CN104318335A - Method for optimizing and assessing riverway waste water ecological purification scheme - Google Patents

Method for optimizing and assessing riverway waste water ecological purification scheme Download PDF

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CN104318335A
CN104318335A CN201410645160.1A CN201410645160A CN104318335A CN 104318335 A CN104318335 A CN 104318335A CN 201410645160 A CN201410645160 A CN 201410645160A CN 104318335 A CN104318335 A CN 104318335A
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张瑞斌
钱新
高海龙
朱文婷
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Abstract

本发明公开了一种优化评估河道污水生态净化方案的方法,属于水污染控制领域。其步骤为:(1)应用QUAL2K模型模拟河道水动力与水质,对模型参数进行校准与验证;(2)设计现场实验,采用挺水植物、浮叶植物、沉水植物、漂浮植物四个生态处理单元分别处理河水;(3)通过生态处理现场实验数据,计算得出挺水植物、浮叶植物、沉水植物、漂浮植物四个生态处理单元的降解系数;(4)由挺水植物、浮叶植物、沉水植物、漂浮植物四个单元排列组合为24种生态净化方案,采用现场实验得到的降解系数,通过QUAL2K模型模拟24种不同的生态净化方案;(5)计算各种方案末端出水的污染物去除率,采用层次分析法综合评估得到最优生态净化方案。通过本发明的运用,可以有效解决生态净化方案优化选择的问题,为环境管理部门提供决策支持。

The invention discloses a method for optimizing and evaluating the ecological purification scheme of river sewage, belonging to the field of water pollution control. The steps are: (1) apply the QUAL2K model to simulate the hydrodynamics and water quality of the river, and calibrate and verify the model parameters; (2) design field experiments, using four ecological models of emergent plants, floating leaf plants, submerged plants, and floating plants. The treatment units treat the river water respectively; (3) Calculate the degradation coefficients of the four ecological treatment units of emergent plants, floating leaf plants, submerged plants and floating plants through the field experiment data of ecological treatment; Four units of floating leaf plants, submerged plants and floating plants are arranged and combined into 24 kinds of ecological purification schemes, using the degradation coefficient obtained from field experiments, and simulating 24 different ecological purification schemes through the QUAL2K model; (5) Calculate the end points of various schemes The pollutant removal rate of the effluent is comprehensively evaluated by the analytic hierarchy process to obtain the optimal ecological purification scheme. Through the application of the invention, the problem of optimal selection of the ecological purification scheme can be effectively solved, and decision support can be provided for the environmental management department.

Description

一种优化评估河道污水生态净化方案的方法A method for optimizing and evaluating the ecological purification scheme of river sewage

技术领域technical field

本发明涉及河道污水生态净化方案的优化评估方法,具体地说是一种利用模型模拟法对河道污水生态净化方案进行优化评估的方法。The invention relates to an optimization evaluation method for an ecological purification scheme of river sewage, in particular to a method for optimizing and evaluating an ecological purification scheme for river sewage by using a model simulation method.

背景技术Background technique

污水处理技术主要分为物理、化学和生态三类。过去几十年,物理、化学方法在国内外应用广泛,取得了较好的水质净化效果。物理方法虽然工艺设备简单、易于操作,处理效果十分明显,但往往治标不治本;化学方法虽然具有操作简单,用量少的优点,治理见效快,一般作为应急方案,但成本较高,容易引起二次污染。因此,近年来生态处理方法得到极大关注与广泛应用。Sewage treatment technologies are mainly divided into three categories: physical, chemical and ecological. In the past few decades, physical and chemical methods have been widely used at home and abroad, and have achieved good water purification effects. Although the physical method is simple in process equipment, easy to operate, and the treatment effect is very obvious, it often treats the symptoms but not the root cause; although the chemical method has the advantages of simple operation, less dosage, and quick treatment, it is generally used as an emergency plan, but the cost is high and it is easy to cause Secondary pollution. Therefore, ecological treatment methods have received great attention and been widely used in recent years.

