Büyük Menderes Nehri (Türkiye'nin Batısı) Yüzey Suyu Kalitesinin Su Kalite Indeksi (WQI), Kapsamlı Kirlilik Indeksi (CPI) ve Coğrafi Bilgi Sistemleri (GIS) ile Değerlendirilmesi

Yıl 2024, , 108 - 127, 01.06.2024

Nigar Zeynalova , Ahmet Demirak , Mustafa Döndü , Feyyaz Keskin

https://doi.org/10.22392/actaquatr.1308181

Öz

Bu çalışma, Büyük Menderes nehrindeki bazı su kalite parametrelerini mekansal olarak su kalite ve kirlilik indeksleri ile incelemeyi, ayrıca çalışmada ölçülen hangi parametrenin indeksler üzerinde daha etkili olduğunu belirlemeyi amaçlamıştır. Ölçülen su kalite parametreleri Yüzey Suyu Sıcaklığı:16,5-25,9 oC, pH:7,5-9,3, Çözünmüş Oksijen:nd-12,2 mgL-1, Elektriksel İletkenlik:312-30215 µScm-1, Tuzluluk:0,17-19,6%o, Nitrit Azotu (NO2-N):nd-0,31 mgL-1, Nitrat Azotu (NO3-N):nd-1,08 mgL-1, Amonyum Azotu (NH4-N):0,035-25,2 mgL-1, Toplam Fosfor:0,011-7,45 mgL-1, Anyonik Yüzey Aktif Madde:nd-7,79 mgL-1 ve Kimyasal Oksijen İhtiyacı:nd-128,9 mgL-1 olarak tespit edildi. Çalışmamızda Türkiye Su Kirliliği Kontrolü Yönetmeliği (SKKY, Kıtaiçi yerüstü su kaynaklarının genel kimyasal ve fizikokimyasal parametreler açısından sınıflarına göre kalite kriterleri)’ne göre birden fazla parametrenin ikinci sınıf ve üçüncü sınıf su kalitesinde olduğu belirlendi. Su kalitesi indeksi değer aralığı akarsuda Kötü (38,82)-Mükemmel (92,35), kapsamlı kirlilik indeksi ise “Az Kirli (0,39)-Çok Kirli (9,62)” şekinde tespit edildi. Çalışma alanında çevresel risklerin belirlenmesinde kullanılan su kalite indeksi ve kapsamlı kirlilik indeksi arasında bir uyumun olmadığı belirlendi. Coğrafi bilgi sisteminin, elde edilen sonuçların mekansal dağılımının yorumlanmasında ve kontrol gerektiren kilit alanların belirlenmesinde etkili olduğu görüldü. Değişkenler arası ilişkilerin belirlenmesinde farklı istatistiksel analizler kullanıldı. Çoklu doğrusal regresyon (MLR) analizinde indeksleri etkileyen en önemli parametrenin NH4-N olduğu tespit edildi. Çalışma sonucunda elde edilen su kalite indeksi ve kapsamlı kirlilik indeksi sonuçları antropojenik faaliyetlerin bölge üzerinde etkili olduğuna işaret etmektedir.

Anahtar Kelimeler

Yüzey suyu kalitesi, su kalite indeksi, kapsamlı kirlilik indeksi, fiziko-kimyasal parametreler

Proje Numarası

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Assessment of Büyük Menderes River (West of the Türkiye) Surface Water Quality with Water Quality Index (WQI), Comprehensive Pollution Index (CPI) and Geographic Information Systems (GIS)

Öz

In the present study some of the water quality parameters were spatially examined with water quality and pollution indices in the Büyük Menderes River (BMR). In addition, the more effective parameters on the indices were determined among the parameters measured in the study. The measured water quality parameters were detected as WT:16.5-25.9 oC, pH:7.5-9.3, DO:nd-12.2 mgL-1, EC:312-30215 µScm-1, Salt:0.17-19.6 %o, NO2-N:nd-0.31 mgL-1, NO3-N:nd-1.08 mgL-1, NH4-N:0.035-25.2 mgL-1, TP:0.011-7.45 mgL-1, MBAS:nd-7.79 mgL-1 ve COD:nd-128.9 mgL-1. In the present study, several parameters were determined as the second class and third class of water quality according to the Turkish Water Pollution Control Regulation*. WQI value range was determined as from Bad (38.82) to Excellent (92.35), and CPI as from “Sub Clean (0.39) to Highly Polluted (9.62)” in the stream. It was determined that there was no compatibility between WQI and CPI used in determining the environmental risks in the study area. The GIS was found to be effective in interpreting the spatial distribution of the results obtained and in identifying the key areas that require control. Different statistical analyses were used to determine the relationships between variables. In multiple linear regression (MLR) analysis, it was determined that the most critical parameter affecting the indices was NH4-N. The results obtained from WQI and CPI in the present study indicate that anthropogenic activities are effective in the region.
*:TWPCR, Quality criteria of inland surface water resources in terms of general chemical and physicochemical parameters by Class

Anahtar Kelimeler

Surface water quality, water quality index, comprehensive pollution index, physico-chemical parameters

Destekleyen Kurum

The authors declare that no funds, grants, or other support were received during the preparation of this manuscript.

