IVOD_ID |
159819 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/159819 |
日期 |
2025-03-31 |
會議資料.會議代碼 |
委員會-11-3-19-6 |
會議資料.會議代碼:str |
第11屆第3會期經濟委員會第6次全體委員會議 |
會議資料.屆 |
11 |
會議資料.會期 |
3 |
會議資料.會次 |
6 |
會議資料.種類 |
委員會 |
會議資料.委員會代碼[0] |
19 |
會議資料.委員會代碼:str[0] |
經濟委員會 |
會議資料.標題 |
第11屆第3會期經濟委員會第6次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2025-03-31T11:20:09+08:00 |
結束時間 |
2025-03-31T11:32:40+08:00 |
影片長度 |
00:12:31 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/22902bedf9a457e512119e6ada5d66e0ab992d8b3314b746c75f6b5b4b5fbf8c9258d6461fda9c085ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
邱志偉 |
委員發言時間 |
11:20:09 - 11:32:40 |
會議時間 |
2025-03-31T09:00:00+08:00 |
會議名稱 |
立法院第11屆第3會期經濟委員會第6次全體委員會議(事由:邀請經濟部部長、農業部部長、內政部首長及國家科學及技術委員會首長就「2025年防洪抗旱計畫」進行報告,並備質詢。) |
transcript.pyannote[0].speaker |
SPEAKER_02 |
transcript.pyannote[0].start |
11.96159375 |
transcript.pyannote[0].end |
12.40034375 |
transcript.pyannote[1].speaker |
SPEAKER_02 |
transcript.pyannote[1].start |
12.87284375 |
transcript.pyannote[1].end |
16.61909375 |
transcript.pyannote[2].speaker |
SPEAKER_02 |
transcript.pyannote[2].start |
17.19284375 |
transcript.pyannote[2].end |
18.25596875 |
transcript.pyannote[3].speaker |
SPEAKER_02 |
transcript.pyannote[3].start |
19.58909375 |
transcript.pyannote[3].end |
19.70721875 |
transcript.pyannote[4].speaker |
SPEAKER_02 |
transcript.pyannote[4].start |
20.21346875 |
transcript.pyannote[4].end |
21.74909375 |
transcript.pyannote[5].speaker |
SPEAKER_02 |
transcript.pyannote[5].start |
27.08159375 |
transcript.pyannote[5].end |
29.83221875 |
transcript.pyannote[6].speaker |
SPEAKER_02 |
transcript.pyannote[6].start |
29.89971875 |
transcript.pyannote[6].end |
31.45221875 |
transcript.pyannote[7].speaker |
SPEAKER_02 |
transcript.pyannote[7].start |
31.53659375 |
transcript.pyannote[7].end |
31.55346875 |
transcript.pyannote[8].speaker |
SPEAKER_02 |
transcript.pyannote[8].start |
31.57034375 |
transcript.pyannote[8].end |
36.12659375 |
transcript.pyannote[9].speaker |
SPEAKER_02 |
transcript.pyannote[9].start |
36.64971875 |
transcript.pyannote[9].end |
39.19784375 |
transcript.pyannote[10].speaker |
SPEAKER_02 |
transcript.pyannote[10].start |
39.95721875 |
transcript.pyannote[10].end |
42.04971875 |
transcript.pyannote[11].speaker |
SPEAKER_02 |
transcript.pyannote[11].start |
42.91034375 |
transcript.pyannote[11].end |
45.05346875 |
transcript.pyannote[12].speaker |
SPEAKER_02 |
transcript.pyannote[12].start |
46.03221875 |
transcript.pyannote[12].end |
48.52971875 |
transcript.pyannote[13].speaker |
SPEAKER_02 |
transcript.pyannote[13].start |
49.25534375 |
transcript.pyannote[13].end |
53.55846875 |
transcript.pyannote[14].speaker |
SPEAKER_02 |
transcript.pyannote[14].start |
53.84534375 |
transcript.pyannote[14].end |
55.53284375 |
transcript.pyannote[15].speaker |
SPEAKER_02 |
transcript.pyannote[15].start |
55.81971875 |
transcript.pyannote[15].end |
57.52409375 |
transcript.pyannote[16].speaker |
SPEAKER_02 |
transcript.pyannote[16].start |
58.11471875 |
transcript.pyannote[16].end |
60.81471875 |
transcript.pyannote[17].speaker |
SPEAKER_02 |
transcript.pyannote[17].start |
61.35471875 |
transcript.pyannote[17].end |
64.76346875 |
transcript.pyannote[18].speaker |
SPEAKER_02 |
transcript.pyannote[18].start |
65.48909375 |
transcript.pyannote[18].end |
67.02471875 |
transcript.pyannote[19].speaker |
SPEAKER_03 |
transcript.pyannote[19].start |
67.49721875 |
transcript.pyannote[19].end |
72.25596875 |
transcript.pyannote[20].speaker |
SPEAKER_02 |
transcript.pyannote[20].start |
71.73284375 |
transcript.pyannote[20].end |
88.97909375 |
transcript.pyannote[21].speaker |
SPEAKER_02 |
transcript.pyannote[21].start |
89.65409375 |
transcript.pyannote[21].end |
93.68721875 |
transcript.pyannote[22].speaker |
SPEAKER_02 |
transcript.pyannote[22].start |
94.05846875 |
transcript.pyannote[22].end |
96.10034375 |
transcript.pyannote[23].speaker |
SPEAKER_02 |
transcript.pyannote[23].start |
96.64034375 |
transcript.pyannote[23].end |
98.41221875 |
transcript.pyannote[24].speaker |
SPEAKER_02 |
transcript.pyannote[24].start |
98.58096875 |
transcript.pyannote[24].end |
101.12909375 |
transcript.pyannote[25].speaker |
SPEAKER_02 |
transcript.pyannote[25].start |
101.58471875 |
transcript.pyannote[25].end |
102.96846875 |
transcript.pyannote[26].speaker |
SPEAKER_02 |
transcript.pyannote[26].start |
103.40721875 |
transcript.pyannote[26].end |
105.95534375 |
transcript.pyannote[27].speaker |
SPEAKER_02 |
transcript.pyannote[27].start |
106.24221875 |
transcript.pyannote[27].end |
108.16596875 |
transcript.pyannote[28].speaker |
SPEAKER_02 |
transcript.pyannote[28].start |
108.70596875 |
transcript.pyannote[28].end |
109.31346875 |
transcript.pyannote[29].speaker |
SPEAKER_02 |
transcript.pyannote[29].start |
110.20784375 |
transcript.pyannote[29].end |
112.62096875 |