污水的生态处理是依赖水、土壤、细菌、高等植物和阳光基本的自然要素,利用土壤-微生物-植物系统的自我调控机制和综合自净能力,完成污水的深度处理,同时通过对污水中水分和营养物的综合利用,实现尾水无害化和资源化再利用。污水生态处理广泛应用于原污水、河道污水,或尾水深度二级处理甚至三级处理的研究和实践。污水的生态处理技术是近年发展起来的一种废水处理技术,具有出水水质好、投资少、结构简单、操作管理便利及运行费用低的特点。The ecological treatment of sewage depends on the basic natural elements of water, soil, bacteria, higher plants and sunlight. The self-regulation mechanism and comprehensive self-purification ability of the soil-microbe-plant system are used to complete the advanced treatment of sewage. The comprehensive utilization of nutrients realizes the harmless and resourceful reuse of tail water. Sewage ecological treatment is widely used in the research and practice of raw sewage, river sewage, or tail water advanced secondary treatment or even tertiary treatment. The ecological sewage treatment technology is a kind of wastewater treatment technology developed in recent years. It has the characteristics of good effluent quality, low investment, simple structure, convenient operation and management, and low operating cost.

20世纪末,国内外学者开始研究污水处理技术的综合评估,其方法主要包括层次分析法评价、灰色系统评价、模糊综合评价、效益评价指数模型评价。近几年,国外学者就生态环境问题进行了全方位、多角度、多方面、定量化的评价研究。国内针对污水处理效果的综合评价理论和应用研究大多是采用层次分析法和模糊综合评价。这些研究均是针对污水处理效果的后评价,忽略了污水处理工程实施前的评估,在环境管理实践中缺乏实用性与前瞻性。At the end of the 20th century, scholars at home and abroad began to study the comprehensive evaluation of sewage treatment technology. The methods mainly include AHP evaluation, gray system evaluation, fuzzy comprehensive evaluation, and benefit evaluation index model evaluation. In recent years, foreign scholars have carried out all-round, multi-angle, multi-faceted and quantitative evaluation research on ecological and environmental issues. Most of domestic comprehensive evaluation theory and application research on sewage treatment effect adopts analytic hierarchy process and fuzzy comprehensive evaluation. These studies are all aimed at the post-evaluation of the sewage treatment effect, ignoring the pre-implementation evaluation of the sewage treatment project, and lack of practicability and forward-looking in environmental management practice.

目前的生态处理技术评估主要是针对单项处理技术或者某项处理方案效果的评估,忽略了污水处理工程实施前的优化评估,而且对于污水生态净化方案的定量优化评估研究目前尚未有报道。因此,亟需发明出实用可靠的污水生态净化技术方案定量优化评估方法,为污水生态净化方案的优化选择与效果评估提供依据。近年来,美国环保局研发的一维河流水质模型QUAL2K模型在河流、流域水质模拟预测中应用广泛,该模型能够较全面的反映污水中氮、磷、微生物、藻类的迁移转化,可以准确反映污水的水质水动力过程。因此,本发明采用QUAL2K模型,对河道污水生态净化技术方案进行优化评估,为环境管理部门水污染防治的提供一种新的思路和评估方法。The current ecological treatment technology evaluation is mainly aimed at the evaluation of the effect of a single treatment technology or a certain treatment plan, ignoring the optimization evaluation before the implementation of the sewage treatment project, and there is no report on the quantitative optimization evaluation of the sewage ecological purification plan. Therefore, it is urgent to invent a practical and reliable quantitative optimization evaluation method for ecological sewage purification technology schemes, so as to provide a basis for the optimal selection and effect evaluation of sewage ecological purification schemes. In recent years, the one-dimensional river water quality model QUAL2K model developed by the U.S. Environmental Protection Agency has been widely used in the simulation and prediction of river and basin water quality. This model can comprehensively reflect the migration and transformation of nitrogen, phosphorus, microorganisms, and algae in sewage, and can accurately reflect sewage water quality hydrodynamic process. Therefore, the present invention adopts the QUAL2K model to optimize and evaluate the technical scheme of ecological purification of river sewage, and provides a new idea and evaluation method for the environmental management department to prevent and control water pollution.

