iVOD / 165682

Field Value
IVOD_ID 165682
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/165682
日期 2025-11-20
會議資料.會議代碼 委員會-11-4-15-11
會議資料.會議代碼:str 第11屆第4會期內政委員會第11次全體委員會議
會議資料.屆 11
會議資料.會期 4
會議資料.會次 11
會議資料.種類 委員會
會議資料.委員會代碼[0] 15
會議資料.委員會代碼:str[0] 內政委員會
會議資料.標題 第11屆第4會期內政委員會第11次全體委員會議
影片種類 Clip
開始時間 2025-11-20T09:41:31+08:00
結束時間 2025-11-20T09:50:12+08:00
影片長度 00:08:41
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/972124280c86b9139a86d5e51e1d7198c4841f031bc0ad0afa443352b7318b8977988f7de2833a605ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 張宏陸
委員發言時間 09:41:31 - 09:50:12
會議時間 2025-11-20T09:00:00+08:00
會議名稱 立法院第11屆第4會期內政委員會第11次全體委員會議(事由:邀請海洋委員會主任委員率同所屬列席報告業務概況,並備質詢。)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 0.45284375
transcript.pyannote[1].speaker SPEAKER_02
transcript.pyannote[1].start 8.24909375
transcript.pyannote[1].end 10.81409375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 11.69159375
transcript.pyannote[2].end 12.85596875
transcript.pyannote[3].speaker SPEAKER_02
transcript.pyannote[3].start 15.04971875
transcript.pyannote[3].end 15.85971875
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 16.24784375
transcript.pyannote[4].end 17.02409375
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 19.26846875
transcript.pyannote[5].end 19.82534375
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 19.82534375
transcript.pyannote[6].end 19.84221875
transcript.pyannote[7].speaker SPEAKER_02
transcript.pyannote[7].start 20.19659375
transcript.pyannote[7].end 20.98971875
transcript.pyannote[8].speaker SPEAKER_02
transcript.pyannote[8].start 21.79971875
transcript.pyannote[8].end 22.12034375
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 22.81221875
transcript.pyannote[9].end 31.28346875
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 31.73909375
transcript.pyannote[10].end 72.79596875
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 72.81284375
transcript.pyannote[11].end 83.22471875
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 83.44409375
transcript.pyannote[12].end 89.65409375
transcript.pyannote[13].speaker SPEAKER_02
transcript.pyannote[13].start 90.85221875
transcript.pyannote[13].end 92.57346875
transcript.pyannote[14].speaker SPEAKER_02
transcript.pyannote[14].start 92.84346875
transcript.pyannote[14].end 106.57971875
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 98.53034375
transcript.pyannote[15].end 98.96909375
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 98.96909375
transcript.pyannote[16].end 99.03659375
transcript.pyannote[17].speaker SPEAKER_02
transcript.pyannote[17].start 106.73159375
transcript.pyannote[17].end 107.06909375
transcript.pyannote[18].speaker SPEAKER_02
transcript.pyannote[18].start 108.11534375
transcript.pyannote[18].end 110.88284375
transcript.pyannote[19].speaker SPEAKER_02
transcript.pyannote[19].start 110.96721875
transcript.pyannote[19].end 141.88221875
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 121.96971875
transcript.pyannote[20].end 123.18471875
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 137.34284375
transcript.pyannote[21].end 137.91659375