transcript.pyannote[30].speaker |
SPEAKER_02 |
transcript.pyannote[30].start |
113.46471875 |
transcript.pyannote[30].end |
115.86096875 |
transcript.pyannote[31].speaker |
SPEAKER_02 |
transcript.pyannote[31].start |
115.96221875 |
transcript.pyannote[31].end |
120.31596875 |
transcript.pyannote[32].speaker |
SPEAKER_02 |
transcript.pyannote[32].start |
120.45096875 |
transcript.pyannote[32].end |
125.58096875 |
transcript.pyannote[33].speaker |
SPEAKER_02 |
transcript.pyannote[33].start |
126.07034375 |
transcript.pyannote[33].end |
127.57221875 |
transcript.pyannote[34].speaker |
SPEAKER_02 |
transcript.pyannote[34].start |
128.33159375 |
transcript.pyannote[34].end |
129.19221875 |
transcript.pyannote[35].speaker |
SPEAKER_02 |
transcript.pyannote[35].start |
130.00221875 |
transcript.pyannote[35].end |
131.40284375 |
transcript.pyannote[36].speaker |
SPEAKER_01 |
transcript.pyannote[36].start |
130.54221875 |
transcript.pyannote[36].end |
131.01471875 |
transcript.pyannote[37].speaker |
SPEAKER_01 |
transcript.pyannote[37].start |
131.40284375 |
transcript.pyannote[37].end |
131.55471875 |
transcript.pyannote[38].speaker |
SPEAKER_02 |
transcript.pyannote[38].start |
131.55471875 |
transcript.pyannote[38].end |
131.77409375 |
transcript.pyannote[39].speaker |
SPEAKER_01 |
transcript.pyannote[39].start |
131.77409375 |
transcript.pyannote[39].end |
133.41096875 |
transcript.pyannote[40].speaker |
SPEAKER_01 |
transcript.pyannote[40].start |
133.42784375 |
transcript.pyannote[40].end |
136.81971875 |
transcript.pyannote[41].speaker |
SPEAKER_02 |
transcript.pyannote[41].start |
135.19971875 |
transcript.pyannote[41].end |
138.49034375 |
transcript.pyannote[42].speaker |
SPEAKER_01 |
transcript.pyannote[42].start |
137.93346875 |
transcript.pyannote[42].end |
137.96721875 |
transcript.pyannote[43].speaker |
SPEAKER_01 |
transcript.pyannote[43].start |
138.00096875 |
transcript.pyannote[43].end |
138.40596875 |
transcript.pyannote[44].speaker |
SPEAKER_01 |
transcript.pyannote[44].start |
138.49034375 |
transcript.pyannote[44].end |
138.50721875 |
transcript.pyannote[45].speaker |
SPEAKER_02 |
transcript.pyannote[45].start |
138.50721875 |
transcript.pyannote[45].end |
138.79409375 |
transcript.pyannote[46].speaker |
SPEAKER_01 |
transcript.pyannote[46].start |
138.79409375 |
transcript.pyannote[46].end |
139.09784375 |
transcript.pyannote[47].speaker |
SPEAKER_02 |
transcript.pyannote[47].start |
139.09784375 |
transcript.pyannote[47].end |
140.19471875 |
transcript.pyannote[48].speaker |
SPEAKER_01 |
transcript.pyannote[48].start |
140.19471875 |
transcript.pyannote[48].end |
140.48159375 |
transcript.pyannote[49].speaker |
SPEAKER_02 |
transcript.pyannote[49].start |
140.48159375 |
transcript.pyannote[49].end |
144.07596875 |
transcript.pyannote[50].speaker |
SPEAKER_01 |
transcript.pyannote[50].start |
144.07596875 |
transcript.pyannote[50].end |
144.24471875 |
transcript.pyannote[51].speaker |
SPEAKER_02 |
transcript.pyannote[51].start |
144.24471875 |
transcript.pyannote[51].end |
145.32471875 |
transcript.pyannote[52].speaker |
SPEAKER_01 |
transcript.pyannote[52].start |
144.29534375 |
transcript.pyannote[52].end |
150.25221875 |
transcript.pyannote[53].speaker |
SPEAKER_02 |
transcript.pyannote[53].start |
149.07096875 |
transcript.pyannote[53].end |
159.63471875 |
transcript.pyannote[54].speaker |
SPEAKER_00 |
transcript.pyannote[54].start |
158.45346875 |
transcript.pyannote[54].end |
159.11159375 |
transcript.pyannote[55].speaker |
SPEAKER_00 |
transcript.pyannote[55].start |
159.63471875 |
transcript.pyannote[55].end |
159.92159375 |
transcript.pyannote[56].speaker |
SPEAKER_02 |
transcript.pyannote[56].start |
159.92159375 |
transcript.pyannote[56].end |
159.93846875 |
transcript.pyannote[57].speaker |
SPEAKER_02 |
transcript.pyannote[57].start |
160.30971875 |
transcript.pyannote[57].end |
170.45159375 |
transcript.pyannote[58].speaker |
SPEAKER_01 |
transcript.pyannote[58].start |
170.45159375 |
transcript.pyannote[58].end |
173.60721875 |
transcript.pyannote[59].speaker |
SPEAKER_01 |
transcript.pyannote[59].start |
174.31596875 |
transcript.pyannote[59].end |
174.65346875 |
transcript.pyannote[60].speaker |
SPEAKER_02 |
transcript.pyannote[60].start |
174.65346875 |
transcript.pyannote[60].end |
186.80346875 |
transcript.pyannote[61].speaker |
SPEAKER_01 |
transcript.pyannote[61].start |
174.67034375 |
transcript.pyannote[61].end |
175.73346875 |
transcript.pyannote[62].speaker |
SPEAKER_02 |
transcript.pyannote[62].start |
187.36034375 |
transcript.pyannote[62].end |
189.63846875 |
transcript.pyannote[63].speaker |
SPEAKER_01 |
transcript.pyannote[63].start |
189.63846875 |
transcript.pyannote[63].end |
189.65534375 |
transcript.pyannote[64].speaker |
SPEAKER_02 |
transcript.pyannote[64].start |
189.65534375 |
transcript.pyannote[64].end |
189.79034375 |
transcript.pyannote[65].speaker |