发明内容Contents of the invention

1.发明要解决的技术问题1. The technical problem to be solved by the invention

本发明的目的是提供一种利用模型模拟法对河道污水生态净化方案进行优化评估的方法。采用水质模型模拟多个生态处理单元排列组合的各种生态净化方案,通过层析分析法综合评估筛选出效果最优方案,为环境管理部门提供决策支持,该方法可以有效解决生态江湖方案优化选择的问题。The purpose of the present invention is to provide a method for optimizing and evaluating the ecological purification scheme of river sewage by using the model simulation method. The water quality model is used to simulate various ecological purification schemes for the arrangement and combination of multiple ecological treatment units, and the optimal scheme is selected through the comprehensive evaluation of the tomographic analysis method to provide decision support for the environmental management department. This method can effectively solve the optimal selection of ecological rivers and lakes schemes The problem.

2.技术方案2. Technical solution

一种优化评估河道污水生态净化方案的方法,其步骤为:(1)应用QUAL2K模型模拟河道水动力与水质,对模型参数进行校准与验证;(2)设计现场实验,采用挺水植物、浮叶植物、沉水植物、漂浮植物四个生态处理单元分别处理河水;(3)通过生态处理现场实验数据,计算得出挺水植物、浮叶植物、沉水植物、漂浮植物四个生态处理单元的降解系数;(4)由挺水植物、浮叶植物、沉水植物、漂浮植物四个单元排列组合为24种生态净化方案,采用现场实验得到的降解系数,通过QUAL2K模型模拟24种不同的生态净化方案;(5)计算各种方案末端出水的污染物去除率,采用层次分析法综合评估得到最优生态净化方案。通过本发明的运用,可以有效解决生态净化方案优化选择的问题,为环境管理部门提供决策支持。A method for optimizing and evaluating the ecological purification scheme of river sewage, the steps of which are: (1) apply the QUAL2K model to simulate river hydrodynamics and water quality, and calibrate and verify the model parameters; (2) design field experiments, using emergent plants, floating Four ecological treatment units of leaf plants, submerged plants and floating plants respectively treat river water; (3) Based on the field experiment data of ecological treatment, four ecological treatment units of emergent plants, floating leaf plants, submerged plants and floating plants are calculated (4) The four units of emergent plants, floating plants, submerged plants and floating plants are arranged and combined into 24 kinds of ecological purification schemes, and the degradation coefficient obtained from the field experiment is used to simulate 24 different kinds of ecological purification schemes through the QUAL2K model. Ecological purification scheme; (5) Calculate the pollutant removal rate of the terminal effluent of various schemes, and use the analytic hierarchy process to comprehensively evaluate to obtain the optimal ecological purification scheme. Through the application of the invention, the problem of optimal selection of the ecological purification scheme can be effectively solved, and decision support can be provided for the environmental management department.

1)通过实地调查与资料收集,完成河道模拟所需的数据,包括河道宽度、河道深度、流速、流量水动力水文数据,化学需氧量(COD)、硝氮(NO3-N)、氨氮(NH3-N)、总氮(TN)、总磷(TP)水质数据,点源、面源污染源数据,应用QUAL2K模型模拟尾水河道的水动力与水质数据,并与实测数据进行对比分析,进行河道模型参数的校准与验证。1) Through field investigation and data collection, complete the data required for river channel simulation, including channel width, channel depth, flow velocity, flow hydrodynamic hydrological data, chemical oxygen demand (COD), nitrate nitrogen (NO 3 -N), ammonia nitrogen (NH 3 -N), total nitrogen (TN), total phosphorus (TP) water quality data, point source and non-point source pollution source data, apply the QUAL2K model to simulate the hydrodynamic and water quality data of the tailwater channel, and compare and analyze with the measured data , to calibrate and verify the channel model parameters.