transcript.pyannote[22].speaker SPEAKER_02
transcript.pyannote[22].start 142.65846875
transcript.pyannote[22].end 145.45971875
transcript.pyannote[23].speaker SPEAKER_02
transcript.pyannote[23].start 145.78034375
transcript.pyannote[23].end 152.96909375
transcript.pyannote[24].speaker SPEAKER_02
transcript.pyannote[24].start 153.32346875
transcript.pyannote[24].end 158.41971875
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 153.35721875
transcript.pyannote[25].end 154.18409375
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 154.69034375
transcript.pyannote[26].end 155.14596875
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 158.74034375
transcript.pyannote[27].end 161.57534375
transcript.pyannote[28].speaker SPEAKER_03
transcript.pyannote[28].start 163.51596875
transcript.pyannote[28].end 166.78971875
transcript.pyannote[29].speaker SPEAKER_02
transcript.pyannote[29].start 167.41409375
transcript.pyannote[29].end 168.89909375
transcript.pyannote[30].speaker SPEAKER_03
transcript.pyannote[30].start 169.43909375
transcript.pyannote[30].end 178.88909375
transcript.pyannote[31].speaker SPEAKER_02
transcript.pyannote[31].start 174.07971875
transcript.pyannote[31].end 175.81784375
transcript.pyannote[32].speaker SPEAKER_02
transcript.pyannote[32].start 178.28159375
transcript.pyannote[32].end 181.60596875
transcript.pyannote[33].speaker SPEAKER_03
transcript.pyannote[33].start 179.69909375
transcript.pyannote[33].end 180.49221875
transcript.pyannote[34].speaker SPEAKER_03
transcript.pyannote[34].start 181.65659375
transcript.pyannote[34].end 181.96034375
transcript.pyannote[35].speaker SPEAKER_02
transcript.pyannote[35].start 181.69034375
transcript.pyannote[35].end 187.32659375
transcript.pyannote[36].speaker SPEAKER_03
transcript.pyannote[36].start 187.41096875
transcript.pyannote[36].end 198.49784375
transcript.pyannote[37].speaker SPEAKER_03
transcript.pyannote[37].start 198.90284375
transcript.pyannote[37].end 207.91409375
transcript.pyannote[38].speaker SPEAKER_03
transcript.pyannote[38].start 208.43721875
transcript.pyannote[38].end 208.45409375
transcript.pyannote[39].speaker SPEAKER_02
transcript.pyannote[39].start 208.45409375
transcript.pyannote[39].end 208.57221875
transcript.pyannote[40].speaker SPEAKER_03
transcript.pyannote[40].start 208.57221875
transcript.pyannote[40].end 208.58909375
transcript.pyannote[41].speaker SPEAKER_02
transcript.pyannote[41].start 208.58909375
transcript.pyannote[41].end 208.60596875
transcript.pyannote[42].speaker SPEAKER_03
transcript.pyannote[42].start 208.60596875
transcript.pyannote[42].end 208.70721875
transcript.pyannote[43].speaker SPEAKER_02
transcript.pyannote[43].start 209.58471875
transcript.pyannote[43].end 210.52971875
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 211.18784375
transcript.pyannote[44].end 224.89034375
transcript.pyannote[45].speaker SPEAKER_02
transcript.pyannote[45].start 225.36284375
transcript.pyannote[45].end 227.47221875
transcript.pyannote[46].speaker SPEAKER_03
transcript.pyannote[46].start 227.72534375
transcript.pyannote[46].end 228.26534375
transcript.pyannote[47].speaker SPEAKER_02