Proje Numarası

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Kaynakça

• Akcay, H., Oguz, A., & Karapire, C. (2003). Study of heavy metal pollution and speciation in Buyak Menderes and Gediz river sediments. Water research, 37(4), 813-822. https://doi.org/10.1016/S0043-1354(02)00392-5
• Aksever, F., & Büyükşahin, S. (2017). Assessment of variations in water quality using statistical techniques: a case study of Işıklı Lake, Çivril/Denizli, Turkey. Arabian Journal of Geosciences, 10(6), 1-17. https://doi.org/10.1007/s12517-017-2877-4
• Akyildiz, G. K., & Duran, M. (2021). Evaluation of the impact of heterogeneous environmental pollutants on benthic macroinvertebrates and water quality by long-term monitoring of the buyuk menderes river basin. Environmental Monitoring and Assessment, 193(5), 1-23. https://doi.org/10.1007/s10661-021-08981-8
• Algül, F., & Beyhan, M. (2020). Concentrations and sources of heavy metals in shallow sediments in Lake Bafa, Turkey. Scientific reports, 10(1), 1-12. https://doi.org/10.1038/s41598-020-68833-2
• Aminu, M., Matori, A. N., Yusof, K. W., Malakahmad, A., & Zainol, R. B. (2015). A GIS-based water quality model for sustainable tourism planning of Bertam River in Cameron Highlands, Malaysia. Environmental Earth Sciences, 73(10), 6525-6537. https://doi.org/10.1007/s12665-014-3873-6
• APHA. (2017). Standard Methods for the Examination of Water and Wastewater, Washington: In American Public Health Association (APHA).
• Basatnia, N., Hossein, S. A., Rodrigo-Comino, J., Khaledian, Y., Brevik, E. C., Aitkenhead-Peterson, J., & Natesan, U. (2018). Assessment of temporal and spatial water quality in international Gomishan Lagoon, Iran, using multivariate analysis. Environmental Monitoring and Assessment, 190(5), 1-17. https://doi.org/10.1007/s10661-018-6679-2
• Bellos, D., Sawidis, T., & Tsekos, I. (2004). Nutrient chemistry of river pinios (Thessalia, Greece). Environment International, 30(1), 105-115. https://doi.org/10.1016/S0160-4120(03)00153-3
• Boyd, C. E., & Tucker, C. S. (1992). Water quality and pond soil analyses for aquaculture. Water quality and pond soil analyses for aquaculture. pp.188.
• Bulut, C., Atay, R., Uysal, K., & Köse, E. (2012). Çivril Gölü Yüzey Suyu Kalitesinin Değerlendirilmesi. Anadolu University of Sciences & Technology-C: Life Sciences & Biotechnology, 2(1).
• Chapman, D., Kimstach, V. (1996). Water Quality Assessments, A Guide to Use of Biota, Sediments and Water in Environmental Monitoring. WHO by F & FN Spon, London
• Çondur, F., & Cömertler, N. (2010). Çevre Kirliliği ve Yoksulluk İlişkisi: Büyük Menderes Havzasi Örneği. Ekonomi Bilimleri Dergisi, 2(2), 65-72. (in Turkish).
• Döndü, M., Özdemir, N., Demirak, A., Doğan, H. M., Dincer, N. G., & Keskin, F. (2022). Seasonal assessment of the impact of fresh waters feeding the Bay of Gökova with water quality index (WQI) and comprehensive pollution index (CPI). Environmental Forensics, 1-13. https://doi.org/10.1080/15275922.2022.2081889
• Durkan, N., Işıloğlu, M., Kabar, K., & Doğan, Y. (2008). Heavy metal levels in some macrofungi from Büyük Menderes river basin, Turkey. Natura Montenegrina, Podgorica, 7(2) 465-473.
• Durmaz, E., Kocagöz, R., Bilacan, E., & Orhan, H. (2017). Metal pollution in biotic and abiotic samples of the Büyük Menderes River, Turkey. Environmental Science and Pollution Research, 24(5), 4274-4283. https://doi.org/10.1007/s11356-016-6417-7
• Elassassi, Z., Ougrad, I., Bedoui, I., Kara, M., El Bouch, M., Assouguem, A., ... & Chaouch, A. (2022). Spatial and Temporal Variations of the Water Quality of the Tiflet River, Province of Khemisset, Morocco. Water, 14(12), 1829. https://doi.org/10.3390/w14121829
• EPA. (1971). Nitrogen, nitrate (colourimetric, Brucine) by spectrophotometer. Methods for the Chemical Analysis of Water and Wastes, United States Environmental Protection Agency, Approved for NPDES and SDWA, Method 352.1.
