產業園區聚集多元產業，其環境負荷難以單憑任一介質之監測資料完整呈現，然既有文獻 多僅針對空氣、水或地下水單一介質進行評估，尚無研究建立一套可同時適用於七大監測領域 之共通指標與分析方法，並驗證其於實際運作中之可行性。本研究旨在辨識產業園區多介質環 境品質監測之適用指標與對應分析方法，並以中壢產業園區為個案，運用三年期監測資料驗證 其可行性與可操作性。本研究以桃園市中壢產業園區民國112至114年環境空氣、飲用水、河 川水、地下水、噪音、海岸水質及酸雨等七項領域之監測資料為對象，結合曼－肯德爾趨勢檢 定、森氏斜率估計、NSF水質指數（WQI）及地下水品質指數（GQI），並建立季度合規熱點 圖與紅、黃、綠三級燈號分級制度，將複雜資料轉化為一目了然之風險總覽。 結果顯示，河川水質及中福公園地下水為嚴重程度最高（紅燈）之領域：黃墘溪兩測站 NH₃-N與糞大腸桿菌群連續三年全數超標，中福公園監測井持續呈現極高至高風險之GQI評 等。空氣品質雖十一項指標中六項顯著改善，PM₂.₅仍持續超過國內外標準；內定國小地下水 PCE多次超標；噪音、海岸水質及酸雨則大致穩定並呈改善趨勢，但尚未完全達標；飲用水三 年100%合規，內壢國中地下水井風險最低但鐵濃度嚴重偏高。此外，黃墘溪下游中福橋站相 對上游測站，導電度與鋅濃度呈異常上升，顯示兩站間可能存在未明排放來源。上述結果證實 本研究所建立之指標與方法可於實際監測條件下運作，成功將七大領域整合為單一可比較之風 險總覽，為產業園區經營者及環保主管機關提供一套可移轉之管理排序工具。;Industrial parks cluster diverse industries whose combined environmental burden cannot be adequately captured by any single monitoring medium， yet existing studies remain confined largely to single-medium assessments， air， water， or groundwater alone， with no established framework of indicators and analytical methods applicable consistently across all mandated domains， nor evidence that such a framework is workable under real operating conditions. This thesis therefore aims to identify indicators and matched analytical methods suitable for multi-media environmental quality monitoring at industrial parks， and to verify their feasibility and operability through a three-year case study at Zhongli Industrial Park， Taoyuan， Taiwan. Drawing on ROC Years 112–114 (2023–2025) monitoring data across seven domains， ambient air quality， drinking water quality， river water quality， groundwater quality， noise， coastal water quality， and acid rain， this study applies Mann-Kendall trend testing， Sen′s slope estimation， the NSF Water Quality Index， and a Groundwater Quality Index， together with purpose-built quarterly compliance heatmaps and a red/yellow/green severity-ranking scheme， to translate this multi-parameter dataset into an at-a-glance risk overview. Results identify river water quality and groundwater at Zhongfu Park as the highest-severity (Red) domains， with NH₃-N and fecal coliform exceeding standards in all 24 quarterly records on the Huangquan River and Very High to High GQI risk at Zhongfu Park throughout. PM₂.₅ remained above Taiwan and WHO standards despite improvement in six of eleven other air-quality parameters; PCE repeatedly exceeded standard at Neiding Elementary groundwater; noise， coastal water， and acid rain were broadly stable to improving but not yet fully compliant; and drinking water achieved full three year compliance， with the Neili Junior High well the lowest-risk site despite pronounced iron enrichment. A rising electrical conductivity and zinc signal at the downstream Zhongfu Bridge station relative to the upstream station points to a possible unidentified discharge source. These findings confirm that the proposed indicator set and analytical framework are feasible and operable under real monitoring conditions， offering industrial park operators and environmental authorities a transferable tool for prioritising monitoring and management resources.
