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HomeMy WebLinkAboutNeuse TN TMDL II                    !""#    $ % $        & '   #(#)  *   !)(++,#(#) -+#+.)//,0"1/                                            !     "  #$$  "  # %$#  &  '(  )    * + $  ' * ,    )  , -     .  # %$# , -     .  #$$ , -     /  '( , -        0 +   $1    " $++  + *    2 3 //"  //. " &   (   . & # %$# (    . & # %$# //%//" (     & # %$# //%//" (   34 !0  & # %$# //.% (     & # %$# //.% (   34 !0 ) &" # %$#      ) && # %$#     ' **   & #$$ (     & #$$ //.% (     & #$$       & #$$     ' **   & '( (    " & '(      & & '(     ' **  ) & ! ++   #$$5 '( 6 # %$# (    ) )      / .    '   .   7   . # !7   .    + 3- 7   . (  '     . #  '    "  . 3- (   #  '   7   & / ' **  8   ,    ) /     ) / **   .  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Lower River 10 0 10 20 Miles N Use Support Areas and ModMon Stations   $  $  +  *  3  - 1  +    +3      $  #$$   *   5 *  -   *   *    2  * + 3 A   < -        **   3 * D    *      <      3  *    <      ? +* -2  -2@   -  -        * %    - E#,    +   '   ?'@    ,    +    ?#   <       @ >  +    -   =  5 //.    ! *- 5  !    -* 3   -   + F A  !        !7    -  !    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- - @   +* +      - -  ?#  #G@ # %$#   *  *  *   *  5        +     +    #$$     *  -%*  E     -%* 5  #$$  *2     3   *  *  <<    + 3 A      *  1      -%*   - +    #$$ (      '(    + 1 +    +*   *      +   ,&    +3    5  -  +     3  -  +   *    5  < +   1     3   -   +  * 5     +*  3  -    + '&   ,&  - 5   +3  5    -  +     + # %$# +* // %/// '3  -    +3    *  +     +   +    ?E#,%'     @ * %  *    5    ** +       !   3 < -   -   -*   -  ->  < 3    <  *  ?$@ +    *  * *  * A   ?'$@ +   *   *  <       +  < -     -<    1  -  *  +    *  < -     -< 5  *  * - 3 -      *  < -    1 F        73  +      *  + "     *3   + )  +    * 15    3       < -    -<    * A   ?'$@     <   +  *   5 3    ++  -3 *      -<   *  ?$@   ++  -3  -<          %- * 5    # %$#5  * *  -   ? ++  -3 -<    < @ 3   * +  ? *  J    *  +  K@ ,*   3     *  3     *          -     5  3  - 1      5   +*  +  3     <   3 *  -      -     -     + # %$#  +  *       ** < - / -  # %$#  -     +  1/94–12/99 Use Support Area Station Number of Observations Log (Chla) R^2 RMSE ME River 0 199 0.08 1.05 -0.08 10 200 0.12 1.05 0.00 20 201 0.21 1.07 0.17 Upper 30 202 0.52 0.93 -0.11 50 146 0.56 0.86 0.16 Middle 60 98 0.48 0.85 -0.13 70 201 0.33 0.84 0.05 Bend 100 66 0.18 0.88 -0.15 120 197 0.11 0.78 0.06 Lower 140 84 0.03 0.74 0.08 160 82 0.11 0.72 0.00 River Summary 600 0.13 1.06 0.03 Upper “ 349 0.53 0.91 0.00 Middle “ 299 0.38 0.84 0.00 Bend “ 263 0.14 0.81 0.00 Lower “ 166 0.07 0.73 0.04 Total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ection Station 1/98 - 12/00 # obs Log10(Chla ug/l) ME RMSE R2 River 0 192 -0.59 0.96 62.2% 10 162 -0.21 1.05 43.0% 20 193 0.19 1.31 33.0% Upper 30 195 -0.06 1.08 60.8% 50 195 -0.28 1.10 61.1% Middle 60 154 -0.22 1.18 48.2% 70 194 -0.17 1.22 41.1% Bend 100 154 -0.09 1.15 32.8% 120 193 -0.17 1.09 24.7% Lower 140 175 -0.08 1.15 6.9% 160 171 -0.21 0.98 17.5% River 548 -0.20 1.12 41.6% Upper 390 -0.17 1.09 61.0% Middle 348 -0.19 1.20 44.4% Bend 347 -0.13 1.12 28.8% Lower 346 -0.14 1.07 11.3% Total 1980 -0.17 1.12 58.2% + #  (  ,&  G  +3 5 -     '(  -  +     +  + //.  /// '3   +     +   +    * %  *     ?%&@5   #,'E  %    ?' @ 8     3  <    ** +         -  ->  < 3  J* I  *   -          #   <4$   *5    +  < -  5           -  *     > * + +  +   -  3 -  A   < ?- +  > * + *  +  -< @  A   < ?   *    *    + + @K ?$(   05 @  '(  -          * ? <    @ + '$  $5 3   #$$  # %$#   - +    F   *          *-  <   *      -  $( <   -         - 5     *  <   +  #$$  # %$# -  //. '(  -  +     +  Section Station 1/98 - 12/98 # obs Log(Chla) R^2 RMSE ME River 0 24 0.34 0.15 0.57 10 24 0.61 0.15 1.08 20 24 0.46 0.13 2.01 Upper 30 24 0.57 0.18 7.27 50 24 0.38 1.16 8.44 Middle 60 24 0.38 2.43 6.13 70 24 0.11 2.63 -0.97 Bend 100 24 0.42 3.34 9.76 120 24 0.24 2.47 6.10 Lower 140 20 0.26 2.27 10.55 160 18 0.07 2.49 9.05 Side Bullseye 23 0.34 0.51 -4.72 Flanner 18 0.37 3.15 -11.90 Kennel 20 0.24 1.47 -4.15 Cherry Point 21 0.23 1.97 -7.47 Beard 23 0.21 0.81 -11.17 Minnesott 23 0.41 0.20 -10.21  -  /// '(  -  +     +  Section Station 1/99 - 12/99 # obs Log(Chl a) R^2 RMSE ME River 0 25 0.88 0.01 -0.28 10 24 0.60 0.02 -0.70 20 24 0.30 0.02 -0.21 Upper 30 25 0.78 0.18 -0.43 50 25 0.75 0.28 0.47 Middle 60 24 0.63 2.17 -3.23 70 25 0.73 4.35 -2.68 Bend 100 24 0.57 2.66 -10.38 120 24 0.55 1.77 -5.17 Lower 140 23 0.05 2.24 -4.13 160 23 0.88 5.59 -8.48 Side Bullseye 31 0.01 2.33 -7.11 Flanner 26 0.33 1.61 -6.63 Kennel 26 0.00 0.18 -8.00 Cherry Point 31 0.01 0.75 -6.72 Beard 21 0.05 1.40 -12.66 Minnesott 31 0.01 0.57 -9.19 + + -*. E  *   -      ? 