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中澳河流健康评估
     Th e Rive r H e alth an d
E n viro n m e n tal F lo w in C h in a
               Pro j c t
                    e



     珠江流域水环境监测中心
The wa te r q ua lity mo nito ring
 c e nte r o f Pe a rl Rive r B a s in
汇报内容 O u tlin e

       2
   1       中澳河流健康项目进展及组成

   2       中澳河流健康及环境流量技术细节

   3       项目成果

   4       下一步工作安排
中澳河流健康项目进展
The p ro je c t p ro g re s s
   201 0 年初示范区考察及项目培训
   201 0 年 4 月桂江示范区采样
   201 0 年 5 ~ 6 月赴澳洲共同工作
   201 0 年 7 月北京工作汇报
   201 0 年 1 1 月项目成果广州研讨
   201 1 年中澳环境流量延伸项目
示范区考察及项目培训
fie ld s urve y a nd tra nning
示范区考察及项目培训
fie ld s urve y a nd tra nning
2010 年 4 月桂江示范区采样
fie ld s a mp ling
2010 年 5~ 6 月澳洲共同工
作
wo rk in A us tra lia
   中澳河流健康评估方法及技术细节
       Te c hnic a l d e ta il




1   River Classification to identify homogenous ‘river types’
    河流分类从而确认相同的河流类型
2   Identify suitable measures (indicators) of drivers, stressors and
    response 确认合适的驱使因素,压力源和反应的指标
3   Trial sampling program and refinement of indicators
    采样试验,完善指标
Rive r c las s ific atio n
     河流分类
   Compare apples with apples
示范区河流分类结果
The rive r
c la s s ific a tio n re s ult
in P ilo t s ite s
河流健康指标的选取
                                  Th e rive r h e alth in d ic ato rs
Ecological health indicator
                                  s e le c tio n




                              Reference values



                                Low                             High
                                         Disturbance gradient

                                                                   14
桂河干扰因素
Th e d is tu rb an c e
桂江河流健康指示因子
Th e p o te n tial in d ic to rs o f rive r
h e alth in Pilo t s ite s
1. 底栖无脊椎动物 Mac ro in ve rte b rate
• 鱼类 F is h
• 硅藻 D iato m
• 大型水生高等植物 Mac ro p h yte s
• 生态过程 E c o s ys te m Pro c e s s e s
• 河岸形态 C h an n e l C o n d itio n
                                     16
• 水质 Wate r Q u ality
底栖无脊椎动物
硅藻 D iato m

  disturbing factors           Cond         NH4           TN            Cu
IPS                            -0.61*        -0.667*          -0.36    -0.45*
IBD                           -0.64**        -0.70**          -0.27   -0.49**

The results indicated by the Pearson’s factors,
*. Correlation is significant at the 0.05 level (2-tailed).
**. Correlation is significant at the 0.01 level (2-tailed).
同位素 Is o to p e
水生高等植物
Mac ro p h yte s
数据检验 N o rm al
d is trib u tio n




              
数据检验 N o rm al
d is trib u tio n




                    
Calculating indicator scores 计算指标分数
e.g. metal concentrations ,例如,金属含量

Freq. 监测频率
(# obs.)                   All sites – all years ,所有监测点,所有年




Reference sites ,参考点,所有年     Single site ,单点,报告
– all years                  年
         80th %             50th % year
                             – report                  95th %




                     Concentration ,浓度

           1                                              0
        ( 参考点 )                                       ( 最差情况 )
       Score = 1 - |(observed concentration-REF)/ (WCS – REF)|
       分数 =1- |( 监测浓度 - 参考浓度 )/ ( 最差情况 – 参考浓度 )|
Combining data sets
                         Other water                         Dissolved
                           quality              1
                                                               metals
                                           1
                                                                        As
                                                                    d             H
                                                                   C
                                          0.8


                                          0.6                                      g
                                          0.4
                                                    pH
                              TSS         0.2


                                           0                 Cu                           Pb

                                                              N
                               3                         2




                                                                                  Zn
                                         Cond                  i
                                         .                              Ag



      Tissue             As
                                                                                                 Sediment
                                                                                           As
                                                                                                  g metals
                     d
      metals        C              H
                                    g                                             C
                                                                                      d
                                                                                                H


           Cu                           Pb                               Cu                      Pb


               N                                                             N
                                    Zn




