IVOD_ID |
159787 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/159787 |
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 |
2025-03-31T09:43:31+08:00 |
結束時間 |
2025-03-31T09:56:40+08:00 |
影片長度 |
00:13:09 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/22902bedf9a457e55322b1c91d031b2dab992d8b3314b746782ddb04f65b48d261eef51270615c565ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
陳亭妃 |
委員發言時間 |
09:43:31 - 09:56:40 |
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 |
8.99159375 |
transcript.pyannote[0].end |
11.48909375 |
transcript.pyannote[1].speaker |
SPEAKER_02 |
transcript.pyannote[1].start |
11.97846875 |
transcript.pyannote[1].end |
12.56909375 |
transcript.pyannote[2].speaker |
SPEAKER_00 |
transcript.pyannote[2].start |
20.63534375 |
transcript.pyannote[2].end |
21.36096875 |
transcript.pyannote[3].speaker |
SPEAKER_02 |
transcript.pyannote[3].start |
21.96846875 |
transcript.pyannote[3].end |
23.21721875 |
transcript.pyannote[4].speaker |
SPEAKER_02 |
transcript.pyannote[4].start |
23.47034375 |
transcript.pyannote[4].end |
26.23784375 |
transcript.pyannote[5].speaker |
SPEAKER_02 |
transcript.pyannote[5].start |
26.96346875 |
transcript.pyannote[5].end |
27.77346875 |
transcript.pyannote[6].speaker |
SPEAKER_02 |
transcript.pyannote[6].start |
28.06034375 |
transcript.pyannote[6].end |
30.79409375 |
transcript.pyannote[7].speaker |
SPEAKER_02 |
transcript.pyannote[7].start |
31.03034375 |
transcript.pyannote[7].end |
32.85284375 |
transcript.pyannote[8].speaker |
SPEAKER_02 |
transcript.pyannote[8].start |
33.37596875 |
transcript.pyannote[8].end |
35.09721875 |
transcript.pyannote[9].speaker |
SPEAKER_02 |
transcript.pyannote[9].start |
35.62034375 |
transcript.pyannote[9].end |
37.59471875 |
transcript.pyannote[10].speaker |
SPEAKER_02 |
transcript.pyannote[10].start |
38.26971875 |
transcript.pyannote[10].end |
40.04159375 |
transcript.pyannote[11].speaker |
SPEAKER_02 |
transcript.pyannote[11].start |
40.37909375 |
transcript.pyannote[11].end |
41.99909375 |
transcript.pyannote[12].speaker |
SPEAKER_02 |
transcript.pyannote[12].start |
42.47159375 |
transcript.pyannote[12].end |
43.23096875 |
transcript.pyannote[13].speaker |
SPEAKER_02 |
transcript.pyannote[13].start |
43.77096875 |
transcript.pyannote[13].end |
45.23909375 |
transcript.pyannote[14].speaker |
SPEAKER_02 |
transcript.pyannote[14].start |
45.61034375 |
transcript.pyannote[14].end |
47.95596875 |
transcript.pyannote[15].speaker |
SPEAKER_02 |
transcript.pyannote[15].start |
48.64784375 |
transcript.pyannote[15].end |
49.22159375 |
transcript.pyannote[16].speaker |
SPEAKER_02 |
transcript.pyannote[16].start |
49.93034375 |
transcript.pyannote[16].end |
51.14534375 |
transcript.pyannote[17].speaker |
SPEAKER_02 |
transcript.pyannote[17].start |
51.65159375 |
transcript.pyannote[17].end |
53.37284375 |
transcript.pyannote[18].speaker |
SPEAKER_02 |
transcript.pyannote[18].start |
53.67659375 |
transcript.pyannote[18].end |
54.14909375 |
transcript.pyannote[19].speaker |
SPEAKER_01 |
transcript.pyannote[19].start |
54.57096875 |
transcript.pyannote[19].end |
54.94221875 |
transcript.pyannote[20].speaker |
SPEAKER_02 |
transcript.pyannote[20].start |
55.04346875 |
transcript.pyannote[20].end |
55.76909375 |
transcript.pyannote[21].speaker |
SPEAKER_01 |
transcript.pyannote[21].start |
55.85346875 |
transcript.pyannote[21].end |
56.17409375 |
transcript.pyannote[22].speaker |
SPEAKER_02 |
transcript.pyannote[22].start |
56.42721875 |
transcript.pyannote[22].end |
57.64221875 |
transcript.pyannote[23].speaker |
SPEAKER_02 |
transcript.pyannote[23].start |
58.53659375 |
transcript.pyannote[23].end |
59.19471875 |
transcript.pyannote[24].speaker |
SPEAKER_02 |
transcript.pyannote[24].start |
59.92034375 |
transcript.pyannote[24].end |
63.02534375 |
transcript.pyannote[25].speaker |
SPEAKER_02 |
transcript.pyannote[25].start |
63.24471875 |
transcript.pyannote[25].end |
68.29034375 |
transcript.pyannote[26].speaker |
SPEAKER_02 |
transcript.pyannote[26].start |
68.54346875 |
transcript.pyannote[26].end |
69.52221875 |
transcript.pyannote[27].speaker |
SPEAKER_02 |
transcript.pyannote[27].start |
69.91034375 |
transcript.pyannote[27].end |
70.90596875 |
transcript.pyannote[28].speaker |
SPEAKER_02 |
transcript.pyannote[28].start |
71.32784375 |
transcript.pyannote[28].end |
73.62284375 |
transcript.pyannote[29].speaker |
SPEAKER_02 |
transcript.pyannote[29].start |
74.23034375 |
transcript.pyannote[29].end |
76.89659375 |
transcript.pyannote[30].speaker |
SPEAKER_02 |
transcript.pyannote[30].start |
77.79096875 |
transcript.pyannote[30].end |
82.83659375 |
transcript.pyannote[31].speaker |
SPEAKER_02 |
transcript.pyannote[31].start |
83.56221875 |
transcript.pyannote[31].end |
85.73909375 |
transcript.pyannote[32].speaker |
SPEAKER_02 |
transcript.pyannote[32].start |
86.81909375 |
transcript.pyannote[32].end |
88.23659375 |
transcript.pyannote[33].speaker |
SPEAKER_02 |
transcript.pyannote[33].start |
88.64159375 |
transcript.pyannote[33].end |
89.77221875 |
transcript.pyannote[34].speaker |
SPEAKER_02 |
transcript.pyannote[34].start |
89.89034375 |
transcript.pyannote[34].end |
92.69159375 |
transcript.pyannote[35].speaker |
SPEAKER_01 |
transcript.pyannote[35].start |
92.69159375 |
transcript.pyannote[35].end |
93.58596875 |
transcript.pyannote[36].speaker |
SPEAKER_02 |
transcript.pyannote[36].start |
93.29909375 |
transcript.pyannote[36].end |