3     @5   *  3    <  -      +      3 *  -<         + 3  *        *  3   3   -  ;      ++   2                5 -    <  * < + *  < +    +  *  A  -      +*  ?*  * * + +3      8 3@ -+   -   + 5    A  ++ *  +    #$$  '( A  *  3* -   ?' 8   G @    +*      5   3  1        -    3  5  --     <     3           * # %$#   -      *  * * +*  + +3         8 3    *    +     +    3    1      * +A 5  3 <   -         2  ++     *  5     <   - " +  E5      +    - " 0 +   $1    ?   +  -3@ 2000 Verification Exercise Statistics Area # obs Log base e (Chla ug/l) Model R2 RMSE ME MAE Upper 72 NEEM 0.43 0.84 0.17 0.79 Neu-BERN 0.43 0.84 0.35 0.70 WASP 0.50 0.79 0.16 0.61 Middle 60 NEEM 0.16 0.67 0.00 0.64 Neu-BERN 0.13 0.69 0.28 0.49 WASP 0.08 0.70 0.14 0.49 Bend 60 NEEM 0.01 0.65 -0.11 0.65 Neu-BERN 0.05 0.66 0.25 0.49 WASP 0.01 0.66 0.23 0.54 All 355 NEEM 0.54 0.84 -0.01 0.78 Neu-BERN 0.58 0.58 0.28 0.67 WASP 0.57 0.81 0.20 0.57   -  <  3   *  +  ?  '$  $5 -   $@     3  -  -  1  * +  < -   -  <   I-   * A   ?'$@     <   +  *    ? ++  -3 -<     @  3 '$  -   ?$@   < ++  -3  -<       *    I   -5    < <     *       <5    < <      *  <    < C3  *        ?  4@ * - ++ +* 3     <  -   ?$@   -  <  +  ++  -3  -<      *      3  * -  5  -  3  5 $  '$     -  -    + *  *      ++  -3 $  '$   '$     *  *  +*  *    < +   1   *  <    *<  3   5    *    * -       3 # +  *  +* 3         #$$   *   3   I5 -    * -   # % $#  '( +*  -  $   *  +*  *  3  '$  $ "**!       +  < +   1   *   ++          +3  +* D ∑ ∑∑ = == −      −−− n i n i n i OOi OiPiOOi 1 2 2 11 2 )( )()( 3D GL L  -<  (L L     G M L * +  -<       - + N 5   *    -   * +  -<  + O 5   * +  -<   -   *  - & $ "**!   +* < +   1  All areas U –Upper WASP 0.497 M - Middle BERN 0.530 B - Bend NEEM 0.408 U,M,B only WASP 0.372 BERN 0.386 NEEM 0.142 M,B only WASP 0.330 BERN 0.432 NEEM 0.067  * + *   ++  5 # %$# +*  -5           -         3      3  - *  ?E5     @5 *  +*       *  *  -   * +  -<  " (      3  -              < +   1 5         *  *< 3 +*  -     3         G +      #$$  '( 3 +   -       < +   1     3 <       *<     < -   +  !7 ?  -     - % @ /  ***$"),0 11/ 112  //"%//.         +          #     +  *    //.%5   +   //" -   +*  +  !7 3 *   * 3   -3 //"  //. ! 2 E <    ,  '3  2  25 -      +     5    .) ! B     * 03"  -3 //"  //. ?G< *   9  +3  >          "5 =        + +3  >      8 3     + +*@ 83  >       +  * +     3             *  +*    C3<5     - <   B  *   5    3  2           -   *  - //. ?-   %+% 5   *  B % 25 @        < --    B     -    " "   +3  33  + +3  >     -   + %  ++   *  *  *  -3 //%//"    //.%       + "B   **5 -3 //"  //.    1 * B     +3  >    5 3         <    83  >       *<  ++  + * +3 +*   F    A      83  >       * - *        %* *  +3 +*     +     <   +3 '3  8        *  %* +3 3   -      *       E   *  %* +3 3 +  <5   - 5 *  + +3  >       83  >      <  *  2    ? **    3  ,  '3@  +3  > *     5      - * +  *   *  * +3  >        + //%//"  //.%   " *4  /" *45   <      B         -  -    * + 8 3 -3 //"  //. 8 *    +   5  ++  -3  * 112'      *  ? 5 -      P        8   -<@   * 11 ' 11/ 0    *   B  ++  -3  * 112' 0     *    * 11 ' 11/     *   .B ' * 5             "  5  /"B & +   <5 3        *   3   5   B  B     +3  >     -3 //"  //. ?, '35 @ 8    83  >        8 3 ?'3   25  +@ 8 3    >  -3  +   -3  #   <  , ,2 ?-3 9   #3   8   @    +       3     5  *      5   -*     9>    ?#C    #@ Fl o w - A d j u s t e d N ( m g / L ) 0.00 0.25 0.50 0.75 1.00 1.25 1.50 1.75 1979 1982 1985 1988 1991 1994 1997 2000 Fort Barnwell  5     - <   B  *   5    3  2           -   *  ?*   % 25 @        < *  2    B    +   +3  >          + //&  ///5           //. 3 *  +   *         +*    5 3  ++  <          -A          +3  33  + +3  >     -   + %  ++   *  *  *  -3 //%//"    //.