bicarbonate hazard, were examined with regard to the United States Department of Agriculture (USDA) irrigation water standards. The concentration of chlorofluorocarbons (CFCs) was determined to analyze the age of groundwater. Most groundwater samples labeled as excellent to good for irrigation with low salinity hazard or medium salinity hazard. Four groundwater samples were good and suspected for irrigation with high salinity hazard. Generally groundwater in Sanjiang Plain was younger than the groundwater in Songnen Plain. Meanwhile, groundwater nearby river is younger than the groundwater further away inside the watershed. The mean age of groundwater in Sanjiang Plain is in average of 44.1,47.9 and 32.8 years by CFC-11 (CCI3F), CFC-12 (CCI2F2) and CFC-113 (C2CI3F3), respectively. The mean ages of groundwater in Songnen Plain is in average of 46.1, 53.4, and 40.7 years by CFC-11, CFC-12 and CFC-113, respectively. Thus, groundwater nearby rivers could be directly exploited as irrigation water. Partial groundwater has to be processed to lower the salt concentration rather than directly utilized as irrigation water in Songnen Plain. Both water quality and renewability should be put in mind for sustainable agricultural development and water resources management.展开更多
[Objective] Aim to know the whole process of embryonic development of loach. [Method] DOM + LHRH-A2 was used to induce spawning of loach,then after fertilization,the embryos were cultured into freshwater water with te...[Objective] Aim to know the whole process of embryonic development of loach. [Method] DOM + LHRH-A2 was used to induce spawning of loach,then after fertilization,the embryos were cultured into freshwater water with temperature from 24 to 26 ℃ and pH from 7.0 to 7.5. The embryonic development of loach was observed and 27 concrete morphological characteristics and development time of loach from fertilized egg to newly hatched larval period were described in detail. [Result] The embryonic development of loach could be divided into cleavage stage,blastocyst stage,gastrula stage,neurula stage and organogenesis stage. The loach embryo from fertilized egg to out membrane period was 30 h 45 min in fresh water from 24 to 26 ℃ and pH from 7.0 to 7.5. [Conclusion] It provided important reference for studying artificial propagation and genetic breeding of loach.展开更多
基金Supported by Anhui Environmental Protection Scientific Research Program(2014-004)~~
文摘The research analyzed social and economic development around Chao Lake as well as changes of water quality in Chao Lake and explored the relation- ships of local population and GDP with water chemical oxygen demand (COD), total phosphorus (TP), total nitrogen (TN), chlorophyll and eutrophication index. The re- sults showed that population around Chao Lake and GDP kept growing from 2001 to 2013, and water quality was improving. In addition, correlation analysis indicated that except of water eutrophication, GDP and population showed inverse correlation with other indices, demonstrating that water quality has been effectively controlled in Chao Lake recently.
基金Supported by the National Natural Science Foundation of China(Nos.41807247,41807229)the Special Fund for Shandong Post-doctoral Innovation Project。
文摘Artificial Neural Network(ANN)models have been extensively applied in the prediction of water resource variables,and Geographical Information System(GIS)includes powerful functions to visualize spatial data.In order to provide an efficient tool for environmental assessment and management that combines the advantages of these two modules,a GIS-based ANN water quality prediction system was developed in the present study.The ANN module and ArcGIS Engine module,along with a dynamic database,were imbedded in the system,which integrates water quality prediction via the ANN model and spatial presentation of the model results.The structure of the ANN model could be modified through the graphical user interface to optimize the model performance.The developed system was applied to a real case study for the prediction of the total phosphorus concentration in the Lake Champlain area.The prediction results were verified with the monitoring data,and the performance of the developed model was further evaluated through graphical techniques and quantitative statistical methods.Overall,the developed system provided satisfactory prediction results,and spatial distribution maps of the predicted results were obtained,which coincided with the monitored values.The developed GIS-based ANN water quality prediction system could serve as an efficient tool for engineers and decision makers.
基金Supported by Special Fund for Scientific Research (Marine) in the Public Interest(201205023)Nation Key Technology R&D Program(2012BAD18B02,2015BAD13B05)
文摘[Objective] The paper was to evaluate the water quality environment in Dachangshan artificial habitat development demonstration area.[Method] From 2013 to 2015, an environmental survey was conducted for eight voyages in Dachangshan artificial habitat development demonstration area of Changhai County, Dalian City, and 20 hydrochemical indexes including salinity, pH, and COD were monitored. The water quality of thesea area was analyzed by principal component analysis and single factor index method. [Result] Except for that the control area of the August 2014voyage belonged to IIclass sea water standard, the water quality in other stations of all voyages conformed toIclass sea water standard. Totally 20water quality indicators were synthesized into six principal components using principal component analysis, which explained 79.165% of the results;the principal component score was ranged from -1.536 to 3.706; the score in August 2014 was the highest, and the evaluation results were basicallyconsistent with the results of single factor index analysis. [Conclusion] The overall water quality is good in Dachangshan artificial habitat development demonstration area.