94.36221875 |
transcript.pyannote[37].speaker |
SPEAKER_02 |
transcript.pyannote[37].start |
95.40846875 |
transcript.pyannote[37].end |
96.42096875 |
transcript.pyannote[38].speaker |
SPEAKER_02 |
transcript.pyannote[38].start |
97.34909375 |
transcript.pyannote[38].end |
100.69034375 |
transcript.pyannote[39].speaker |
SPEAKER_02 |
transcript.pyannote[39].start |
101.36534375 |
transcript.pyannote[39].end |
102.90096875 |
transcript.pyannote[40].speaker |
SPEAKER_02 |
transcript.pyannote[40].start |
103.66034375 |
transcript.pyannote[40].end |
104.31846875 |
transcript.pyannote[41].speaker |
SPEAKER_02 |
transcript.pyannote[41].start |
105.33096875 |
transcript.pyannote[41].end |
107.35596875 |
transcript.pyannote[42].speaker |
SPEAKER_02 |
transcript.pyannote[42].start |
108.33471875 |
transcript.pyannote[42].end |
109.85346875 |
transcript.pyannote[43].speaker |
SPEAKER_02 |
transcript.pyannote[43].start |
110.96721875 |
transcript.pyannote[43].end |
111.64221875 |
transcript.pyannote[44].speaker |
SPEAKER_02 |
transcript.pyannote[44].start |
112.23284375 |
transcript.pyannote[44].end |
114.62909375 |
transcript.pyannote[45].speaker |
SPEAKER_02 |
transcript.pyannote[45].start |
115.50659375 |
transcript.pyannote[45].end |
117.09284375 |
transcript.pyannote[46].speaker |
SPEAKER_02 |
transcript.pyannote[46].start |
118.30784375 |
transcript.pyannote[46].end |
120.01221875 |
transcript.pyannote[47].speaker |
SPEAKER_02 |
transcript.pyannote[47].start |
121.00784375 |
transcript.pyannote[47].end |
122.23971875 |
transcript.pyannote[48].speaker |
SPEAKER_02 |
transcript.pyannote[48].start |
123.48846875 |
transcript.pyannote[48].end |
124.26471875 |
transcript.pyannote[49].speaker |
SPEAKER_02 |
transcript.pyannote[49].start |
124.55159375 |
transcript.pyannote[49].end |
128.95596875 |
transcript.pyannote[50].speaker |
SPEAKER_02 |
transcript.pyannote[50].start |
129.79971875 |
transcript.pyannote[50].end |
131.16659375 |
transcript.pyannote[51].speaker |
SPEAKER_02 |
transcript.pyannote[51].start |
131.82471875 |
transcript.pyannote[51].end |
133.02284375 |
transcript.pyannote[52].speaker |
SPEAKER_02 |
transcript.pyannote[52].start |
134.08596875 |
transcript.pyannote[52].end |
135.90846875 |
transcript.pyannote[53].speaker |
SPEAKER_02 |
transcript.pyannote[53].start |
136.87034375 |
transcript.pyannote[53].end |
137.42721875 |
transcript.pyannote[54].speaker |
SPEAKER_02 |
transcript.pyannote[54].start |
137.56221875 |
transcript.pyannote[54].end |
138.27096875 |
transcript.pyannote[55].speaker |
SPEAKER_02 |
transcript.pyannote[55].start |
139.14846875 |
transcript.pyannote[55].end |
140.04284375 |
transcript.pyannote[56].speaker |
SPEAKER_02 |
transcript.pyannote[56].start |
140.29596875 |
transcript.pyannote[56].end |
141.32534375 |
transcript.pyannote[57].speaker |
SPEAKER_02 |
transcript.pyannote[57].start |
142.84409375 |
transcript.pyannote[57].end |
146.50596875 |
transcript.pyannote[58].speaker |
SPEAKER_02 |
transcript.pyannote[58].start |
147.13034375 |
transcript.pyannote[58].end |
152.17596875 |
transcript.pyannote[59].speaker |
SPEAKER_02 |
transcript.pyannote[59].start |
153.20534375 |
transcript.pyannote[59].end |
153.82971875 |
transcript.pyannote[60].speaker |
SPEAKER_02 |
transcript.pyannote[60].start |
154.16721875 |
transcript.pyannote[60].end |
158.03159375 |
transcript.pyannote[61].speaker |
SPEAKER_02 |
transcript.pyannote[61].start |
159.34784375 |
transcript.pyannote[61].end |
163.02659375 |
transcript.pyannote[62].speaker |
SPEAKER_02 |
transcript.pyannote[62].start |
163.63409375 |
transcript.pyannote[62].end |
167.51534375 |
transcript.pyannote[63].speaker |
SPEAKER_02 |
transcript.pyannote[63].start |
167.75159375 |
transcript.pyannote[63].end |
169.54034375 |
transcript.pyannote[64].speaker |
SPEAKER_02 |
transcript.pyannote[64].start |
169.65846875 |
transcript.pyannote[64].end |
171.44721875 |
transcript.pyannote[65].speaker |
SPEAKER_02 |
transcript.pyannote[65].start |
172.91534375 |
transcript.pyannote[65].end |
175.02471875 |
transcript.pyannote[66].speaker |
SPEAKER_02 |
transcript.pyannote[66].start |
176.05409375 |
transcript.pyannote[66].end |
176.64471875 |
transcript.pyannote[67].speaker |
SPEAKER_02 |
transcript.pyannote[67].start |
177.40409375 |
transcript.pyannote[67].end |
178.19721875 |
transcript.pyannote[68].speaker |
SPEAKER_02 |
transcript.pyannote[68].start |
179.26034375 |
transcript.pyannote[68].end |
180.07034375 |
transcript.pyannote[69].speaker |
SPEAKER_02 |
transcript.pyannote[69].start |
180.18846875 |
transcript.pyannote[69].end |
181.33596875 |
transcript.pyannote[70].speaker |
SPEAKER_02 |
transcript.pyannote[70].start |
182.71971875 |
transcript.pyannote[70].end |
183.27659375 |
transcript.pyannote[71].speaker |
SPEAKER_02 |
transcript.pyannote[71].start |
183.88409375 |
transcript.pyannote[71].end |
186.04409375 |
transcript.pyannote[72].speaker |
SPEAKER_02 |
transcript.pyannote[72].start |
186.55034375 |
transcript.pyannote[72].end |
188.52471875 |
transcript.pyannote[73].speaker |
SPEAKER_02 |
transcript.pyannote[73].start |
189.60471875 |
transcript.pyannote[73].end |
191.62971875 |
transcript.pyannote[74].speaker |
SPEAKER_02 |
transcript.pyannote[74].start |
192.38909375 |
transcript.pyannote[74].end |
200.23596875 |
transcript.pyannote[75].speaker |
SPEAKER_02 |
transcript.pyannote[75].start |
200.97846875 |
transcript.pyannote[75].end |
201.63659375 |