transcript.pyannote[47].start 228.58596875
transcript.pyannote[47].end 235.62284375
transcript.pyannote[48].speaker SPEAKER_03
transcript.pyannote[48].start 229.54784375
transcript.pyannote[48].end 229.96971875
transcript.pyannote[49].speaker SPEAKER_03
transcript.pyannote[49].start 235.62284375
transcript.pyannote[49].end 235.63971875
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 235.63971875
transcript.pyannote[50].end 235.65659375
transcript.pyannote[51].speaker SPEAKER_03
transcript.pyannote[51].start 235.65659375
transcript.pyannote[51].end 235.69034375
transcript.pyannote[52].speaker SPEAKER_03
transcript.pyannote[52].start 236.11221875
transcript.pyannote[52].end 247.03034375
transcript.pyannote[53].speaker SPEAKER_03
transcript.pyannote[53].start 247.23284375
transcript.pyannote[53].end 249.86534375
transcript.pyannote[54].speaker SPEAKER_03
transcript.pyannote[54].start 250.32096875
transcript.pyannote[54].end 251.53596875
transcript.pyannote[55].speaker SPEAKER_03
transcript.pyannote[55].start 251.83971875
transcript.pyannote[55].end 255.36659375
transcript.pyannote[56].speaker SPEAKER_02
transcript.pyannote[56].start 256.09221875
transcript.pyannote[56].end 258.70784375
transcript.pyannote[57].speaker SPEAKER_03
transcript.pyannote[57].start 258.38721875
transcript.pyannote[57].end 258.74159375
transcript.pyannote[58].speaker SPEAKER_02
transcript.pyannote[58].start 258.74159375
transcript.pyannote[58].end 265.05284375
transcript.pyannote[59].speaker SPEAKER_02
transcript.pyannote[59].start 265.72784375
transcript.pyannote[59].end 270.87471875
transcript.pyannote[60].speaker SPEAKER_03
transcript.pyannote[60].start 271.06034375
transcript.pyannote[60].end 275.86971875
transcript.pyannote[61].speaker SPEAKER_03
transcript.pyannote[61].start 276.05534375
transcript.pyannote[61].end 283.37909375
transcript.pyannote[62].speaker SPEAKER_03
transcript.pyannote[62].start 283.58159375
transcript.pyannote[62].end 285.37034375
transcript.pyannote[63].speaker SPEAKER_02
transcript.pyannote[63].start 285.62346875
transcript.pyannote[63].end 291.12471875
transcript.pyannote[64].speaker SPEAKER_02
transcript.pyannote[64].start 291.51284375
transcript.pyannote[64].end 297.03096875
transcript.pyannote[65].speaker SPEAKER_02
transcript.pyannote[65].start 297.46971875
transcript.pyannote[65].end 312.69096875
transcript.pyannote[66].speaker SPEAKER_02
transcript.pyannote[66].start 312.97784375
transcript.pyannote[66].end 316.30221875
transcript.pyannote[67].speaker SPEAKER_03
transcript.pyannote[67].start 316.67346875
transcript.pyannote[67].end 326.14034375
transcript.pyannote[68].speaker SPEAKER_02
transcript.pyannote[68].start 326.86596875
transcript.pyannote[68].end 332.36721875
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 333.24471875
transcript.pyannote[69].end 336.26534375
transcript.pyannote[70].speaker SPEAKER_03
transcript.pyannote[70].start 335.99534375
transcript.pyannote[70].end 336.14721875
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 336.65346875
transcript.pyannote[71].end 338.76284375
transcript.pyannote[72].speaker SPEAKER_03
transcript.pyannote[72].start 339.57284375
