A Study On The Prediction And Optimization Of The Scale Of Rural Domestic Sewage In Southern Henan

According to our China’s seventh census data,there are about 509.79 million people living in rural areas in China at this stage,accounting for about 1/3 of the country’s total population.According to the per capita pollutant discharge rate of 30-50L/d,the annual discharge of rural sewage is about 5.58 billion tons.～9.3 billion tons.With the continuous increase in the amount of domestic sewage,the threats to the safety of water sources and the water environment and natural environment continue to increase.In order to deal with the problem of rural domestic sewage pollution,the state and Henan Province have successively issued various policies and regulations.However,due to the large differences between villages,the standard recommended sewage volume prediction parameters have a relatively wide range of values;in addition,the current level of rural domestic sewage The special research on treatment is shallow,and the problem of inaccurate prediction of the actual sewage volume is more prominent,causing the problem that the actual operating water volume of the treatment facility is quite different from the designed water volume and cannot operate normally.Compared with the whole province,the southern Henan region(mainly including Nanyang City,Zhumadian City and Xinyang City)studied in this article has a more southern lifestyle and high water resources per capita(approximately 1.9 times of the province’s per capita water resources).This has also caused differences in water consumption and water usage habits.Therefore,the prediction of sewage volume in this area should be further studied in accordance with the local characteristics of the prediction parameters with reference to the relevant norms and standards issued by Henan Province.In order to solve the problem that the sewage volume prediction basis in the rural sewage treatment design in southern Henan is too broad and the sewage volume is difficult to accurately predict.Taking Huangchuan County as an example,this article uses the "Special Planning for Rural Domestic Sewage Treatment in Huangchuan County" as an opportunity to investigate the actual situation in local rural areas in detail.Taking Yingcun as an example,the project case design was carried out,and the following research results were obtained by comparing the operating data and design data of three villages,and combining the survey data of other 60 villages in the area:(1)Taking Huangchuan County of Xinyang City as the object,a detailed investigation of the area’s water resources and water environment characteristics,rural water consumption,rural sewage volume characteristics and rural sewage treatment status in the area,and summarizing the area’s water consumption and sewage water quality and quality Features provide basic information for the follow-up rural sewage treatment projects in this area and adjacent similar areas,especially for the prediction of sewage volume.(2)Through the investigation and data collation,combined with statistics and other subject knowledge and engineering experience,propose the parameter value method and design ideas for different types of villages in the sewage volume prediction,and select three typical villages for design,and summarize Design ideas for rural sewage treatment in line with local conditions.(3)Using local survey data,the villages are divided into:①villages on the edge of towns;②villages with better sewage collection;③three types of other ordinary villages,respectively,to study the laws of three different local rural sewage discharges.(4)According to the characteristics of the three types of villages in ①th e villages on the edge of towns;②the sewage collection is relatively perfect;③other ordinary villages,analyze the defects in the current rural sewage prediction and the skills of technical norms application,and then combine the investigation of different types of surrounding villages Based on the analysis of sewage volume data,the correction coefficients μ1=1.28±0.087 and μ2=0.64±0.044 for the prediction of sewage volume in this area are obtained.