%       + "B         *   *F  *  -<5   B ? @   B      -   "/ 3        5  *      5   -*     9>    ?#C    #@ ?'        -   *@  5 //.  /// 3       5        3  33  + +3  >        5  33       * - * * <  3     +           +     5 0 .)"*,04#4         -3 //"  //. ?//%//"  //.%@F    3  ) -   *    !7          5        +3  >     * -               * - * <  3     +    +   G<  *5 +  +3  >     *  5   3         ?, '35 @ ! 3          2    +3   *  3 ** ++  ++       8   " #    8 3 ?'3   25  +@ Ni t r o g e n L o a d ( m e t r i c t o n s ) 0 1000 2000 3000 4000 5000 6000 7000 1979 1982 1985 1988 1991 1994 1997 2000 Fort Barnwell 8   & ,*-  ( +  #  7 ?+  @  83% >  ,  ?   @ G    - 3     $    *   < *  *   3 Trends in Total Nitrogen Load and Flow-Adjusted Conc. 1000 2000 3000 4000 5000 6000 7000 19 7 9 19 8 1 19 8 3 19 8 5 19 8 7 19 8 9 19 9 1 19 9 3 19 9 5 19 9 7 19 9 9 Year TN L o a d (m e t r i c t o n s ) 0.4 0.6 0.8 1 1.2 1.4 1.6 Fl o w - A d j u s t e d N ( m g / L ) TN load FAN 1995 1998 .  3 +     3            * 2  *    *  ? * @  F         < -         +3    - 2     < -  5   B        3  2 %"   -     -       " %<  '         <    2  -  5   *   -     3 -     *       ?'3  5 @ 5  $  8 !7 *  5   *    +*   +  *   1    --  5   1  +A   + 1          +     # %$# *      ++ 3   #$$  '(F  ++  3  - 1    +3     5 # %$#  -  <     + //%//"       //.%5 + 3   *  <     8 5 # %$#    *   <       (   3  - <  + # %$#5 #$$  '( 8 # %$#5  3  - +   +   D //%//" 3   3   < <  * 5  //.% 3   3   < <  *   #$$  '( *   //.%  #$$  *        +  5 +   *   - 1         + + +  5  '&    *     3  -      *          + %5 <     -   4          +   + %* ?       %   *@ 3  ** < -         3    +  <      *  1 * ! 5 3   *   I *  ?! *-    3  -   *     +     4  *  5     3   * *   F   3  -   5 -         3  -   @    +    +      *   # %$#       +    ** < -    -     < <  *        <    1 * /B    3    + '  ? +  - *@ 3    +             ** < - 3  - <   3F     * 2    +  #$$  '(5 3        < +    -<  (    <  + 3 *    D 4/%4/"  4/.%4    <  +  -      ?*    3  -<  @  8 35  + <     +   -  +* -  ?     @      <     + 3  <   //%//"  //.% 0 %6, 3  3       5      <  73       3 *  * * ?< 3 1    --   5  -3@  <    5         +    E5         ? 8   @ /  +    +       +             <     5  1  1    --   ?1     P      +  --      *@5  /B +   < +  1    --  5   +   + *   $  +  3  - 1  +  -3 (    3  - &%.  8   "% < , D   <     * *       +   +  *     $1    (--  D  <   *  5  *   +     *     J    *  +  K  * 1    -  -      5  <   -  ++  -3  -<    *     ?*  @     +*325   1  <     *  <    *  -   ?    5 +   +* @   3 5  *   +    * +   -  5 -  3 * 1      <       ?-<  -3@    * +            1    --   +  % 4     ' 8   )   +3   +     + 1    --    * - +    2 +  1%1      * +   ?*  @   2  +   *  -   ? <@  1    --      -3   *  -   ? <@  -<  % 4   ?   I  @  1    --      +       < *    F      <    %      1    --   +   *      < 1    --   <    * 3   4    5  < 1    --     -   -3 B 8 5 3    *   *  - * -+   * +     1    --    -    A   <       *   *   5  *  -  ?+   +* @ *    # %$#:  -  +     * - +   *  /B ,+   < ?+ $1    (--  @D          +        ++  +    < -       * *  *-    3  +   -<        *  - <      +   -   *  /B +   <   *  /B ?"B *< +*    @ +  1    --      +*  *  A  *  *-      <  + 1    --    <   - * -    J1  1    --  K       * +   ++ 5    *  <  +    <  -   ,+   + ,*  D       -             /B +   <  1*     +    <  -     -3 B5 3      B  +  4     '      <  -     *  -   ** 5  +   + *       < +*  /B +   <  G        <           *< 3 +* *  -     8 1*5         //%//" 3      -    /B +   <          ? - )@   *      <5 - 5  5     -   3 < *     3 *< 3 +*  -  ?-    // %///@            ++  <    +   + *   8   ) 5  '&  11 ' 11/(70%%))!