Mrinmoy Majumder | National Institute of Technology, Agartala (original) (raw)
Papers by Mrinmoy Majumder
SpringerBriefs in energy, 2016
SpringerBriefs in energy, 2016
SpringerBriefs in energy, 2016
The present study tries to highlight the need of a medium which can represent the status of hydro... more The present study tries to highlight the need of a medium which can represent the status of hydropower plants under changed climatic scenario. The medium was made to be logical and cognitive. In this regard the advantages of Analytical Hierarchy Process and Group Method of Data Handling was applied. The results from the performance metrics and sensitivity analysis confirms about the reliability of the model which were selected from 28 different configurations developed to predict the same output. The climatic impact on six different hydropower plants were also analyzed with the help of the indicator. It was found that power plants in Australia was the most and the plant in Ghana was the least vulnerable to climate change.
The ever-growing demand for luxury has increased the stress on conventional energy sources and en... more The ever-growing demand for luxury has increased the stress on conventional energy sources and encourages scientists and engineers to look for alternatives. Hydropower is by far the most inexpensive but reliable source of energy which is deemed to have the capacity to substitute for conventional energy sources. The worldwide contribution of hydropower plants (HPP) in supplying the demand for electricity is 1106 TWh. The problem with hydropower lies with the fact that its efficiency depends on multiple factors which are a function of climatic, hydraulic and socio-economic parameters. All these parameters again depend upon hydraulic loss imposed due to time in use, change in energy requirements, locational interference and quality of the machine installed. As there are multiple parameters having different levels of influence on the performance efficiency of HPP. Thus some factors are overrated and some others remain under rated which results in erroneous decision-making. The present study proposes a new hybrid model based on Decision-Making Trial and Evaluation Laboratory (DEMATEL) with Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS). The priorities are determined by hybrid method namely DEMATEL- TOPSIS. According to the results, efficiency of generator is most significant for efficiency of HPP
The urban book series, 2017
The high-altitude lake systems of the Himalayas in Kashmir and Ladakh have unique variations in t... more The high-altitude lake systems of the Himalayas in Kashmir and Ladakh have unique variations in their water chemistry and fauna and flora. In the eastern Himalaya a number of small and medium wetland site occur in Sikkim, Arunachal Pradesh, Assam and Manipur. The lower foothills and duras area of the eastern Himalaya abound numerous beels and shaurs (shallow marshes with tall weed vegetation). Some aspects of the problems are faced by the wetlands of the hilly areas of North East. In West Bengal tourism map Mirik Lake has been included as a unique wetland having wide biodiversity and natural aesthetic beauty. Characteristically, Mirik Lake is a manmade wetland situated in valley in circle by hill ridges with extensive natural drainage network. Unfortunately, Mirik Lake is subjected to manmade pollution resulting in deterioration in water quality. In recent years efforts have been taken for abatement of pollution of the lake through diversion and treatment of sewage/sullage. Proper attention need to be paid by the concern authority for the conservation of the Mirik Lake. People should be aware and motivated so as to participate in the Mirik Lake conservation programme. The present paper examines the main sources of the threat and goes through the appropriate management strategy to mitigate this problem. Here Hydrologic Modelling System was used to estimate the present and future water availability of Mirik Lake by keeping all hydrological-related parameters. Water quality status of both present and future contexts was analysed and performed using artificial neural network.
SpringerBriefs in energy, 2016
The Coastal management systems are mainly constitute different subcomponents. The performance of ... more The Coastal management systems are mainly constitute different subcomponents. The performance of the Coastal surrounding system depends on the performance of these subcomponents. But as pet the previous related studies no attempt was made in identification of the optimal ratio of subcomponent contributions to ensure maximum productivity. Again, there is a lack of scientific endeavors in relation to the determination of the priority of the components in ensuing the coastal vulnerability in coastal management system. The present study will try to identify the priority and optimal ration of contribution required from the components of a Coastal Vulnerability of Coastal Surrounding system. In this regard the advantages of Multi Criteria Decision Making and nature-based algorithms were used and once identified the outcome was validated by a physical model. According to the results of Potential Hydraulic Energy from Wave (PE) and Distance of sea from Coast of a coastal management system m...
