Ali Haghizadeh; Lila Ghasemi
Abstract
In recent years, the flood situation of headwaters of the Dez River in Lorestan Province has increased. This is due to various factors such as climate change, reduction of vegetation cover, and increase in construction in the riparian zone. In 2022, floods occurred several times in the Dez headwaters ...
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In recent years, the flood situation of headwaters of the Dez River in Lorestan Province has increased. This is due to various factors such as climate change, reduction of vegetation cover, and increase in construction in the riparian zone. In 2022, floods occurred several times in the Dez headwaters in Lorestan province. These floods caused significant damage to life and property. Global conceptual models have been developed for more than two decades and their effectiveness in simulating streamflow has been proven. In this study, simulation of runoff rainfall in Silakhor-Rahimabad watershed was done using three daily (GR4J), monthly (GR2M) and annual (GR1A) models. The Nash-Sutcliffe (Nash), root mean square error (RMSE), and bias criteria were used to evaluate the model performance during the calibration and validation periods. The obtained results were highly significant. The GR1A model has Nash coefficients of 86.1 and 71.7 in both calibration and validation periods, respectively, so this model has a very good performance. For the other two models, the GR2M model and the GR4J model, the Nash coefficients in the two calibration and validation periods are 76.7, 70.2 and 61.4, 86.2, respectively. These coefficients also indicate the good and very good performance of these models in rainfall-runoff simulation. However, considering the satisfactory performance of the two evaluation criteria, RMSE and Bias, in the GR1A model, it can be concluded that the GR1A model had a better performance in simulating rainfall-runoff. Finally, the obtained results indicate that the GR4J, GR2M and GR1A conceptual models are suitable models for simulating the streamflow in the Silakhor-Rahimabad watershed.
Leila Davoodi Memar Otagvar; Ebrahim Fataei; Mehdi Tajiabadi; Babak Naeimi
Abstract
Assessing the quality of water resources is an important aspect of improving their management. Given the importance of groundwater resources in the Qazvin Plain, and to have a better understanding of the status of these resources, this study has focused on examining the quality of groundwater for drinking ...
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Assessing the quality of water resources is an important aspect of improving their management. Given the importance of groundwater resources in the Qazvin Plain, and to have a better understanding of the status of these resources, this study has focused on examining the quality of groundwater for drinking and agricultural purposes. For this purpose, using hydrogeochemical parameters, two quality indicators for drinking water and irrigation were selected to investigate and study the quality of groundwater in the years 2012, 2016, and 2020. Based on the results, quality indicator maps for drinking and irrigation water were classified, and the percentage of each class's area and their average values were obtained for different land uses using ArcMap 10.8.2 software, to consider the mutual effect of land use on groundwater quality. The results showed that the average drinking water quality index in the years 2012, 2016, and 2020 were 135.02, 128.30, and 127.38 respectively, indicating an improvement in drinking water quality. The average groundwater quality index for irrigation in recent years was 62.21, 63.51, and 63.39 respectively. Generally, the quality of groundwater for drinking and agricultural purposes in the northern regions was better than in the southern regions, while the groundwater in the central and eastern parts of the plain, which includes abandoned and neglected lands, has become increasingly restricted for irrigation over time. The results demonstrated that the area of land with suitable quality groundwater for drinking is decreasing. During the study period, the area of good class has decreased, while the area of poor class has increased.
hamed eskandari; moslem borji; Mehdi Ghorbani
Abstract
Local initiatives have been defined as specific collective activities without external support or incentives in order to control either ground or surface waters. One of the most important of approaches in water resources management is community-based water management. Social structures of water resources ...
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Local initiatives have been defined as specific collective activities without external support or incentives in order to control either ground or surface waters. One of the most important of approaches in water resources management is community-based water management. Social structures of water resources are one of the aspects of indigenous knowledge in the management of water resources and it is necessary to analyze the social structures associated with it. The main objective of this paper is to identify aspects of indigenous knowledge related to the sustainable water resources management in Roozkin Village - Sarduyeh- Jiroft County. In this study, based on anthropological methods and qualitative approaches, including direct and participatory observation and organized interviews with 32 informed respondents (farmers) was used. In Roozkin Village, a certain social structure governs on the management of water resources in the region dating back more than 100 years. Cooperation in water resources management is considered as fundamental principle in this village and the social roles of Arbab and Zaim are among social initiatives of this village in management of water resources. In this village, 10 associations or local groups have been formed for managing water resources and each group is composed of Arbab and Zaim. In general, it could be noted that indigenous knowledge and local traditions in the village are factors influencing on sustainability of water resources and also it could be concluded that they will be effective in the promotion of socio-ecological resilience in the face of environmental crises such as drought.