-, 8         J      K ,      * - +      3    1         * < < //%//"      -  +   +  #  !7 +     A          * <* +  #    ? **      @ - )5  8   )  . -3 3 # %$#:    + //%//"  -     +* log(chl a) RMSEModel Prediction Exceedance Probability likelihood 40 ug/L Standard  #   *     + 1    --    /B +   <        3  *-  +   + *          B      +   1     +  *     - ) # %$# *     + //%//" 0%  ** < -      -   *   -       -<      8 3 P   %""B         +*  -  1/91 - 12/95 Upper Estuary (Stations 30-50) TN Reduction Avg. Chl a (ug/L) Exceedances (%) 90% C.I. Conf. Compl. (%) Baseline (0%) 17.9 11 7 - 14 30 -30% 15.7 9 7 - 12 80 -35% 15.6 9 6 - 11 80 -40% 15.0 8 6 - 11 80 -45% 15.0 8 5 - 11 80 -50% 14.9 8 5 - 11 80 -55% 14.4 8 5 - 11 90 Middle Estuary (Stations 60-90) TN Reduction Avg. Chl a (ug/L) Exceedances (%) 90% C.I. Conf. Compl. (%) Baseline (0%) 22.5 14 10 - 18 5 -30% 20.2 12 9 - 15 20 -35% 19.5 11 8 - 14 30 -40% 18.9 11 7 - 14 40 -45% 18.9 10 7 - 14 50 -50% 18.6 10 6 - 16 50 -55% 18.4 10 6 - 16 60 Bend of Estuary (Stations 100-120) TN Reduction Avg. Chl a (ug/L) Exceedances (%) 90% C.I. Conf. Compl. (%) Baseline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eu-BERN Exceedance Probabilities 0 5 10 15 20 0% 30% 35% 40% 45% 50% 55% Reduction amount Fr e q u e n c y o f p r e d i c t i o n s ab o v e c h l s t d ( % ) Upper Middle Bend  8   / 5  '&  11 ' 11/(0%%))!-,      +  ** < - 1      < -  5 -         * -   < J < <K ?*   < + 3 A  @   *    ++   +  +3  D ?@      < <  *   # %$#    *       +  -2 3 -3               <    5          //5 3     *   <   A           <          -     *  *          5   *      I   <         ?      @ ?@   <   +  !75  *   1  *  + + *  -     ++     *  *  + +      < < *   * 5 3   1  *  + +    -       +   + *          +  ** < -     5   * -     !7     *  *  + +  1  *  + + *           ?@ #   #$$  '(      < +    -<  5 3      ++  +  ** < - ,A 5 # %$#:   3    ** < -  * *-     +*  #$$  '(   +   5  * * -  <    +* # %$# 3   3    ** < - 5  +   +   * -    1991-1995 Neu-BERN Confidence of Compliance 0 20 40 60 80 100 0% 30% 35% 40% 45% 50% 55% Reduction amount Pr o b a b i l i t y ( % ) Upper Middle Bend  - . # %$# *     + //%//" 0%  ** < -      -   *   -       -<      8 3 P"5 %  P "B         +*  -  1/91 - 12/95 Upper Estuary (Stations 30-50) TN Reduction Avg. Chl a (ug/L) Exceedances (%) 90% C.I. Conf. Compl. (%) Baseline (0%) 14.5 8 6 - 10 90 -15% 13.9 7 6 - 9 99 -30% 13.4 7 5 - 9 99 -45% 13.0 7 4 - 9 99 Middle Estuary (Stations 60-90) TN Reduction Avg. Chl a (ug/L) Exceedances (%) 90% C.I. Conf. Compl. (%) Baseline (0%) 17.7 9 6 - 12 70 -15% 16.9 8 7 - 11 90 -30% 16.2 8 6 - 10 90 -45% 15.6 7 4 - 10 90 Bend of Estuary (Stations 100-120) TN Reduction Avg. Chl a (ug/L) Exceedances (%) 90% C.I. Conf. Compl. (%) Baseline (0%) 21.5 13 9 - 16 10 -15% 18.9 10 8 - 12 50 -30% 16.7 8 6 - 10 90 -45% 14.9 6 4 - 9 99 5 # '&  112'(70%%))!-, 8  //.%   5      '3   2  5     3 3 * -    ++  +        ? '   "@    *  5   3      ++  +             < - /    # %$#:    + //.% " - / # %$# *     + //.% 0%  ** < -      -   *       //.% -<      8 3 %"B   %B         +*  -  1/98 - 12/00 Upper Estuary (Stations 30-50) TN Reduction Avg. Chl a (ug/L) Exceedances (%) 90% C.I. Conf. Compl. (%) Baseline (0%) 13.6 7 5 - 9 99 -5% 13.4 7 5 - 9 99 -10% 13.2 7 5 - 9 99 -15% 13 7 5 - 9 99 -20% 12.6 6 4 - 8 99 -25% 12.7 6 4 - 9 99 -30% 12.4 6 4 - 9 99 Middle Estuary (Stations 60-90) TN Reduction Avg. Chl a (ug/L) Exceedances (%) 90% C.I. Conf. Compl. (%) Baseline (0%) 19.2 11 8 - 14 20 -5% 18.7 11 8 - 13 40 -10% 18.5 11 8 - 14 40 -15% 18.6 11 8 - 14 40 -20% 18.3 10 7 - 14 50 -25% 18.1 10 7 - 14 50 -30% 17.9 10 6 - 15 50 Bend of Estuary (St. 100-120) TN Reduction Avg. Chl a (ug/L) Exceedances (%) 90% C.I. Conf. Compl. (%) Baseline (0%) 20.6 12 9 - 15 10 -5% 19.7 11 8 - 14 30 -10% 19.1 10 7 - 15 50 -15% 19 10 7 - 15 50 -20% 17.8 9 6 - 13 70 -25% 17.7 9 6 - 13 70 -30% 17.1 8 5 - 13 80          + //.%5 3  >             *    -3 //"%//.  +   //" -   +*  +   +  !7 ? '   "@  5 3 *  +            <     //"%//.     //" -   5   2  //.%      +*  *    %)90% 112' 11/' 112%"* %!*)%%$ 11/,   & 8      -3 3 # %$#:    + //.%    +*  5         <  3  <     //.% 3  3      8    ?/B +   <    @ 8    1998-2000 Neu-BERN Exceedance Probabilities 0 4 8 12 16 0% 5% 10% 15% 20% 25% 30% Reduction Amount Fr e q u e n c y o f p r e d i c t i o n s ab o v e c h l s t d ( % ) Upper Middle Bend 1998-2000 Neu-BERN Confidence of Compliance 0 20 40 60 80 100 0% 5% 10% 15% 20% 25% 30% Reduction amount Pr o b a b i l i t y ( % ) Upper Middle Bend ) 5 + '&  112'(0%%))!-,      '   & ? @5   +* # %$#  <  3   3    ** < - -  # %$# *     + //.% 0%  ** < -      -   *       //.