The approval of any new hydropower projects always includes the evaluation of financial feasibili... more The approval of any new hydropower projects always includes the evaluation of financial feasibility. This aspect of Hydropower plants depends upon the recovery time of the initial investments and potential of profit from the plant. Although the above two factors are functions of many other related parameter, identifying the most important parameters will help to optimally control the overall cost with minimum effort. For this reason the present investigation tries to identify the priorities of the related factors at the point of maximum profit. The conventional practices of feasibility analysis give equal importance to all the related factors. But in reality not all the factors have the same importance. Thus some factors are overrated and some others remain under rated which results in erroneous decision-making. The present study proposes a new hybrid model based on Fuzzy Analytical Hierarchy Process (FAHP) with Artificial Neural Network (ANN). The priorities are determined by FAHP ...
The importance of improved water quality from water treatment plants (WTP) is assorted by reason ... more The importance of improved water quality from water treatment plants (WTP) is assorted by reason of its direct impact on consumer health. According to the recent studies, alterations in climatic pattern have an effect on the concentration of different water quality parameters (WQP) and change in water quality may badly affect the efficiency of WTP also. This model first applies DEMATEL to find the weightage of the criteria and then NSFDSS is utilized to prioritize WQP based on its vulnerability towards climate change. The present study tried to find the weightage of the parameters of water treatment plant by using a hybrid MCDM model. According to the result, Efficiency of Clarifloccculator is found to be the most significant parameter in regulating the performance of Water Treatment Plants. The new hybrid model can be applied to evaluate the performance of a densely populated urban surface water treatment plant.
The Water Treatment Plants (WTP) ascertains supply of potable water for consumption in different ... more The Water Treatment Plants (WTP) ascertains supply of potable water for consumption in different types of industrial, agricultural and domestic units. The functionality of WTP is responsible for sustaining the condition of public health specifically for urban based units. It indicates that all the methods assign equal importance to each of the variables. That’s why procedures lack the ability to adapt with situations. In this aspect, the present investigation utilized MCDM and ANN in a cascaded framework to assess the plant performance based on Removal Efficiency, Energy Required, Operation and Maintenance Cost and Impact on Environment.The current research is an endeavour to implement the factors in amalgamation so that an extensive envision of the plant performance can be concluded. The new method is used to estimate the performance of WTP under 20 likely and unlikely scenarios. Model results were compared with the evaluation results from "Removal Efficiency" method and ...
International Journal of Mathematics and Computation, 2015
0.0127 m diameter rough pipe. In this paper, we have studied the effect of roughness parameter, e... more 0.0127 m diameter rough pipe. In this paper, we have studied the effect of roughness parameter, effect of liquid flow rate, effect of pseudoplasticity on static pressure, pressure drop, friction factor. Also, numerical simulation has been performed with the help of ANN and CFD software. Fluent 6.3 software predicts the flow structure, static pressure, pressure drop, and friction factor, shear stress, and shear strain. CFD predicted result is well matched with experimental result. ANN algorithm has been used to minimize the effect of roughness parameter, flow rate, pseudoplasticity on pressure drop and friction factor.
World Academy of Science, Engineering and Technology, International Journal of Energy and Power Engineering, 2015
The aim of this present investigation is to identify the most important risk factor for cancer by... more The aim of this present investigation is to identify the most important risk factor for cancer by means of a mathematical model. The study begin with considering some types of cancer viz breast, colorectum as well as Lung and Bronchus cancer as most of the cancer patients suffer from these types of cancers. Teaching-Learning-Based Optimization technique is applied to sorting out the most lethal cancer among all cancer consider in this study and it is found that Lung and Bronchus cancer is the most fatal. Further we investigate the risk factor associate to Lung and Bronchus cancer by means of Lliterature, Expert and Local Hospital survey. All the risk factor have their own importance for death from cancer in medical aspects. Multi-Criteria Decision Making technique is applied to recognize the most significant risk factor among all the factors in statistical scenario.
Agricultural Engineering International: The CIGR Journal, 2017
Global food demand is rising exponentially as the population is increasing. Protected farming is... more Global food demand is rising exponentially as the population is increasing. Protected farming is becoming increasingly popular among the farming communities for fast growing vine crops round the year. Consideration of crop growing parameters while designing and maintaining a protected farm is very important for optimal crop growth and profit. Many farmers does not consider all the crop growing parameters and does not know the importance of all factors in the optimal crop growth. In this paper, an attempt has been made to prioritize 12 crops growing parameters using fuzzy approach. 12 crop growing parameters were selected from the literature and scored by four different evaluation methods viz., food consumer importance, expert’s importance, farmer importance and food dealer importance. The results revealed that the descending order of relative importance of the 12 crop factors are water quality, light intensity, nutrient availability, crop cultivar, substrate media, daylight le...