2)设计现场实验,采用挺水植物、浮叶植物、沉水植物、漂浮植物四个生态处理单元分别处理河水。实验安排在气温变化不大、植物生长旺盛、微生物增殖较快的春夏季节。控制实验装置中的水流流量、流速与河道相同,采样后现场对每个单元进、出水水质进行监测。2) Design a field experiment, using four ecological treatment units of emergent plants, floating leaf plants, submerged plants and floating plants to treat river water respectively. The experiment was arranged in spring and summer when the temperature did not change much, the plants grew vigorously, and the microorganisms proliferated rapidly. The flow rate and velocity of the water flow in the experimental device are controlled to be the same as those of the river, and the water quality of the inflow and outflow of each unit is monitored on site after sampling.

3)通过生态处理现场实验,得到4个单元对COD、NO3-N、NH3-N、无机磷、有机氮、有机磷的处理结果数据,采用一级动力学反应方程计算得出各生态处理单元对污水中主要水质指标的降解系数,包括COD氧化速率、硝氮反消化速率、氨氮硝化速率、无机磷吸收速率、有机氮水解速率、有机磷水解速率。由于实验用水为污染河道现场取水,实验设计流速与河道流速一致,因此水质状况相同、水动力状况相似,计算得到的参数应用于河道生态净化技术模拟是合理可靠的。3) Through the field experiment of ecological treatment, the treatment result data of 4 units on COD, NO 3 -N, NH 3 -N, inorganic phosphorus, organic nitrogen and organic phosphorus were obtained, and the first-order kinetic reaction equation was used to calculate the ecological The degradation coefficient of the treatment unit on the main water quality indicators in sewage, including COD oxidation rate, nitrate nitrogen de-digestion rate, ammonia nitrogen nitrification rate, inorganic phosphorus absorption rate, organic nitrogen hydrolysis rate, and organic phosphorus hydrolysis rate. Since the water used in the experiment is taken from the polluted river on-site, and the design flow velocity of the experiment is consistent with the flow velocity of the river, so the water quality and hydrodynamic conditions are similar, and the calculated parameters are reasonable and reliable for the simulation of river ecological purification technology.

一级动力学反应方程,即C=C0e-Kt,由式可得降解系数K=t-1lnC0/C,式中:t为反应时间,d;K为氨氮降解系数,1/d;c为t时刻测定的污染物浓度,mg/L;C0为污染物的初始浓度,mg/L。The first-order kinetic reaction equation, that is, C=C 0 e -Kt , the degradation coefficient K=t -1 lnC 0 /C can be obtained from the formula, where: t is the reaction time, d; K is the ammonia nitrogen degradation coefficient, 1/ d; c is the pollutant concentration measured at time t, mg/L; C 0 is the initial concentration of pollutants, mg/L.

4)在不同河段设置不同单元的降解系数,能够模拟不同的生态处理单元对污水的净化过程。将河道划分为4个河段,把各生态处理单元的降解系数输入水质模型中对应河段,代表模拟各种不同的方案。挺水植物、浮叶植物、沉水植物、漂浮植物可排列组合为24种生态净化方案。根据现场实验得到的降解系数设定各河段主要水质参数,采用QUAL2K模型模拟24种生态净化方案分别在河道中的实施。QUAL2K模型是美国环保局研发的一个综合性、多样化的河流水质模型,适用于模拟完全混合的枝状河流水质。4) Setting the degradation coefficients of different units in different river sections can simulate the purification process of sewage by different ecological treatment units. The river course is divided into 4 river sections, and the degradation coefficient of each ecological treatment unit is input into the corresponding river section in the water quality model, representing various simulation schemes. Emergent plants, floating leaf plants, submerged plants and floating plants can be arranged and combined into 24 kinds of ecological purification schemes. According to the degradation coefficient obtained from the field experiment, the main water quality parameters of each river section were set, and the QUAL2K model was used to simulate the implementation of 24 ecological purification schemes in the river course. The QUAL2K model is a comprehensive and diverse river water quality model developed by the US Environmental Protection Agency, which is suitable for simulating the water quality of fully mixed branched rivers.