% -<      8 3 %"B5 %B  P "B         +*  -  1/98 - 12/99 Upper Estuary Stations 30-50 TN Reduction Avg. Chl a (ug/L) Exceedances (%) 90% C.I. Conf. Compl. (%) Baseline 11.9 5.9 4 - 8 99 -15% 11.5 5.6 4 - 8 99 -30% 11.1 5.3 3 - 8 99 -45% 10.8 5.0 3 - 8 99 Middle Estuary Stations 60-90 TN Reduction Avg. Chl a (ug/L) Exceedances (%) 90% C.I. Conf. Compl. (%) Baseline 15 7.3 5 - 9 99 -15% 14.6 6.9 5 - 9 99 -30% 14.3 6.6 4 - 10 95 -45% 13.9 6.3 3 - 11 90 Bend of Estuary Stations 100-120 TN Reduction Avg. Chl a (ug/L) Exceedances (%) 90% C.I. Conf. Compl. 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imulation Period = 1/98 - 12/00 Upper Estuary (Segments 20-25) Reduction Year 0 Sediments Year 15 Sediments Avg. Chl a (ug/L) Exceedances (%) Avg. Chl a (ug/L) Exceedances (%) 0% 13.10 10.3% 13.10 10.3% -5% 12.71 9.4% 12.75 9.6% -10% 12.31 8.5% 12.38 8.7% -15% 11.88 7.4% 11.99 7.6% -20% 11.43 6.6% 11.58 6.7% -25% 10.97 5.6% 11.14 5.8% -30% 10.48 4.7% 10.68 4.9% Middle Estuary (Segments 33-38) Reduction Year 0 Sediments Year 15 Sediments Avg. Chl a (ug/L) Exceedances (%) Avg. Chl a (ug/L) Exceedances (%) 0% 20.08 11.4% 20.11 11.8% -5% 19.59 9.4% 19.67 9.9% -10% 19.09 7.7% 19.21 8.1% -15% 18.56 6.3% 18.72 6.6% -20% 18.01 5.1% 18.22 5.4% -25% 17.44 4.0% 17.68 4.2% -30% 16.84 3.1% 17.12 3.3% Bend of Estuary(Segments 41-47) Reduction Year 0 Sediments Year 15 Sediments Avg. Chl a (ug/L) Exceedances (%) Avg. Chl a (ug/L) Exceedances (%) 0% 21.86 9.8% 21.90 10.0% -5% 21.43 8.8% 21.50 8.9% -10% 20.98 7.6% 21.09 7.8% -15% 20.51 6.1% 20.66 6.2% -20% 20.01 5.1% 20.20 5.3% -25% 19.50 4.4% 19.71 4.5% -30% 18.96 3.7% 19.20 3.8%  8      -3 3  #$$:    + //.%    +*  5         <  3  <     //.% 3  3      8    8    5   $&" 7  -3      !   *          -  #$$    1998-2000 NEEM Exceedance Probabilities Year 0 Sediments 0 2 4 6 8 10 12 0% 5% 10% 15% 20% 25% 30% Reduction amount Fr e q u e n c y o f pr e d i c t i o n s a b o v e t h e ch l s t d ( % ) Upper Middle Bend 1998-2000 NEEM Exceedance Probabilities Year 15 Sediments 0 2 4 6 8 10 12 0% 5% 10% 15% 20% 25% 30% Reduction amount Fr e q u e n c y o f pr e d i c t i o n s a b o v e t h e ch l s t d ( % ) Upper Middle Bend  •  1    --     - A      B  $(    *)   #$$              1    --   -< B   -   5  -    ?    @ 3  H   *5   1    --   +  B ,   H "  *   5  -  1    --    .B  #$$   5    *5  *   3   *<  <  + 5  <          *    #$$        +     +     ? 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P 4@5  B       3  -   -  #$$  '( 3   B       &B      #  *    5    +       +*   * 5  <  5    +  <*5       *   +      +3    5 -  - +  > *  < -   ++   +  '( *            +* # ,  ' E <    3  < -   *  <* +  #$$  # %$# $( 1*  1    --        -         - <   -  *    *   *     <  +  5 *   -         <         $(: *     < -     A  E     3  +* 3  '(5     +   <   +   + *   *   < - & -  '( *     + //.%      -   *     //.% -<      8 3 P"B   PB         +*  -  Simulation Period = 1/98 - 12/00 Upper Estuary Reduction Avg. Chl a (ug/L) Exceedances (%) Baseline 13.53 2.42 -5% 13.19 2.17 -10% 12.87 1.42 -15% 12.50 0.99 -20% 12.11 0.63 Middle Estuary Reduction Avg. Chl a (ug/L) Exceedances (%) Baseline 14.15 0.14 -5% 13.76 0.07 -10% 13.47 0.04 -15% 13.09 0.03 -20% 12.68 0.00 Upper Estuary Reduction Avg. 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Barnwell) 13.3 23.4 8*   *-  3  *    . *    3  - -   *  -      +  *>     5   -+  + 2   *   *    <    3   *      *  *   <        <  ? 5 @       +   +  !7 3  *  -  5 3  3 -     <  '  3 +* <      + - !       E#,%, C      +   +     #  -     +       #      3     <  +*  *      1     ,2  ?H  5 //5  9  5 //.@    +    3      2 ++  + #   -    +  #  * *  3   5 +  * 5   - 3       +   ?' -    1 @ -   #3 9      *  Neuse Tributaries Kw = 0.40 Kc = 0.10 Neuse Mainstem Kw = 0.03 Kc = 0.01 Contentnea Cr. 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(* ?#,$,5 //)@ - "    1 ++  - " $1 ++    #      ?  -4 %@ Land Use Export Coefficient Urban 8.06 Cultivated 13.56 Mgd. 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( ( ( ( ' ' ( ' ' ,- ,2 ?-3  +3@ %.% %.% &%&% %/% %/% "%.% "%.% "%.% "" )     /" /" /"     . )  & && /&  #!  &" ( ( ( ' ' ( ' ' '* +  %/% %/% "%.% "%.% "%.%      "/ &) "" . )/ /   ' ' ( ' ' "" #  '3* "%% "%% %/% %/% "%.% "%.% "%.% ) )   ." ." ." && && & & ) /& & "/ .& /& & / ( ( ' ' ( ' ' 8 3 %/% %/% "%.% "%.% "%.%      .