transcript.pyannote[72].end 344.92221875
transcript.pyannote[73].speaker SPEAKER_03
transcript.pyannote[73].start 345.15846875
transcript.pyannote[73].end 345.79971875
transcript.pyannote[74].speaker SPEAKER_02
transcript.pyannote[74].start 345.79971875
transcript.pyannote[74].end 345.91784375
transcript.pyannote[75].speaker SPEAKER_03
transcript.pyannote[75].start 345.91784375
transcript.pyannote[75].end 348.21284375
transcript.pyannote[76].speaker SPEAKER_02
transcript.pyannote[76].start 345.96846875
transcript.pyannote[76].end 346.08659375
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 347.23409375
transcript.pyannote[77].end 347.47034375
transcript.pyannote[78].speaker SPEAKER_02
transcript.pyannote[78].start 349.17471875
transcript.pyannote[78].end 367.83846875
transcript.pyannote[79].speaker SPEAKER_03
transcript.pyannote[79].start 353.44409375
transcript.pyannote[79].end 353.96721875
transcript.pyannote[80].speaker SPEAKER_03
transcript.pyannote[80].start 359.97471875
transcript.pyannote[80].end 360.81846875
transcript.pyannote[81].speaker SPEAKER_03
transcript.pyannote[81].start 367.83846875
transcript.pyannote[81].end 375.60096875
transcript.pyannote[82].speaker SPEAKER_03
transcript.pyannote[82].start 375.95534375
transcript.pyannote[82].end 377.35596875
transcript.pyannote[83].speaker SPEAKER_03
transcript.pyannote[83].start 377.96346875
transcript.pyannote[83].end 379.22909375
transcript.pyannote[84].speaker SPEAKER_03
transcript.pyannote[84].start 379.63409375
transcript.pyannote[84].end 380.35971875
transcript.pyannote[85].speaker SPEAKER_02
transcript.pyannote[85].start 379.87034375
transcript.pyannote[85].end 382.55346875
transcript.pyannote[86].speaker SPEAKER_02
transcript.pyannote[86].start 383.14409375
transcript.pyannote[86].end 393.45471875
transcript.pyannote[87].speaker SPEAKER_03
transcript.pyannote[87].start 388.93221875
transcript.pyannote[87].end 389.21909375
transcript.pyannote[88].speaker SPEAKER_02
transcript.pyannote[88].start 393.89346875
transcript.pyannote[88].end 400.44096875
transcript.pyannote[89].speaker SPEAKER_02
transcript.pyannote[89].start 400.49159375
transcript.pyannote[89].end 405.53721875
transcript.pyannote[90].speaker SPEAKER_03
transcript.pyannote[90].start 400.81221875
transcript.pyannote[90].end 400.89659375
transcript.pyannote[91].speaker SPEAKER_02
transcript.pyannote[91].start 405.58784375
transcript.pyannote[91].end 409.13159375
transcript.pyannote[92].speaker SPEAKER_02
transcript.pyannote[92].start 409.24971875
transcript.pyannote[92].end 411.64596875
transcript.pyannote[93].speaker SPEAKER_02
transcript.pyannote[93].start 412.30409375
transcript.pyannote[93].end 416.21909375
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 416.26971875
transcript.pyannote[94].end 421.70346875
transcript.pyannote[95].speaker SPEAKER_02
transcript.pyannote[95].start 421.83846875
transcript.pyannote[95].end 427.89659375
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 428.35221875
transcript.pyannote[96].end 442.67909375
transcript.pyannote[97].speaker SPEAKER_02
transcript.pyannote[97].start 442.98284375
transcript.pyannote[97].end 444.94034375
