iVOD / 165646

Field Value
IVOD_ID 165646
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/165646
日期 2025-11-19
會議資料.會議代碼 聯席會議-11-4-20,15,19,23,26-1
會議資料.會議代碼:str 第11屆第4會期財政、內政、經濟、交通、社會福利及衛生環境委員會第1次聯席會議
會議資料.屆 11
會議資料.會期 4
會議資料.會次 1
會議資料.種類 聯席會議
會議資料.委員會代碼[0] 20
會議資料.委員會代碼[1] 15
會議資料.委員會代碼[2] 19
會議資料.委員會代碼[3] 23
會議資料.委員會代碼[4] 26
會議資料.委員會代碼:str[0] 財政委員會
會議資料.委員會代碼:str[1] 內政委員會
會議資料.委員會代碼:str[2] 經濟委員會
會議資料.委員會代碼:str[3] 交通委員會
會議資料.委員會代碼:str[4] 社會福利及衛生環境委員會
會議資料.標題 第11屆第4會期財政、內政、經濟、交通、社會福利及衛生環境委員會第1次聯席會議
影片種類 Clip
開始時間 2025-11-19T13:44:32+08:00
結束時間 2025-11-19T13:54:14+08:00
影片長度 00:09:42
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/9c5448532e3833d18f9492b18e53deea7119a7747a4c5c6c662daff7a264498acfd5e39c6a8a3cb35ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 林思銘
委員發言時間 13:44:32 - 13:54:14
會議時間 2025-11-19T09:00:00+08:00
會議名稱 立法院第11屆第4會期財政、內政、經濟、交通、社會福利及衛生環境委員會第1次聯席會議(事由:審查行政院函請審議「中央政府花蓮馬太鞍溪堰塞湖災後重建特別預算案」。 【預算提案截止時間:11月18日(二)下午3時】 【11月19日及20日二天一次會】)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 9.26159375
transcript.pyannote[0].end 12.68721875
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 13.09221875
transcript.pyannote[1].end 18.23909375
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 19.13346875
transcript.pyannote[2].end 20.53409375
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 31.11471875
transcript.pyannote[3].end 32.86971875
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 32.97096875
transcript.pyannote[4].end 33.03846875
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 33.40971875
transcript.pyannote[5].end 38.05034375
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 38.42159375
transcript.pyannote[6].end 39.72096875
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 40.12596875
transcript.pyannote[7].end 42.08346875
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 42.33659375
transcript.pyannote[8].end 44.31096875
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 44.93534375
transcript.pyannote[9].end 47.12909375
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 47.44971875
transcript.pyannote[10].end 50.13284375
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 50.48721875
transcript.pyannote[11].end 52.19159375
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 52.57971875
transcript.pyannote[12].end 54.95909375
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 55.49909375
transcript.pyannote[13].end 59.98784375
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 60.34221875
transcript.pyannote[14].end 63.70034375
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 64.03784375
transcript.pyannote[15].end 64.91534375
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 65.15159375
transcript.pyannote[16].end 68.45909375
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 68.77971875
transcript.pyannote[17].end 77.41971875
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 77.55471875
transcript.pyannote[18].end 88.40534375
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 89.51909375
transcript.pyannote[19].end 93.55221875
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 93.58596875
transcript.pyannote[20].end 96.04971875
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 96.62346875
transcript.pyannote[21].end 100.89284375
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 100.99409375
transcript.pyannote[22].end 102.20909375
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 102.71534375
transcript.pyannote[23].end 104.52096875
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 104.77409375
transcript.pyannote[24].end 107.11971875
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 107.37284375
transcript.pyannote[25].end 110.02221875
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 110.30909375
transcript.pyannote[26].end 112.53659375
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 112.92471875
transcript.pyannote[27].end 115.03409375
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 115.35471875
transcript.pyannote[28].end 118.86471875
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 119.40471875
transcript.pyannote[29].end 120.50159375
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 120.75471875
transcript.pyannote[30].end 120.77159375
