| تعداد نشریات | 284 |
| تعداد نشریات سازمان | 82 |
| تعداد شماره‌ها | 3,036 |
| تعداد مقالات | 33,983 |
| تعداد مشاهده مقاله | 45,761,314 |
| تعداد دریافت فایل اصل مقاله | 77,187,164 |
بررسی کیفیت آب زیرزمینی و معرفی عامل‌های شیمیایی اصلی آن در ایستگاه آبخوان‌داری کوثر | ||
| پژوهش های آبخیزداری | ||
| مقاله 4، دوره 35، شماره 2 - شماره پیاپی 135، تیر 1401، صفحه 31-44 اصل مقاله (2.09 M) | ||
| نوع مقاله: پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22092/wmrj.2021.355619.1429 | ||
| نویسندگان | ||
| حمید حسینی مرندی* 1؛ حجت اله کشاورزی2؛ مریم عنایتی3؛ غلامعلی نکوییان4 | ||
| 1استادیار بخش تحقیقات حفاظت خاک و آبخیزداری، مرکز تحقیقات و آموزش کشاورزی و منابع طبیعی استان فارس، سازمان تحقیقات آموزش و ترویج کشاورزی، شیراز، ایران | ||
| 2کارشناس ارشد مرکز تحقیقات و آموزش کشاورزی و منابع طبیعی استان فارس، سازمان تحقیقات آموزش و ترویج کشاورزی، شیراز، ایران | ||
| 3کارشناس ارشد بخش تحقیقات حفاظت خاک و آبخیزداری، مرکز تحقیقات و آموزش کشاورزی و منابع طبیعی استان فارس، سازمان تحقیقات آموزش و ترویج کشاورزی، شیراز، ایران | ||
| 4کارشناس ارشد ایستگاه تحقیقات آبخوان‌داری کوثر، مرکز تحقیقات و آموزش کشاورزی و منابع طبیعی استان فارس، سازمان تحقیقات آموزش و ترویج کشاورزی، شیراز، ایران | ||
| چکیده | ||
| از سال 1397 تا 1399 از 20 چاه آب کشاورزی در آبخوان گربایگان فسا نمونه‌های فصلی آب زیرزمینی برداشته، و ویژگی‌های شیمیایی آن‌ها شامل هدایت الکتریکی، اسیدیته، مجموع مواد جامد حل‌شده (TDS)، سختی کل، نسبت جذب سدیم (SAR)، غلظت یون سولفات، کلر، پتاسیم، سدیم، منیزیوم، کلسیم، و بی‌کربنات سنجیده و بررسی شد. در این آبخوان میانگین هدایت الکتریکی dSm-1 4/7، اسیدیته 7/5، و میانگین نسبت جذب‌سدیم آب حدود 6/7 بود. به‌جز بی‌کربنات تفاوت مقدار عامل‌های شیمیایی دیگر میان جایگاه‌های نمونه‌برداری در تراز 1% معنادار بود. تحلیل مولفه‌های اصلی TDS،SO4-2، HCO3- وNa+ را موثرترین متغیرها در بازتاب‌دادن کیفیت آب زیرزمینی آبخوان تعیین کرد. تحلیل عاملی نیز زیاد بودن اندازه‌ی TH، Na+، و HCO3- را نشان داد. تحلیل خوشه‌یی اندوخته‌های آب محدوده‌ی مرکزی آبخوان را در یک گروه با شباهت 97%، و دو گروه با شباهت‌های 93 و 70% جا داد. گروه نخست بیش‌ترین تاثیر را از پخش سیلاب و تغذیه‌ی مصنوعی می‌گیرد، و دو گروه دیگر در منطقه‌های حاشیه یا بیرون از طرح جا می‌گیرند. اگرچه مدیریت بهره‌برداری نامناسب و برداشت از آبخوان بی‌رویه است، کیفیت آب زیرزمینی در ناحیه‌های مرکزی آن که بیش‌تر متاثر از تغذیه‌ی سیلاب است، بهتر است. | ||
| کلیدواژه‌ها | ||
| آبخوان؛ تجزیه‌ی شیمیایی؛ گربایگان؛ هدایت الکتریکی | ||
| عنوان مقاله [English] | ||
| Analysis of Groundwater Quality and Determination of its Main Chemical Factors in the Kowsar Aquifer Management Station | ||
| نویسندگان [English] | ||
| Hamid Hosseinimarandi1؛ Hojatolah Keshavarzi2؛ Maryam Enayati3؛ Gholamali Nekuian4 | ||
| 1Assistant prof., Soil Conservation and Watershed Management department, Fars Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Shiraz, Iran | ||
| 2M.Sc. Resources Research and Education Center Expert of Fars Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization(AREEO), Shiraz, Iran | ||
| 3M.Sc. Resources Research and Education Center Expert M.Sc. Resources Research and Education Center Expert of Soil Conservation and Watershed Management department, Fars Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization(AREEO), Shiraz, Iran | ||
| 4M.Sc. Resources Research and Education Center Expert of Kowsar Research, Education and Extension Station, Fars Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization(AREEO), Fasa, Iran | ||
| چکیده [English] | ||
| Groundwater samples were prepared from 20 wells in the Gareh Bygone aquifer during the 2018 to 2020 years seasonally. Chemical characteristics of these samples including EC, pH, TDS, TH, SAR, SO4-2, Cl-, Na+, K+, Mg+2, Ca2+ and HCO3- were analyzed. The average of water salinity was 4.7dS/m, the acidity was 7.5, the average SAR value is about 6.7 and in some wells, this factor is about 10.6. Analysis of variance shows that all chemical characteristics except HCO3- have a significant difference. The principal component analysis identifies TDS, SO4-2, HCO3- and Na as the most effective variables in reflecting groundwater quality. Factor analysis also shows high TH, Na+, and HCO3-. Aquifer water resources are divided into three separate groups. The first group (with 97% similarity) receives the most impact from floodwater spreading and artificial recharge, and the other two groups (with 93 and 70% similarity) are located in the marginal areas or outside the floodwater spreading system. Despite poor management and uncontrolled discharge of the aquifer, at least in the central parts of the aquifer, which are more affected by artificial recharge by floodwater spreading, groundwater quality is more desirable. | ||
