- author = "Basant Yadav",
- title = "Application of Soft Computing Techniques for Water Quantity and Quality Modeling",
- school = "Department of Civil Engineering, Indian Institute of Technology Delhi",
- year = "2017",
- address = "Delhi, India",
- month = "19 " # may,
- keywords = "genetic algorithms, genetic programming, water quality, salt water intrusion, BTEX contamination, ANN, SVM, ELM, OS-ELM, ELM-PSO, SEAWAT, aquifer",
- broken = "http://www.iitd.ac.in/content/basant-yadav-19052017",
-
abstract_url = "
http://www.iitd.ac.in/sites/default/files/phd/2013CEZ8051.pdf",
-
URL = "
http://eprint.iitd.ac.in/handle/2074/7306",
-
URL = "https://www.researchgate.net/publication/322962662_APPLICATION_OF_SOFT_COMPUTING_TECHNIQUES_FOR_WATER_QUANTITY_AND_QUALITY_MODELING",
-
URL = "http://eprint.iitd.ac.in/bitstream/2074/7306/1/TH-5229.pdf",
- size = "250 pages",
-
abstract = "Four water management problems are studied using
advanced simulation and optimization techniques. This
study is divided in two parts, the first part deals
with water quantity management problems whereas the
second part deals with water quality management
problems. In the first part, two water quantity
management problems are studied that include prediction
of discharge in rivers and groundwater level
predictions. In the second part of the study, two water
quality management problems are studied, that include
cost estimation of in-situ bioremediation and modelling
of saltwater intrusion in coastal aquifer.
Discharge forecasting in natural rivers is a complicated procedure because of uncertainties involved in the behaviour of the flood wave movement. This further leads to solving complex problems of hydrological modelling using soft computing techniques (data-driven models). In real time flood forecasting problems, the data generation is a continuous process. In short term flood forecasting where the accuracy of flood peak value and time to peak are critical, frequent model updating becomes unavoidable. An accurate discharge prediction in the least possible time using online sequential extreme learning machine (OS-ELM) can help policy makers and engineers design a flood control policy and flood warning systems. OS-ELM has not only been used in predictions for hydrological systems, but also for other areas related to environmental sciences. Similarly, a precise prediction of groundwater level using ELM would be very helpful to plan a groundwater abstraction policy in areas where groundwater fluctuations is very high. In case of an in-situ bioremediation system design, the remediation cost can be considerably reduced when an efficient and fast simulator like ELM is adopted. Further, the inclusion of biological clogging of wells while optimizing the cost in in-situ remediation provide a realistic view of the remediation cost. Likewise, the new soft computing techniques like SVM and ELM are a good alternative to the traditional soft computing techniques like ANN and found to be of immense importance while designing the management strategy to control seawater intrusion in coastal areas.",
-
notes = "TH-5229.pdf only first 28 pages,
researchgate
EN-2013CEZ8051
Supervisor: Shashi Mathur. Co supervsior: Sudheer Ch",