Advances in Computer and Electrical Engineering, 2021
The chapter focuses on enhancing the permeate flux of helical shaped membrane using group method ... more The chapter focuses on enhancing the permeate flux of helical shaped membrane using group method of data handling (GMDH) algorithm. The variables such as operating pressure, pore size, and feed velocity were selected as input parameters, and permeate flux as model output. The uncertainty analysis evaluates the acceptability of the model, and it was found that values of Nash-Sutcliffe efficiency (NSE), the ratio of the root mean squared error to the standard deviation (RSR), percent bias (PBIAS) were close to the best value which shows the model acceptability. The effect of input parameters on model output is calibrated using sensitivity analysis. It shows that pore size is the most sensitive parameter followed by feed velocity. The optimum values of pore size, operating pressure, and feed velocity were calibrated and found to be 2.21µm, 1.31×10-03KPa, and 0.37m/sec, respectively. The errors in GMDH model were compared with multi linear regression (MLR) model. It shows that GMDH pred...
International Journal of Fluid Mechanics Research, 2019
International Journal of Energy Research, 2019
Hydro power plants are one of the most cost-effective renewable technologies which have the poten... more Hydro power plants are one of the most cost-effective renewable technologies which have the potential to replace the conventional fuels. However, reliability of the plant varies with time due to irregularity in flow pattern of the river which depends on the pattern of climatic parameters like precipitation and evapo-transpiration. The reliability of the plant performance also varies with the efficiency of the power equipment and conveyance coefficient of penstock, both of which are time dependent. When reliability reduces, performance efficiency also gets degraded. That is why, monitoring of reliability in hydro power plants is essential and required to be conducted periodically. But at present, such activities are expensive due to the requirement of extensive surveys, data collection and performance audits of the equipment and structures involved in the power production. There is a lack of single indicator based real time monitoring processes which can be utilized to continuously regulate the reliability of the power plant. Such system can reduce both cost and time required for conducting reliability assessment procedures. That is why, in the present study, an objective and cognitive technique was utilized to develop a single index for real time monitoring of the reliability of a power plant. The results indicate that efficiency of generator, levelized cost of electricity and rate of selling per unit electricity are the most significant indicator which have the capability to represent reliability. A model developed for the present study by Polynomial Neural Network also ensures that regular monitoring of reliability of an HPP is possible.
International Journal of Engineering & Technology, 2018
Hazen-William equation is used to estimate the Fluid flow in closed channel. There are various mo... more Hazen-William equation is used to estimate the Fluid flow in closed channel. There are various models for estimation of pipe flow, however the accuracy and reliability of models varies due to the empirical nature of the Hazen-William constant .the applicability of model also become constrained due to the dependency of constant on pipe material, dimension and flow potential. Different type of pipeline arranged in different Networks will require different value of the constant and is generally retrieved from the data collected for the pipe network. The case dependency of the model has makes the model erroneous and often subjective that is why the present study tries to propose a model which can be used for any network where the output will depend upon the inputs. In this aspect the soft computation techniques: - GMDH and PSO was utilized in an unconventional way to establish the value of CHW =f (H, L, V, D). According to result the GMDH becomes the better model than the PSO where the...
International Journal of Engineering & Technology, 2018
Soil erosion has become a major deterrent in any watershed management program. The erodibility of... more Soil erosion has become a major deterrent in any watershed management program. The erodibility of the soil from the river banks has degraded watersheds all over the world. That is why in any watershed development programmers’ erodibility of soil becomes a significant design parameter. However, there is lack of efficient simulation model for estimation of soil erosion. The existing models are location sensitive and mostly empirical nature in the present investigation, the authors tried to estimate the soil erodibility factor of the USLE method with the help of Enhanced PSO. The data for development of model is generated by Normalized Design of Experiment method which assumes that maximum and minimum value can be represented by I and O respectively. The same model was developed with the help of GMDH also. As per the model matrices of GMDH model shows better reliability. The selected model was applied to predict soil erodibility factor for 21 no’s of location in west Tripura region. Fr...
