丽水市水阁污水厂PAC投加量数据

在污水处理工艺中，PAC（聚合氯化铝）的精准投加是保障总磷（TP）与COD高效去除的关键控制手段；针对总磷，PAC通过化学沉淀作用（生成AlPO₄）直接削减水体中各类磷形态（溶解性/颗粒态/有机磷），有效抑制富营养化风险；对COD则通过电中和与吸附架桥作用，破坏胶体有机物（如蛋白质、腐殖酸）稳定性并促进共沉淀，强化生物处理单元的遗留污染负荷去除；其生成的致密絮体更可加速污泥沉降，提升固液分离效率；若PAC投加量不足，将导致TP与胶体COD去除不彻底，引发出水超标；而过量投加则徒增污泥产量与铝盐残留风险；因此，千吨水PAC投加量不仅是工艺调控的核心参数，更是平衡处理效能、运行成本与出水安全的决定性变量，本数据能为水厂等相关行业生产中的PAC投加量提供的数据支持与对比；为千吨水PAC投加量提供数据依据。丽水市水阁污水厂PAC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1PAC用量、高效池投加点2PAC用量、初沉池投加点1PAC用量、初沉池投加点2PAC用量、滤池投加点PAC用量的值，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PAC投加量，千吨水PAC投加量=（高效池投加点1PAC用量+高效池头加点2PAC用量+初沉池投加点1PAC用量+初沉池投加点2PAC用量+滤池投加点PAC用量）/水量*1000；
3、数据统计：以每次连续一个月的PAC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PAC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PAC投加量建议。

In wastewater treatment processes, precise dosing of PAC (Polyaluminum Chloride) is a key control measure to ensure efficient removal of total phosphorus (TP) and chemical oxygen demand (COD). For TP, PAC directly reduces all phosphorus species in water (dissolved/particulate/organic phosphorus) via chemical precipitation (forming AlPO₄), effectively inhibiting the risk of eutrophication. As for COD, PAC destabilizes colloidal organic matter (e.g., proteins, humic acids) and promotes coprecipitation through electrostatic neutralization and adsorption bridging, enhancing the removal of residual pollution loads from biological treatment units. The dense flocs generated by PAC can also accelerate sludge sedimentation and improve solid-liquid separation efficiency. Inadequate PAC dosing will lead to incomplete removal of TP and colloidal COD, resulting in effluent exceeding standard limits, while excessive dosing unnecessarily increases sludge production and the risk of aluminum salt residue. Therefore, the PAC dosage per 1000 tons of water is not only a core parameter for process regulation, but also a decisive variable balancing treatment efficiency, operating costs and effluent safety. This dataset provides data support and comparison for PAC dosing in production scenarios such as water treatment plants, and offers data references for determining PAC dosage per 1000 tons of water.

The PAC dosage dataset algorithm for Shuige Wastewater Treatment Plant in Lishui City includes the following steps:
1. Data Collection: Collect daily data of Shuige Wastewater Treatment Plant in Lishui City for a full year, including water inflow, influent COD, influent TP, effluent COD, effluent TP, PAC dosage at dosing point 1 of high-efficiency tank, PAC dosage at dosing point 2 of high-efficiency tank, PAC dosage at dosing point 1 of primary sedimentation tank, PAC dosage at dosing point 2 of primary sedimentation tank, and PAC dosage at filter tank dosing point.
2. Data Processing: Screen out dates where effluent COD and effluent TP meet the specified requirements from the collected data, with the requirements being effluent COD < 30 mg/L and effluent TP < 0.20 mg/L. Calculate the PAC dosage per 1000 tons of water for the qualifying dates, with the formula: PAC dosage per 1000 tons of water = (PAC dosage at high-efficiency tank dosing point 1 + PAC dosage at high-efficiency tank dosing point 2 + PAC dosage at primary sedimentation tank dosing point 1 + PAC dosage at primary sedimentation tank dosing point 2 + PAC dosage at filter tank dosing point) / water inflow * 1000.
3. Data Statistics: Based on the PAC dosage usage of each consecutive month, calculate the average water inflow and the average PAC dosage range per 1000 tons of water for each month throughout the year.
4. Data Application: Provide reasonable recommendations for PAC dosage per 1000 tons of water for water treatment plants and other related industries, based on the monthly water inflow ranges throughout the year combined with the impact of special weather events on water consumption in that year.

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PAC投加量相关数据，包含544条记录，涵盖水量、水质参数和投加量信息，用于优化污水处理过程中PAC的精准投加，以高效去除总磷和COD，并平衡运行成本与出水安全。数据通过特定算法处理，提供基于月份和天气条件的千吨水PAC投加量建议，支持水厂行业的生产决策。