文摘Recently there are signs of water quality impairment in Lake Tana, the largest fresh water in Ethiopia. The lake is the growth corridor of the government and supports millions of livelihood around. In order to sustain the benefit and maintain the ecosystem of the lake, the lake health has to be kept safe. Therefore monitoring and evaluation of the water quality of lake is very vital. This study focuses on current and previous trends water quality of the lake through measurements and Landsat Images near entry of Gumera River. Statistical analysis of the physical (Turbidity and STD and biological (Cha-a,) and chemical (DPC) water quality parameters were done. Linear and non-linear regression models between water quality parameter and reflectance of Landsat 7 ETM+ images were fitted based on band combinations. Pervious trend in turbidity was analyzed based on the regression models. The results showed that reflectance and turbidity satisfactorily result with an R2 ranging from 0.61 - 0.68. Form 1999-2014 the turbidity of the lake has indicated an increasing trend. Delta development near the entry of Gumera River has been enlarged by 48% because of an increase sediment inflow. The sign in the decreasing water quality of the lake was attributed to the non-point source sediment and nutrient inflow to the lake with high erosion rate from the watersheds. Measures to reduce the non-point source sediment and nutrient inflow by targeting the source areas (hot spots) in the agricultural watersheds need to be priority for stakeholders working on the soil and water conservation. Moreover, reducing the recession agriculture around the lake and wetland management could be crucial for improving lake water quality.
文摘UMhlathuze River is the main recipient of domestic sewage, industrial as well as agricultural waste from local industrial and agricultural practices. It is the effluent "dumping sites" for most human activity practices. Contamination of UMhlathuze River by agricultural and industrial developments makes communities around UMhlathuze area susceptible to potential outbreaks of water-borne illnesses as well as the risk of ingesting carcinogenic substances. In establishment of the effect of human developments on the UMhlathuze River, four different sites representing different human activities were used for sampling along the river. Temperature and pH were monitored in siitu and were found to vary between 19-21℃and 6.2-7.8, respectively. Chemical oxygen demand (COD) was found to be higher in areas affected by both industrial and agricultural activities. Spectroquadrant Pharo 300 (Merck) was used for chemical analysis of water. Agricultural waste recipient area had high concentration of phosphate, ammonia and nitrate. Parts of the river receiving effluent from treated wastewater had high sulphide, nitrate and ammonia concentrations. Industrial areas had high concentration of heavy metals (e.g., aluminium). Microorganisms found in all sites included Escherichia coli and species of Salmonella, Shigella, Citrobacter, Serratia and Enterobacter, although their quantities differed from agricultural to industrial sites. There was a positive correlation between contamination levels and human activities which ascribe river pollution to activities around the area. Agricultural and industrial development activities practiced around UMhlathuze River have a huge contribution to the continued deterioration of the quality of water at UMhlathuze River.
基金supported by the Main Direction Program of Knowledge Innovation of Chinese Academy of Sciences(KZCX2-YW-Q06-1)the Key Program of National Natural Science Foundation of China(40830636)+1 种基金the Joint Program of Tianjin Science Foundation,China(15JCQNJC44200)the Doctoral Found of Tianjin Normal University,China(52XB1401)
文摘Groundwater is a key component for water resources in Sanjiang and Songnen Plain, an important agriculture basement in China. The quality and the renewability of irrigation groundwater are essential for the stock raising and agricultural production. Shallow groundwater was sampled and analyzed for various variables. The salinity sodium concentration and bicarbonate hazard, were examined with regard to the United States Department of Agriculture (USDA) irrigation water standards. The concentration of chlorofluorocarbons (CFCs) was determined to analyze the age of groundwater. Most groundwater samples labeled as excellent to good for irrigation with low salinity hazard or medium salinity hazard. Four groundwater samples were good and suspected for irrigation with high salinity hazard. Generally groundwater in Sanjiang Plain was younger than the groundwater in Songnen Plain. Meanwhile, groundwater nearby river is younger than the groundwater further away inside the watershed. The mean age of groundwater in Sanjiang Plain is in average of 44.1,47.9 and 32.8 years by CFC-11 (CCI3F), CFC-12 (CCI2F2) and CFC-113 (C2CI3F3), respectively. The mean ages of groundwater in Songnen Plain is in average of 46.1, 53.4, and 40.7 years by CFC-11, CFC-12 and CFC-113, respectively. Thus, groundwater nearby rivers could be directly exploited as irrigation water. Partial groundwater has to be processed to lower the salt concentration rather than directly utilized as irrigation water in Songnen Plain. Both water quality and renewability should be put in mind for sustainable agricultural development and water resources management.
文摘[Objective] Aim to know the whole process of embryonic development of loach. [Method] DOM + LHRH-A2 was used to induce spawning of loach,then after fertilization,the embryos were cultured into freshwater water with temperature from 24 to 26 ℃ and pH from 7.0 to 7.5. The embryonic development of loach was observed and 27 concrete morphological characteristics and development time of loach from fertilized egg to newly hatched larval period were described in detail. [Result] The embryonic development of loach could be divided into cleavage stage,blastocyst stage,gastrula stage,neurula stage and organogenesis stage. The loach embryo from fertilized egg to out membrane period was 30 h 45 min in fresh water from 24 to 26 ℃ and pH from 7.0 to 7.5. [Conclusion] It provided important reference for studying artificial propagation and genetic breeding of loach.