Estimation of total dissolved solid in groundwater using multipleudlinear regression analysis around Igando dumpsitesudin Lagos, South-West, Nigeria

摘要

This study presents a multiple linear regression (MLR) TDS model that relates the TDS data obtained fromudgroundwater samples to the geophysical data obtained from Electromagnetic (EM) data, as an alternativeudapproach to mapping and monitoring the impact of TDS in groundwater. The predictive power of the developedudMLR TDS model was appraised to determine the feasibility of using the TDS model to predict groundwater TDSudaround the study area. Although, the accuracy of the developed TDS model is site specific, the EM data around theudarea can be applied to the model to determine TDS concentration in groundwater, thus reducing the time and costudof acquiring and monitoring both parameters separately. The utilisation of the proposed MLR TDS model couldudassist in the implementation of seasonal groundwater quality monitoring programmes around the dumpsites.udFrom the results also, association between TDS and EC and between TDS and N03 are 0.93 and 0.67 respectively,udwhile that between TDS and hardness is 0.81, suggesting common source of contamination around the sites.udGenerally, there are relatively higher values of the measured physicochemical properties of water around theudNorth-western part of Solous 1, North-western and South-western part of Solous 2, South-western and Southeasternudpart of Solous 3 dumpsite when compared with other parts investigated. Therefore, groundwater withinudthe study area may have been impacted by the leachates from the decomposed refuse, and boreholes located atudpositions other than these zones are likely to yield uncontaminated water