transcript.pyannote[76].speaker |
SPEAKER_02 |
transcript.pyannote[76].start |
202.02471875 |
transcript.pyannote[76].end |
203.27346875 |
transcript.pyannote[77].speaker |
SPEAKER_02 |
transcript.pyannote[77].start |
204.16784375 |
transcript.pyannote[77].end |
206.19284375 |
transcript.pyannote[78].speaker |
SPEAKER_02 |
transcript.pyannote[78].start |
206.51346875 |
transcript.pyannote[78].end |
207.37409375 |
transcript.pyannote[79].speaker |
SPEAKER_02 |
transcript.pyannote[79].start |
208.01534375 |
transcript.pyannote[79].end |
208.65659375 |
transcript.pyannote[80].speaker |
SPEAKER_02 |
transcript.pyannote[80].start |
210.00659375 |
transcript.pyannote[80].end |
210.54659375 |
transcript.pyannote[81].speaker |
SPEAKER_02 |
transcript.pyannote[81].start |
211.67721875 |
transcript.pyannote[81].end |
214.32659375 |
transcript.pyannote[82].speaker |
SPEAKER_02 |
transcript.pyannote[82].start |
215.10284375 |
transcript.pyannote[82].end |
216.19971875 |
transcript.pyannote[83].speaker |
SPEAKER_02 |
transcript.pyannote[83].start |
217.46534375 |
transcript.pyannote[83].end |
218.47784375 |
transcript.pyannote[84].speaker |
SPEAKER_02 |
transcript.pyannote[84].start |
219.32159375 |
transcript.pyannote[84].end |
220.53659375 |
transcript.pyannote[85].speaker |
SPEAKER_02 |
transcript.pyannote[85].start |
220.65471875 |
transcript.pyannote[85].end |
221.17784375 |
transcript.pyannote[86].speaker |
SPEAKER_00 |
transcript.pyannote[86].start |
222.96659375 |
transcript.pyannote[86].end |
231.43784375 |
transcript.pyannote[87].speaker |
SPEAKER_00 |
transcript.pyannote[87].start |
231.47159375 |
transcript.pyannote[87].end |
234.00284375 |
transcript.pyannote[88].speaker |
SPEAKER_00 |
transcript.pyannote[88].start |
234.27284375 |
transcript.pyannote[88].end |
235.47096875 |
transcript.pyannote[89].speaker |
SPEAKER_00 |
transcript.pyannote[89].start |
235.89284375 |
transcript.pyannote[89].end |
238.50846875 |
transcript.pyannote[90].speaker |
SPEAKER_00 |
transcript.pyannote[90].start |
238.98096875 |
transcript.pyannote[90].end |
239.95971875 |
transcript.pyannote[91].speaker |
SPEAKER_00 |
transcript.pyannote[91].start |
240.12846875 |
transcript.pyannote[91].end |
244.61721875 |
transcript.pyannote[92].speaker |
SPEAKER_00 |
transcript.pyannote[92].start |
244.95471875 |
transcript.pyannote[92].end |
250.97909375 |
transcript.pyannote[93].speaker |
SPEAKER_00 |
transcript.pyannote[93].start |
251.29971875 |
transcript.pyannote[93].end |
252.41346875 |
transcript.pyannote[94].speaker |
SPEAKER_00 |
transcript.pyannote[94].start |
253.05471875 |
transcript.pyannote[94].end |
256.59846875 |
transcript.pyannote[95].speaker |
SPEAKER_00 |
transcript.pyannote[95].start |
256.90221875 |
transcript.pyannote[95].end |
279.97034375 |
transcript.pyannote[96].speaker |
SPEAKER_02 |
transcript.pyannote[96].start |
279.51471875 |
transcript.pyannote[96].end |
281.75909375 |
transcript.pyannote[97].speaker |
SPEAKER_02 |
transcript.pyannote[97].start |
282.33284375 |
transcript.pyannote[97].end |
283.31159375 |
transcript.pyannote[98].speaker |
SPEAKER_02 |
transcript.pyannote[98].start |
283.86846875 |
transcript.pyannote[98].end |
284.47596875 |
transcript.pyannote[99].speaker |
SPEAKER_02 |
transcript.pyannote[99].start |
285.26909375 |
transcript.pyannote[99].end |
287.46284375 |
transcript.pyannote[100].speaker |
SPEAKER_02 |
transcript.pyannote[100].start |
288.10409375 |
transcript.pyannote[100].end |
289.67346875 |
transcript.pyannote[101].speaker |
SPEAKER_02 |
transcript.pyannote[101].start |
290.01096875 |
transcript.pyannote[101].end |
291.12471875 |
transcript.pyannote[102].speaker |
SPEAKER_02 |
transcript.pyannote[102].start |
291.69846875 |
transcript.pyannote[102].end |
292.37346875 |
transcript.pyannote[103].speaker |
SPEAKER_02 |
transcript.pyannote[103].start |
292.81221875 |
transcript.pyannote[103].end |
294.97221875 |
transcript.pyannote[104].speaker |
SPEAKER_02 |
transcript.pyannote[104].start |
295.27596875 |
transcript.pyannote[104].end |
299.02221875 |
transcript.pyannote[105].speaker |
SPEAKER_02 |
transcript.pyannote[105].start |
299.61284375 |
transcript.pyannote[105].end |
301.68846875 |
transcript.pyannote[106].speaker |
SPEAKER_02 |
transcript.pyannote[106].start |
301.94159375 |
transcript.pyannote[106].end |
302.56596875 |
transcript.pyannote[107].speaker |
SPEAKER_02 |
transcript.pyannote[107].start |
303.44346875 |
transcript.pyannote[107].end |
306.12659375 |
transcript.pyannote[108].speaker |
SPEAKER_02 |
transcript.pyannote[108].start |
306.63284375 |
transcript.pyannote[108].end |
307.83096875 |
transcript.pyannote[109].speaker |
SPEAKER_02 |
transcript.pyannote[109].start |
308.59034375 |
transcript.pyannote[109].end |
313.43346875 |
transcript.pyannote[110].speaker |
SPEAKER_02 |
transcript.pyannote[110].start |
314.04096875 |
transcript.pyannote[110].end |
314.59784375 |
transcript.pyannote[111].speaker |
SPEAKER_02 |
transcript.pyannote[111].start |
315.34034375 |
transcript.pyannote[111].end |
317.26409375 |
transcript.pyannote[112].speaker |
SPEAKER_02 |
transcript.pyannote[112].start |
317.88846875 |
transcript.pyannote[112].end |
318.68159375 |
transcript.pyannote[113].speaker |
SPEAKER_02 |
transcript.pyannote[113].start |
319.08659375 |
transcript.pyannote[113].end |
320.53784375 |
transcript.pyannote[114].speaker |
SPEAKER_02 |
transcript.pyannote[114].start |
320.89221875 |
transcript.pyannote[114].end |