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 120.77159375
transcript.pyannote[31].end 148.73346875
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 145.83096875
transcript.pyannote[32].end 146.15159375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 149.30721875
transcript.pyannote[33].end 157.60971875
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 156.37784375
transcript.pyannote[34].end 168.54471875
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 158.52096875
transcript.pyannote[35].end 159.07784375
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 167.75159375
transcript.pyannote[36].end 168.89909375
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 168.89909375
transcript.pyannote[37].end 178.63596875
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 168.93284375
transcript.pyannote[38].end 168.96659375
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 178.09596875
transcript.pyannote[39].end 181.90971875
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 182.55096875
transcript.pyannote[40].end 216.08159375
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 191.86596875
transcript.pyannote[41].end 192.27096875
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 214.79909375
transcript.pyannote[42].end 215.13659375
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 215.74409375
transcript.pyannote[43].end 220.80659375
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 220.87409375
transcript.pyannote[44].end 221.71784375
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 221.73471875
transcript.pyannote[45].end 221.76846875
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 221.76846875
transcript.pyannote[46].end 222.20721875
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 222.61221875
transcript.pyannote[47].end 223.47284375
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 223.91159375
transcript.pyannote[48].end 225.59909375
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 226.17284375
transcript.pyannote[49].end 228.48471875
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 227.91096875
transcript.pyannote[50].end 257.64471875
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 228.83909375
transcript.pyannote[51].end 229.34534375
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 234.39096875
transcript.pyannote[52].end 234.81284375
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 238.57596875
transcript.pyannote[53].end 238.93034375
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 239.77409375
transcript.pyannote[54].end 240.21284375
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 257.98221875
transcript.pyannote[55].end 263.43284375
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 263.85471875
transcript.pyannote[56].end 268.39409375
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 265.66034375
transcript.pyannote[57].end 266.84159375
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 267.83721875
transcript.pyannote[58].end 277.64159375
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 270.18284375
transcript.pyannote[59].end 272.14034375
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 273.55784375
transcript.pyannote[60].end 274.48596875
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 278.04659375
transcript.pyannote[61].end 279.05909375
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 279.05909375
transcript.pyannote[62].end 280.57784375
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 279.81846875
transcript.pyannote[63].end 281.40471875
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 280.98284375
transcript.pyannote[64].end 290.23034375
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 290.65221875
transcript.pyannote[65].end 300.28784375
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 298.97159375
transcript.pyannote[66].end 301.41846875
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 300.72659375
transcript.pyannote[67].end 302.11034375
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 302.11034375
transcript.pyannote[68].end 310.36221875
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 309.06284375
transcript.pyannote[69].end 309.60284375
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 310.58159375