& & . /     ' ' ( ' ' T ( L       A F ' L **-  *  * #! L -3     *     *   A% * 3*  )R&  - P    2  *  + ,- , "& . REPORT FROM THE NEUSE TMDL STAKEHOLDERS’ GROUP TO THE NORTH CAROLINA DIVISION OF WATER QUALITY – JUNE 2001 This interim report presents the stakeholder group’s conceptual framework and guiding principles for allocating the total maximum daily load (TMDL) of nitrogen that may be required in the Neuse River basin. It includes a tentative allocation strategy, along with some principles for implementation and some comments on the TMDL process. The allocation strategy has been developed under the assumption that any future TMDL will be applicable to both point and non-point sources. The framework presented here represents a general consensus of the group; however, this does not imply that every stakeholder agrees with every statement. Furthermore, this consensus should be considered tentative, pending stakeholders’ review of additional watershed and estuary modeling results that were not available for consideration prior to preparation of this report. There are two reasons for the interim nature of this document, one short-term and one longer-term: (1) The stakeholders’ group has not yet seen the results of watershed loading models, such as SPARROW, on which numerical estimates of loads from various sources are to be based. Also, the stakeholders’ group has not had a chance to review all of the estuary response models (especially WASP/EFDC) and their roles in developing the TMDL. This information, plus documentation, should be available within the next several months, and the stakeholders wish to review these materials as they become available and perhaps modify the framework presented here in light of these new results. (2) Even with these additional modeling results, there will be considerable uncertainty regarding the reductions in nitrogen necessary to improve water quality in the Neuse estuary. The stakeholders urge the regulatory agencies to use an adaptive approach to reducing nitrogen, as described under Principles for Implementation, part II.7, and to continue the modeling and monitoring necessary to support such an approach. I. Interim framework for allocating responsibility for meeting TMDL among sources and among geographic regions: A. Calculation of N loading for purposes of determining the 1995 baseline load, the TMDL and required reductions in N will be based on load delivered to the estuary, as estimated by N delivery models, such as SPARROW, that account for transformation and transport of N as it moves down the watershed. B. Sources will be divided into two categories: (1) those from which little or no reduction is expected, and (2) remaining sources, among which reductions will be allocated to meet the TMDL. 1. Sources where little or no reduction is expected: a. Forests ") b. Wetlands 2. Sources for reduction allocation (in no particular order of priority): a. Point b. Nonpoint i. Atmospheric ii. Terrestrial • Onsite wastewater • Stormwater • Urban • Rural • Fertilized land • Urban – golf courses, lawns • Rural – crops, pasture • Animals/livestock C. The reductions necessary to achieve the TMDL will be allocated among the sources listed under 2 above in proportion to their contributions to the 1995 baseline loading to the estuary (which will account for differential rates of transport of N from sources in different parts of the watershed). D. Since this plan does not allocate any part of the TMDL for future growth or changes in land use in the basin, any future activities that result in a net increase in N must be offset by a corresponding reduction in N loading from existing sources. II. Principles for implementation (not in any order of priority) A. Full participation The stakeholders’ group has designated some sources as those from which little or no reduction is expected and recognizes that there will be many other sources that will have no specific numeral reduction targets upon implementation. Nevertheless, the group wants to stress the importance of widespread participation in N reduction efforts from all sources in all parts of the watershed. Both existing and newly developed programs to provide incentives, technical assistance, and