321.31409375 |
transcript.pyannote[115].speaker |
SPEAKER_02 |
transcript.pyannote[115].start |
322.19159375 |
transcript.pyannote[115].end |
322.74846875 |
transcript.pyannote[116].speaker |
SPEAKER_02 |
transcript.pyannote[116].start |
322.90034375 |
transcript.pyannote[116].end |
324.19971875 |
transcript.pyannote[117].speaker |
SPEAKER_02 |
transcript.pyannote[117].start |
324.53721875 |
transcript.pyannote[117].end |
325.31346875 |
transcript.pyannote[118].speaker |
SPEAKER_02 |
transcript.pyannote[118].start |
325.53284375 |
transcript.pyannote[118].end |
328.57034375 |
transcript.pyannote[119].speaker |
SPEAKER_02 |
transcript.pyannote[119].start |
329.22846875 |
transcript.pyannote[119].end |
329.88659375 |
transcript.pyannote[120].speaker |
SPEAKER_02 |
transcript.pyannote[120].start |
330.69659375 |
transcript.pyannote[120].end |
331.37159375 |
transcript.pyannote[121].speaker |
SPEAKER_02 |
transcript.pyannote[121].start |
332.01284375 |
transcript.pyannote[121].end |
333.78471875 |
transcript.pyannote[122].speaker |
SPEAKER_02 |
transcript.pyannote[122].start |
334.20659375 |
transcript.pyannote[122].end |
336.83909375 |
transcript.pyannote[123].speaker |
SPEAKER_00 |
transcript.pyannote[123].start |
337.41284375 |
transcript.pyannote[123].end |
341.39534375 |
transcript.pyannote[124].speaker |
SPEAKER_00 |
transcript.pyannote[124].start |
342.00284375 |
transcript.pyannote[124].end |
355.33409375 |
transcript.pyannote[125].speaker |
SPEAKER_02 |
transcript.pyannote[125].start |
355.46909375 |
transcript.pyannote[125].end |
356.75159375 |
transcript.pyannote[126].speaker |
SPEAKER_02 |
transcript.pyannote[126].start |
357.56159375 |
transcript.pyannote[126].end |
360.27846875 |
transcript.pyannote[127].speaker |
SPEAKER_02 |
transcript.pyannote[127].start |
361.00409375 |
transcript.pyannote[127].end |
362.69159375 |
transcript.pyannote[128].speaker |
SPEAKER_02 |
transcript.pyannote[128].start |
362.79284375 |
transcript.pyannote[128].end |
364.42971875 |
transcript.pyannote[129].speaker |
SPEAKER_02 |
transcript.pyannote[129].start |
364.85159375 |
transcript.pyannote[129].end |
367.77096875 |
transcript.pyannote[130].speaker |
SPEAKER_02 |
transcript.pyannote[130].start |
368.05784375 |
transcript.pyannote[130].end |
368.61471875 |
transcript.pyannote[131].speaker |
SPEAKER_02 |
transcript.pyannote[131].start |
369.50909375 |
transcript.pyannote[131].end |
370.47096875 |
transcript.pyannote[132].speaker |
SPEAKER_02 |
transcript.pyannote[132].start |
371.09534375 |
transcript.pyannote[132].end |
372.04034375 |
transcript.pyannote[133].speaker |
SPEAKER_02 |
transcript.pyannote[133].start |
373.17096875 |
transcript.pyannote[133].end |
374.43659375 |
transcript.pyannote[134].speaker |
SPEAKER_02 |
transcript.pyannote[134].start |
374.92596875 |
transcript.pyannote[134].end |
377.13659375 |
transcript.pyannote[135].speaker |
SPEAKER_02 |
transcript.pyannote[135].start |
377.69346875 |
transcript.pyannote[135].end |
386.18159375 |
transcript.pyannote[136].speaker |
SPEAKER_02 |
transcript.pyannote[136].start |
386.95784375 |
transcript.pyannote[136].end |
390.36659375 |
transcript.pyannote[137].speaker |
SPEAKER_01 |
transcript.pyannote[137].start |
390.36659375 |
transcript.pyannote[137].end |
391.00784375 |
transcript.pyannote[138].speaker |
SPEAKER_02 |
transcript.pyannote[138].start |
390.67034375 |
transcript.pyannote[138].end |
401.09909375 |
transcript.pyannote[139].speaker |
SPEAKER_02 |
transcript.pyannote[139].start |
401.33534375 |
transcript.pyannote[139].end |
403.19159375 |
transcript.pyannote[140].speaker |
SPEAKER_02 |
transcript.pyannote[140].start |
403.69784375 |
transcript.pyannote[140].end |
405.72284375 |
transcript.pyannote[141].speaker |
SPEAKER_02 |
transcript.pyannote[141].start |
406.51596875 |
transcript.pyannote[141].end |
406.97159375 |
transcript.pyannote[142].speaker |
SPEAKER_02 |
transcript.pyannote[142].start |
407.42721875 |
transcript.pyannote[142].end |
408.52409375 |
transcript.pyannote[143].speaker |
SPEAKER_02 |
transcript.pyannote[143].start |
408.77721875 |
transcript.pyannote[143].end |
410.41409375 |
transcript.pyannote[144].speaker |
SPEAKER_02 |
transcript.pyannote[144].start |
410.56596875 |
transcript.pyannote[144].end |
412.21971875 |
transcript.pyannote[145].speaker |
SPEAKER_02 |
transcript.pyannote[145].start |
412.60784375 |
transcript.pyannote[145].end |
414.53159375 |
transcript.pyannote[146].speaker |
SPEAKER_01 |
transcript.pyannote[146].start |
414.97034375 |
transcript.pyannote[146].end |
415.22346875 |
transcript.pyannote[147].speaker |
SPEAKER_02 |
transcript.pyannote[147].start |
415.51034375 |
transcript.pyannote[147].end |
418.31159375 |
transcript.pyannote[148].speaker |
SPEAKER_02 |
transcript.pyannote[148].start |
418.53096875 |
transcript.pyannote[148].end |
421.09596875 |
transcript.pyannote[149].speaker |
SPEAKER_02 |
transcript.pyannote[149].start |
421.41659375 |
transcript.pyannote[149].end |
422.56409375 |
transcript.pyannote[150].speaker |
SPEAKER_02 |
transcript.pyannote[150].start |
423.98159375 |
transcript.pyannote[150].end |
424.74096875 |
transcript.pyannote[151].speaker |
SPEAKER_02 |
transcript.pyannote[151].start |
425.83784375 |
transcript.pyannote[151].end |
426.32721875 |
transcript.pyannote[152].speaker |
SPEAKER_02 |
transcript.pyannote[152].start |
426.88409375 |
transcript.pyannote[152].end |
428.28471875 |
transcript.pyannote[153].speaker |
