Impact of Subsurface Drainage System on Water Table and  Soil Hydologic Parameters

An estimation of optimal design parameters of subsurface drainage system through monitoring of water table depths and drain discharges are expensive in terms of time and money. The simulation modeling is an effective tool for estimation of drainage design parameters at less cost and short time. In view to this, calibration of DRAINMOD model for prediction of water table depths and drain discharges were conducted by installing subsurface drainage system with 40 m drain spacing and 1.0 m drain depth at Agricultural Research Station, Kasbe Digraj, Dist. Sangli (Maharashtra) during 2012-13 to 2013-14. The field data on water table depth and drain discharge were used for calibration of DRAINMOD model. The input data files on climatic, soil, crop and drainage design system parameters were attached to DRAINMOD model and calibrated successfully. It is found that both observed and simulated water table depths and drain discharges showed a fluctuating trend and predicted both water table depths and drain discharges closely with the observed values during frequent rainy days and following the rainy days. The DRAINMOD model reliably predicted water table depths with a goodness of fit (R2 = 0.97), MAE (12.23 cm), RMSE (15.49 cm) and CRM (0.05); drain discharges with R2 of 0.93, MAE of 0.095 mm day-1, RMSE of 0.1876 mm day-1and CRM of 0.04. Thus, the calibrated DRAINMOD model can be used to simulate the water table depths and drain discharges in semi-arid climatic conditions of Maharashtra and in turn to estimate and evaluate drain spacing and depth.

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Simulating the changes of water table depth in coastal saline land with agro-subsurface drainage system

CHINESE JOURNAL OF ECO-AGRICULTURE ◽

10.3724/sp.j.1011.2012.01687 ◽

2013 ◽

Vol 20 (12) ◽

pp. 1687-1692

Author(s):

Hao-Jie LIU ◽

Hong-Juan LIU ◽

Li-Mei TAN ◽

Jin-Tong LIU

Keyword(s):

Water Table ◽

Drainage System ◽

Subsurface Drainage ◽

Water Table Depth ◽

Saline Land

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Comparison of DRAINMOD and Artificial Neural Network for Predicting Water Table Depth and Drain Discharge in a Subsurface Drainage System

10.13031/2013.32117 ◽

2010 ◽

Author(s):

Hamed Ebrahimian ◽

H Ojaghlou ◽

A Liaghat ◽

M Parsinejad ◽

B Nazari ◽

...

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Water Table ◽

Drainage System ◽

Subsurface Drainage ◽

Water Table Depth ◽

Artificial Neural

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Contamination of the Water Table by an Oil Spill at the Presidente Getulio Vargas Refinery – Repar, Municipality of Araucaria, Paraná

International Oil Spill Conference Proceedings ◽

10.7901/2169-3358-2003-1-1027 ◽

2003 ◽

Vol 2003 (1) ◽

pp. 1027-1033

Author(s):

Artur Cezar Bastos Neto ◽

Nelson Oswaldo Luna Caicedo ◽

Clarissa Lovato Melo ◽

Alexandra Finott

Keyword(s):

Groundwater Flow ◽

Water Table ◽

Oil Spill ◽

Drainage System ◽

Subsurface Drainage ◽

Phase 2 ◽

Soil Particles ◽

Reactive Barrier ◽

Getulio Vargas

ABSTRACT This paper presents the results of the evaluation of contamination in the Saldanha Creek basin, caused by an oil spill at Refinaria Presidente Getúlio Vargas belonging to PETROBRAS, in Araucária – state of Paraná, which occurred on July 16, 2000. The oil reached Saldanha stream following 4 distinct paths and, over its course, overflowed the canal banks contaminating a total of 17.70 hectares of existing wetlands. The oil infiltration into the subsoil occurred in two main areas: (1) around the scraper, which is where most of the oil was infiltrated (approximately 43,000 liters of oil in free phase); (2) in Wetland 4, where the contaminant is mainly adsorbed to the soil particles. The characteristics of the former favor the implementation of a subsurface drainage system, with an oil separator. In the second, flooding the area would allow the removal of part of the contaminant by a difference of density, and part with a reactive barrier to which the groundwater flow would be induced.

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Field Evaluation of Unsteady Drain Spacing Equations for Optimal Design of Subsurface Drainage System under Waterlogged Vertisols of Maharashtra

Indian Journal of Agricultural Research ◽

10.18805/ijare.a-5340 ◽

2020 ◽

Author(s):

S. D. Rathod ◽

S. D. Dahiwalkar ◽

S. D. Gorantiwar ◽

M. G. Gorantiwar

Keyword(s):

Optimal Design ◽

Field Experiment ◽

Water Table ◽

Agricultural Research ◽

Drainage System ◽

Field Evaluation ◽

Depth Estimation ◽

Subsurface Drainage ◽

Research Station ◽

Drain Spacing

The field experiment was conducted at Agricultural Research Station, Kasbe Digraj, Dist. Sangli during Adsali sugarcane season of 2012-13 to 2013-14. The experiment was conducted by installing subsurface drainage system with 10, 20, 30 and 40 m drain spacing and 1 m drain depth. In view of different costs and effectiveness of subsurface drainage associated with the varying depths and spacings, field evaluation of unsteady drain spacing equations was important for finding out the optimal drain spacing equation among various equations. The field evaluation of unsteady drain spacing equations revealed that the van Schilfgaarde, Hammad, Modified Glover, Guyon and Integrated Hooghoudt’s equation performed satisfactory for estimation of water table depths among seven unsteady drain spacing equations. The Glover-Dumm and Modified Glover-Dumm’s equations were not performed satisfactory for estimation of water table depths. Among unsteady drain spacing equations, van Schilfgaarde’s equation performed better and hence recommended for water table depth estimation and in turn for optimal design of subsurface drainage system under waterlogged Vertisols of Maharashtra.

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Advances and Challenging Issues in Subsurface Drainage Module Technology and BIOECODS: A Review

MATEC Web of Conferences ◽

10.1051/matecconf/201820307005 ◽

2018 ◽

Vol 203 ◽

pp. 07005 ◽

Cited By ~ 1

Author(s):

Abdurrasheed Sa'id Abdurrasheed ◽

Khamaruzaman Wan Yusof ◽

Husna Bt Takaijudin ◽

Aminuddin Ab. Ghani ◽

Muhammad Mujahid Muhammad ◽

...

Keyword(s):

Drainage System ◽

Numerical Data ◽

Subsurface Drainage ◽

Infiltration Capacity ◽

Sustainable Solutions ◽

Ecologically Sustainable ◽

The Impact ◽

Flow Attenuation ◽

Permeability Rate ◽

Over Time

Subsurface drainage modules are important components of the Bio-ecological Drainage System (BIOECODS) which is a system designed to manage stormwater quantity and quality using constructed grass swales, subsurface modules, dry and wet ponds. BIOECODS is gradually gaining attention as one of the most ecologically sustainable solutions to the frequent flash floods in Malaysia and the rest of the world with a focus on the impact of the subsurface modules to the effectiveness of the system. Nearly two decades of post-construction research in the BIOECODS technology, there is need to review findings and areas of improvement in the system. Thus, this study highlighted the key advances and challenges in these subsurface drainage modules through an extensive review of related literature. From the study, more work is required on the hydraulic characteristics, flow attenuation and direct validation methods between field, laboratory, and numerical data. Also, there is concern over the loss of efficiency during the design life especially the infiltration capacity of the module, the state of the geotextile and hydronet over time. It is recommended for the sake of higher performance, that there should be an onsite methodology to assess the permeability, rate of clogging and condition of the geotextile as well as the hydronet over time.

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