SPEAKER_01 |
transcript.pyannote[65].start |
189.79034375 |
transcript.pyannote[65].end |
189.87471875 |
transcript.pyannote[66].speaker |
SPEAKER_02 |
transcript.pyannote[66].start |
189.87471875 |
transcript.pyannote[66].end |
190.58346875 |
transcript.pyannote[67].speaker |
SPEAKER_01 |
transcript.pyannote[67].start |
190.58346875 |
transcript.pyannote[67].end |
190.65096875 |
transcript.pyannote[68].speaker |
SPEAKER_02 |
transcript.pyannote[68].start |
190.65096875 |
transcript.pyannote[68].end |
190.68471875 |
transcript.pyannote[69].speaker |
SPEAKER_01 |
transcript.pyannote[69].start |
190.68471875 |
transcript.pyannote[69].end |
193.67159375 |
transcript.pyannote[70].speaker |
SPEAKER_02 |
transcript.pyannote[70].start |
194.70096875 |
transcript.pyannote[70].end |
197.02971875 |
transcript.pyannote[71].speaker |
SPEAKER_02 |
transcript.pyannote[71].start |
197.85659375 |
transcript.pyannote[71].end |
202.05846875 |
transcript.pyannote[72].speaker |
SPEAKER_02 |
transcript.pyannote[72].start |
202.59846875 |
transcript.pyannote[72].end |
208.62284375 |
transcript.pyannote[73].speaker |
SPEAKER_02 |
transcript.pyannote[73].start |
209.07846875 |
transcript.pyannote[73].end |
215.72721875 |
transcript.pyannote[74].speaker |
SPEAKER_02 |
transcript.pyannote[74].start |
216.90846875 |
transcript.pyannote[74].end |
217.48221875 |
transcript.pyannote[75].speaker |
SPEAKER_02 |
transcript.pyannote[75].start |
217.98846875 |
transcript.pyannote[75].end |
220.14846875 |
transcript.pyannote[76].speaker |
SPEAKER_02 |
transcript.pyannote[76].start |
221.07659375 |
transcript.pyannote[76].end |
225.16034375 |
transcript.pyannote[77].speaker |
SPEAKER_03 |
transcript.pyannote[77].start |
223.81034375 |
transcript.pyannote[77].end |
224.06346875 |
transcript.pyannote[78].speaker |
SPEAKER_02 |
transcript.pyannote[78].start |
226.20659375 |
transcript.pyannote[78].end |
227.91096875 |
transcript.pyannote[79].speaker |
SPEAKER_02 |
transcript.pyannote[79].start |
228.73784375 |
transcript.pyannote[79].end |
235.03221875 |
transcript.pyannote[80].speaker |
SPEAKER_02 |
transcript.pyannote[80].start |
235.42034375 |
transcript.pyannote[80].end |
239.08221875 |
transcript.pyannote[81].speaker |
SPEAKER_02 |
transcript.pyannote[81].start |
239.43659375 |
transcript.pyannote[81].end |
242.03534375 |
transcript.pyannote[82].speaker |
SPEAKER_03 |
transcript.pyannote[82].start |
242.03534375 |
transcript.pyannote[82].end |
243.25034375 |
transcript.pyannote[83].speaker |
SPEAKER_03 |
transcript.pyannote[83].start |
243.80721875 |
transcript.pyannote[83].end |
245.24159375 |
transcript.pyannote[84].speaker |
SPEAKER_03 |
transcript.pyannote[84].start |
245.81534375 |
transcript.pyannote[84].end |
251.68784375 |
transcript.pyannote[85].speaker |
SPEAKER_03 |
transcript.pyannote[85].start |
252.04221875 |
transcript.pyannote[85].end |
253.42596875 |
transcript.pyannote[86].speaker |
SPEAKER_03 |
transcript.pyannote[86].start |
253.72971875 |
transcript.pyannote[86].end |
260.66534375 |
transcript.pyannote[87].speaker |
SPEAKER_03 |
transcript.pyannote[87].start |
260.90159375 |
transcript.pyannote[87].end |
263.78721875 |
transcript.pyannote[88].speaker |
SPEAKER_02 |
transcript.pyannote[88].start |
262.79159375 |
transcript.pyannote[88].end |
269.03534375 |
transcript.pyannote[89].speaker |
SPEAKER_03 |
transcript.pyannote[89].start |
267.01034375 |
transcript.pyannote[89].end |
267.58409375 |
transcript.pyannote[90].speaker |
SPEAKER_02 |
transcript.pyannote[90].start |
270.16596875 |
transcript.pyannote[90].end |
273.60846875 |
transcript.pyannote[91].speaker |
SPEAKER_02 |
transcript.pyannote[91].start |
274.09784375 |
transcript.pyannote[91].end |
276.02159375 |
transcript.pyannote[92].speaker |
SPEAKER_03 |
transcript.pyannote[92].start |
276.69659375 |
transcript.pyannote[92].end |
285.96096875 |
transcript.pyannote[93].speaker |
SPEAKER_02 |
transcript.pyannote[93].start |
284.17221875 |
transcript.pyannote[93].end |
293.11596875 |
transcript.pyannote[94].speaker |
SPEAKER_02 |
transcript.pyannote[94].start |
293.38596875 |
transcript.pyannote[94].end |
293.43659375 |
transcript.pyannote[95].speaker |
SPEAKER_03 |
transcript.pyannote[95].start |
293.43659375 |
transcript.pyannote[95].end |
295.52909375 |
transcript.pyannote[96].speaker |
SPEAKER_02 |
transcript.pyannote[96].start |
294.28034375 |
transcript.pyannote[96].end |
296.11971875 |
transcript.pyannote[97].speaker |
SPEAKER_02 |
transcript.pyannote[97].start |
296.60909375 |
transcript.pyannote[97].end |
297.79034375 |
transcript.pyannote[98].speaker |
SPEAKER_02 |
transcript.pyannote[98].start |
298.34721875 |
transcript.pyannote[98].end |
303.37596875 |
transcript.pyannote[99].speaker |
SPEAKER_03 |
transcript.pyannote[99].start |
304.55721875 |
transcript.pyannote[99].end |
308.13471875 |
transcript.pyannote[100].speaker |
SPEAKER_03 |
transcript.pyannote[100].start |