SPEAKER_00 |
transcript.pyannote[153].start |
429.82034375 |
transcript.pyannote[153].end |
432.72284375 |
transcript.pyannote[154].speaker |
SPEAKER_02 |
transcript.pyannote[154].start |
431.05221875 |
transcript.pyannote[154].end |
431.86221875 |
transcript.pyannote[155].speaker |
SPEAKER_02 |
transcript.pyannote[155].start |
432.94221875 |
transcript.pyannote[155].end |
433.65096875 |
transcript.pyannote[156].speaker |
SPEAKER_02 |
transcript.pyannote[156].start |
434.62971875 |
transcript.pyannote[156].end |
437.41409375 |
transcript.pyannote[157].speaker |
SPEAKER_02 |
transcript.pyannote[157].start |
438.54471875 |
transcript.pyannote[157].end |
439.96221875 |
transcript.pyannote[158].speaker |
SPEAKER_02 |
transcript.pyannote[158].start |
440.13096875 |
transcript.pyannote[158].end |
441.24471875 |
transcript.pyannote[159].speaker |
SPEAKER_02 |
transcript.pyannote[159].start |
441.95346875 |
transcript.pyannote[159].end |
443.18534375 |
transcript.pyannote[160].speaker |
SPEAKER_02 |
transcript.pyannote[160].start |
444.28221875 |
transcript.pyannote[160].end |
445.51409375 |
transcript.pyannote[161].speaker |
SPEAKER_02 |
transcript.pyannote[161].start |
445.68284375 |
transcript.pyannote[161].end |
447.31971875 |
transcript.pyannote[162].speaker |
SPEAKER_02 |
transcript.pyannote[162].start |
448.66971875 |
transcript.pyannote[162].end |
450.18846875 |
transcript.pyannote[163].speaker |
SPEAKER_02 |
transcript.pyannote[163].start |
451.45409375 |
transcript.pyannote[163].end |
452.90534375 |
transcript.pyannote[164].speaker |
SPEAKER_01 |
transcript.pyannote[164].start |
453.46221875 |
transcript.pyannote[164].end |
453.76596875 |
transcript.pyannote[165].speaker |
SPEAKER_02 |
transcript.pyannote[165].start |
454.01909375 |
transcript.pyannote[165].end |
454.72784375 |
transcript.pyannote[166].speaker |
SPEAKER_02 |
transcript.pyannote[166].start |
454.93034375 |
transcript.pyannote[166].end |
457.14096875 |
transcript.pyannote[167].speaker |
SPEAKER_02 |
transcript.pyannote[167].start |
457.71471875 |
transcript.pyannote[167].end |
460.19534375 |
transcript.pyannote[168].speaker |
SPEAKER_02 |
transcript.pyannote[168].start |
461.02221875 |
transcript.pyannote[168].end |
461.54534375 |
transcript.pyannote[169].speaker |
SPEAKER_02 |
transcript.pyannote[169].start |
461.93346875 |
transcript.pyannote[169].end |
464.02596875 |
transcript.pyannote[170].speaker |
SPEAKER_02 |
transcript.pyannote[170].start |
465.24096875 |
transcript.pyannote[170].end |
468.80159375 |
transcript.pyannote[171].speaker |
SPEAKER_02 |
transcript.pyannote[171].start |
469.44284375 |
transcript.pyannote[171].end |
470.75909375 |
transcript.pyannote[172].speaker |
SPEAKER_02 |
transcript.pyannote[172].start |
471.28221875 |
transcript.pyannote[172].end |
472.34534375 |
transcript.pyannote[173].speaker |
SPEAKER_02 |
transcript.pyannote[173].start |
473.54346875 |
transcript.pyannote[173].end |
474.35346875 |
transcript.pyannote[174].speaker |
SPEAKER_02 |
transcript.pyannote[174].start |
475.04534375 |
transcript.pyannote[174].end |
476.71596875 |
transcript.pyannote[175].speaker |
SPEAKER_02 |
transcript.pyannote[175].start |
477.71159375 |
transcript.pyannote[175].end |
478.63971875 |
transcript.pyannote[176].speaker |
SPEAKER_02 |
transcript.pyannote[176].start |
479.75346875 |
transcript.pyannote[176].end |
481.96409375 |
transcript.pyannote[177].speaker |
SPEAKER_02 |
transcript.pyannote[177].start |
482.21721875 |
transcript.pyannote[177].end |
484.17471875 |
transcript.pyannote[178].speaker |
SPEAKER_02 |
transcript.pyannote[178].start |
484.46159375 |
transcript.pyannote[178].end |
485.64284375 |
transcript.pyannote[179].speaker |
SPEAKER_02 |
transcript.pyannote[179].start |
487.98846875 |
transcript.pyannote[179].end |
497.21909375 |
transcript.pyannote[180].speaker |
SPEAKER_02 |
transcript.pyannote[180].start |
498.55221875 |
transcript.pyannote[180].end |
506.88846875 |
transcript.pyannote[181].speaker |
SPEAKER_02 |
transcript.pyannote[181].start |
509.20034375 |
transcript.pyannote[181].end |
509.97659375 |
transcript.pyannote[182].speaker |
SPEAKER_02 |
transcript.pyannote[182].start |
510.34784375 |
transcript.pyannote[182].end |
511.22534375 |
transcript.pyannote[183].speaker |
SPEAKER_02 |
transcript.pyannote[183].start |
511.46159375 |
transcript.pyannote[183].end |
513.41909375 |
transcript.pyannote[184].speaker |
SPEAKER_02 |
transcript.pyannote[184].start |
513.79034375 |
transcript.pyannote[184].end |
514.68471875 |
transcript.pyannote[185].speaker |
SPEAKER_02 |
transcript.pyannote[185].start |
514.90409375 |
transcript.pyannote[185].end |
515.30909375 |
transcript.pyannote[186].speaker |
SPEAKER_02 |
transcript.pyannote[186].start |
515.78159375 |
transcript.pyannote[186].end |
516.74346875 |
transcript.pyannote[187].speaker |
SPEAKER_02 |
transcript.pyannote[187].start |
517.36784375 |
transcript.pyannote[187].end |
518.73471875 |
transcript.pyannote[188].speaker |
SPEAKER_02 |
transcript.pyannote[188].start |
519.39284375 |
transcript.pyannote[188].end |
520.81034375 |
transcript.pyannote[189].speaker |
SPEAKER_02 |
transcript.pyannote[189].start |
522.56534375 |
transcript.pyannote[189].end |
524.79284375 |
transcript.pyannote[190].speaker |
SPEAKER_02 |
transcript.pyannote[190].start |
524.96159375 |
transcript.pyannote[190].end |
525.45096875 |
transcript.pyannote[191].speaker |
SPEAKER_02 |
transcript.pyannote[191].start |