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 445.07534375
transcript.pyannote[98].end 445.66596875
transcript.pyannote[99].speaker SPEAKER_02
transcript.pyannote[99].start 446.02034375
transcript.pyannote[99].end 452.04471875
transcript.pyannote[100].speaker SPEAKER_02
transcript.pyannote[100].start 452.38221875
transcript.pyannote[100].end 454.72784375
transcript.pyannote[101].speaker SPEAKER_02
transcript.pyannote[101].start 454.96409375
transcript.pyannote[101].end 458.50784375
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 458.50784375
transcript.pyannote[102].end 458.52471875
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 458.92971875
transcript.pyannote[103].end 478.74096875
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 470.21909375
transcript.pyannote[104].end 470.60721875
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 478.96034375
transcript.pyannote[105].end 490.95846875
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 485.64284375
transcript.pyannote[106].end 486.03096875
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 487.60034375
transcript.pyannote[107].end 487.93784375
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 490.38471875
transcript.pyannote[108].end 493.06784375
transcript.pyannote[109].speaker SPEAKER_02
transcript.pyannote[109].start 493.06784375
transcript.pyannote[109].end 501.92721875
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 497.87721875
transcript.pyannote[110].end 498.33284375
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 500.25659375
transcript.pyannote[111].end 500.81346875
transcript.pyannote[112].speaker SPEAKER_02
transcript.pyannote[112].start 503.12534375
transcript.pyannote[112].end 520.69221875
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 506.78721875
transcript.pyannote[113].end 507.12471875
transcript.whisperx[0].start 8.437
transcript.whisperx[0].end 16.325
transcript.whisperx[0].text 我請主委跟署長請主委跟署長啊署長專委員好
transcript.whisperx[1].start 20.656
transcript.whisperx[1].end 47.165
transcript.whisperx[1].text 來 主委有個問題我們這個海洋三法我們現在海域管理法我們的進度不知道如何跟委員報告委員一直很關心這件事情也一直叮嚀我們我們目前有一個進度就是說海陸分治之下它的大綱我們大綱討論完畢我是希望說你大綱討論完畢
transcript.whisperx[2].start 48.405
transcript.whisperx[2].end 70.166
transcript.whisperx[2].text 然後要化為文字的這個過程呢我們就先來做跨部會的整合不要等到文字出來了才去做跨部會整合所以我們大綱確定的時候已經開過會大綱目前確定方向也確定然後要來開始進行就這個大綱就是未來的大架構要來做跨部會整合
transcript.whisperx[3].start 70.606
transcript.whisperx[3].end 89.461
transcript.whisperx[3].text 因为这一部法律只要一制定,涉及其他部会必须要同步连带修订的法律非常的多,有好几十部法律都要来修订那其中当然最重要的修订最多的是内政部的国土计划法
transcript.whisperx[4].start 91.743
transcript.whisperx[4].end 106.723
transcript.whisperx[4].text 當然啦也不只國土計畫法啦我覺得跨部會啊這個農業部啊什麼的這些都要啦我們要把這個海域變成一個立體的管理這個其實要耗費相當大的功夫不過
transcript.whisperx[5].start 108.334
transcript.whisperx[5].end 128.085
transcript.whisperx[5].text 為什麼會一直想說這個法律剛剛聽到主委有進度我覺得是好的啦不然其實現在有很多山不管地帶可能管也管不到也沒辦法處理對不對像剛剛蘇委員在質詢的你們要自己去出錢對不對
transcript.whisperx[6].start 131.306
transcript.whisperx[6].end 158.083
transcript.whisperx[6].text 這個就是變成我們一直在講要怎麼做怎麼做確實實際上是還沒有做到我覺得這個如果可以加快就加快另外現在有很多的中國的船隻他們是不是有很多他們關掉AIS系統當闖入這種情況現在是不是很多 署長
transcript.whisperx[7].start 159.066
transcript.whisperx[7].end 187.135
