تعداد نشریات | 161 |
تعداد شمارهها | 6,532 |
تعداد مقالات | 70,500 |
تعداد مشاهده مقاله | 124,069,938 |
تعداد دریافت فایل اصل مقاله | 97,172,890 |
Using geostatistical and deterministic modelling to identify spatial variability of groundwater quality | ||
Desert | ||
مقاله 14، دوره 24، شماره 1، شهریور 2019، صفحه 143-151 اصل مقاله (906.42 K) | ||
نوع مقاله: Research Paper | ||
شناسه دیجیتال (DOI): 10.22059/jdesert.2019.72448 | ||
نویسندگان | ||
Z. Feizi؛ Amir R. Keshtkar* ؛ A. Afzali | ||
Desert Management Dept., International Desert Research Center (IDRC), University of Tehran, Tehran 1417763111, Iran | ||
چکیده | ||
The main portion of water demands of arid regions like Kashan Plain, Iran supply by groundwater wells. This research was conducted to assess the groundwater quality as well as modelling and mapping groundwater quality in the study area using geosatistics and deterministic techniques. Five water quality parameters, including Electrical Conductivity, Sodium Adsorption Ratio, Total Hardness, Total Dissolved Solids and pH, were applied to determine the irrigation and drinking water quality index using the Wilcox diagram and WHO standards. The final map indicated that the groundwater quality increased from north to south of the study area. The areas located in the centre, south and eastern south of the study area had the optimum quality for irrigation and drinking purposes. Furthermore, based on the results of zoning using the Wilcox diagram determined that ground water quality of the study area 22%, 42% and 36% were good, medium and non-suitable, respectively | ||
کلیدواژهها | ||
Groundwater quality؛ modelling؛ Geostatistic؛ Deterministic؛ zoning | ||
مراجع | ||
Al-Abadi, A.M., A.A. Al-Temmeme, M.A. Al-Ghanimy, 2016 .A GIS-based combining of frequency ratio and index of entropy approaches for mapping groundwater availability zones at Badra–Al Al-Gharbi–Teeb areas, Iraq. Sustainable Water Resources Management, 2; 265–283. Afzali, A., H. Keshtkar, S. Pakzad, E. Farahani, A. Golpaigani, E. Khosrojerdi, Z. Yousefi, 2016. Spatio- Temporal analysis of drought severity using drought indices and deterministic and geostatistics methods (Case Study: Zayandehroud River Basin). Desert, 21; 165-172. Ahmadi, S.H., A. Sedghamiz, 2007. Geostatistical Analysis of Spatial and Temporal Variations of Groundwater Level. Environmental Monitoring and Assessment, 129; 277–294. Babakhani, M., Gh. Zehtabian, A.R. Keshtkar, H. Khosravi, 2016. Trend of groundwater quality changes using geostatistics (CaseStudy: Ravar Plain). Pollution, 2; 115-122. Belkhiri, L., T. SheikhiNarany, 2015. Using multivariate statistical analysis, geostatistical techniques and structural equation modelling to identify spatial variability of groundwater quality. Water Resources Management, 29; 2073-2089. Bjerg, P.L., T.H. Christensen, 1992. Spatial and Temporal Small-Scale Variation in Groundwater Quality of a Shallow Sandy Aquifer. Journal of Hydrology, 131; 133-149. Bodrud-Doza, B.D., A.R.M.T. Islam, F. Ahmed, S. Das, N. Saha, M.S. Rahman, 2016. Characterization of groundwater quality using water evaluation indices, multivariate statistics and geostatistics in central Bangladesh. Water Science, 30; 19-40. Brhane, G.K., 2016. Irrigation Water Quality Index and GIS Approach based Groundwater Quality Assessment and Evaluation for Irrigation Purpose in Ganta Afshum Selected Kebeles, Northern Ethiopia. International Journal of Emerging Trends in Science and Technology (IJETST), 3; 4624-4636. Goovaerts, P., 1997. Geostatistics for natural resources evaluation. New York: Oxford Univ Pres. Hu, K., Y. Huang, H. Li, B. Li, D. Chen, R.E. White, 2005. Spatial variability of shallow groundwater level, electrical conductivity and nitrate concentration and risk assessment of nitrate contamination in North China Plain. Environ. Int., 31; 896-903. Isaaks, E.H., R.M. Srivastava, 1989. An Introduction to Applied Geostatistics, New York: Oxford Univ Press. Jafari, R., L. Bakhshandehmehr, 2014. Investigate