Environmental Policy and Law, 2018
SpringerBriefs in energy, 2016
SpringerBriefs in energy, 2016
SpringerBriefs in energy, 2016
The present study tries to highlight the need of a medium which can represent the status of hydro... more The present study tries to highlight the need of a medium which can represent the status of hydropower plants under changed climatic scenario. The medium was made to be logical and cognitive. In this regard the advantages of Analytical Hierarchy Process and Group Method of Data Handling was applied. The results from the performance metrics and sensitivity analysis confirms about the reliability of the model which were selected from 28 different configurations developed to predict the same output. The climatic impact on six different hydropower plants were also analyzed with the help of the indicator. It was found that power plants in Australia was the most and the plant in Ghana was the least vulnerable to climate change.
The ever-growing demand for luxury has increased the stress on conventional energy sources and en... more The ever-growing demand for luxury has increased the stress on conventional energy sources and encourages scientists and engineers to look for alternatives. Hydropower is by far the most inexpensive but reliable source of energy which is deemed to have the capacity to substitute for conventional energy sources. The worldwide contribution of hydropower plants (HPP) in supplying the demand for electricity is 1106 TWh. The problem with hydropower lies with the fact that its efficiency depends on multiple factors which are a function of climatic, hydraulic and socio-economic parameters. All these parameters again depend upon hydraulic loss imposed due to time in use, change in energy requirements, locational interference and quality of the machine installed. As there are multiple parameters having different levels of influence on the performance efficiency of HPP. Thus some factors are overrated and some others remain under rated which results in erroneous decision-making. The present study proposes a new hybrid model based on Decision-Making Trial and Evaluation Laboratory (DEMATEL) with Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS). The priorities are determined by hybrid method namely DEMATEL- TOPSIS. According to the results, efficiency of generator is most significant for efficiency of HPP
The urban book series, 2017
The high-altitude lake systems of the Himalayas in Kashmir and Ladakh have unique variations in t... more The high-altitude lake systems of the Himalayas in Kashmir and Ladakh have unique variations in their water chemistry and fauna and flora. In the eastern Himalaya a number of small and medium wetland site occur in Sikkim, Arunachal Pradesh, Assam and Manipur. The lower foothills and duras area of the eastern Himalaya abound numerous beels and shaurs (shallow marshes with tall weed vegetation). Some aspects of the problems are faced by the wetlands of the hilly areas of North East. In West Bengal tourism map Mirik Lake has been included as a unique wetland having wide biodiversity and natural aesthetic beauty. Characteristically, Mirik Lake is a manmade wetland situated in valley in circle by hill ridges with extensive natural drainage network. Unfortunately, Mirik Lake is subjected to manmade pollution resulting in deterioration in water quality. In recent years efforts have been taken for abatement of pollution of the lake through diversion and treatment of sewage/sullage. Proper attention need to be paid by the concern authority for the conservation of the Mirik Lake. People should be aware and motivated so as to participate in the Mirik Lake conservation programme. The present paper examines the main sources of the threat and goes through the appropriate management strategy to mitigate this problem. Here Hydrologic Modelling System was used to estimate the present and future water availability of Mirik Lake by keeping all hydrological-related parameters. Water quality status of both present and future contexts was analysed and performed using artificial neural network.
SpringerBriefs in energy, 2016
The Coastal management systems are mainly constitute different subcomponents. The performance of ... more The Coastal management systems are mainly constitute different subcomponents. The performance of the Coastal surrounding system depends on the performance of these subcomponents. But as pet the previous related studies no attempt was made in identification of the optimal ratio of subcomponent contributions to ensure maximum productivity. Again, there is a lack of scientific endeavors in relation to the determination of the priority of the components in ensuing the coastal vulnerability in coastal management system. The present study will try to identify the priority and optimal ration of contribution required from the components of a Coastal Vulnerability of Coastal Surrounding system. In this regard the advantages of Multi Criteria Decision Making and nature-based algorithms were used and once identified the outcome was validated by a physical model. According to the results of Potential Hydraulic Energy from Wave (PE) and Distance of sea from Coast of a coastal management system m...