5)由模拟结果计算得出各种方案对主要水质指标的去除率,采用COD、NO3-N、NH3-N、无机磷、有机氮、有机磷主要水质指标建立生态净化方案效果评估指标体系,然后采用比率标度法计算得出各水质因子的权重系数,最后通过层次分析法综合评估得到最优生态净化方案。5) Calculate the removal rate of various schemes for main water quality indicators from the simulation results, and use the main water quality indicators of COD, NO 3 -N, NH 3 -N, inorganic phosphorus, organic nitrogen, and organic phosphorus to establish the effect evaluation indicators of ecological purification schemes system, and then use the ratio scaling method to calculate the weight coefficients of each water quality factor, and finally obtain the optimal ecological purification scheme through comprehensive evaluation by the analytic hierarchy process.

层次分析法是指将一个复杂的多目标决策问题作为一个系统,将目标分解为多个目标或准则,进而分解为多指标的若干层次,通过定性指标模糊量化方法算出层次单排序(权数)和总排序,以作为目标(多指标)、多方案优化决策的系统方法。比率标度法主要用于人们估计事物的质量区别,一般可以用5种判别很好地表示出来,当需要更高的精度时,还可以在相临判别之间做出比较,从而形成9种判别,用数量表示就是9个标度。Analytic Hierarchy Process refers to taking a complex multi-objective decision-making problem as a system, decomposing the goal into multiple goals or criteria, and then decomposing it into several levels of multi-indicators, and calculating the single ranking (weight) And total ranking, as a systematic method for objective (multi-indicator), multi-program optimization decision-making. The ratio scale method is mainly used for people to estimate the quality difference of things, which can be well expressed by five kinds of discrimination. When higher precision is required, comparison can be made between adjacent discriminations to form nine kinds of discrimination. Discrimination, represented by quantity, is 9 scales.

根据比率标度法,得到各种指标的成对比较判断优选矩阵,计算得到初始权重系数,然后归一化权重系数。将归一化权重系数代入综合评价公式Ai=W1R1+W2R2+…+WmRm(i=1,2......24,m=1,2......),得到各方案污染物去除效果的综合评价指数值。其中:Ai为第i个方案污染物去除效果综合评价指数值,m为水质因子个数,R为子各水质因子去除率,W为各水质因子权重系数。According to the ratio scaling method, the pairwise comparison and judgment optimization matrix of various indicators is obtained, and the initial weight coefficient is calculated, and then the weight coefficient is normalized. Substitute the normalized weight coefficient into the comprehensive evaluation formula A i =W 1 R 1 +W 2 R2+...+W m R m (i=1, 2...24, m=1, 2.... ..) to obtain the comprehensive evaluation index value of the pollutant removal effect of each scheme. Among them: A i is the comprehensive evaluation index value of pollutant removal effect of the i-th scheme, m is the number of water quality factors, R is the removal rate of each water quality factor, and W is the weight coefficient of each water quality factor.

3.本发明的有益效果3. Beneficial effects of the present invention

通过本发明的运用,能在多种生态净化技术的众多组合方案中得到效果最优方案,有效解决生态净化方案优化选择的问题,提供环境管理部门决策参考,避免效果不佳或不能达到预期目标的设计方案得以实施,节约人力、物力、财力,使社会、经济、环境效益最大化。Through the application of the present invention, the optimal solution can be obtained among many combination schemes of various ecological purification technologies, effectively solve the problem of optimal selection of ecological purification schemes, provide decision-making references for environmental management departments, and avoid poor effects or failure to achieve expected goals The design scheme can be implemented, saving manpower, material and financial resources, and maximizing social, economic and environmental benefits.

附图说明Description of drawings

图1-本发明的技术流程框图。Fig. 1 - technical flow diagram of the present invention.

图2-生态处理现场实验设计示意图,其中1代表进水,2代表挺水植物,3代表浮叶植物,4代表沉水植物,5代表漂浮植物,6代表出水。Fig. 2 - Schematic diagram of ecological treatment field experiment design, where 1 represents water inflow, 2 represents emergent plants, 3 represents floating leaf plants, 4 represents submerged plants, 5 represents floating plants, and 6 represents effluent.