transcript.pyannote[70].end 315.10409375
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 315.25596875
transcript.pyannote[71].end 318.02346875
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 318.54659375
transcript.pyannote[72].end 318.83346875
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 319.23846875
transcript.pyannote[73].end 320.92596875
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 321.07784375
transcript.pyannote[74].end 322.30971875
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 323.00159375
transcript.pyannote[75].end 337.34534375
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 336.80534375
transcript.pyannote[76].end 342.96471875
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 342.27284375
transcript.pyannote[77].end 346.82909375
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 344.36534375
transcript.pyannote[78].end 345.37784375
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 347.08221875
transcript.pyannote[79].end 361.15596875
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 350.98034375
transcript.pyannote[80].end 352.98846875
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 357.73034375
transcript.pyannote[81].end 358.25346875
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 361.15596875
transcript.pyannote[82].end 362.48909375
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 361.51034375
transcript.pyannote[83].end 363.67034375
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 362.84346875
transcript.pyannote[84].end 367.87221875
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 368.83409375
transcript.pyannote[85].end 381.50721875
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 380.84909375
transcript.pyannote[86].end 389.92784375
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 383.29596875
transcript.pyannote[87].end 383.56596875
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 389.92784375
transcript.pyannote[88].end 394.11284375
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 390.29909375
transcript.pyannote[89].end 397.42034375
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 394.75409375
transcript.pyannote[90].end 394.88909375
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 403.00596875
transcript.pyannote[91].end 411.27471875
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 411.64596875
transcript.pyannote[92].end 413.14784375
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 413.35034375
transcript.pyannote[93].end 420.25221875
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 420.57284375
transcript.pyannote[94].end 422.56409375
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 422.96909375
transcript.pyannote[95].end 431.54159375
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 431.72721875
transcript.pyannote[96].end 432.63846875
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 433.09409375
transcript.pyannote[97].end 438.46034375
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 438.74721875
transcript.pyannote[98].end 446.37471875
transcript.pyannote[99].speaker SPEAKER_02
transcript.pyannote[99].start 446.30721875
transcript.pyannote[99].end 446.74596875
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 447.35346875
transcript.pyannote[100].end 449.31096875
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 449.81721875
transcript.pyannote[101].end 454.15409375
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 454.71096875
transcript.pyannote[102].end 471.23159375
transcript.pyannote[103].speaker SPEAKER_02
transcript.pyannote[103].start 471.82221875
transcript.pyannote[103].end 474.26909375
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 474.94409375
transcript.pyannote[104].end 477.88034375
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 478.31909375
transcript.pyannote[105].end 479.24721875
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 478.33596875
transcript.pyannote[106].end 480.27659375
transcript.pyannote[107].speaker SPEAKER_02
transcript.pyannote[107].start 479.34846875
transcript.pyannote[107].end 485.08596875
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 480.52971875
transcript.pyannote[108].end 480.73221875