The approval of any new hydropower projects always includes the evaluation of financial feasibili... more The approval of any new hydropower projects always includes the evaluation of financial feasibility. This aspect of Hydropower plants depends upon the recovery time of the initial investments and potential of profit from the plant. Although the above two factors are functions of many other related parameter, identifying the most important parameters will help to optimally control the overall cost with minimum effort. For this reason the present investigation tries to identify the priorities of the related factors at the point of maximum profit. The conventional practices of feasibility analysis give equal importance to all the related factors. But in reality not all the factors have the same importance. Thus some factors are overrated and some others remain under rated which results in erroneous decision-making. The present study proposes a new hybrid model based on Fuzzy Analytical Hierarchy Process (FAHP) with Artificial Neural Network (ANN). The priorities are determined by FAHP ...
The importance of improved water quality from water treatment plants (WTP) is assorted by reason ... more The importance of improved water quality from water treatment plants (WTP) is assorted by reason of its direct impact on consumer health. According to the recent studies, alterations in climatic pattern have an effect on the concentration of different water quality parameters (WQP) and change in water quality may badly affect the efficiency of WTP also. This model first applies DEMATEL to find the weightage of the criteria and then NSFDSS is utilized to prioritize WQP based on its vulnerability towards climate change. The present study tried to find the weightage of the parameters of water treatment plant by using a hybrid MCDM model. According to the result, Efficiency of Clarifloccculator is found to be the most significant parameter in regulating the performance of Water Treatment Plants. The new hybrid model can be applied to evaluate the performance of a densely populated urban surface water treatment plant.
The Water Treatment Plants (WTP) ascertains supply of potable water for consumption in different ... more The Water Treatment Plants (WTP) ascertains supply of potable water for consumption in different types of industrial, agricultural and domestic units. The functionality of WTP is responsible for sustaining the condition of public health specifically for urban based units. It indicates that all the methods assign equal importance to each of the variables. That’s why procedures lack the ability to adapt with situations. In this aspect, the present investigation utilized MCDM and ANN in a cascaded framework to assess the plant performance based on Removal Efficiency, Energy Required, Operation and Maintenance Cost and Impact on Environment.The current research is an endeavour to implement the factors in amalgamation so that an extensive envision of the plant performance can be concluded. The new method is used to estimate the performance of WTP under 20 likely and unlikely scenarios. Model results were compared with the evaluation results from "Removal Efficiency" method and ...
International Journal of Mathematics and Computation, 2015
0.0127 m diameter rough pipe. In this paper, we have studied the effect of roughness parameter, e... more 0.0127 m diameter rough pipe. In this paper, we have studied the effect of roughness parameter, effect of liquid flow rate, effect of pseudoplasticity on static pressure, pressure drop, friction factor. Also, numerical simulation has been performed with the help of ANN and CFD software. Fluent 6.3 software predicts the flow structure, static pressure, pressure drop, and friction factor, shear stress, and shear strain. CFD predicted result is well matched with experimental result. ANN algorithm has been used to minimize the effect of roughness parameter, flow rate, pseudoplasticity on pressure drop and friction factor.
World Academy of Science, Engineering and Technology, International Journal of Energy and Power Engineering, 2015
The aim of this present investigation is to identify the most important risk factor for cancer by... more The aim of this present investigation is to identify the most important risk factor for cancer by means of a mathematical model. The study begin with considering some types of cancer viz breast, colorectum as well as Lung and Bronchus cancer as most of the cancer patients suffer from these types of cancers. Teaching-Learning-Based Optimization technique is applied to sorting out the most lethal cancer among all cancer consider in this study and it is found that Lung and Bronchus cancer is the most fatal. Further we investigate the risk factor associate to Lung and Bronchus cancer by means of Lliterature, Expert and Local Hospital survey. All the risk factor have their own importance for death from cancer in medical aspects. Multi-Criteria Decision Making technique is applied to recognize the most significant risk factor among all the factors in statistical scenario.
Agricultural Engineering International: The CIGR Journal, 2017
Global food demand is rising exponentially as the population is increasing. Protected farming is... more Global food demand is rising exponentially as the population is increasing. Protected farming is becoming increasingly popular among the farming communities for fast growing vine crops round the year. Consideration of crop growing parameters while designing and maintaining a protected farm is very important for optimal crop growth and profit. Many farmers does not consider all the crop growing parameters and does not know the importance of all factors in the optimal crop growth. In this paper, an attempt has been made to prioritize 12 crops growing parameters using fuzzy approach. 12 crop growing parameters were selected from the literature and scored by four different evaluation methods viz., food consumer importance, expert’s importance, farmer importance and food dealer importance. The results revealed that the descending order of relative importance of the 12 crop factors are water quality, light intensity, nutrient availability, crop cultivar, substrate media, daylight le...