具体实施方式Detailed ways

以太湖流域官林污水处理厂为例,应用本发明方法对出水河道尾水进行了生态净化方案的优化评估。官林镇污水处理厂位于积梅河北侧工业区,出水流经300米的出水河道流入滆湖支流孟津河。应用QUAL2K模型模拟出水河道的水动力与水质,进行参数校验。Taking the Guanlin Sewage Treatment Plant in the Taihu Lake Basin as an example, the method of the present invention was used to optimize the ecological purification scheme for the tail water of the effluent channel. Guanlin Town Sewage Treatment Plant is located in the industrial area on the north side of the Jimei River. The effluent flows through a 300-meter outlet channel into the Mengjin River, a tributary of Gehu Lake. Apply the QUAL2K model to simulate the hydrodynamics and water quality of the outlet channel, and perform parameter verification.

对官林污水处理厂尾水设计生态净化实验设计见图2。采用浮叶植物圆币草、漂浮植物睡莲、沉水植物狐尾藻、挺水植物鸢尾分别对尾水进行处理。每个生态净化单元长80米,宽20米,设计的水深40cm,出流流量使每个单元的水力停留时间是1天。尾水首先进入集水池,初沉后流入圆币草、睡莲、狐尾藻、鸢尾四个单元中。圆币草种植于长20m,宽2m的浮床上,垂直于水流方向放置8个;睡莲直接栽植于生态净化单元中,种植密度为1株/m2狐尾藻布置密度为0.3kg/m3;鸢尾植株高度范围在20-30em,种植横纵间隔均为10em。See Figure 2 for the experimental design of ecological purification of the tail water of Guanlin Wastewater Treatment Plant. The tail water was treated with the floating leaf plant A. spp., the floating plant water lily, the submerged plant Pleurotus chinensis, and the emergent plant Iris. Each ecological purification unit is 80 meters long, 20 meters wide, and the designed water depth is 40cm. The outflow flow makes the hydraulic retention time of each unit 1 day. The tail water first enters the sump, and after the initial sinking, flows into the four units of the plant, the water lily, the foxtail, and the iris. Planted on a floating bed with a length of 20m and a width of 2m, 8 plants are placed perpendicular to the direction of water flow; water lilies are directly planted in the ecological purification unit, with a planting density of 1 plant/m 2 and a density of 0.3kg/m 3 ; The plant height range of iris is 20-30em, and the horizontal and vertical intervals of planting are both 10em.

通过实验监测的进水浓度和出水浓度,采用一级动力学反应方程计算得到各生态处理单元的主要水质降解系数,包括COD氧化速率、硝氮反消化速率、氨氮硝化速率、无机磷吸收速率、有机氮水解速率、有机磷水解速率。由圆币草、睡莲、狐尾藻、鸢尾四个单元排列组合为24种方案。将官林污水处理厂出水河道划分为四段,每段75m。根据现场实验得到的降解系数设定各河段主要水质参数,主要降解系数分别为COD氧化速率、硝氮反硝化速率、氨氮硝化速率、无机磷吸收速率、有机氮水解速率、有机磷水解速率。采用QUAL2K模拟六种生态净化方案,得到各方案的水质指标出水浓度。根据生态净化方案模拟结果与河道末端出水浓度,计算得到各方案主要水质因子的去除率。Through the influent concentration and effluent concentration monitored by the experiment, the main water quality degradation coefficients of each ecological treatment unit are calculated by using the first-order kinetic reaction equation, including COD oxidation rate, nitrate nitrogen de-digestion rate, ammonia nitrogen nitrification rate, inorganic phosphorus absorption rate, The hydrolysis rate of organic nitrogen and the hydrolysis rate of organic phosphorus. There are 24 schemes arranged and combined by the four units of Yuanbi grass, water lily, foxtail algae and iris. Divide the effluent channel of Guanlin Sewage Treatment Plant into four sections, each 75m long. The main water quality parameters of each river section were set according to the degradation coefficient obtained from field experiments. The main degradation coefficients were COD oxidation rate, nitrate nitrogen denitrification rate, ammonia nitrogen nitrification rate, inorganic phosphorus absorption rate, organic nitrogen hydrolysis rate, and organic phosphorus hydrolysis rate. Using QUAL2K to simulate six ecological purification schemes, the effluent concentration of water quality indicators of each scheme was obtained. According to the simulation results of ecological purification schemes and the effluent concentration at the end of the river, the removal rate of the main water quality factors of each scheme was calculated.