monitoring to secure reductions from sources with no mandated reductions are essential. For example, although forestland does not have a required reduction target, forest management should conform to applicable BMP’s and Forest Practices Guidelines. In addition, new guidelines and additional monitoring to verify compliance with ". forest BMP’s are needed. In a similar vein, sufficient funds from state and federal sources to monitor compliance with BMPs and practice guidelines for other land uses, such as roads and construction sites, are required. Incentive systems, technical assistance and monitoring will help improve performance of onsite wastewater systems in both urban and rural areas. Public education to alert citizens in all parts of the watershed to their contributions to nitrogen loading as they manage their homes, lawns, pets, and vehicles will encourage widespread participation. B. Equity Equitable treatment of different sources and of different regions of the watershed is a principle the stakeholders’ group has tried to follow throughout this allocation draft. Implementation strategies should consider the same principle because some strategies that are desirable from the standpoint of cost-effectiveness could compromise equity. For example, cost- effective N reduction using nutrient trading could change the distribution of land uses in the lower watershed toward those taxed at lower rates, with financial consequences for municipalities and counties there. C. Cost effectiveness The costs of achieving a given level of reduction in N loading at the estuary vary enormously among different regions of the watershed and among different types of sources. We believe that implementation programs that achieve a given level of N reduction at the least cost are the way to do the most for water quality improvement with the fewest unwanted side effects. A flexible nutrient trading scheme, allowing trades among unlike sources and among different regions of the watershed, will be essential to making N reductions cost-effectively. The configuration of sources in the Neuse, with large point sources upstream and large nonpoint sources downstream, is unusual among coastal watersheds, and trading schemes that have been proposed for watersheds such as the Long Island Sound may not work appropriately here. Exchange ratios should include factors such as transformation and transport of N downstream, uncertainty about levels of reduction achieved by nonpoint sources, and, possibly, different levels of biological effect from different N species. Even where nutrient trading is not the mechanism for achieving cost-effectiveness, implementation programs should pursue reductions first from those sources where the greatest improvements can be had with the least overall cost (including those that may be difficult to express in monetary terms). D. Fiscal rationality Meeting the TMDL may require new expenditures from both public and private entities. All parties must begin right away to plan how to meet these new financial demands. It is unreasonable to expect water quality to change without new inputs of both public and private funds. "/ E. Avoidance of unintended negative consequences N reduction schemes could have unintended negative consequences. For example, nutrient trades in which upstream point sources accomplish part of their N reduction by removing downstream agricultural land from production (perhaps in a conservation reserve program) could change the economic and the cultural character of downstream communities. Regulatory strategies that apply only to some jurisdictions within the watershed could shift development into unregulated areas, perhaps offsetting expected nitrogen reductions. Those designing implementation strategies should make every effort to foresee such consequences, and, where they occur unexpectedly, make provisions to mitigate unintended negative effects. F. Stability/predictability Many stakeholders are being required to meet a constantly changing array of regulations, and they value a more predictable operating environment. The stakeholders’ group recognizes that this desire for stability of regulatory expectations may conflict with otherwise advantageous adaptive