526.27784375 |
transcript.pyannote[191].end |
529.26471875 |
transcript.pyannote[192].speaker |
SPEAKER_02 |
transcript.pyannote[192].start |
529.48409375 |
transcript.pyannote[192].end |
530.64846875 |
transcript.pyannote[193].speaker |
SPEAKER_02 |
transcript.pyannote[193].start |
530.68221875 |
transcript.pyannote[193].end |
531.44159375 |
transcript.pyannote[194].speaker |
SPEAKER_02 |
transcript.pyannote[194].start |
532.04909375 |
transcript.pyannote[194].end |
532.40346875 |
transcript.pyannote[195].speaker |
SPEAKER_02 |
transcript.pyannote[195].start |
532.79159375 |
transcript.pyannote[195].end |
533.82096875 |
transcript.pyannote[196].speaker |
SPEAKER_02 |
transcript.pyannote[196].start |
535.10346875 |
transcript.pyannote[196].end |
536.04846875 |
transcript.pyannote[197].speaker |
SPEAKER_02 |
transcript.pyannote[197].start |
537.02721875 |
transcript.pyannote[197].end |
538.03971875 |
transcript.pyannote[198].speaker |
SPEAKER_02 |
transcript.pyannote[198].start |
538.25909375 |
transcript.pyannote[198].end |
544.58721875 |
transcript.pyannote[199].speaker |
SPEAKER_02 |
transcript.pyannote[199].start |
545.11034375 |
transcript.pyannote[199].end |
553.44659375 |
transcript.pyannote[200].speaker |
SPEAKER_02 |
transcript.pyannote[200].start |
553.88534375 |
transcript.pyannote[200].end |
560.02784375 |
transcript.pyannote[201].speaker |
SPEAKER_02 |
transcript.pyannote[201].start |
560.80409375 |
transcript.pyannote[201].end |
561.54659375 |
transcript.pyannote[202].speaker |
SPEAKER_02 |
transcript.pyannote[202].start |
562.03596875 |
transcript.pyannote[202].end |
562.79534375 |
transcript.pyannote[203].speaker |
SPEAKER_02 |
transcript.pyannote[203].start |
563.11596875 |
transcript.pyannote[203].end |
565.95096875 |
transcript.pyannote[204].speaker |
SPEAKER_02 |
transcript.pyannote[204].start |
566.82846875 |
transcript.pyannote[204].end |
569.12346875 |
transcript.pyannote[205].speaker |
SPEAKER_02 |
transcript.pyannote[205].start |
569.71409375 |
transcript.pyannote[205].end |
570.74346875 |
transcript.pyannote[206].speaker |
SPEAKER_02 |
transcript.pyannote[206].start |
571.38471875 |
transcript.pyannote[206].end |
572.61659375 |
transcript.pyannote[207].speaker |
SPEAKER_00 |
transcript.pyannote[207].start |
573.88221875 |
transcript.pyannote[207].end |
575.82284375 |
transcript.pyannote[208].speaker |
SPEAKER_00 |
transcript.pyannote[208].start |
577.10534375 |
transcript.pyannote[208].end |
600.88221875 |
transcript.pyannote[209].speaker |
SPEAKER_02 |
transcript.pyannote[209].start |
599.46471875 |
transcript.pyannote[209].end |
602.51909375 |
transcript.pyannote[210].speaker |
SPEAKER_02 |
transcript.pyannote[210].start |
603.16034375 |
transcript.pyannote[210].end |
614.58471875 |
transcript.pyannote[211].speaker |
SPEAKER_02 |
transcript.pyannote[211].start |
615.66471875 |
transcript.pyannote[211].end |
625.87409375 |
transcript.pyannote[212].speaker |
SPEAKER_02 |
transcript.pyannote[212].start |
628.01721875 |
transcript.pyannote[212].end |
630.07596875 |
transcript.pyannote[213].speaker |
SPEAKER_02 |
transcript.pyannote[213].start |
630.71721875 |
transcript.pyannote[213].end |
631.52721875 |
transcript.pyannote[214].speaker |
SPEAKER_02 |
transcript.pyannote[214].start |
631.78034375 |
transcript.pyannote[214].end |
632.57346875 |
transcript.pyannote[215].speaker |
SPEAKER_02 |
transcript.pyannote[215].start |
634.51409375 |
transcript.pyannote[215].end |
635.20596875 |
transcript.pyannote[216].speaker |
SPEAKER_02 |
transcript.pyannote[216].start |
635.72909375 |
transcript.pyannote[216].end |
636.47159375 |
transcript.pyannote[217].speaker |
SPEAKER_02 |
transcript.pyannote[217].start |
638.51346875 |
transcript.pyannote[217].end |
650.19096875 |
transcript.pyannote[218].speaker |
SPEAKER_02 |
transcript.pyannote[218].start |
650.73096875 |
transcript.pyannote[218].end |
652.41846875 |
transcript.pyannote[219].speaker |
SPEAKER_02 |
transcript.pyannote[219].start |
655.05096875 |
transcript.pyannote[219].end |
656.35034375 |
transcript.pyannote[220].speaker |
SPEAKER_02 |
transcript.pyannote[220].start |
656.90721875 |
transcript.pyannote[220].end |
657.46409375 |
transcript.pyannote[221].speaker |
SPEAKER_02 |
transcript.pyannote[221].start |
658.25721875 |
transcript.pyannote[221].end |
659.57346875 |
transcript.pyannote[222].speaker |
SPEAKER_02 |
transcript.pyannote[222].start |
662.07096875 |
transcript.pyannote[222].end |
662.61096875 |
transcript.pyannote[223].speaker |
SPEAKER_02 |
transcript.pyannote[223].start |
663.84284375 |
transcript.pyannote[223].end |
664.75409375 |
transcript.pyannote[224].speaker |
SPEAKER_02 |
transcript.pyannote[224].start |
665.36159375 |
transcript.pyannote[224].end |
667.16721875 |
transcript.pyannote[225].speaker |
SPEAKER_02 |
transcript.pyannote[225].start |
667.63971875 |
transcript.pyannote[225].end |
668.26409375 |
transcript.pyannote[226].speaker |
SPEAKER_02 |
transcript.pyannote[226].start |
669.10784375 |
transcript.pyannote[226].end |
669.74909375 |
transcript.pyannote[227].speaker |
SPEAKER_02 |
transcript.pyannote[227].start |
671.77409375 |
transcript.pyannote[227].end |
675.62159375 |
transcript.pyannote[228].speaker |
SPEAKER_02 |
transcript.pyannote[228].start |
676.68471875 |
transcript.pyannote[228].end |
679.38471875 |
transcript.pyannote[229].speaker |
SPEAKER_00 |
transcript.pyannote[229].start |
677.98409375 |
transcript.pyannote[229].end |