transcript.whisperx[7].text 一直都有我請署長來詳細說明郭委員報這個情況我們是有查過過的是有的有沒有很多目前看起來這一個沒有很多沒有很多是就是至少在我們的水域裡面是沒有很多的在我們的水域裡面沒有很多啦但還是有嘛有好我們發現這個我們是採取何項措施
transcript.whisperx[8].start 187.735
transcript.whisperx[8].end 207.354
transcript.whisperx[8].text 跟委員報告那因為在我們水運裡面我們除了透過我們自己的聯合清真真手段以外那我們也透過友軍提供不明船隻的這個動態然後我們會以我們的船去做辨識那另外特別跟委員報告我們有很多的這些暗船的偵測系統那我們可以充分的掌握這些船舶的動態
transcript.whisperx[9].start 209.902
transcript.whisperx[9].end 235.407
transcript.whisperx[9].text 現在立法院也很多的立委在關注這個海嵐七法什麼的對不對那像這種關掉這個AIS的這種有一部分有可能它就是來破壞我們的海底電纜有沒有這個可能有可能有可能嘛 對啊所以我才會問你說我們發現了我們採取何種措施
transcript.whisperx[10].start 236.201
transcript.whisperx[10].end 264.463
transcript.whisperx[10].text 跟委員報告那我們如果發現類似的船舶那我們現在主要的關注船舶是根據航港局提供的東京備温有97艘具有中資背景的這些權威輪那只要這些權威輪進到我們的水域我們會有一定的監控那只要是長期可疑的我們都會派船去做必要的登檢對嘛 你現在就是監控跟登檢嘛 是啊 有沒有想過一件事情我們的這個海嵐七法大家這樣很認真
transcript.whisperx[11].start 265.908
transcript.whisperx[11].end 284.842
transcript.whisperx[11].text 下次他換鐵殼漁船來破壞你的海底電纜有沒有這個可能有可能跟委員報告根據這個不管是各類船舶只要有類似狀況我們都是查阻的標準都是一致的那我們現在海岸企劃裡面在船舶法裡面就有特別規範關閉AS他是有罰則的
transcript.whisperx[12].start 285.803
transcript.whisperx[12].end 308.192
transcript.whisperx[12].text 我知道這個都有發生我現在就是提醒說狀態很多大海那麼大其實你們也很辛苦我覺得身為一個主權國家還是要有一點點強力的措施我覺得如果只有跟監看到情況不對才登檢
transcript.whisperx[13].start 309.072
transcript.whisperx[13].end 332.001
transcript.whisperx[13].text 我覺得啦,對一個主權國家我覺得好像有點不夠,不知道署長你的看法跟委員報告,那其實對於可疑傳播,如果是違反相關規範我們是有權可以扣押,然後代盤偵辦的報警整頓,然後代盤偵辦那有可能你也發現了一些事實才有嘛,對不對那有可能這一個
transcript.whisperx[14].start 333.411
transcript.whisperx[14].end 346.361
transcript.whisperx[14].text 嫌疑人了 有可能是嫌疑傳了是我們不能驅離 不能什麼嗎呃 根本沒辦法 如果還這個還能七法 修法通過以後就可以處理了現在不行嗎現在沒有罰則 現在沒有罰則
transcript.whisperx[15].start 349.532
transcript.whisperx[15].end 374.604
transcript.whisperx[15].text 現在沒有法,但他關掉AIS的這種也不能驅離嗎沒有法則沒有法則啦,按能不能驅離啊可以啊,當然可以,我們可以驅離,沒有問題所以我的意思是說,像我發現這種的也不用跟進,也不用什麼啦我們是一個主權國家,就把它驅離啦各位朋友,其實對於可疑傳播我們會採取的第一個就是強勢的登檢如果真的很可疑,我們是會登檢的
transcript.whisperx[16].start 376.041
transcript.whisperx[16].end 380.597
transcript.whisperx[16].text 那第二個部分就是我們會把它做驅離對啦我的意思是說
transcript.whisperx[17].start 383.186
transcript.whisperx[17].end 411.329
transcript.whisperx[17].text 海巡兄弟也很辛苦啦但相對於這一種的政府要有一個強力的措施啦這一個措施我為什麼講第一個我剛剛強調的主權國家之外你讓在我們在海上的我國的漁船我國的漁民也會有安心的作用只要你有做這些漁民都會講他們就會安心我覺得我們海巡還有一個很重要的就是讓我們的漁民安心
transcript.whisperx[18].start 412.61
transcript.whisperx[18].end 431.159
transcript.whisperx[18].text 這個是非常重要的就像在路上看到警察我就安心了對不對我在海上看到海巡的船然後有座位漁民就安心我覺得我們花了這麼多錢然後我們也要造艇什麼我們都支持這個就是要一個很重要讓漁民安心
transcript.whisperx[19].start 432.199
transcript.whisperx[19].end 457.618
transcript.whisperx[19].text 尤其是像現在這個像我們東北角捕花蟹啊捕什麼的這個大陸的漁船 中國的漁船跑來這邊漁民是很氣啊 對不對他是跟他搶啊 對不對那我們如果有你只要有一點點作為有具體的作為我跟你講漁民啊大家就會去船了啦
transcript.whisperx[20].start 459.359
transcript.whisperx[20].end 478.229
transcript.whisperx[20].text 護魚的部分我們做得很好那魚米也很依賴我們所以如果大陸的漁船進到我們的水域來我們就是一概驅離就算是你有開AIS你進來了我還是趕你走那沒有開AIS的部分如果說海蘭七法進來以後有罰則我相信那個嚇阻性會出來
transcript.whisperx[21].start 479.208
transcript.whisperx[21].end 500.584
transcript.whisperx[21].text 我知道你們現在有驅離有做所以我才會說你們只要有做漁民就會說啦漁民自己會去傳啦然後漁民自己就會說這就是讓漁民安心有時候他們還來送我們罐頭這樣子對所以我說我也有聽到漁會你們有做什麼所以我才會說你們有做漁民就安心但我要強調的是說
transcript.whisperx[22].start 503.526
transcript.whisperx[22].end 520.036
transcript.whisperx[22].text 該做的還是有的要強力一點啦不要一定要等到他到哪裡海域啦你明明知道這個灌飯了你這一艘船還沒進到我們可以的我們就先把他趕走了嘛這漁民會給你更大的掌聲啦好 謝謝