Research Paper
Saeed Rasi Nezami; Reza Aghlmand
Abstract
Rivers are valuable sources of water supply for various purposes. These sources are seriously exposed to quality degradation due to the entry of various contaminants. Therefore, proper monitoring and quality management of these resources could be very important. In the present study, the quality of the ...
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Rivers are valuable sources of water supply for various purposes. These sources are seriously exposed to quality degradation due to the entry of various contaminants. Therefore, proper monitoring and quality management of these resources could be very important. In the present study, the quality of the Balikhlou river in Ardabil province, northwest of Iran, was investigated by surveying the trend of changes in river quality parameters, as well as water quality indices. In this study, after collecting the available data, by determining the trend of changes in quality parameters, the suitability of the studied river water quality for drinking and irrigation purposes was determined. The results indicated that there is an inverse relationship between changes in river discharge rate and the concentration of qualitative parameters. Therefore, it was found that salinity-containing pollution sources enter the river upstream of the desired station. Besides, the results of water quality indices showed that the water quality of the studied river is very poor for drinking (WQI>75). In addition, the results of water quality assessment for irrigation use based on SAR, KI, and SSP indices were generally considered inappropriate (SAR>26, KI>1, SSP>50), EC was often permissible (750<EC<2250), and MH was appropriate (MH<50). Our study highlights the importance of river water quality studies over time and thus can lead to better management of these valuable resources.
Research Paper
Houshang Ghamarnia; Zoleikh Palash; Meisam Palash
Abstract
Surface water quality management is very important. Qualitative indicators of water pollution can indicate the trend of quality changes over time and place. The aim of this study was to evaluate the quality of Golin river using IRWQISC index. For this purpose, the Golin river water was sampled twice ...
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Surface water quality management is very important. Qualitative indicators of water pollution can indicate the trend of quality changes over time and place. The aim of this study was to evaluate the quality of Golin river using IRWQISC index. For this purpose, the Golin river water was sampled twice a month in a period of one year from May 2019 to April 2020 in Najar village station located in downstream of river. Different parameters which evaluated in this study were DO, pH, BOD5, COD, nitrate, phosphate, electrical conductivity, total hardness and turbidity. The results of the study using the IRWQISC index showed that the range of the index values in the warm months of the year was "between" 30.57 to 32.17 with relatively poor-quality category. While in the cold months of the year the index values obtained "between" 27.36 to 27.83 with poor quality category. In general, according to the results from the annual average of the IRWQISC index, the numerical value was obtained as equal to 29.62, which showed Golin river in poor quality category. The results which presented in this study can be useful for different organization decision to perform their water related projects on Golin river.
Research Paper
Ali Sardar Shahraki; Mahmood Mohhamad Ghasemi
Abstract
The issue of water resource management has become extremely complicated due to the droughts of the last two decades and the competition among the drinking sector, agricultural sector, and international Hamoun wetland to use water. To analyze the status and help managers in policy analysis and decision-making, ...
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The issue of water resource management has become extremely complicated due to the droughts of the last two decades and the competition among the drinking sector, agricultural sector, and international Hamoun wetland to use water. To analyze the status and help managers in policy analysis and decision-making, this research adopted an integrated water resource model (WEAP) with a decision support system (DSS) approach to study the effect of drought on rural and agricultural development and its economic impacts in the region. So, the Iranian government’s water development projects were simulated within 11 scenarios for a medium-term period (up to the 2030 horizon) and the implications of their implementation for the development of the rural and agricultural sectors were assessed. According to the results, if Afghanistan observes Iran’s water rights, there will still be a great amount of unmet water demand (314.53 million m3) for the agricultural and wetland sectors. However, if this scenario is realized, the unmet demand will decrease by about 196 million m3 versus the status quo and the agricultural sector’s profit will increase by about 314 billion IRR, which will be very helpful for rural development. So, relevant officials should put their best effort into realizing the water right. It is suggested to strengthen water diplomacy between the two main stakeholders in the region in order to reduce the persistence of drought.
Research Paper
Ayoob Moradi; Ali Akbar Akhtari; Arash Azari
Abstract
During the recent few decades, the use of various models has been regarded as a promising option to predict groundwater level (GWL) in any given region using a wide variety of data and relevant equations. The lack of trustworthy and comprehensive data is, nevertheless, one of the most significant obstacles ...
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During the recent few decades, the use of various models has been regarded as a promising option to predict groundwater level (GWL) in any given region using a wide variety of data and relevant equations. The lack of trustworthy and comprehensive data is, nevertheless, one of the most significant obstacles that must be overcome in order to analyze and anticipate the depletion of groundwater in the context of water management. Because of this, the implementation of artificial intelligence (AI) models that are able to predict the GWL with high accuracy using a reduced amount of data is unavoidable. In this work, the GWL variations of Lur plain were simulated using GMS model by utilizing the available data and maps. The accuracy of model was assessed at both phases i.e. validation and calibration. Following that, GA-ANN and ICA-ANN approaches, together with ELM, ORELM, and GMDH models, were used in order to fulfill the demand for too smaller volumes by AI procedures. According to the results, the ORELM output had the highest correlation with the observed information, which indicates that it is the most accurate model in this regard. The correlation coefficient for this model was 0.976. Because of this, instead of utilizing a complicated GMS model that needs a significant amount of data for the simulation, an ORELM model can be used to reliably forecast the GWL in the Lur plain. This simple model allows the researchers to accurately predict changes in GWL during rainy and non-rainy years compared to other complicated and time-consuming numerical models.