approaches to water quality management. Considering that current regulatory decisions are being made under a great deal of uncertainty about the effects of N reduction on water quality, the ability to monitor effects as reductions are implemented, and then make changes if the results are not what was expected, would be helpful. Stakeholders recognize that such an adaptive approach would be welcome if it allows more targeted, and thus more cost- effective, reductions; however, they fear being subject to new, frequently changing, and unexpected regulatory requirements or unintended negative consequences. G. Monitoring and adaptability of regulatory approach The stakeholders’ group recognizes that more effort has gone into water quality monitoring and modeling in support of the Neuse TMDL process than for most other such regulatory efforts. The group also recognizes the need to take action based on the best synthesis that can be made from the predictive tools and data available currently. Nevertheless, the group is concerned that, even after the results from the watershed and estuary modeling and data analysis that will be completed over the next several months have been incorporated in the TMDL, substantial uncertainty will still remain. Limitations in current scientific understanding of nutrient dynamics in the Neuse could lead to regulations that are either more stringent than needed to meet desired water quality standards (at greater cost to private and public entities than is warranted) or too lax to accomplish the desired improvements. A few examples of the specific concerns about the scientific basis for TMDL decisions are: lack of water quality and flow monitoring stations well-distributed throughout the basin, particularly deficiencies in coastal plain data; inconsistencies in methods for water quality sampling and analysis; emphasis on total nitrogen, rather than on forms with differing biological activity; use of different time periods for calibration and validation & of the various models that are being developed, especially in relation to the time periods used for regulatory decisions; and model simplifications, such as limited representation of sediment processes. As a consequence of these limitations, there may be extra uncertainty and error in the model predictions that are being used to set the TMDL and determine an allocation strategy. The stakeholders urge regulatory decision makers to recognize the uncertainty surrounding their recommendations by taking an adaptive approach to modifying those regulations in the future. The regulatory framework should be flexible enough to respond with new recommendations for water quality management, as new data and models suggest. Stakeholders want to be sure that a monitoring design is put in place that will supply data needed to assess the effectiveness of actions already taken and to improve the models that will be used to make future regulatory decisions. A number of stakeholders have been involved with the technical aspects of water quality modeling and monitoring and have specific suggestions that should be heard before a more comprehensive water quality monitoring scheme is put in place. Stakeholders wish to continue to be involved in reviewing monitoring data and modeling efforts based on those data. III. Reservations about use of the chlorophyll a standard for regulatory decisions Some stakeholders were concerned about the way the chlorophyll a standard is being used in the TMDL process. Stakeholders are asking: Is chlorophyll a the right measure to use for setting water quality regulations? If so, is the current standard (fewer than 10% exceedances of 40 ug/l) set at the right level? Is it appropriate to base standards for an estuary on observations taken in inland lakes? Is it clear how to implement the standard, in terms of where and when chlorophyll a is to be measured; is the implementation consistent with how the standard was developed? Has variability in time and space, and particularly between seasons, been accounted for properly in the standard? Are the right field and laboratory procedures for assessing chlorophyll a levels being followed? 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