Advances in Computer and Electrical Engineering, 2021
The chapter focuses on enhancing the permeate flux of helical shaped membrane using group method ... more The chapter focuses on enhancing the permeate flux of helical shaped membrane using group method of data handling (GMDH) algorithm. The variables such as operating pressure, pore size, and feed velocity were selected as input parameters, and permeate flux as model output. The uncertainty analysis evaluates the acceptability of the model, and it was found that values of Nash-Sutcliffe efficiency (NSE), the ratio of the root mean squared error to the standard deviation (RSR), percent bias (PBIAS) were close to the best value which shows the model acceptability. The effect of input parameters on model output is calibrated using sensitivity analysis. It shows that pore size is the most sensitive parameter followed by feed velocity. The optimum values of pore size, operating pressure, and feed velocity were calibrated and found to be 2.21µm, 1.31×10-03KPa, and 0.37m/sec, respectively. The errors in GMDH model were compared with multi linear regression (MLR) model. It shows that GMDH pred...
International Journal of Fluid Mechanics Research, 2019
International Journal of Energy Research, 2019
Hydro power plants are one of the most cost-effective renewable technologies which have the poten... more Hydro power plants are one of the most cost-effective renewable technologies which have the potential to replace the conventional fuels. However, reliability of the plant varies with time due to irregularity in flow pattern of the river which depends on the pattern of climatic parameters like precipitation and evapo-transpiration. The reliability of the plant performance also varies with the efficiency of the power equipment and conveyance coefficient of penstock, both of which are time dependent. When reliability reduces, performance efficiency also gets degraded. That is why, monitoring of reliability in hydro power plants is essential and required to be conducted periodically. But at present, such activities are expensive due to the requirement of extensive surveys, data collection and performance audits of the equipment and structures involved in the power production. There is a lack of single indicator based real time monitoring processes which can be utilized to continuously regulate the reliability of the power plant. Such system can reduce both cost and time required for conducting reliability assessment procedures. That is why, in the present study, an objective and cognitive technique was utilized to develop a single index for real time monitoring of the reliability of a power plant. The results indicate that efficiency of generator, levelized cost of electricity and rate of selling per unit electricity are the most significant indicator which have the capability to represent reliability. A model developed for the present study by Polynomial Neural Network also ensures that regular monitoring of reliability of an HPP is possible.
International Journal of Engineering & Technology, 2018
Hazen-William equation is used to estimate the Fluid flow in closed channel. There are various mo... more Hazen-William equation is used to estimate the Fluid flow in closed channel. There are various models for estimation of pipe flow, however the accuracy and reliability of models varies due to the empirical nature of the Hazen-William constant .the applicability of model also become constrained due to the dependency of constant on pipe material, dimension and flow potential. Different type of pipeline arranged in different Networks will require different value of the constant and is generally retrieved from the data collected for the pipe network. The case dependency of the model has makes the model erroneous and often subjective that is why the present study tries to propose a model which can be used for any network where the output will depend upon the inputs. In this aspect the soft computation techniques: - GMDH and PSO was utilized in an unconventional way to establish the value of CHW =f (H, L, V, D). According to result the GMDH becomes the better model than the PSO where the...
International Journal of Engineering & Technology, 2018
Soil erosion has become a major deterrent in any watershed management program. The erodibility of... more Soil erosion has become a major deterrent in any watershed management program. The erodibility of the soil from the river banks has degraded watersheds all over the world. That is why in any watershed development programmers’ erodibility of soil becomes a significant design parameter. However, there is lack of efficient simulation model for estimation of soil erosion. The existing models are location sensitive and mostly empirical nature in the present investigation, the authors tried to estimate the soil erodibility factor of the USLE method with the help of Enhanced PSO. The data for development of model is generated by Normalized Design of Experiment method which assumes that maximum and minimum value can be represented by I and O respectively. The same model was developed with the help of GMDH also. As per the model matrices of GMDH model shows better reliability. The selected model was applied to predict soil erodibility factor for 21 no’s of location in west Tripura region. Fr...
Environmental Policy and Law, 2018