308.53971875 |
transcript.pyannote[100].end |
311.67846875 |
transcript.pyannote[101].speaker |
SPEAKER_02 |
transcript.pyannote[101].start |
310.15971875 |
transcript.pyannote[101].end |
317.90534375 |
transcript.pyannote[102].speaker |
SPEAKER_03 |
transcript.pyannote[102].start |
315.17159375 |
transcript.pyannote[102].end |
315.57659375 |
transcript.pyannote[103].speaker |
SPEAKER_03 |
transcript.pyannote[103].start |
316.42034375 |
transcript.pyannote[103].end |
316.57221875 |
transcript.pyannote[104].speaker |
SPEAKER_02 |
transcript.pyannote[104].start |
318.25971875 |
transcript.pyannote[104].end |
323.32221875 |
transcript.pyannote[105].speaker |
SPEAKER_02 |
transcript.pyannote[105].start |
323.44034375 |
transcript.pyannote[105].end |
327.50721875 |
transcript.pyannote[106].speaker |
SPEAKER_03 |
transcript.pyannote[106].start |
327.50721875 |
transcript.pyannote[106].end |
327.59159375 |
transcript.pyannote[107].speaker |
SPEAKER_03 |
transcript.pyannote[107].start |
327.84471875 |
transcript.pyannote[107].end |
327.87846875 |
transcript.pyannote[108].speaker |
SPEAKER_02 |
transcript.pyannote[108].start |
327.87846875 |
transcript.pyannote[108].end |
328.03034375 |
transcript.pyannote[109].speaker |
SPEAKER_03 |
transcript.pyannote[109].start |
328.03034375 |
transcript.pyannote[109].end |
338.05409375 |
transcript.pyannote[110].speaker |
SPEAKER_02 |
transcript.pyannote[110].start |
336.48471875 |
transcript.pyannote[110].end |
346.84596875 |
transcript.pyannote[111].speaker |
SPEAKER_03 |
transcript.pyannote[111].start |
339.91034375 |
transcript.pyannote[111].end |
340.28159375 |
transcript.pyannote[112].speaker |
SPEAKER_02 |
transcript.pyannote[112].start |
347.97659375 |
transcript.pyannote[112].end |
350.65971875 |
transcript.pyannote[113].speaker |
SPEAKER_02 |
transcript.pyannote[113].start |
350.69346875 |
transcript.pyannote[113].end |
353.02221875 |
transcript.pyannote[114].speaker |
SPEAKER_02 |
transcript.pyannote[114].start |
353.44409375 |
transcript.pyannote[114].end |
354.86159375 |
transcript.pyannote[115].speaker |
SPEAKER_03 |
transcript.pyannote[115].start |
355.97534375 |
transcript.pyannote[115].end |
359.92409375 |
transcript.pyannote[116].speaker |
SPEAKER_02 |
transcript.pyannote[116].start |
360.76784375 |
transcript.pyannote[116].end |
368.51346875 |
transcript.pyannote[117].speaker |
SPEAKER_03 |
transcript.pyannote[117].start |
367.04534375 |
transcript.pyannote[117].end |
367.68659375 |
transcript.pyannote[118].speaker |
SPEAKER_02 |
transcript.pyannote[118].start |
368.73284375 |
transcript.pyannote[118].end |
384.39284375 |
transcript.pyannote[119].speaker |
SPEAKER_02 |
transcript.pyannote[119].start |
384.44346875 |
transcript.pyannote[119].end |
384.79784375 |
transcript.pyannote[120].speaker |
SPEAKER_02 |
transcript.pyannote[120].start |
384.94971875 |
transcript.pyannote[120].end |
387.36284375 |
transcript.pyannote[121].speaker |
SPEAKER_02 |
transcript.pyannote[121].start |
387.97034375 |
transcript.pyannote[121].end |
391.21034375 |
transcript.pyannote[122].speaker |
SPEAKER_02 |
transcript.pyannote[122].start |
392.12159375 |
transcript.pyannote[122].end |
398.09534375 |
transcript.pyannote[123].speaker |
SPEAKER_02 |
transcript.pyannote[123].start |
398.58471875 |
transcript.pyannote[123].end |
400.69409375 |
transcript.pyannote[124].speaker |
SPEAKER_02 |
transcript.pyannote[124].start |
400.71096875 |
transcript.pyannote[124].end |
412.89471875 |
transcript.pyannote[125].speaker |
SPEAKER_02 |
transcript.pyannote[125].start |
413.53596875 |
transcript.pyannote[125].end |
416.86034375 |
transcript.pyannote[126].speaker |
SPEAKER_02 |
transcript.pyannote[126].start |
417.88971875 |
transcript.pyannote[126].end |
418.69971875 |
transcript.pyannote[127].speaker |
SPEAKER_03 |
transcript.pyannote[127].start |
419.20596875 |
transcript.pyannote[127].end |
420.04971875 |
transcript.pyannote[128].speaker |
SPEAKER_02 |
transcript.pyannote[128].start |
420.15096875 |
transcript.pyannote[128].end |
420.53909375 |
transcript.pyannote[129].speaker |
SPEAKER_02 |
transcript.pyannote[129].start |
420.82596875 |
transcript.pyannote[129].end |
424.92659375 |
transcript.pyannote[130].speaker |
SPEAKER_02 |
transcript.pyannote[130].start |
425.43284375 |
transcript.pyannote[130].end |
427.20471875 |
transcript.pyannote[131].speaker |
SPEAKER_02 |
transcript.pyannote[131].start |
427.27221875 |
transcript.pyannote[131].end |
430.10721875 |
transcript.pyannote[132].speaker |
SPEAKER_02 |
transcript.pyannote[132].start |
430.44471875 |
transcript.pyannote[132].end |
431.18721875 |
transcript.pyannote[133].speaker |
SPEAKER_02 |
transcript.pyannote[133].start |
431.38971875 |
transcript.pyannote[133].end |
433.34721875 |
transcript.pyannote[134].speaker |
SPEAKER_02 |
transcript.pyannote[134].start |
434.07284375 |
transcript.pyannote[134].end |
