sql 如何把hzpcl_by /* 灰渣偏差率*/ 求和

Question

select decode(grouping(gtpfw_dwid), 1,999999999999, gtpfw_dwid) gtpfw_dwid_a /*单位ID*/,decode(grouping(ORGANIZATION_NAME), 1, '合计', ORGANIZATION_NAME) ORGANIZATION_NAME/*单位名称*/,                                     
                        /**-------------------灰渣偏差率（%）--------------------------------**/
                     round(decode(sum(nvl(GTPFW_YJHSL, 0) /*Ⅰ级灰数量（吨）*/
                                         +nvl(GTPFW_EJHSL, 0) /*Ⅱ级灰数量（吨）*/
                                         +nvl(GTPFW_SJHSL, 0) /*Ⅲ级灰数量（吨）*/
                                         +nvl(GTPFW_XHSL, 0) /*细灰数量（吨）*/
                                         +nvl(GTPFW_MXHSL, 0) /*磨细灰数量（吨）*/
                                         +nvl(GTPFW_FXXHSL, 0) /*分选细灰数量（吨）*/
                                         +nvl(GTPFW_YHSL, 0) /*原灰数量（吨）*/
                                         +nvl(GTPFW_CHSL, 0) /*粗灰数量（吨）*/
                                         +nvl(GTPFW_SHSL, 0) /*湿灰数量（吨）*/
                                         +nvl(GTPFW_CZLFMHSL, 0) /*处置量-粉煤灰数量（吨）*/
                                         +nvl(GTPFW_LZSL, 0) /*炉渣数量（吨）*/
                                         +nvl(GTPFW_CZLLZSL, 0) /*处置量-炉渣数量（吨）*/
                                         +nvl(GTPFW_SGSL, 0) /*石膏数量（吨）*/
                                         +nvl(GTPFW_SZMSL, 0) /*石子煤数量（吨）*/
                                         +nvl(GTPFW_CZLSGSL, 0) /*处置量-石膏数量（吨）*/),
                                     0,
                                     0,
                                     decode(hzhj /*灰渣量=灰分*燃煤量*/,
                                            0,
                                            0,
                                            ((sum(nvl(GTPFW_YJHSL, 0) /*Ⅰ级灰数量（吨）*/
                                                  +nvl(GTPFW_EJHSL, 0) /*Ⅱ级灰数量（吨）*/
                                                  +nvl(GTPFW_SJHSL, 0) /*Ⅲ级灰数量（吨）*/
                                                  +nvl(GTPFW_XHSL, 0) /*细灰数量（吨）*/
                                                  +nvl(GTPFW_MXHSL, 0) /*磨细灰数量（吨）*/
                                                  +nvl(GTPFW_FXXHSL, 0) /*分选细灰数量（吨）*/
                                                  +nvl(GTPFW_YHSL, 0) /*原灰数量（吨）*/
                                                  +nvl(GTPFW_CHSL, 0) /*粗灰数量（吨）*/
                                                  +nvl(GTPFW_SHSL, 0) /*湿灰数量（吨）*/
                                                  +nvl(GTPFW_CZLFMHSL, 0) /*处置量-粉煤灰数量（吨）*/
                                                  +nvl(GTPFW_LZSL, 0) /*炉渣数量（吨）*/
                                                  +nvl(GTPFW_CZLLZSL, 0) /*处置量-炉渣数量（吨）*/) -
                                           hzhj /*灰渣量=灰分*燃量*/ ) /
                                            hzhj /*灰渣量=灰分*燃煤量*/) * 100)),
                              2)  hzpcl_by /* 灰渣偏差率*/
    
                   from tz_sjtb_gtpfw,
                        (select scrb_dwid, sum(t.scrb_rml/*燃煤量*/*t.scrb_hf /*灰分*/*0.01) hzhj
                           from tz_scrb_info t
                          where to_char(t.scrb_rq, 'yyyy-mm-dd') >= '2013-01-26'
                            and to_char(t.scrb_rq, 'yyyy-mm-dd') <= '2013-02-25' group by scrb_dwid) /*生产表*/,
                        PT_ORGANIZATION /*单位表*/,
                        TZ_KH_INFO /*客户基本信息表*/ 
                  where GTPFW_DWID = SCRB_DWID(+)
                    and ORGANIZATION_ID = GTPFW_DWID
                    and KH_ID = GTPFW_KHMC 
                    and to_char(GTPFW_TBRQ, 'yyyy-mm-dd') >= '2013-01-26'
                    and to_char(GTPFW_TBRQ, 'yyyy-mm-dd') <=  '2013-02-25'
                  group by rollup((gtpfw_dwid,ORGANIZATION_NAME,hzhj
                  ))
                  order by gtpfw_dwid asc
目前结果是这样的（此结果无合计值）：
2                             陡河                             -19.03
 3                             潮州                             -3.98
 4                             大坝                             1.74
 5                             丰润                             0.44
 999999999999          合计                             
想要的结果是：
2                             陡河                             -19.03
 3                             潮州                             -3.98
 4                             大坝                             1.74
 5                             丰润                             0.44
 999999999999          合计                             -20.83