Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1088/1755-1315/127/1/012012 |
Application of Time-series Model to Predict Groundwater Quality Parameters for Agriculture: (Plain Mehran Case Study) | |
Mirsanjari, Mir Mehrdad1; Mohammadyari, Fatemeh2 | |
通讯作者 | Mirsanjari, Mir Mehrdad |
会议名称 | International Conference on Renewable Energy and Environment (ICREE) |
会议日期 | NOV 01-03, 2017 |
会议地点 | Toronto, CANADA |
英文摘要 | Underground water is regarded as considerable water source which is mainly available in arid and semi arid with deficient surface water source. Forecasting of hydrological variables are suitable tools in water resources management. On the other hand, time series concepts is considered efficient means in forecasting process of water management. In this study the data including qualitative parameters (electrical conductivity and sodium adsorption ratio) of 17 underground water wells in Mehran Plain has been used to model the trend of parameters change over time. Using determined model, the qualitative parameters of groundwater is predicted for the next seven years. Data from 2003 to 2016 has been collected and were fitted by AR, MA, ARMA, ARIMA and SARIMA models. Afterward, the best model is determined using information criterion or Akaike (AIC) and correlation coefficient. After modeling parameters, the map of agricultural land use in 2016 and 2023 were generated and the changes between these years were studied. Based on the results, the average of predicted SAR (Sodium Adsorption Rate) in all wells in the year 2023 will increase compared to 2016. EC (Electrical Conductivity) average in the ninth and fifteenth holes and decreases in other wells will be increased. The results indicate that the quality of groundwater for Agriculture Plain Mehran will decline in seven years. |
来源出版物 | 2017 INTERNATIONAL CONFERENCE ON RENEWABLE ENERGY AND ENVIRONMENT (ICREE 2017) |
ISSN | 1755-1307 |
出版年 | 2018 |
卷号 | 127 |
EISBN | ***************** |
出版者 | IOP PUBLISHING LTD |
类型 | Proceedings Paper |
语种 | 英语 |
国家 | Iran |
收录类别 | CPCI-S |
WOS记录号 | WOS:000445901800012 |
WOS关键词 | ARIMA MODEL |
WOS类目 | Green & Sustainable Science & Technology ; Energy & Fuels ; Environmental Sciences |
WOS研究方向 | Science & Technology - Other Topics ; Energy & Fuels ; Environmental Sciences & Ecology |
资源类型 | 会议论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/307872 |
作者单位 | 1.Malayer Univ, Fac Nat Resources & Environm, Dept Environm Sci, Malayer, Iran; 2.Malayer Univ, Fac Nat Resources & Environm, Dept Environm Sci, Evaluat & Land Use Planning, Malayer, Iran |
推荐引用方式 GB/T 7714 | Mirsanjari, Mir Mehrdad,Mohammadyari, Fatemeh. Application of Time-series Model to Predict Groundwater Quality Parameters for Agriculture: (Plain Mehran Case Study)[C]:IOP PUBLISHING LTD,2018. |
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