678.42284375 |
transcript.pyannote[230].speaker |
SPEAKER_00 |
transcript.pyannote[230].start |
679.38471875 |
transcript.pyannote[230].end |
682.69221875 |
transcript.pyannote[231].speaker |
SPEAKER_00 |
transcript.pyannote[231].start |
682.99596875 |
transcript.pyannote[231].end |
683.02971875 |
transcript.pyannote[232].speaker |
SPEAKER_00 |
transcript.pyannote[232].start |
683.04659375 |
transcript.pyannote[232].end |
689.22284375 |
transcript.pyannote[233].speaker |
SPEAKER_00 |
transcript.pyannote[233].start |
689.86409375 |
transcript.pyannote[233].end |
708.88221875 |
transcript.pyannote[234].speaker |
SPEAKER_02 |
transcript.pyannote[234].start |
709.16909375 |
transcript.pyannote[234].end |
711.10971875 |
transcript.pyannote[235].speaker |
SPEAKER_02 |
transcript.pyannote[235].start |
711.71721875 |
transcript.pyannote[235].end |
714.55221875 |
transcript.pyannote[236].speaker |
SPEAKER_02 |
transcript.pyannote[236].start |
716.10471875 |
transcript.pyannote[236].end |
717.72471875 |
transcript.pyannote[237].speaker |
SPEAKER_02 |
transcript.pyannote[237].start |
717.74159375 |
transcript.pyannote[237].end |
719.02409375 |
transcript.pyannote[238].speaker |
SPEAKER_02 |
transcript.pyannote[238].start |
719.90159375 |
transcript.pyannote[238].end |
721.45409375 |
transcript.pyannote[239].speaker |
SPEAKER_02 |
transcript.pyannote[239].start |
722.12909375 |
transcript.pyannote[239].end |
722.88846875 |
transcript.pyannote[240].speaker |
SPEAKER_02 |
transcript.pyannote[240].start |
723.05721875 |
transcript.pyannote[240].end |
723.83346875 |
transcript.pyannote[241].speaker |
SPEAKER_02 |
transcript.pyannote[241].start |
724.69409375 |
transcript.pyannote[241].end |
725.35221875 |
transcript.pyannote[242].speaker |
SPEAKER_02 |
transcript.pyannote[242].start |
726.16221875 |
transcript.pyannote[242].end |
729.67221875 |
transcript.pyannote[243].speaker |
SPEAKER_02 |
transcript.pyannote[243].start |
732.35534375 |
transcript.pyannote[243].end |
733.53659375 |
transcript.pyannote[244].speaker |
SPEAKER_02 |
transcript.pyannote[244].start |
734.44784375 |
transcript.pyannote[244].end |
737.06346875 |
transcript.pyannote[245].speaker |
SPEAKER_02 |
transcript.pyannote[245].start |
737.19846875 |
transcript.pyannote[245].end |
742.59846875 |
transcript.pyannote[246].speaker |
SPEAKER_02 |
transcript.pyannote[246].start |
743.71221875 |
transcript.pyannote[246].end |
744.92721875 |
transcript.pyannote[247].speaker |
SPEAKER_02 |
transcript.pyannote[247].start |
746.12534375 |
transcript.pyannote[247].end |
748.31909375 |
transcript.pyannote[248].speaker |
SPEAKER_02 |
transcript.pyannote[248].start |
749.61846875 |
transcript.pyannote[248].end |
754.44471875 |
transcript.pyannote[249].speaker |
SPEAKER_02 |
transcript.pyannote[249].start |
755.55846875 |
transcript.pyannote[249].end |
756.87471875 |
transcript.pyannote[250].speaker |
SPEAKER_02 |
transcript.pyannote[250].start |
757.53284375 |
transcript.pyannote[250].end |
758.24159375 |
transcript.pyannote[251].speaker |
SPEAKER_02 |
transcript.pyannote[251].start |
758.41034375 |
transcript.pyannote[251].end |
762.71346875 |
transcript.pyannote[252].speaker |
SPEAKER_02 |
transcript.pyannote[252].start |
763.99596875 |
transcript.pyannote[252].end |
766.94909375 |
transcript.pyannote[253].speaker |
SPEAKER_02 |
transcript.pyannote[253].start |
768.04596875 |
transcript.pyannote[253].end |
770.00346875 |
transcript.pyannote[254].speaker |
SPEAKER_02 |
transcript.pyannote[254].start |
771.60659375 |
transcript.pyannote[254].end |
772.73721875 |
transcript.pyannote[255].speaker |
SPEAKER_02 |
transcript.pyannote[255].start |
773.20971875 |
transcript.pyannote[255].end |
775.69034375 |
transcript.pyannote[256].speaker |
SPEAKER_02 |
transcript.pyannote[256].start |
775.96034375 |
transcript.pyannote[256].end |
776.83784375 |
transcript.pyannote[257].speaker |
SPEAKER_02 |
transcript.pyannote[257].start |
777.74909375 |
transcript.pyannote[257].end |
779.38596875 |
transcript.pyannote[258].speaker |
SPEAKER_02 |
transcript.pyannote[258].start |
779.75721875 |
transcript.pyannote[258].end |
782.40659375 |
transcript.pyannote[259].speaker |
SPEAKER_02 |
transcript.pyannote[259].start |
782.77784375 |
transcript.pyannote[259].end |
785.15721875 |
transcript.pyannote[260].speaker |
SPEAKER_02 |
transcript.pyannote[260].start |
786.49034375 |
transcript.pyannote[260].end |
786.92909375 |
transcript.pyannote[261].speaker |
SPEAKER_00 |
transcript.pyannote[261].start |
787.04721875 |
transcript.pyannote[261].end |
788.11034375 |
transcript.pyannote[262].speaker |
SPEAKER_02 |
transcript.pyannote[262].start |
788.22846875 |
transcript.pyannote[262].end |
788.92034375 |
transcript.pyannote[263].speaker |
SPEAKER_02 |
transcript.pyannote[263].start |
788.97096875 |
transcript.pyannote[263].end |
789.37596875 |
transcript.whisperx[0].start |
8.991 |
transcript.whisperx[0].end |
12.553 |
transcript.whisperx[0].text |
謝謝我們請次長來次長委員好次長上一次質詢的時候是署長一下子才這兩三個禮拜之間就變成次長了那第一個問題又是您最在行的 |
transcript.whisperx[1].start |
38.311 |
transcript.whisperx[1].end |
52.863 |
transcript.whisperx[1].text |
因為從抗旱也好或是水利工程也好對你來講這是你最專業的也是一路來從基層一直上來可是專業歸專業沒錢也沒辦法辦事對不對是市長是這是很敏感的 |
transcript.whisperx[2].start |
58.598 |
transcript.whisperx[2].end |
85.544 |
transcript.whisperx[2].text |
今天我们一直在这段时间看到全国各地慢慢有防洪抗害的能力是因为我们除了本体预算公务预算提升第二个部分我们也有前瞻计划把整个资源完全投入我们的防洪跟抗害才有办法让大家感觉到 |
transcript.whisperx[3].start |
86.894 |
transcript.whisperx[3].end |