• Esen, S. E., & Hein, L. (2020). Development of SEEA water accounts with a hydrological model. Science of the Total Environment, 737, 140168. https://doi.org/10.1016/j.scitotenv.2020.140168
• Ewaid, S. H., Abed, S. A., & Kadhum, S. A. (2018). Predicting the Tigris River water quality within Baghdad, Iraq by using water quality index and regression analysis. Environmental Technology & Innovation, 11, 390-398. https://doi.org/10.1016/j.eti.2018.06.013
• Gazzaz, N. M., Yusoff, M. K., Ramli, M. F., Aris, A. Z., & Juahir, H. (2012). Characterization of spatial patterns in river water quality using chemometric pattern recognition techniques. Marine Pollution Bulletin, 64(4), 688-698. https://doi.org/10.1016/j.marpolbul.2012.01.032
• Gong, G., Mattevada, S., O’Bryant, S.E. 2014. Comparison of the accuracy of kriging and IDW interpolations in estimating groundwater arsenic concentrations in Texas. Environmental research 130, 59-69. https://doi.org/10.1016/j.envres.2013.12.005
• Gülcü-Gür, B., & Tekin-Özan, S. (2015). The Investigation of heavy metal levels in water and sediment from Işikli Lake (Turkey) in relation to seasons and physico-chemical parameters. Journal of Aquaculture Engineering and Fisheries Research, 3(2), 87-96. https://doi.org/10.3153/JAEFR17012
• Hurley, T., Sadiq, R., & Mazumder, A. (2012). Adaptation and evaluation of the Canadian Council of Ministers of the Environment Water Quality Index (CCME WQI) for use as an effective tool to characterize drinking source water quality. Water Research, 46(11), 3544-3552. https://doi.org/10.1016/j.watres.2012.03.061
• Kara, Y., Kara, I., & Basaran, D. (2004). Investigation of some physical and chmical parameters of water in the Lake Isykli in Denizli, Turkey. International J. Agriculture and Biol, 6(2), 275-277.
• Koca, S., Koca, Y. B., Yildiz, Ş., & Gürcü, B. (2008). Genotoxic and histopathological effects of water pollution on two fish species, Barbus capito pectoralis and Chondrostoma nasus in the Büyük Menderes River, Turkey. Biological Trace Element Research, 122(3), 276-291. https://doi.org/10.1007/s12011-007-8078-3
• Kocer, M. A. T., & Sevgili, H. (2014). Parameters selection for water quality index in the assessment of the environmental impacts of land-based trout farms. Ecological Indicators, 36, 672-681. https://doi.org/10.1016/j.ecolind.2013.09.034
• Kükrer, S., & Mutlu, E. (2019). Assessment of surface water quality using water quality index and multivariate statistical analyses in Saraydüzü Dam Lake, Turkey. Environmental monitoring and assessment, 191(2), 1-16. https://doi.org/10.1007/s10661-019-7197-6
• Li, S., Li, J., & Zhang, Q. (2011). Water quality assessment in the rivers along the water conveyance system of the Middle Route of the South to North Water Transfer Project (China) using multivariate statistical techniques and receptor modeling. Journal of Hazardous Materials, 195, 306-317. https://doi.org/10.1016/j.jhazmat.2011.08.043
• Matta, G., Kumar, A., Nayak, A., Kumar, P., Kumar, A., & Tiwari, A. K. (2020). Water quality and planktonic composition of river Henwal (India) using comprehensive pollution index and biotic-indices. Transactions of the Indian National Academy of Engineering, 5(3), 541-553. https://doi.org/10.1007/s41403-020-00094-x
• Minareci, O., & Çakir, M. (2018). Adıgüzel Baraj Gölü’nde (Denizli/Türkiye) deterjan, fosfat, bor ve ağır metal kirliliğinin belirlenmesi. Journal of the Institute of Science and Technology, 8(1), 61-67. (in Turkish).
• Minareci, O., Cakir, M., & Minareci, E. (2018). The study of surface water quality in Buyuk Menderes River (Turkey): determination of anionic detergent phosphate boron and some heavy metal contents. Applied Ecology and Environmental Research, 16(4), 5287-5298. http://dx.doi.org/10.15666/aeer/1604_52875298
• Olsen, R. L., Chappell, R. W., & Loftis, J. C. (2012). Water quality sample collection, data treatment and results presentation for principal components analysis–literature review and Illinois River watershed case study. Water research, 46(9), 3110-3122. https://doi.org/10.1016/j.watres.2012.03.028