采用COD、NO3-N、NH3-N、无机磷、有机氮、有机磷6个水质指标建立生态净化方案效果评估指标体系。采用比率标度法,计算得到COD、NO3-N、NH3-N、无机磷、有机氮、有机磷的权重系数分别为0.19、0.27、0.21、0.12、0.13、0.08。将权重系数代入综合评价公式得到24种方案的污染物去除效果评价指数值。结果表明,依次设计漂浮植物、沉水植物、浮叶植物、挺水植物的方案对尾水污染物去除效果最佳。The six water quality indicators of COD, NO 3 -N, NH 3 -N, inorganic phosphorus, organic nitrogen and organic phosphorus were used to establish an evaluation index system for the effect of ecological purification schemes. Using the ratio scale method, the weight coefficients of COD, NO 3 -N, NH 3 -N, inorganic phosphorus, organic nitrogen, and organic phosphorus were calculated to be 0.19, 0.27, 0.21, 0.12, 0.13, and 0.08, respectively. The weight coefficients were substituted into the comprehensive evaluation formula to obtain the evaluation index values of pollutant removal effects of 24 schemes. The results show that the plan of designing floating plants, submerged plants, floating leaf plants and emergent plants in sequence has the best effect on the removal of tail water pollutants.

以上所述,仅是本发明的实施案例而已,并非是对本发明作其它形式的限制,任何熟悉本专业的技术人员可能利用上述揭示的技术内容加以变更或改型为等同变化的等效实施例。但是凡是未脱离本发明技术方案内容,依据本发明的技术实质对以上实施例所作的任何简单修改、等同变化与改型,仍属于本发明技术方案的保护范围。The above is only an example of the implementation of the present invention, and is not intended to limit the present invention in other forms. Any skilled person who is familiar with this field may use the technical content disclosed above to change or modify it into an equivalent embodiment with equivalent changes. . However, any simple modifications, equivalent changes and modifications made to the above embodiments according to the technical essence of the present invention without departing from the content of the technical solution of the present invention still belong to the protection scope of the technical solution of the present invention.

Claims (5)