| کلیدواژه‌ها [English] | ||
| Aquifer, chemical analysis, electrical conductivity, GarehBygone | ||
| مراجع | ||
|
Al-Otaibi M, Al-Senafy M. 2004. Recharging aquifers through surface ponds. Emirates Journal for Engineering Research. 9(1): 21–27 Ascott MJ, Gooddy DC, Wang L, Stuart ME, Lewis MA, Ward, RS, Binley AM. 2017. Global patterns of nitrate storage in the vadose zone. Nature Communications. 7 p. DOI, 10.1038/s41467-017-01321-w. Busico G, Cuoco E, Kazakis N, Colombani N, Mastrocicco M, Tedesco D, Voudouris K. 2018. Multivariate statistical analysis to characterize/discriminate between anthropogenic and geogenic trace elements occurrence in the Campania Plain, Southern Italy. Environmental Pollution. 234: 260 – 269. Cors Van Den B, Willem J, Bas Van Der G, Peter C, Jasper G. 2008. Using a groundwater quality negotiation support system to change land-use management near a drinking-water abstraction in the Netherlands. Journal of Hydrology. 350(3-4): 339 –356. Ehyaie A, Behbahanizadeh A.1993. Description of soil chemical decomposition methods (Vol. I), Journal No. 893, Soil and Water Research Institute, 129 p. (In Persian). Fars Agricultural and Natural Resources Research Center. 2009. Groundwater consumption pattern optimization (Project Final Report). Shiraz. 98 p. (In Persian). Fars Agricultural and Natural Resources Research Center. 2021. Recharge assessment by integrated water balance at saturated and unsaturated zones in Gareh Bygone Plain (Project Final Report). Shiraz. 59 p. (In Persian). Fars Regional Water Company. 2006. Groundwater report of Shib-Kuh Plain(Fasa). 125 p. (In Persian). Freeze R, Cherry J. 1979. Groundwater. Prentice-Hall Inc. USA(New Jersey). 624 p. Geological Survey of Iran. 2007. Geological Map (1:100000). Fasa Sheet. Tehran. (In Persian). Ghahari G, Pakparvar M. 2008. Effect of floodwater spreading and consumption on groundwater resources in Gareh-Bygone Plain. Iranian Journal of Rang and Desert Research. 14 (3):368–390. (In Persian). Ghazavi R,Vali AB, Eslamian S. 2012. Impact of flood spreading on groundwater level variation and groundwater quality in an arid environment. Water Resources Management, 26:1651–1663. (In Persian). Hashemi H, Berndtsson R, Kompani-Zare M.2012. Steady-state unconfined aquifer simulation of the Gareh-Bygone Plain, Iran. The Open Hydrology Journal, 6(1): 58–67 Hashemi H. 2008. Quantitative estimation of recharge rate and effects of flood spreading on groundwater resources in Gareh-Bygone Plain of Fasa in Fars Province using MODFLOW software. Master Thesis in Desert Management. School of Agriculture. Shiraz University. 80 p. (In Persian). Hosseinimarandi H, Mahdavi M, Ahmadi H, Motamedvaziri B, Adelpur A. 2014. Assessment of grounwater quality monitoring network using cluster analysis, Shibkuh Plain, Shur Watershed, Iran. Journal of Water Resources and Protection.06 (06): 618–624. Hosseinimarandi H, Mahdavi M, Ahmadi H, Motamedvaziri B, Adelpur A. 2015. Evaluation of groundwater changes in a shallow aquifer using time series analysis of groundwater head, electrical conductivity and temperature. Rangeland and Watershed Management, Iranian Journal of Natural Resources. 70 (3): 635–645. (In Persian). Khorsandi F, Vaziri J, Azizian A. 2010. Haloculture sustainable use of saline soil and water resources in agriculture. Iranian National Committee on Irrigation and Drainage (IRNCID). 141. 