transcript.pyannote[109].speaker SPEAKER_02
transcript.pyannote[109].start 485.38971875
transcript.pyannote[109].end 490.53659375
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 488.51159375
transcript.pyannote[110].end 488.95034375
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 490.01346875
transcript.pyannote[111].end 491.58284375
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 491.98784375
transcript.pyannote[112].end 496.99971875
transcript.pyannote[113].speaker SPEAKER_02
transcript.pyannote[113].start 497.53971875
transcript.pyannote[113].end 497.80971875
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 497.80971875
transcript.pyannote[114].end 510.22971875
transcript.pyannote[115].speaker SPEAKER_02
transcript.pyannote[115].start 510.22971875
transcript.pyannote[115].end 511.25909375
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 511.03971875
transcript.pyannote[116].end 514.58346875
transcript.pyannote[117].speaker SPEAKER_02
transcript.pyannote[117].start 512.77784375
transcript.pyannote[117].end 513.90846875
transcript.pyannote[118].speaker SPEAKER_02
transcript.pyannote[118].start 514.31346875
transcript.pyannote[118].end 516.49034375
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 517.18221875
transcript.pyannote[119].end 519.73034375
transcript.pyannote[120].speaker SPEAKER_02
transcript.pyannote[120].start 517.33409375
transcript.pyannote[120].end 517.73909375
transcript.pyannote[121].speaker SPEAKER_02
transcript.pyannote[121].start 520.00034375
transcript.pyannote[121].end 533.68596875
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 529.72034375
transcript.pyannote[122].end 530.12534375
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 532.84221875
transcript.pyannote[123].end 537.12846875
transcript.pyannote[124].speaker SPEAKER_02
transcript.pyannote[124].start 537.61784375
transcript.pyannote[124].end 545.31284375
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 537.87096875
transcript.pyannote[125].end 539.86221875
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 545.44784375
transcript.pyannote[126].end 547.43909375
transcript.pyannote[127].speaker SPEAKER_02
transcript.pyannote[127].start 546.52784375
transcript.pyannote[127].end 552.45096875
transcript.pyannote[128].speaker SPEAKER_02
transcript.pyannote[128].start 552.75471875
transcript.pyannote[128].end 562.15409375
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 552.80534375
transcript.pyannote[129].end 554.62784375
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 558.62721875
transcript.pyannote[130].end 559.53846875
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 559.74096875
transcript.pyannote[131].end 560.98971875
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 561.31034375
transcript.pyannote[132].end 566.30534375
transcript.pyannote[133].speaker SPEAKER_02
transcript.pyannote[133].start 566.01846875
transcript.pyannote[133].end 569.15721875
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 568.17846875
transcript.pyannote[134].end 568.78596875
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 569.37659375
transcript.pyannote[135].end 573.51096875
transcript.pyannote[136].speaker SPEAKER_02
transcript.pyannote[136].start 573.51096875
transcript.pyannote[136].end 579.97409375
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 576.19409375
transcript.pyannote[137].end 580.15971875
transcript.pyannote[138].speaker SPEAKER_01
transcript.pyannote[138].start 580.80096875
transcript.pyannote[138].end 582.04971875
transcript.whisperx[0].start 9.361
transcript.whisperx[0].end 19.813
transcript.whisperx[0].text 下一位我們請林思明委員發言好 謝謝主席我請農業部陳俊基部長有請農業部陳部長
transcript.whisperx[1].start 31.841
transcript.whisperx[1].end 54.046
transcript.whisperx[1].text 是 部長好 部長我們今天審馬太安溪特別預算我想這次針對這次的災害重創花蓮光復香 許多家庭陷入困境在這樣重大的天然災害我想我們大家都是命運共同體沒有什麼限時之分 中央也必須展現責任
transcript.whisperx[2].start 55.586
transcript.whisperx[2].end 79.533
transcript.whisperx[2].text 所以本席也號召了新竹縣很多的民間的力量共同捐贈物資或者到現場去救災那麼我們災害的我們這一次的特別預算除了要讓光復鄉的鄉親重回正常的生活我想有一個非常重要之點就是如何利用這一次的特別預算的編列
transcript.whisperx[3].start 80.433
transcript.whisperx[3].end 87.906
transcript.whisperx[3].text 我們防止這樣的事件再次的發生也就是說我們不僅要治標我們更要治本
transcript.whisperx[4].start 89.571
transcript.whisperx[4].end 103.701