437.56596875 |
transcript.pyannote[135].speaker |
SPEAKER_02 |
transcript.pyannote[135].start |
438.42659375 |
transcript.pyannote[135].end |
439.94534375 |
transcript.pyannote[136].speaker |
SPEAKER_02 |
transcript.pyannote[136].start |
440.53596875 |
transcript.pyannote[136].end |
442.12221875 |
transcript.pyannote[137].speaker |
SPEAKER_02 |
transcript.pyannote[137].start |
442.72971875 |
transcript.pyannote[137].end |
443.94471875 |
transcript.pyannote[138].speaker |
SPEAKER_02 |
transcript.pyannote[138].start |
444.94034375 |
transcript.pyannote[138].end |
445.39596875 |
transcript.pyannote[139].speaker |
SPEAKER_02 |
transcript.pyannote[139].start |
445.66596875 |
transcript.pyannote[139].end |
447.55596875 |
transcript.pyannote[140].speaker |
SPEAKER_00 |
transcript.pyannote[140].start |
447.55596875 |
transcript.pyannote[140].end |
447.57284375 |
transcript.pyannote[141].speaker |
SPEAKER_02 |
transcript.pyannote[141].start |
448.12971875 |
transcript.pyannote[141].end |
448.14659375 |
transcript.pyannote[142].speaker |
SPEAKER_00 |
transcript.pyannote[142].start |
448.14659375 |
transcript.pyannote[142].end |
448.72034375 |
transcript.pyannote[143].speaker |
SPEAKER_00 |
transcript.pyannote[143].start |
450.61034375 |
transcript.pyannote[143].end |
451.16721875 |
transcript.pyannote[144].speaker |
SPEAKER_00 |
transcript.pyannote[144].start |
451.72409375 |
transcript.pyannote[144].end |
459.03096875 |
transcript.pyannote[145].speaker |
SPEAKER_02 |
transcript.pyannote[145].start |
459.03096875 |
transcript.pyannote[145].end |
476.14221875 |
transcript.pyannote[146].speaker |
SPEAKER_02 |
transcript.pyannote[146].start |
476.34471875 |
transcript.pyannote[146].end |
477.37409375 |
transcript.pyannote[147].speaker |
SPEAKER_00 |
transcript.pyannote[147].start |
480.25971875 |
transcript.pyannote[147].end |
489.08534375 |
transcript.pyannote[148].speaker |
SPEAKER_02 |
transcript.pyannote[148].start |
488.96721875 |
transcript.pyannote[148].end |
489.01784375 |
transcript.pyannote[149].speaker |
SPEAKER_02 |
transcript.pyannote[149].start |
489.08534375 |
transcript.pyannote[149].end |
497.03346875 |
transcript.pyannote[150].speaker |
SPEAKER_02 |
transcript.pyannote[150].start |
497.05034375 |
transcript.pyannote[150].end |
502.26471875 |
transcript.pyannote[151].speaker |
SPEAKER_02 |
transcript.pyannote[151].start |
503.32784375 |
transcript.pyannote[151].end |
504.71159375 |
transcript.pyannote[152].speaker |
SPEAKER_02 |
transcript.pyannote[152].start |
505.90971875 |
transcript.pyannote[152].end |
506.77034375 |
transcript.pyannote[153].speaker |
SPEAKER_02 |
transcript.pyannote[153].start |
507.27659375 |
transcript.pyannote[153].end |
508.18784375 |
transcript.pyannote[154].speaker |
SPEAKER_02 |
transcript.pyannote[154].start |
508.62659375 |
transcript.pyannote[154].end |
511.15784375 |
transcript.pyannote[155].speaker |
SPEAKER_00 |
transcript.pyannote[155].start |
511.15784375 |
transcript.pyannote[155].end |
511.17471875 |
transcript.pyannote[156].speaker |
SPEAKER_02 |
transcript.pyannote[156].start |
512.59221875 |
transcript.pyannote[156].end |
512.60909375 |
transcript.pyannote[157].speaker |
SPEAKER_00 |
transcript.pyannote[157].start |
512.60909375 |
transcript.pyannote[157].end |
513.68909375 |
transcript.pyannote[158].speaker |
SPEAKER_00 |
transcript.pyannote[158].start |
513.82409375 |
transcript.pyannote[158].end |
514.70159375 |
transcript.pyannote[159].speaker |
SPEAKER_00 |
transcript.pyannote[159].start |
514.83659375 |
transcript.pyannote[159].end |
520.89471875 |
transcript.pyannote[160].speaker |
SPEAKER_02 |
transcript.pyannote[160].start |
520.52346875 |
transcript.pyannote[160].end |
520.59096875 |
transcript.pyannote[161].speaker |
SPEAKER_02 |
transcript.pyannote[161].start |
520.89471875 |
transcript.pyannote[161].end |
524.52284375 |
transcript.pyannote[162].speaker |
SPEAKER_02 |
transcript.pyannote[162].start |
524.75909375 |
transcript.pyannote[162].end |
525.97409375 |
transcript.pyannote[163].speaker |
SPEAKER_02 |
transcript.pyannote[163].start |
526.17659375 |
transcript.pyannote[163].end |
527.27346875 |
transcript.pyannote[164].speaker |
SPEAKER_02 |
transcript.pyannote[164].start |
527.69534375 |
transcript.pyannote[164].end |
529.34909375 |
transcript.pyannote[165].speaker |
SPEAKER_02 |
transcript.pyannote[165].start |
529.90596875 |
transcript.pyannote[165].end |
530.53034375 |
transcript.pyannote[166].speaker |
SPEAKER_02 |
transcript.pyannote[166].start |
532.16721875 |
transcript.pyannote[166].end |
533.06159375 |
transcript.pyannote[167].speaker |
SPEAKER_03 |
transcript.pyannote[167].start |
533.16284375 |
transcript.pyannote[167].end |
534.54659375 |
transcript.pyannote[168].speaker |
SPEAKER_02 |
transcript.pyannote[168].start |
534.54659375 |
transcript.pyannote[168].end |
534.85034375 |
transcript.pyannote[169].speaker |
SPEAKER_02 |