                                                                                                Zn
                i                                                             i
                         Ag                                                                Ag
下一步工作安排
The next work
下一步工作安排
The ne xt wo rk
谢谢各位专家

    Thanks

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5 river health assessment pearl river pilot-cand_e

  • 1. 中澳河流健康评估 Th e Rive r H e alth an d E n viro n m e n tal F lo w in C h in a Pro j c t e 珠江流域水环境监测中心 The wa te r q ua lity mo nito ring c e nte r o f Pe a rl Rive r B a s in
  • 2. 汇报内容 O u tlin e 2 1 中澳河流健康项目进展及组成 2 中澳河流健康及环境流量技术细节 3 项目成果 4 下一步工作安排
  • 3. 中澳河流健康项目进展 The p ro je c t p ro g re s s  201 0 年初示范区考察及项目培训  201 0 年 4 月桂江示范区采样  201 0 年 5 ~ 6 月赴澳洲共同工作  201 0 年 7 月北京工作汇报  201 0 年 1 1 月项目成果广州研讨  201 1 年中澳环境流量延伸项目
  • 6. 2010 年 4 月桂江示范区采样 fie ld s a mp ling
  • 7. 2010 年 5~ 6 月澳洲共同工 作 wo rk in A us tra lia
  • 8. 中澳河流健康评估方法及技术细节  Te c hnic a l d e ta il 1 River Classification to identify homogenous ‘river types’ 河流分类从而确认相同的河流类型 2 Identify suitable measures (indicators) of drivers, stressors and response 确认合适的驱使因素,压力源和反应的指标 3 Trial sampling program and refinement of indicators 采样试验,完善指标
  • 9. Rive r c las s ific atio n 河流分类  Compare apples with apples
  • 10.
  • 11.
  • 12. 示范区河流分类结果 The rive r c la s s ific a tio n re s ult in P ilo t s ite s
  • 13.
  • 14. 河流健康指标的选取 Th e rive r h e alth in d ic ato rs Ecological health indicator s e le c tio n Reference values Low High Disturbance gradient 14
  • 15. 桂河干扰因素 Th e d is tu rb an c e
  • 16. 桂江河流健康指示因子 Th e p o te n tial in d ic to rs o f rive r h e alth in Pilo t s ite s 1. 底栖无脊椎动物 Mac ro in ve rte b rate • 鱼类 F is h • 硅藻 D iato m • 大型水生高等植物 Mac ro p h yte s • 生态过程 E c o s ys te m Pro c e s s e s • 河岸形态 C h an n e l C o n d itio n 16 • 水质 Wate r Q u ality
  • 18. 硅藻 D iato m disturbing factors Cond NH4 TN Cu IPS -0.61* -0.667* -0.36 -0.45* IBD -0.64** -0.70** -0.27 -0.49** The results indicated by the Pearson’s factors, *. Correlation is significant at the 0.05 level (2-tailed). **. Correlation is significant at the 0.01 level (2-tailed).
  • 19. 同位素 Is o to p e
  • 21. 数据检验 N o rm al d is trib u tio n  
  • 22. 数据检验 N o rm al d is trib u tio n 
  • 23. Calculating indicator scores 计算指标分数 e.g. metal concentrations ,例如,金属含量 Freq. 监测频率 (# obs.) All sites – all years ,所有监测点,所有年 Reference sites ,参考点,所有年 Single site ,单点,报告 – all years 年 80th % 50th % year – report 95th % Concentration ,浓度 1 0 ( 参考点 ) ( 最差情况 ) Score = 1 - |(observed concentration-REF)/ (WCS – REF)| 分数 =1- |( 监测浓度 - 参考浓度 )/ ( 最差情况 – 参考浓度 )|
  • 24. Combining data sets Other water Dissolved quality 1 metals 1 As d H C 0.8 0.6 g 0.4 pH TSS 0.2 0 Cu Pb N 3 2 Zn Cond i . Ag Tissue As Sediment As g metals d metals C H g C d H Cu Pb Cu Pb N N Zn Zn i i Ag Ag
  • 25.

Editor's Notes

  1. This figure would be used in the methods – to help (I hope) explain that data from many samples is averaged for each indicator, then (in most cases) log transformed and standardised relative to reference and worst case, then combined for each indicator group to give a score from 0 (bad = red) to 1 (good = green).