(綜合自由時報、中時電子報等2家媒體報導)
6月下旬米克拉颱風外圍環流及西南氣流為屏東縣帶來超大豪雨,多處商家與住宅社區受災。屏東縣政府除啟動「米克拉颱風商家淹水慰助金專案」外,考量中央補助未涵蓋公寓大廈的公共空間,主動加碼編列經費,將地下室、機電空間等室內公共區域納入慰助範圍。
商家慰助標準依淹水高度分級:達50公分(含)以上者,慰助3萬5000元(含縣府1萬5000元、中央2萬元),另可申請家電受損補助(上限1萬元);達30公分(含)以上未達50公分者,縣府慰助1萬元,另可申請家電受損補助(上限1萬元);未達30公分者,縣府慰助1萬元。
公寓大廈室內公共空間部分,依實際淹水高度,達50公分以上者每棟慰助5萬元,未達50公分者每棟3萬元。
專案受理期限即日起至7月31日止,符合資格者請向受災地址所屬的鄉鎮市公所申請。申請時需備妥申請書、相關證明文件(如營業登記、營業證明等)、受災照片、房屋門牌照片及存摺影本;淹水高度達30公分以上者,可視實際情況檢具相關憑證同時申請家電受損補助。城鄉處提醒,同一門牌的住屋與商家僅能擇一請領,公所採書面審查,核定通過後撥款。\n(中時 林和生)"}
<instructions> Write the integrated report and TL;DR following all rules above. - Use the published_at timestamps to determine if data differences are event evolution or different snapshots. - Remember: the opening attribution line counts distinct media outlets, not articles. Here there are 2 distinct outlets. - Apply the wire_service rule: if content is nearly identical, write a concise factual summary. - Apply the must_cite/must_not_cite rules carefully. - Apply the large_event_warning rule if applicable (not here, only 2 sources). - Apply the single_source rule if applicable (not here, 2 sources). - Apply the off_topic rule (no articles are off-topic here). - Apply the social_media rule (no social media content here). - Apply the data_differences rule (no contradictions here). - Apply the exclusive_info rule: scan each source for unique details. Source [1] has more detailed tier breakdowns and the "同一門牌的住屋與商家僅能擇一請領" reminder. Source [2] has the specific date "6月25日暴雨狂炸". Both are shared facts essentially. No exclusive info to cite. </instructions>