Gross Solids Content Prediction in Urban WWTPs Using SVM

نویسندگان

چکیده

The preliminary treatment of wastewater at plants (WWTPs) is great importance for the performance and durability these plants. One fraction that removed this initial stage commonly called gross solids can cause various operational, downstream performance, or maintenance problems. To avoid this, data from more than two operation years Villapérez Wastewater Treatment Plant, located in northeast city Oviedo (Asturias, Spain), were collected used to develop a model predicts content reaches plant. support vector machine (SVM) method was modelling. achieved precision (Radj2 = 0.7 MSE 0.43) allows early detection trend changes arrival will improve plant operations by avoiding blockages overflows. results obtained indicate it possible predict as function selected input variables. This prevent suffering operational problems discharges untreated actions could be taken, such starting up pretreatment lines emptying containers.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Bankruptcy Prediction using SVM and Hybrid SVM Survey

Bankruptcy prediction has been a topic of active research for business and corporate organizations since past decades. It is an effective tool to help financial institutions and relevant people to make the right decision in investments, especially in the current competitive environment. The tool provides auditors and managers a chance to identify the problems early.

متن کامل

Content Based Image Retrieval Using SVM Algorithm

Conventional content-based image retrieval (CBIR) schemes employing relevance feedback may suffer from some problems in the practical applications. First, most ordinary users would like to complete their search in a single interaction especially on the web. Second, it is time consuming and difficult to label a lot of negative examples with sufficient variety. Third, ordinary users may introduce...

متن کامل

Content Based Image Retrieval Using SVM

Content based image retrieval has been emerged as the most innovative area for the research work from the last few years. Image retrieval is basically a method for the extract ion of most crucial characteristics of an image. The primary aim of th is content based image retrieval (CBIR) is to have the exact result within the short period of t ime. Content-based image retrieval is based on the co...

متن کامل

Prediction of cystine connectivity using SVM

One of the major contributors to protein structures is the formation of disulphide bonds between selected pairs of cysteines at oxidized state. Prediction of such disulphide bridges from sequence is challenging given that the possible combination of cysteine pairs as the number of cysteines increases in a protein. Here, we describe a SVM (support vector machine) model for the prediction of cyst...

متن کامل

Composite and Mutual Link Prediction using SVM in Social Networks

Link prediction is a key technique in many applications in social networks; where potential links between entities need to be predicted. Typical link prediction techniques deal with either uniform entities, i.e., company to company, applicant to applicant links, or non-mutual relationships, e.g., company to applicant links. However, there is a challenging problem of link prediction among the co...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Water

سال: 2021

ISSN: ['2073-4441']

DOI: https://doi.org/10.3390/w13040442