transcript.whisperx[4].text 那有關我們這次這個林保署編列馬太安溪煙色湖整治的相關工程有相關的工程還有農業復原還有復原重建統籌協調業務分別編列了14.3億9.2億還有250萬元合計總共23.5億我第一個問題要請問部長的煙色湖的整治是否可以做到治本
transcript.whisperx[5].start 119.431
transcript.whisperx[5].end 148.381
transcript.whisperx[5].text 而不是治標我想我們現階段我們大概因為現在目前的整個地質不適合比較大的機具上去做降蛙的這個動作所以在短期之內我們還是用監測的方式跟預警的方式來處理可是中長期的部分等到我們的訊息過了以後那如果說我們的相關的機具能夠上到壩頂的時候那我們會嘗試做一些降蛙但是我要跟委員報告就是因為他三
transcript.whisperx[6].start 150.062
transcript.whisperx[6].end 173.162
transcript.whisperx[6].text 馬太安溪是非常狹窄的谷如果旁邊的土砂在崩的時候就會形成新的顏色湖部長 剛剛相關委員的質詢你都講得很清楚了我本心也了解只是說我們這次編的14.3億是有關於馬太安溪顏色湖的整治工程你的內容 因為剛才你講那麼多現在可能沒有辦法 基礎沒有辦法進去
transcript.whisperx[7].start 174.143
transcript.whisperx[7].end 180.992
transcript.whisperx[7].text 但是你這14.3億它的內容大概包含什麼項目你可以講一下我想第一個部分就是我們會進行就是從
transcript.whisperx[8].start 182.845
transcript.whisperx[8].end 208.492
transcript.whisperx[8].text 變道開挖先做變道的進行然後變道進行讓車子能夠進去以後機具進去以後開始嘗試做降挖的這個動作讓這個菸塞爾湖的本體的部分能夠解除現在目前的一個危機然後第二個部分就是因為每次下大雨就有一些泥沙會下來所以我們會在上游的部分做一些藍沙壩讓這些沙做一些阻擋
transcript.whisperx[9].start 209.272
transcript.whisperx[9].end 224.701
transcript.whisperx[9].text 不會造成下游的那個河床越墊越高那這個部分我想都是在這個14.3億裡面要做的是 部長我想因為時間的關係所以你現在講14.3億就是你剛才大概講的這些項目對沒有其他的聽起來好像很簡單
transcript.whisperx[10].start 226.246
transcript.whisperx[10].end 245.818
transcript.whisperx[10].text 不過這個是一個非常困難的事情很困難嘛所以我想你這14.3億如何的讓這個就是房子很重要嘛我剛一直強調說你如何把這一次的經費用在刀口上讓這種事件不要再發生嘛所以假設這不是假設我們現在很明確的問你很嚴肅的問你如果這14.3億
transcript.whisperx[11].start 248.3
transcript.whisperx[11].end 274.434
transcript.whisperx[11].text 我們這個整治經費把它花下去之後是否可以保證說就一定可以有效的預防下一場大雨之後下一場如果再下一場又是這樣的大雨來臨我們絕對不會再有這樣的事件發生我想我們花了我想花了這錢沒有人能夠保證說以後不會再發生我剛才說的我至少能夠減災做適當的減災但是不能保證說以後不再發生
transcript.whisperx[12].start 278.089
transcript.whisperx[12].end 288.935
transcript.whisperx[12].text 不能保證喔因為旁邊的這些沙石隨時都有可能再次崩塌那我只能就現有的驗測壺我可以做到適當的減災的部分
transcript.whisperx[13].start 290.717
transcript.whisperx[13].end 316.447
transcript.whisperx[13].text 所以這個部長這就很嚴重啊你現在只能減災所以你沒辦法保證說這個是類似的事件我們這次的錢花下去會不再發生就這樣聽起來很恐怖耶對這些急降雨不確定因素太多了而且現況山壁就有非常多的土砂它隨時因為大雨地震部長如果說你說沒辦法保證我要問你那你的監測系統是不是要做得很好對我們現在就是在監測系統會去強化
transcript.whisperx[14].start 318.621
transcript.whisperx[14].end 344.06
transcript.whisperx[14].text 是 所以你在監測有時候你要如何做預警我想我們在整個的驗車壺的湖面本身就有放一些水位計跟監測計的部分然後我們也有攝影機的部分那如果還有跟氣象署聯絡如果急降雨的時候我們會隨時去評估所以你這14.3億還有沒有包含說未來要去增購一些比較精密的這個也包含在裡面都會去做嗎對 剛才講的監測的系統
transcript.whisperx[15].start 347.082
transcript.whisperx[15].end 367.578
transcript.whisperx[15].text 好 OK 其實部長我想這個你因為真的要很嚴肅的去面對這種事情如果說再一次發生我想真的是全國人民都不能接受的你一定要去力保說這種事情不會再發生了這一次編了那麼多的經費進去我要跟委員說明一下馬太安西的上游本身
transcript.whisperx[16].start 368.891
transcript.whisperx[16].end 395.139
transcript.whisperx[16].text 霸體 馬太安岩澀湖霸體本身貢獻的水量跟沒有馬太安溪大概五十五十啦所以那邊因為他是集水區的部分只要是下大雨的時候就很有可能造成所以所以嘛 希望大家現在還沒有下嘛所以大家一直希望說利用這一次的預算編列下去農業部要這個啊要上緊發條啊了解我們要跟上這種事情不要再發生了好不好不然請問最後這個主席給我一分鐘我請主席講
transcript.whisperx[17].start 403.055
transcript.whisperx[17].end 429.481
transcript.whisperx[17].text 主席長我看這次的預算法定上限就300億這次編列270億還保留30億作為備用我看到這個我們這個本條例還有特別預算的施行期間是公佈日施行至116年的3月31日子但這個但書講說馬太安溪艷澀湖整治後續處理等部分項目則辦理至119年底
transcript.whisperx[18].start 431.961
transcript.whisperx[18].end 451.966
transcript.whisperx[18].text 都要請教你 如果這30億就是後來沒有用 你剛也回答楊群文說這個如果要用 要再編列預算 要再去送交我們本院來做一個審議但是你現在就是說 你這邊講說 因為我們這個馬太安溪的整治是到119年底
transcript.whisperx[19].start 455.035
transcript.whisperx[19].end 477.48
transcript.whisperx[19].text 那個整個條例是在116年3月31日他就結束了嘛所以這30億是不是不管你以後如何編都只能指定他的項目就只能用在這個馬太安溪的艷澀湖的整治項目上不是 他就是整個那個花江沙颱風的一個整個一個
transcript.whisperx[20].start 479.233
transcript.whisperx[20].end 494.697
transcript.whisperx[20].text 你這邊這個條例裡面的他不是只有馬太安溪馬太安溪是對 這個是菸社我從前特別條例裡面因為你講說你這個後續整治的部分則辦理至119年底
transcript.whisperx[21].start 498.015
transcript.whisperx[21].end 519.478
transcript.whisperx[21].text 那你條例即便已經失效了但是你整個未來的三十億你還在嘛所以我剛才問你說三十億沒用完因為這個整治部分是要一直辦到一百一十九年底嘛所以這樣聽起來你三十億一定是要用在整治項目上面啊所以你看三十億到一一六年止一百一十九年你這邊寫一一九年底耶
transcript.whisperx[22].start 520.727
transcript.whisperx[22].end 530.519
transcript.whisperx[22].text 119是指那個已經有分配其他項目在做宴賽府的一個部分那個部分他可以做到119年那就是270億的裡面所以這30億不限於一定是要做馬太
transcript.whisperx[23].start 537.908
transcript.whisperx[23].end 552.244
transcript.whisperx[23].text 對 不限於不是 不是它是整個整個那個條例裡面規範的項目都可以是 都可以啦是 所以如果說但是在116年度條例生效就是
transcript.whisperx[24].start 552.925
transcript.whisperx[24].end 579.981
transcript.whisperx[24].text 戒指之後的話他就要另起爐灶就要譬如說要凍二倍金或者是再按準備金這樣子而不是用這個條例我看你的預備金有準備你這個270億裡面有編一個15億的預備金15億預備金有有編是所以這30億未來凍製到的可能性應該是很小了對因為他還要透過預算程序再還是要重新編列是吧是才可以好 以上了解好 以上謝謝好 謝謝林先生