transcript.pyannote[169].start |
534.91784375 |
transcript.pyannote[169].end |
535.93034375 |
transcript.pyannote[170].speaker |
SPEAKER_03 |
transcript.pyannote[170].start |
536.36909375 |
transcript.pyannote[170].end |
536.89221875 |
transcript.pyannote[171].speaker |
SPEAKER_03 |
transcript.pyannote[171].start |
537.09471875 |
transcript.pyannote[171].end |
537.14534375 |
transcript.pyannote[172].speaker |
SPEAKER_03 |
transcript.pyannote[172].start |
537.75284375 |
transcript.pyannote[172].end |
538.36034375 |
transcript.pyannote[173].speaker |
SPEAKER_03 |
transcript.pyannote[173].start |
538.44471875 |
transcript.pyannote[173].end |
539.08596875 |
transcript.pyannote[174].speaker |
SPEAKER_03 |
transcript.pyannote[174].start |
539.69346875 |
transcript.pyannote[174].end |
539.72721875 |
transcript.pyannote[175].speaker |
SPEAKER_02 |
transcript.pyannote[175].start |
539.72721875 |
transcript.pyannote[175].end |
539.94659375 |
transcript.pyannote[176].speaker |
SPEAKER_03 |
transcript.pyannote[176].start |
539.94659375 |
transcript.pyannote[176].end |
539.96346875 |
transcript.pyannote[177].speaker |
SPEAKER_02 |
transcript.pyannote[177].start |
539.96346875 |
transcript.pyannote[177].end |
542.08971875 |
transcript.pyannote[178].speaker |
SPEAKER_03 |
transcript.pyannote[178].start |
544.19909375 |
transcript.pyannote[178].end |
551.91096875 |
transcript.pyannote[179].speaker |
SPEAKER_02 |
transcript.pyannote[179].start |
551.69159375 |
transcript.pyannote[179].end |
554.50971875 |
transcript.pyannote[180].speaker |
SPEAKER_02 |
transcript.pyannote[180].start |
554.89784375 |
transcript.pyannote[180].end |
556.73721875 |
transcript.pyannote[181].speaker |
SPEAKER_02 |
transcript.pyannote[181].start |
557.20971875 |
transcript.pyannote[181].end |
559.40346875 |
transcript.pyannote[182].speaker |
SPEAKER_02 |
transcript.pyannote[182].start |
559.96034375 |
transcript.pyannote[182].end |
562.05284375 |
transcript.pyannote[183].speaker |
SPEAKER_02 |
transcript.pyannote[183].start |
562.33971875 |
transcript.pyannote[183].end |
567.72284375 |
transcript.pyannote[184].speaker |
SPEAKER_02 |
transcript.pyannote[184].start |
568.11096875 |
transcript.pyannote[184].end |
568.81971875 |
transcript.pyannote[185].speaker |
SPEAKER_02 |
transcript.pyannote[185].start |
569.71409375 |
transcript.pyannote[185].end |
569.73096875 |
transcript.pyannote[186].speaker |
SPEAKER_03 |
transcript.pyannote[186].start |
569.73096875 |
transcript.pyannote[186].end |
572.24534375 |
transcript.pyannote[187].speaker |
SPEAKER_03 |
transcript.pyannote[187].start |
572.76846875 |
transcript.pyannote[187].end |
573.66284375 |
transcript.pyannote[188].speaker |
SPEAKER_03 |
transcript.pyannote[188].start |
574.55721875 |
transcript.pyannote[188].end |
577.71284375 |
transcript.pyannote[189].speaker |
SPEAKER_03 |
transcript.pyannote[189].start |
577.78034375 |
transcript.pyannote[189].end |
592.56284375 |
transcript.pyannote[190].speaker |
SPEAKER_02 |
transcript.pyannote[190].start |
589.10346875 |
transcript.pyannote[190].end |
593.57534375 |
transcript.pyannote[191].speaker |
SPEAKER_02 |
transcript.pyannote[191].start |
594.21659375 |
transcript.pyannote[191].end |
610.70346875 |
transcript.pyannote[192].speaker |
SPEAKER_02 |
transcript.pyannote[192].start |
611.53034375 |
transcript.pyannote[192].end |
613.99409375 |
transcript.pyannote[193].speaker |
SPEAKER_02 |
transcript.pyannote[193].start |
614.23034375 |
transcript.pyannote[193].end |
642.32721875 |
transcript.pyannote[194].speaker |
SPEAKER_02 |
transcript.pyannote[194].start |
642.59721875 |
transcript.pyannote[194].end |
644.41971875 |
transcript.pyannote[195].speaker |
SPEAKER_02 |
transcript.pyannote[195].start |
645.75284375 |
transcript.pyannote[195].end |
660.09659375 |
transcript.pyannote[196].speaker |
SPEAKER_02 |
transcript.pyannote[196].start |
660.80534375 |
transcript.pyannote[196].end |
661.54784375 |
transcript.pyannote[197].speaker |
SPEAKER_02 |
transcript.pyannote[197].start |
662.07096875 |
transcript.pyannote[197].end |
662.29034375 |
transcript.pyannote[198].speaker |
SPEAKER_02 |
transcript.pyannote[198].start |
662.94846875 |
transcript.pyannote[198].end |
664.58534375 |
transcript.pyannote[199].speaker |
SPEAKER_02 |
transcript.pyannote[199].start |
665.05784375 |
transcript.pyannote[199].end |
667.08284375 |
transcript.pyannote[200].speaker |
SPEAKER_02 |
transcript.pyannote[200].start |
667.30221875 |
transcript.pyannote[200].end |
667.55534375 |
transcript.pyannote[201].speaker |
SPEAKER_02 |
transcript.pyannote[201].start |
667.62284375 |
transcript.pyannote[201].end |
669.02346875 |
transcript.pyannote[202].speaker |
SPEAKER_02 |
transcript.pyannote[202].start |
669.31034375 |
transcript.pyannote[202].end |
670.96409375 |
transcript.pyannote[203].speaker |
SPEAKER_02 |
transcript.pyannote[203].start |
671.14971875 |
transcript.pyannote[203].end |