113.616 |
transcript.whisperx[3].text |
整個國家慢慢的有防洪 抗旱的能力 是不是尤其面對極端氣候如果沒有我們第一時間從過去的八八一路來到前瞻很難因為我們來自地方 我們都知道光一個水利工程那不是簡單一千萬 兩千萬做得起來 |
transcript.whisperx[4].start |
115.543 |
transcript.whisperx[4].end |
123.63 |
transcript.whisperx[4].text |
大家要做一招抽水槍 那就要咕嚕咕嚕咕嚕咕嚕咕嚕咕嚕咕嚕咕嚕咕嚕咕嚕咕嚕咕嚕咕嚕咕嚕咕嚕咕嚕咕嚕 |
transcript.whisperx[5].start |
142.938 |
transcript.whisperx[5].end |
171.186 |
transcript.whisperx[5].text |
所以你必須我們要有萬全的準備去幫忙人民如何去防洪如何去抗旱因為政府要作為人民最好的支撐者才能夠讓他們面對這個極端的氣候尤其極端的氣候所造成的都是人民財產安全的損失 |
transcript.whisperx[6].start |
173.087 |
transcript.whisperx[6].end |
189.918 |
transcript.whisperx[6].text |
這是不容有任何折扣的所以我要先問我們看到去年的楷米還有整個颱風不斷的肆虐造成台南農牧漁業損失慘重 |
transcript.whisperx[7].start |
192.495 |
transcript.whisperx[7].end |
220.857 |
transcript.whisperx[7].text |
甚至很多的低窪地區都是淹水超過好多個禮拜都沒有退當下我們去會刊了我們也過了很多的相關計畫可是我們要問的從去年到今年汛期又要到了都處理好了嗎都準備好了嗎 市長 |
transcript.whisperx[8].start |
223.645 |
transcript.whisperx[8].end |
244.484 |
transcript.whisperx[8].text |
謝謝委員的指導治水的工作除了委員之外所有經濟委員會的各位委員都非常的重視非常感謝委員會過去代包括今年度的預算都非常的支持剛剛委員所提出的前瞻計畫也是透過聯席會跟財政委員會聯席會現在已經通過了我們希望加速了 |
transcript.whisperx[9].start |
245.605 |
transcript.whisperx[9].end |
273.247 |
transcript.whisperx[9].text |
來通過這個預算讓所有的工作能趕快開展但是針對於治水的工作特別是黃汛跟各位報告我們沒有最好但是只有更好到目前為止我們除了工程方法導入之外我們積極的跟縣市來合作比如說我也很關心的巴掌溪及水溪的疏浚包括曾文溪的排水的治理因為我們現在已經把下流段慢慢治理好了我們希望說 |
transcript.whisperx[10].start |
274.268 |
transcript.whisperx[10].end |
300.799 |
transcript.whisperx[10].text |
比照三爺溪的經驗把上游的部分因為這個土地也一直在飆漲市長你剛剛講到三爺溪我也要跟你一起把它變成一個很重要的一個指標跟關鍵我想市長當時候三爺溪在淹水的時候當時候蔡英文總統下台南我當時候就跟蔡總統說總統 |
transcript.whisperx[11].start |
303.679 |
transcript.whisperx[11].end |
328.38 |
transcript.whisperx[11].text |
當我們縣的整治關鍵在土地要一次核定署長你當時候聽很清楚嗎你當時是署長所以蔡英文總統很清楚這個關鍵所以回來一次核定對不對署長一次核定之後我們很簡單的土地一起來做處理願意 |
transcript.whisperx[12].start |
331.031 |
transcript.whisperx[12].end |
355.951 |
transcript.whisperx[12].text |
來做架構的我們馬上處理所以有用看用啦所以我們今天的報告第一頁就把當時的精神放在這裡我們希望說一次核定分年實施的部分對於全國及澳大利亞的自理核酸都比照我們過去三年一夕的經驗來落實這樣對整個防災的能力會更好是對啊沒錯市長 |
transcript.whisperx[13].start |
357.712 |
transcript.whisperx[13].end |
385.944 |
transcript.whisperx[13].text |
山岩溪已經有這麼好的經驗了可是我看你後面好像並不是用這樣方向因為我當時候就跟署長拜託說署長我跟總統直接建言總統也答應了也確實我們就用一次核定所以當時候在卡關在鬼打牆的時候那些過程都沒了所以我們山岩溪可以很快的 |
transcript.whisperx[14].start |
387.011 |
transcript.whisperx[14].end |
405.451 |
transcript.whisperx[14].text |
而且是超乎我們原本的預估因為過去每一次都是土地一段一段土地徵收完了再來做治水的工程然後這一段完了我們再換下一段永遠就卡來卡去可是你一次核定不一樣 |
transcript.whisperx[15].start |
406.61 |
transcript.whisperx[15].end |
422.583 |
transcript.whisperx[15].text |
所以水利工程是要跟時間在跑的、在攪拌的跟時間在賽跑的啊所以我一直講像我們曾文熙排水現在終於終於終於終於做到最後段了終於喔!市長我已經讓你輪過了曾文熙排水過去的治理長達十幾年了17年 |
transcript.whisperx[16].start |
434.673 |
transcript.whisperx[16].end |
463.826 |
transcript.whisperx[16].text |
我當民意代表立委17年就爭取了17年最後終於做到最後段了這當中你看浪費了多少時間所以我一直在說的這事情不能算啦而且當你今天沒有做好前面淹水我們做的工程等於都無效 人民無感 |
transcript.whisperx[17].start |
465.362 |
transcript.whisperx[17].end |
485.479 |
transcript.whisperx[17].text |
所以我們一定在水利工程一定要做一致合定這才是最關鍵 如果在潦白水也是一扎一扎慢慢地走然後搞到所有的里長說 你做什麼 你在做什麼 我也在喝水 人民無感 |
transcript.whisperx[18].start |
488.092 |
transcript.whisperx[18].end |
501.365 |
transcript.whisperx[18].text |
所以在整個我們所看到的現在水利工程包括我們所期待的總預算這一次我們水利署的預算也被刪減了9.63億農業部的預算被刪減了2.73億 |
transcript.whisperx[19].start |
509.504 |
transcript.whisperx[19].end |
535.8 |
transcript.whisperx[19].text |
這些其實都是人民急迫需要的 但被刪掉好 那前瞻呢前瞻第五期 也是在空中在背餒我們現在執行是一至四期嘛 對不對而且一至四期都在執行當中了 已經要做結尾了好 那結尾完呢就是第五期 |
transcript.whisperx[20].start |
537.099 |
transcript.whisperx[20].end |
565.845 |
transcript.whisperx[20].text |
像第五期 關我爭取的麻豆安南中西新營新市永康還有所有民眾設置防水閘門板的預算一億一千兩百七十四萬還有仁德區將軍區外僱傭馬沙溝崔坤新的囚罪證幫忙安平 膽固認定 應控善化 |
transcript.whisperx[21].start |
566.837 |
transcript.whisperx[21].end |
572.411 |
transcript.whisperx[21].text |
這都是在我們第五期第五期的市長怎麼辦第一個我們希望 |
transcript.whisperx[22].start |
577.285 |
transcript.whisperx[22].end |
602.098 |
transcript.whisperx[22].text |
相關包括委員會所支持的預算趕快可以順利的通過第五期經濟部大概編了101億元左右那現在在朝野協商中那如果是這個預算趕快通過的話因為第五期的預算我們已經優先的先把它盤點出來有一些都已經先行核列只不過因為配合預算法的關係所以這個部分你們去年都核列了嗎 |
transcript.whisperx[23].start |
603.238 |
transcript.whisperx[23].end |
625.628 |
transcript.whisperx[23].text |
就是我們看到 凱米等等 好幾個颱風進來我們早就和諒了啊都已經跟人家講說 我們要走啊 要走 屋上吊在空中在飛我們當時看了多少 我再次強調安南區 新化區 嘉里 麻豆柳營嘉里 新化 還有六甲甚至是夏營 鹽水北門 七谷 |
transcript.whisperx[24].start |
636.139 |
transcript.whisperx[24].end |
651.966 |
transcript.whisperx[24].text |
關田我們所看到的全部都是我們目前非常重要急迫需要的還有北區 東區 安南區仁德 雪甲白河 南溪這些都等著你們怎麼辦這些都等著你們市長 |
transcript.whisperx[25].start |
663.888 |
transcript.whisperx[25].end |
669.415 |
transcript.whisperx[25].text |
有什麼想法 現在倒在盡頭到尾了中午三個紅台 前瞻第五期也動不了 |
transcript.whisperx[26].start |
676.841 |
transcript.whisperx[26].end |
697.264 |
transcript.whisperx[26].text |
現在要怎麼做?訊息又要到了訊息快到了我們中心期盼立法院院會能趕快通過我們前瞻的第五期預算因為特別預算有它的嚴謹度那公務預算的部分還有逐年不超過原核定的預算額度裡面還有一些方法可以去想 |
transcript.whisperx[27].start |
697.785 |
transcript.whisperx[27].end |
725.194 |
transcript.whisperx[27].text |
那特別預算的部分 這些確實比較麻煩一點但是我們也可能拜託地方政府他可以多先行電款來做發包或許有可能找到解方 但是因為我們中央都知道要做編啦所以地方政府已經都有一點失能了啦你跟他講說他先編 他也不會編啦以前都是我們等候他然後他電付案配合款 |
transcript.whisperx[28].start |
726.412 |
transcript.whisperx[28].end |
754.034 |
transcript.whisperx[28].text |
現在你叫他先編 他就說 那你錢什麼時候要給我所以 市長今天台南37區每個地方都有我們核定的計畫我們都有去現場看過37區都有但是現在面臨的事 到不了所以市長 這個要解決啊前瞻的第五期 還有我們的總預算 |
transcript.whisperx[29].start |
755.752 |
transcript.whisperx[29].end |
784.762 |
transcript.whisperx[29].text |
這沒有辦法折扣而且有些被凍結的我們希望你們趕快拿出來解凍我相信我們所有的委員都不會阻擋這都是人民的小命機要救命的啦拜託大家也拜託我們的經濟部我們真的要努力而且預算這已經現實狀況了被凍在那裡我們下一步怎麼解決 |
transcript.whisperx[30].start |
787.54 |
transcript.whisperx[30].end |
787.941 |
transcript.whisperx[30].text |
謝謝我也知道 |