丽水市水阁污水厂PAM量投加数据

在污水处理工艺中，PAM（聚丙烯酰胺）的精准投加是强化总磷（TP）与COD去除的关键环节。作为高效絮凝剂，PAM通过架桥作用快速凝聚化学除磷生成的微细絮体（如磷酸盐沉淀）及胶体COD，形成致密矾花加速沉降，显著提升沉淀池对悬浮态磷与有机物的截留率。其阴离子型（APAM）更可特异性捕获带正电的磷化合物，降低出水中颗粒磷含量；同时促进污泥脱水，减少随滤液回流至系统的溶解性污染物。若PAM投加不足，絮凝不全会导致TP/COD穿透，增加后续负荷；过量则引发泡沫与粘壁故障。因此，千吨水PAM投加量是平衡污染物去除效率、污泥处置成本与系统稳定性的核心调控参数，本数据能为水厂等相关行业生产中的PAM投加量提供的数据支持与对比；为千吨水PAM投加量提供数据依据。丽水市水阁污水厂PAM投加量数据算法包括以下步骤：
1、数据采集：采集每天丽水市水阁污水厂的水量、进水COD、进水总磷、出水COD、出水总磷、高效池投加点1PAM用量、高效池投加点2PAM用量、初沉池投加点1PAM用量、初沉池投加点2PAM用量、药剂浓度的值，持续以年为单位的时间；
2、数据处理：在采集到的数据中筛选出“出水COD”、“出水总磷”满足使用要求的日期，使用要求为：出水COD＜30mg/L，出水总磷＜0.20mg/L，计算满足使用要求的日期的千吨水PAM投加量，千吨水PAM投加量=（高效池投加点1PAM用量+高效池头加点2PAM用量+初沉池投加点1PAM用量+初沉池投加点2PAM用量）*药剂浓度/水量*1000；
3、数据统计：以每次连续一个月的PAM投加量使用情况，统计出全年不同月份的平均水量、平均千吨水PAM投加量区间；
4、数据应用：根据全年不同月份的水量区间，结合当年特殊天气对用水的影响程度，为水厂等相关行业提供合理的千吨水PAM投加量建议。

In wastewater treatment processes, accurate dosing of polyacrylamide (PAM) is a critical step to enhance the removal of total phosphorus (TP) and chemical oxygen demand (COD). As a high-efficiency flocculant, PAM rapidly aggregates micro-flocs (e.g., phosphate precipitates) and colloidal COD generated during chemical phosphorus removal via bridging effects, forming dense flocs to accelerate sedimentation and significantly improve the retention rate of suspended phosphorus and organic matter in sedimentation tanks. Its anionic form (APAM) can specifically capture positively charged phosphorus compounds, reducing the content of particulate phosphorus in the effluent; meanwhile, it promotes sludge dewatering and decreases dissolved pollutants returned to the system via filtrate.

If PAM is under-dosed, incomplete flocculation will lead to breakthrough of TP/COD, increasing subsequent loading; over-dosing will cause foaming and wall adhesion failures. Therefore, the PAM dosage per 1000 tons of water is a core regulatory parameter that balances pollutant removal efficiency, sludge disposal costs and system stability. This dataset provides data support and comparison for PAM dosing in production of water plants and related industries, and offers data basis for determining PAM dosage per 1000 tons of water.

The PAM dosing data algorithm for Lishui Shuige Wastewater Treatment Plant includes the following steps:
1. Data collection: Collect daily data of Lishui Shuige Wastewater Treatment Plant for a full year, including water inflow, influent COD, influent TP, effluent COD, effluent TP, PAM dosage at high-efficiency tank point 1, PAM dosage at high-efficiency tank point 2, PAM dosage at primary sedimentation tank point 1, PAM dosage at primary sedimentation tank point 2, and chemical agent concentration.
2. Data processing: Screen out dates from the collected data where effluent COD < 30 mg/L and effluent TP < 0.20 mg/L that meet the specified requirements. Calculate the PAM dosage per 1000 tons of water for the qualified dates using the formula: PAM dosage per 1000 tons of water = (PAM dosage at high-efficiency tank point 1 + PAM dosage at high-efficiency tank point 2 + PAM dosage at primary sedimentation tank point 1 + PAM dosage at primary sedimentation tank point 2) × chemical agent concentration / water inflow × 1000.
3. Data statistics: Take the PAM dosing usage of each consecutive month, and count the average water inflow and average PAM dosage range per 1000 tons of water for different months throughout the year.
4. Data application: Based on the water inflow ranges of different months throughout the year, combined with the impact of special weather in the current year on water consumption, provide reasonable suggestions on PAM dosage per 1000 tons of water for water plants and related industries.

搜集汇总

背景与挑战

背景概述

该数据集记录了丽水市水阁污水厂的PAM投加量数据，包含544条记录，涵盖水量、进出水COD和总磷浓度、PAM用量等关键指标，用于优化污水处理过程中PAM的精准投加，提升污染物去除效率并降低运营成本。数据集通过算法处理确保数据质量，为水厂行业提供PAM投加量的数据支持和决策依据。