673.86659375 |
transcript.pyannote[204].speaker |
SPEAKER_02 |
transcript.pyannote[204].start |
674.15346875 |
transcript.pyannote[204].end |
677.22471875 |
transcript.pyannote[205].speaker |
SPEAKER_02 |
transcript.pyannote[205].start |
677.57909375 |
transcript.pyannote[205].end |
680.51534375 |
transcript.pyannote[206].speaker |
SPEAKER_02 |
transcript.pyannote[206].start |
680.83596875 |
transcript.pyannote[206].end |
682.81034375 |
transcript.pyannote[207].speaker |
SPEAKER_02 |
transcript.pyannote[207].start |
683.01284375 |
transcript.pyannote[207].end |
683.02971875 |
transcript.pyannote[208].speaker |
SPEAKER_02 |
transcript.pyannote[208].start |
683.04659375 |
transcript.pyannote[208].end |
685.02096875 |
transcript.pyannote[209].speaker |
SPEAKER_02 |
transcript.pyannote[209].start |
685.30784375 |
transcript.pyannote[209].end |
688.21034375 |
transcript.pyannote[210].speaker |
SPEAKER_02 |
transcript.pyannote[210].start |
689.27346875 |
transcript.pyannote[210].end |
690.03284375 |
transcript.pyannote[211].speaker |
SPEAKER_00 |
transcript.pyannote[211].start |
690.03284375 |
transcript.pyannote[211].end |
691.43346875 |
transcript.pyannote[212].speaker |
SPEAKER_00 |
transcript.pyannote[212].start |
692.17596875 |
transcript.pyannote[212].end |
708.83159375 |
transcript.pyannote[213].speaker |
SPEAKER_02 |
transcript.pyannote[213].start |
708.59534375 |
transcript.pyannote[213].end |
718.14659375 |
transcript.pyannote[214].speaker |
SPEAKER_02 |
transcript.pyannote[214].start |
718.99034375 |
transcript.pyannote[214].end |
719.02409375 |
transcript.pyannote[215].speaker |
SPEAKER_00 |
transcript.pyannote[215].start |
719.02409375 |
transcript.pyannote[215].end |
719.04096875 |
transcript.pyannote[216].speaker |
SPEAKER_02 |
transcript.pyannote[216].start |
719.04096875 |
transcript.pyannote[216].end |
719.19284375 |
transcript.pyannote[217].speaker |
SPEAKER_00 |
transcript.pyannote[217].start |
720.10409375 |
transcript.pyannote[217].end |
732.94596875 |
transcript.pyannote[218].speaker |
SPEAKER_02 |
transcript.pyannote[218].start |
722.83784375 |
transcript.pyannote[218].end |
724.76159375 |
transcript.pyannote[219].speaker |
SPEAKER_02 |
transcript.pyannote[219].start |
730.63409375 |
transcript.pyannote[219].end |
737.02971875 |
transcript.pyannote[220].speaker |
SPEAKER_02 |
transcript.pyannote[220].start |
737.55284375 |
transcript.pyannote[220].end |
742.49721875 |
transcript.pyannote[221].speaker |
SPEAKER_02 |
transcript.pyannote[221].start |
742.76721875 |
transcript.pyannote[221].end |
743.98221875 |
transcript.pyannote[222].speaker |
SPEAKER_02 |
transcript.pyannote[222].start |
744.40409375 |
transcript.pyannote[222].end |
749.97284375 |
transcript.pyannote[223].speaker |
SPEAKER_02 |
transcript.pyannote[223].start |
751.01909375 |
transcript.pyannote[223].end |
751.47471875 |
transcript.whisperx[0].start |
13.895 |
transcript.whisperx[0].end |
38.326 |
transcript.whisperx[0].text |
謝謝經濟部賴財務市長還有國科會林副主委賴市長林副主委好委員好市長今天的議題抗旱跟防洪基本上是兩個極端的議題大家都希望說這個風調雨順但是事實上是天有不測風雲 |
transcript.whisperx[1].start |
40.617 |
transcript.whisperx[1].end |
66.615 |
transcript.whisperx[1].text |
旱災跟水災並不是現在才有並不是因為完全是極端氣候造成的以前當然有水災也有旱災那目前因為極端氣候造成說它發生的頻率會增加或者它的規模會擴大或者它不可測性會增加所以以我的觀察目前抗旱跟防洪不可能同時成立 對不對這兩個災害不可能同時發生嘛 |
transcript.whisperx[2].start |
67.723 |
transcript.whisperx[2].end |
93.284 |
transcript.whisperx[2].text |
水太縮 水太少 有時候一夕之間就反轉過去很多的記錄是對 以long term來看不可能說兩個致災性或者巨大致災不可能同時發生一定是有它的間歇性那以發生頻率來看我覺得是近幾年來大概有百年大旱因為幾年颱風都沒進來那這個反而是如果說正常性一年有五六個颱風入境台灣 |
transcript.whisperx[3].start |
96.69 |
transcript.whisperx[3].end |
111.615 |
transcript.whisperx[3].text |
那它帶來的這個雨會造成自災性的這個水患反而它頻率比較大那我今天為什麼請這個國科會副主委國科會這個副主委請教一下科學園區的防洪 |
transcript.whisperx[4].start |
113.593 |
transcript.whisperx[4].end |
127.285 |
transcript.whisperx[4].text |
是你們負責還是水利署來負責?園區是我們負責你們負責你們看你們報告完全沒有關於這個園區的防洪抗災防洪計畫不要說抗災啦防洪計畫就好了因為你今天只是請中科欸 |
transcript.whisperx[5].start |
128.476 |
transcript.whisperx[5].end |
142.234 |
transcript.whisperx[5].text |
為什麼南科沒有來那個 那個南科就沒有問題嗎不是 是中科統一負責所有的業務那基本上我們都是照中科統一 這個我覺得有問題輪值 我們是輪值 對還要輪值啊對對中科了解南科的這個這個繁紅的狀況嗎 |
transcript.whisperx[6].start |
144.096 |
transcript.whisperx[6].end |
172.85 |
transcript.whisperx[6].text |
了解了解因為我們都彙整到我們的那個國科會我們都是一起去討論的那如果南科發生這個自災性的這個洪災的時候我要打電話去中科請中科來支援啊不是不是我們是規劃的時候一起彙整而已這個你們要檢討一下我現在才知道說為什麼是中科負責全國科學園區未來科學園區越來越多連高雄屏東嘉義都有沒有跟委員報告是輪值可能明明就會換到那個 |
transcript.whisperx[7].start |
175.47 |
transcript.whisperx[7].end |
200.071 |
transcript.whisperx[7].text |
你應該是一個獨立的由南科有一個抗災防洪小組中科有一個小組然後竹科有一個小組他不可能輪值去管全國的科學園區的防洪或者這個防洪的規劃是跟我們報告他是輪值彙整其實是各個園區自行規劃是這個你們自錄再檢討一下是好那個今天的報告請教一下經濟部副大次長 |
transcript.whisperx[8].start |
203.217 |
transcript.whisperx[8].end |
227.673 |
transcript.whisperx[8].text |
四月份北中南東各區召開防汛準備會議我認為應該是各縣市你應該落實到各縣市比如說南區來說南區裡面包括澎湖、嘉義、南對不對到屏東這個各縣市的防洪狀況不一樣我認為你應該落實到各縣市多幾次的會議而已要說得很清楚 |
transcript.whisperx[9].start |
229.544 |
transcript.whisperx[9].end |
243.082 |
transcript.whisperx[9].text |