322 p. (In Persian). Konrad M, Postma D. Kowalczyk A. 2012. Variable infiltration and river flooding resulting in changing groundwater quality, A case study from Central Europe. Journal of Hydrology. 414 -415: 211 –219 Malekian A, Razandi y, Kalighi Sh, Farokhzadeh B.2016. Assessment of temporal and spatial changes of groundwater quality using hybrid Boolean, Fuzzy and Geostatistical, Case study: Varamin Plain. Watershed Management Research. 29 (2): 100–109. (In Persian). Milad H, Jalal M, Natarajan R. 2018. Impact of flash flood recharge on groundwater quality and its suitability in the Wadi Baysh Basin, Western Saudi Arabia: An integrated approach. Environmental Earth Sciences, Vol. 77. 395 p. SerreKawo N, Karuppannan S. 2018. Groundwater quality assessment using water quality index and GIS technique in Modjo River Basin, central Ethiopia, Journal of African Earth Sciences. 147: 300–311. https://doi.org/10.1016/j.jafrearsci.2018.06.034. Niladri D, Prolay M, Ranajit G, Subhasish S. 2019. Groundwater quality assessment using multivariate statistical technique and hydro‑chemical facies in Birbhum District, West Bengal, India. SN Applied Sciences. 1(825). https://link.springer.com/content/pdf/10.1007/s42452-019-0841-5.pdf. Okkonen J, Klove B.2012. Assessment of temporal and spatial variation in chemical composition of groundwater in an unconfined Eesker aquifer in the cold temperate climate of northern Finland. Cold Regions Science and Technology. 71: 118–128. Omo l, Samuel B, Kehinde O, Joseph A. 2008. Surface and groundwater water quality assessment using multivariate analytical methods. A case study of the Western Niger Delta. Physics and Chemistry of the Earth, 33: 666 – 673. Pakparvar M, Walraevens K, Cheraghi SAM, Ghahari G, Cornelis W, Gabriels D, Kowsar SA. 2017. Assessment of groundwater recharge influenced by floodwater spreading: an integrated approach with limited accessible data. Hydrological Sciences Journal. 62(1): 147– 164. Sandow M, Yidana P, Bawoyobie P, Sakyi O, Fiifi F.2018. Evolutionary analysis of groundwater flow: Application of multivariate statistical analysis to hydrochemical data in the Densu Basin, Ghana. Journal of African Earth Sciences, 138: 167– 176. Sanchez-Pereza JM, Tremolieresb M. 2003. Change in groundwater chemistry as a consequence of suppression of floods. The Case of the Rhine Floodplain. Journal of Hydrology, 270: 89 –104. Sarah T, Marc L, Ian C, Guillaume F, Christian L. 2011. Arid zone groundwater recharge and stalinization processes an example from the Lake Eyre Basin. Journal of Hydrology. 408: 257–275. Scheibera L, Cendónbcd D, Iverachbcd P, Vázquez E, Kellycd J. 2020. Hydrochemical apportioning of irrigation groundwater sources in an alluvial aquifer. Science of the Total Environment. 744: 140 – 156. Srinivasa R, Prashant B, Ajit PS. 2015. Groundwater quality assessment in some selected area of Rajasthan, India Using Fuzzy Multi-Criteria Decision Making Tool. Aquatic Procedia. 4: 1023 – 1030. Stigter TY, Ribeiro L, Carvalho DA. 2006. Application of a groundwater quality index as an assessment and communication tool in Agro-Environmental Policies – Two Portuguese Case Studies. Journal of Hydrology. 327: 578–591. Sunil K, Vinay K, Mishra C, Lalverma N, Sharma A. 2020. Groundwater quality concern for wider adaptability of novel modes of managed aquifer recharge (MAR) in the Ganges Basin, Agricultural Water Management, Elsevier. 246 p. Todd DK. 1976 . Groundwater Hydrology. 2ed Edition. John Willey and Sons Inc. New York. 638 p. Vetrimurugan E, Vhonani G, Manivannan V, Rajmohan N, Elango L. 2020. Groundwater quality assessment and application of multivariate statistical analysis in Luvuvhu catchment, Limpopo, South Africa. Journal of African Earth Sciences. (171): https://doi.org/10.1016/j.jafrearsci.2020.103967. Vahedi M, Masoodi M. 2018. Investigating the risk of degradation of groundwater resources using Iranian modification model assessing desertification potential in the Plains of Fars Province. Journal of Irrigation and Water Engineering, 8(4): 93 – 104. (In Persian). | ||
|
آمار تعداد مشاهده مقاله: 554 تعداد دریافت فایل اصل مقاله: 749 |
||