• Osman, A. G., & Kloas, W. (2010). Water quality and heavy metal monitoring in water, sediments, and tissues of the African Catfish Clarias gariepinus (Burchell, 1822) from the River Nile, Egypt. Journal of Environmental Protection, 1(04), 389. https://doi.org/10.4236/jep.2010.14045
• Özdemir, N., Demirak, A., & Keskin, F. (2014). Quality of water used during cage cultivation of rainbow trout (Oncorhynchus mykiss) in Bereket HES IV Dam Lake (Muğla, Turkey). Environmental monitoring and assessment, 186(12), 8463-8472. https://doi.org/10.1007/s10661-014-4030-0
• Özdemir, N., Perktaş, M., & Döndü, M. (2022). Evaluation of Surface Water Quality Parameters by Multivariate Statistical Analyses in Northern Coastal Line of Gökova Bay (Muğla, Turkey). Adnan Menderes Üniversitesi Ziraat Fakültesi Dergisi, 19(1), 81-91.
• Özdemir, N., Dokuyucu, A., Ceviz, N. A., Döndü, M., Demirak, A., & Keskin, F. (2023). A comparative assessment of the lagoons with water quality indexes and based on GIS: A study on the Aegean Sea and Mediterranean Sea. Environmental Forensics, 1-23. https://doi.org/10.1080/15275922.2023.2218661
• Pesce, S. F., & Wunderlin, D. A. (2000). Use of water quality indices to verify the impact of Córdoba City (Argentina) on Suquı́a River. Water research, 34(11), 2915-2926. https://doi.org/10.1016/S0043-1354(00)00036-1
• Ram, A., Tiwari, S. K., Pandey, H. K., Chaurasia, A. K., Singh, S., & Singh, Y. V. (2021). Groundwater quality assessment using water quality index (WQI) under GIS framework. Applied Water Science, 11(2), 1-20. https://doi.org/10.1007/s13201-021-01376-7
• Rounds, S. A., Wilde, F. D., & Ritz, G. F. (2013). Dissolved oxygen (ver. 3.0). US Geological Survey Technology Water Resources Investment, 9-A6.
• Rostami, A. A., Isazadeh, M., Shahabi, M., & Nozari, H. (2019). Evaluation of geostatistical techniques and their hybrid in modelling of groundwater quality index in the Marand Plain in Iran. Environmental Science and Pollution Research, 26(34), 34993-35009. https://doi.org/10.1007/s11356-019-06591-z
• Singh, K. P., Malik, A., & Sinha, S. (2005). Water quality assessment and apportionment of pollution sources of Gomti river (India) using multivariate statistical techniques-a case study. Analytica Chimica Acta, 538(1-2), 355-374. https://doi.org/10.1016/j.aca.2005.02.006
• Son, C. T., Giang, N. T. H., Thao, T. P., Nui, N. H., Lam, N. T., & Cong, V. H. (2020). Assessment of Cau River water quality assessment using a combination of water quality and pollution indices. Journal of Water Supply: Research and Technology-Aqua, 69(2), 160-172. https://doi.org/10.2166/aqua.2020.122
• Sun, X., Zhang, H., Zhong, M., Wang, Z., Liang, X., Huang, T., & Huang, H. (2019). Analyses on the temporal and spatial characteristics of water quality in a seagoing river using multivariate statistical techniques: A case study in the Duliujian River, China. International journal of environmental research and public health, 16(6), 1020. https://doi.org/10.3390/ijerph16061020
• SYGM. (2018). Tarım ve Orman Bakanlığı, Su Yönetimi Genel Müdürlüğü, Havza Koruma Eylem Planlarının Nehir Havzası Yönetim Planlarına Dönüştürülmesi için Teknik Yardım, Büyük Menderes Nehir Havzası Yönetim Planı, 222s. (in Turkish).
• Şener, Ş., Şener, E., & Davraz, A. (2017). Evaluation of water quality using water quality index (WQI) method and GIS in Aksu River (SW-Turkey). Science of the Total Environment, 584, 131-144. https://doi.org/10.1016/j.scitotenv.2017.01.102
• Şimşek, A., & Mutlu, E. (2023). Assessment of the water quality of Bartın Kışla (Kozcağız) Dam by using geographical information system (GIS) and water quality indices (WQI). Environmental Science and Pollution Research, 30(20), 58796-58812. https://doi.org/10.1007/s11356-023-26568-3