1.一种优化评估河道污水生态净化方案的方法,其步骤为:(1)应用QUAL2K模型模拟河道水动力与水质,对模型参数进行校准与验证;(2)设计现场实验,采用挺水植物、浮叶植物、沉水植物、漂浮植物四个生态处理单元分别处理河水;(3)通过生态处理现场实验数据,计算得出挺水植物、浮叶植物、沉水植物、漂浮植物四个生态处理单元的降解系数;(4)由挺水植物、浮叶植物、沉水植物、漂浮植物四个单元排列组合为24种生态净化方案,采用现场实验得到的降解系数,通过QUAL2K模型模拟24种不同的生态净化方案;(5)计算各种方案末端出水的污染物去除率,采用层次分析法综合评估得到最优生态净化方案。1. A method for optimizing and evaluating the ecological purification scheme of river sewage, the steps of which are: (1) apply the QUAL2K model to simulate river hydrodynamics and water quality, and calibrate and verify the model parameters; (2) design field experiments, using emergent plants The four ecological treatment units of floating plants, floating plants, submerged plants and floating plants respectively treat river water; The degradation coefficient of the treatment unit; (4) 24 kinds of ecological purification schemes are arranged and combined by the four units of emergent plants, floating plants, submerged plants and floating plants. The degradation coefficient obtained from the field experiment is used to simulate 24 kinds of ecological purification schemes through the QUAL2K model Different ecological purification schemes; (5) Calculate the pollutant removal rate of the terminal effluent of various schemes, and use the analytic hierarchy process to comprehensively evaluate to obtain the optimal ecological purification scheme. 2.根据权利要求1所述的一种优化评估河道污水生态净化方案的方法,其特征在于将生态处理单元现场实验得到的降解系数输入水质模型,采用QUAL2K模型模拟各单元组合的生态净化方案。2. A method for optimizing and evaluating the ecological purification scheme of river sewage according to claim 1, characterized in that the degradation coefficient obtained by the field experiment of the ecological treatment unit is input into the water quality model, and the QUAL2K model is used to simulate the ecological purification scheme of each unit combination. 3.根据权利要求1所述的一种优化评估河道污水生态净化方案的方法,其特征在于挺水植物、浮叶植物、沉水植物、漂浮植物四个生态处理单元的降解系数通过现场实验实测数据计算获得。3. a kind of method for optimizing and evaluating the ecological purification scheme of river channel sewage according to claim 1 is characterized in that the degradation coefficients of four ecological treatment units of emergent plants, floating leaf plants, submerged plants and floating plants are measured by field experiments Data calculations are obtained. 4.根据权利要求1所述的一种优化评估河道污水生态净化方案的方法,其特征在于通过水质模型模拟方法对生态净化方案进行优化评估。4. A method for optimizing and evaluating the ecological purification scheme of river sewage according to claim 1, characterized in that the ecological purification scheme is optimized and evaluated by a water quality model simulation method. 5.根据权利要求1所述的一种优化评估河道污水生态净化方案的方法,其特征在于通过该方法的运用,能在多种生态净化技术的众多组合方案中得到效果最优方案,有效解决生态净化方案优化选择的问题,为环境管理部门提供决策支持。5. according to claim 1, a kind of method for optimizing and evaluating the ecological purification scheme of river channel sewage is characterized in that, through the application of the method, the optimal scheme of effect can be obtained in many combined schemes of multiple ecological purification technologies, effectively solving the problem of The problem of optimal selection of ecological purification schemes provides decision support for environmental management departments.
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CN105279704A (en) * 2015-09-25 2016-01-27 天津大学 Method for forming regulation and control plan for response to emergency water pollution event in long-distance water transfer project
CN106396115A (en) * 2016-11-07 2017-02-15 南大(常熟)研究院有限公司 Highly efficient constructed wetland purification system for farmland tail water
CN111539580A (en) * 2020-04-30 2020-08-14 上海市园林科学规划研究院 Multi-scheme optimization method for urban greening ecological technology integration application
CN118235148A (en) * 2023-09-12 2024-06-21 南京大学 Reconstruction method and system of wastewater biological treatment process based on machine learning

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CN104077487A (en) * 2014-07-04 2014-10-01 南京大学 Method for simulating optimized water quality improvement scheme by virtue of water quality model

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Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105279704A (en) * 2015-09-25 2016-01-27 天津大学 Method for forming regulation and control plan for response to emergency water pollution event in long-distance water transfer project
CN105279704B (en) * 2015-09-25 2019-02-01 天津大学 The regulation method for generating plan of long distance water transfer project reply burst water contamination accident
CN106396115A (en) * 2016-11-07 2017-02-15 南大(常熟)研究院有限公司 Highly efficient constructed wetland purification system for farmland tail water
CN111539580A (en) * 2020-04-30 2020-08-14 上海市园林科学规划研究院 Multi-scheme optimization method for urban greening ecological technology integration application
CN118235148A (en) * 2023-09-12 2024-06-21 南京大学 Reconstruction method and system of wastewater biological treatment process based on machine learning
WO2024159750A1 (en) * 2023-09-12 2024-08-08 南京大学 Biological wastewater treatment process reconstruction method and system based on machine learning
CN118235148B (en) * 2023-09-12 2024-12-10 南京大学 Reconstruction method and system of wastewater biological treatment process based on machine learning

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