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Conceptual hydrosalinity model for prediction of salt load from wastewater flows into soil and ground water
Authors:M Abbaspour  S A Mirbagheri  M Monavvari  A H Javid  H Zarei
Institution:1. School of Mechanical Engineering, Sharif University of Technology and Graduate School of the Environment and Energy, Science and Research Branch, IAU, Tehran, Iran
2. Department of civil Engineering, K. N. Toossi University, Tehran, Iran
3. Department ofEnvironmental Science, Graduate School of the Environment and Energy, Science and Research Branch, IAU, Tehran, Iran
4. IAU, Tehran, Iran
Abstract:Dynamic hydrosalinity models are available, but are not used extensively on a large scale soil which receives wastewater from industrial areas, partly because adequate database are expensive to be obtained. Thus, for this reason, there is an urgent need to assess the salt and other pollutant loads collected in wastewater flows into the soil and/ or ground water systems. A conceptual hydrosalinity model was used on two major underlying principals of mass balance and steady state. This model was initially tested on the 4,117 km2 plains west of the Yazd-Ardakan district in the central part of Iran. This model was used at a time when the soil and ground water salinity problem was serious due to the high shortage of water. It was possible to calibrate the model with ± 2 % of the flow volume and total dissolved solids of the industrial wastewater discharge from over 2,000 factories. The verification results were 98 % of the measured values. Moreover, this model was tested for the verification of the model data from the analysis of 36 wells’ water in the area where industrial wastewater discharge was used. The results showed that most of the indices of total dissolved solids, total suspended solids, biological oxygen demand and chemical oxygen demand are above standard levels. The results of the model can be used for the management practice of the reduction of salt pollutant load in the area to achieve sustainable development for location of industries in the study area.
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