比方說這個高雄你有點寶溪治水防洪那個還有這個後津溪治水防洪屏東還有屏東的問題 嘉義的問題 台南的問題啊你不能一個區分市場你就把它辦完了沒有 |
transcript.whisperx[10].start |
244.054 |
transcript.whisperx[10].end |
268.866 |
transcript.whisperx[10].text |
跟委員所說明的我們每一個縣市會從核酸分屬先檢討如委員所說的方式每一個流域每一個風險點都盤點出來那至於說四個分區的部分是把每一個縣市檢討出來可改善的部分在當地馬上就要處理了我認為應該是這樣擴大到各區分散到各區然後縣市所長都要列席 |
transcript.whisperx[11].start |
270.359 |
transcript.whisperx[11].end |
275.873 |
transcript.whisperx[11].text |
因為縣市首長是第一線的指揮官所以我希望說要落實到各縣市 |
transcript.whisperx[12].start |
276.755 |
transcript.whisperx[12].end |
303.146 |
transcript.whisperx[12].text |
是 我們現在看到的話各縣市的首長大部分都會在訊息之前召開當地的縣市的黃訊的會議那是地方型的 那是縣市主管的但你跟中央地方在訊息之中要怎麼合作我希望要落實以縣市為主好 謝謝委員建議 再往內進進另外啊 對抽水站跟這個水門跟抽水機的管理你現在都委外對不對 |
transcript.whisperx[13].start |
304.825 |
transcript.whisperx[13].end |
332.833 |
transcript.whisperx[13].text |
基本上我們有自己的所謂的自己可以動用的這個抽水機很大部分是委外我知道嘛每一個抽水站大部分它有它這個委外的公司委外有管理員在那邊管理這個抽水站那個有時候開這個閘門要打開的時候沒打該關的時候沒關會造成自災所以這部分你要怎麼去檢討這個廠商的責任第一個所有的設施包括移動式的抽水機我們有一個QR code |
transcript.whisperx[14].start |
333.513 |
transcript.whisperx[14].end |
359.305 |
transcript.whisperx[14].text |
他現在在哪個地方 他的妥善率怎麼樣他這個馬上可以回傳 聯繫的機制一定要很完整讓里長 讓區長能夠迅速能夠掌握到這個水閘門的狀況什麼時候開 什麼時候關 什麼時候閉所以這部分是不是可以落實一下這個對水閘門或者這個戳水站 戳水機相關的管理可以嗎這個我們已經有在 但是委員所說的我們在盡興 |
transcript.whisperx[15].start |
360.834 |
transcript.whisperx[15].end |
373.071 |
transcript.whisperx[15].text |
另外這個再生水廠原本是在高雄是沒有在北高雄是沒有是臨海跟鳳山嘛那我這邊不曉得講了幾次之後才多了這個鋼橋那請內政部來好了鋼橋跟這個楠梓 |
transcript.whisperx[16].start |
377.236 |
transcript.whisperx[16].end |
391.073 |
transcript.whisperx[16].text |
好 那目前這兩個再生水廠當然是使你有這個汙水下水道 雨水下水道你才能有再生水廠對不對對好 再生水廠在這個市中心或者是在都會區市商隊可以的 |
transcript.whisperx[17].start |
392.222 |
transcript.whisperx[17].end |
418.502 |
transcript.whisperx[17].text |
所以才有這個條件可以設立這個南子戰車水場跟鋼橋戰車水場那也是我的大力爭取才有的這戰車水場是日後要提供於產業園區的廠商所使用對不對目前相關的辦法 比如說你們修正的戰車水辦法這個只要兩萬度以上的工業大戶 對不對要五成以上的這個戰車水的使用是不是有這個規定 |
transcript.whisperx[18].start |
420.206 |
transcript.whisperx[18].end |
448.631 |
transcript.whisperx[18].text |
好 如果這樣的規定的話 未來越來越多廠商進駐 而且都是大廠它每年一定超過兩萬度 你舊廠要新擴 或者你要蓋新廠比如台積電 未來可能有一廠 二廠 三廠 四廠 五廠還有相當的 相關其他的供應鏈也會進駐那你都要求到兩萬噸以上 他們都符合這個條件那你會不會供不應求 戰士水目前以剛巧的狀況來看 跟男子 |
transcript.whisperx[19].start |
452.587 |
transcript.whisperx[19].end |
477.039 |
transcript.whisperx[19].text |
如果全部的廠商用水通常用戰生水目前有這個供不應求的狀況是存在的我是特別針對這個所謂男子產業園區跟路族跟這個橋樓科學園區跟白浦未來白浦產業園區那麼多大型廠商的進駐你現在用這個條例以每年每三年來檢討一次而且還有五成的戰生水但你未來沒有辦法供應他如果違法怎麼辦 |
transcript.whisperx[20].start |
480.302 |
transcript.whisperx[20].end |
501.938 |
transcript.whisperx[20].text |
跟委員說明 就再生水的部分目前如果產業有這個需求我們會重新來加大再生水的一個供水的一個能量那你的能量就有限啊你剛才教男子我們努力原本是沒有原本是零我至於說才有7萬噸那7萬噸你可以符合未來他需求符合你法律規定的需求嗎的要求嗎對 要用5成以上 |
transcript.whisperx[21].start |
506.03 |
transcript.whisperx[21].end |
533.925 |
transcript.whisperx[21].text |
現在它的價格 我請教你再生水的每度大概多少錢那個以那個鳳山來講它大概是18塊18港橋大概是會到35塊35塊那很多的大廠都在港橋橋頭科學園區以及男子產業園區好 要30塊那你現在一般的供應用水一度多少錢一般的供應用水水價差不多12塊好 |
transcript.whisperx[22].start |
535.031 |
transcript.whisperx[22].end |
538.698 |
transcript.whisperx[22].text |
加上耗水費的14 零五個場上你會選擇什麼 |
transcript.whisperx[23].start |
544.226 |
transcript.whisperx[23].end |
573.411 |
transcript.whisperx[23].text |
那基本上這個耗水費是有針對於說不同的這個用戶的級距若是它回收率太低的話它的費率會更高有一千七百家用水大戶都是工業大戶對不對所以耗水費它對工業大戶也有產生去輸出力另外的它這個再生水的比例也符合這個也要按照這個規定那他們怎麼辦基本上你的供不應求啊市長 |
transcript.whisperx[24].start |
574.608 |
transcript.whisperx[24].end |
591.357 |
transcript.whisperx[24].text |
我們會第一個會請內政部加速那剛剛所提到的那個16座的這個再生水廠的建置之外除此之外因為他不是廠建完他就可以供水因為他要收集到都市的所謂的集中性 據我了解再生水廠的進度遠比他們設廠的進度還慢 |
transcript.whisperx[25].start |
594.278 |
transcript.whisperx[25].end |
610.264 |
transcript.whisperx[25].text |
他們用再生水的時候還沒有供水啊你們給他用未雨綢繆這個狀況如果不是因為我爭取才多了7萬噸否則你這個沒有辦法完成這個達成這個對高科技廠商或者這個用水大戶的這個再生水的供應 |
transcript.whisperx[26].start |
611.801 |
transcript.whisperx[26].end |
637.398 |
transcript.whisperx[26].text |
這部分我想請市長你協調一下這個這個內政部國路署協調一下這個園區管理局那個科學園區管理局相關於園區的治水防洪的作為應該有一個統一的主管機關由經濟部來督導來協調另外因為你們是治水專家嘛國科會不見得治水專家但是國科會 |
transcript.whisperx[27].start |
638.138 |
transcript.whisperx[27].end |
659.608 |
transcript.whisperx[27].text |
那所管的科學園區裡面的這個罰紅制也至關重要啊科學園區不能有淹水的問題啊所以你應該拉高層級由經濟部的這個水利專家經濟部水利署來針對各園區管理局科學園區另外針對這個再淹水的部分怎麼去檢討他的這個供應的問題另外這個 |
transcript.whisperx[28].start |
662.981 |
transcript.whisperx[28].end |
691.073 |
transcript.whisperx[28].text |
污水這個下水道啊污水下水道在內政部我也想請教一下過去都會區啊六都的都會區沒有問題但是六都裡面非都會區啊比方說我的選區是六都裡面高雄市裡面非都會區比方說從這個橋頭以北入竹永安這個彌陀子關比較海線的地方都沒有任何污水下水道的規劃啦這部分這個內政部有沒有什麼想法 |
transcript.whisperx[29].start |
692.233 |
transcript.whisperx[29].end |
717.802 |
transcript.whisperx[29].text |
都計區內我們大概就是依照那個各縣政府提報的計畫來配合來協助來以補助執行至於非都地區目前我們行政院也在討論如何對非都地區的這些聚落室來做一個處理這個目前行政院在研議當中你知道我也想在鹿竹有一個蓋一個這個再生水場但是他沒有污水跟雨水下水道系統他就沒有辦法蓋再生水場 |
transcript.whisperx[30].start |
720.394 |
transcript.whisperx[30].end |
749.193 |
transcript.whisperx[30].text |
這個部分我們回去再來檢討一下啦那當然這個有跟量的問題啦如果那個沾水場實在量很少的時候其實它是完全不符成本的它可能後來算在水價廠商用不起來那你要先建構好污水、雨水、下水道系統才能有足夠的量嘛那你看我的選區全部都是沒有任何污水、下水道的建設規劃甚至沒有開辦這部分中央要協調地方來提出計畫所以我們再跟高雄市我們再來討論好 謝謝 |
transcript.whisperx[31].start |
751.106 |
transcript.whisperx[31].end |
751.127 |
transcript.whisperx[31].text |
好 |