the spatial variability of salinity and alkalinity groundwater in Isfahan province using geostatistical. Journal of Science and Technology of Agriculture and Natural Resources, Water and Soil Sciences, 18; 183- 194. (In Persian) Jeihouni, M., A. Toomanian, M. Shahabi, S.K. Alavipanah, 2014. Groundwater Quality Assessment for Drinking Purposes Using GIS Modelling (case study: city of Tabriz). The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XL-2/W3, 2014 The 1st ISPRS International Conference on Geospatial Information Research, 15–17 November 2014, Tehran, Iran. Karami Sh., H. Madani, H. Katibeh, A. FathiMarj, 2018. Assessment and modeling of the groundwater hydrogeochemical quality parameters via geostatistical approaches. Applied Water Science, 8; 1-13. Keshtkar A.R., M.R. Ahmadi, H.R. Naseri, H. Atashi, H. Hamidifar, S.M. Razavi., A. Yazdanpanah, M. Karimpour Reihan, N. Moazami, 2016. Application of a vetiver system for unconventional water treatment. Desalination and Water Treatment, 57; 474-483. Keshtkar, A.R., B. Asefjah, Y. Erfanifard, A. Afzali, 2017. Application of MCDM for biologically based management scenario analysis in integrated catchment assessment and management. Desalination and Water Treatment, 65; 243-251. Kheradpisheh, Z., A. Almodaresi, Y. Khaksar, L. Rafati, 2014. Zoning of Groundwater Contaminated by Nitrate Using Geostatistics Methods (Case Study: Bahabad Plain, Yazd, Iran). Desert, 19; 83-90. Kumar, A., S. Maroju, A. Bhat, 2007. Application of ArcGIS geostatistical analyst for interpolating environmental data from observations, environmental progress. 26, pp. 220. Laze, P., S. Rizani, A. Ibraliu, 2016. Assessment of irrigation water quality of Dukaghin basin in Kosovo. Journal of International Scientific Publications, Agriculture and Food, 4; 544- 551. Lokeshwari, H., G.T. Chandrappa, 2006. Impact of Heavy Metal Contamination of Bellandur Lake on Soil and Cultivated Vegetation. Current Science, 91; 622-627. Moasheri. S.A., A. Shams Goshki, A. Parsaie, 2013. ‘‘SAR’’ qualities parameter persistence by a compound method of geostatic and artificial neural network (case study of Jiroft plain). International Journal of Agriculture and Crop Sciences, 6; 157-166. Mohammadi, A., K. Yaghmaeian, H. Faraji, R. Nabizadeh, A.H. Dehghani, J.K. Khaili, A.H. Mahvi, 2017. Temporal and spatial variation of chemical parameter concentration in drinking water resources of Bandar-e Gaz City using Geographic Information System. Desalination and Water Treatment 68: 170– 176. Mohammed, M.N., 2011. Quality assessment of Tigris River by using water quality index for irrigation purpose. European Journal of Scientific Research, 571; 15-28. Nas, B., 2009. Geostatistical Approach to Assessment of Spatial Distribution of Groundwater Quality. Journal of Environmental Studies, 18; 1073-1082. Prabu, P.C., L. Wondimu, M. Tesso, 2011. Assessment of Water Quality of Huluka and Alaltu Rivers of Ambo, Ethiopia. Journal of Agricultural Science and Technology, 13; 131-138. Rahimi, Z. M. Chitsazan, S. Mirzaye, A. Adineh Poor, 2009. Check Salt River catchment water quality of rivers, Eighth International Seminar on River Engineering in February 2009, Ahvaz, Chamran University. Rahmani, M., M. Mesbah, H. Hoseini Marandi, A. Najafinejad, 2009. Study of groundwater decreasing on gully erosion in Neyriz plain, Fars, Iran. 5th National Conference in Watershed Management, Gorgan, Iran. (In Persian). Sadat Noori, M., S., Ebrahimi, A.M. Liaghat, A.H. Hoorfar, 2012. Comparison of different geostatistical methods to estimate groundwater level at different climatic periods. Water and Environment Journal, 27; 10-19. Soltani, J., F. Khodabakhshi, M. Dadashi, 2014. Classification of Water Quality of Gharasoo River for different uses in the wet and dry years. Journal of River Engineering, 2; 34-38. World Health Organization (WHO), 1984. Guidelines for Drinking Water Quality, Recommendations. WHO, Geneva. 130p. | ||
آمار تعداد مشاهده مقاله: 565 تعداد دریافت فایل اصل مقاله: 590 |