• Şimşek, A., Türkten, H., & Bakan, G. (2022). Evaluation of water quality of the middle black sea region, kızılırmak and yeşilırmak rivers using water quality index and statistical analysis. The Black Sea Journal of Sciences, 12(2), 645-662.
• Tekin Özan, S., & Aktan, N. (2012). Relationship of heavy metals in water, sediment and tissues with total length, weight and seasons of Cyprinus carpio L, 1758 from Işikli Lake (Turkey). Pakistan Journal of Zoology, 44(5), 1405-1416.
• Tibebe, D., Kassa, Y., Melaku, A., & Lakew, S. (2019). Investigation of spatio-temporal variations of selected water quality parameters and trophic status of Lake Tana for sustainable management, Ethiopia. Microchemical Journal, 148, 374-384. https://doi.org/10.1016/j.microc.2019.04.085
• TS266. (2005). Water Intended for Human Consumption. Institution of Turkish Standards Publications (Türkiye). TWPCR. (2023). Turkish Water Pollution Control Regulation Official Gazette. No: 32091, (publication date:1/2/2023. Türkiye (in Turkish).
• Valentini, M., dos Santos, G. B., & Muller Vieira, B. (2021). Multiple linear regression analysis (MLR) applied for modeling a new WQI equation for monitoring the water quality of Mirim Lagoon, in the state of Rio Grande do Sul—Brazil. SN Applied Sciences, 3(1), 1-11. https://doi.org/10.1007/s42452-020-04005-1
• Viessman, W., & Hammer, M. J. (1998). Water supply and pollution control. Pearson Education, New Jersey.
• Wang, J., Liu, G., Liu, H., & Lam, P. K. (2017). Multivariate statistical evaluation of dissolved trace elements and a water quality assessment in the middle reaches of Huaihe River, Anhui, China. Science of the total environment, 583, 421-431. https://doi.org/10.1016/j.scitotenv.2017.01.088
• Wu, E. M. Y., & Kuo, S. L. (2012). Applying a multivariate statistical analysis model to evaluate the water quality of a watershed. Water Environment Research, 84(12), 2075-2085. https://doi.org/10.2175/106143012X13415215906979
• Wu, Z., Wang, X., Chen, Y., Cai, Y., & Deng, J. (2018). Assessing river water quality using water quality index in Lake Taihu Basin, China. Science of the Total Environment, 612, 914-922. https://doi.org/10.1016/j.scitotenv.2017.08.293
• Yang, W., Zhao, Y., Wang, D., Wu, H., Lin, A., & He, L. (2020). Using principal components analysis and IDW interpolation to determine spatial and temporal changes of surface water quality of Xin’anjiang river in Huangshan, China. International journal of environmental research and public health, 17(8), 2942. https://doi.org/10.3390/ijerph17082942
• Yang, S., Liang, M., Qin, Z., Qian, Y., Li, M., & Cao, Y. (2021). A novel assessment considering spatial and temporal variations of water quality to identify pollution sources in urban rivers. Scientific reports, 11(1), 1-11. https://doi.org/10.1038/s41598-021-87671-4
• Yılmaz, E., & Koç, C. (2016). Organic pollution of the Büyük Menderes River, Turkey and effects on aquaculture. Environmental Science and Pollution Research, 23(12), 11493-11506. https://doi.org/10.1007/s11356-016-6397-7
• Yılmaz, E., Koç, C., & Gerasimov, I. (2020). A study on the evaluation of the water quality status for the Büyük Menderes River, Turkey. Sustainable Water Resources Management, 6(6), 1-16. https://doi.org/10.1007/s40899-020-00456-x
• Yilgor, S., Kucuksezgin, F., & Ozel, E. (2012). Assessment of metal concentrations in sediments from Lake Bafa (Western Anatolia): An index analysis approach. Bulletin of Environmental Contamination and Toxicology, 89(3), 512-518. https://doi.org/10.1007/s00128-012-0699-3
• Zeinalzadeh, K., & Rezaei, E. (2017). Determining spatial and temporal changes of surface water quality using principal component analysis. Journal of Hydrology: Regional Studies, 13, 1-10. https://doi.org/10.1016/j.ejrh.2017.07.002
• Zhong, M., Zhang, H., Sun, X., Wang, Z., Tian, W., & Huang, H. (2018). Analyzing the significant environmental factors on the spatial and temporal distribution of water quality utilizing multivariate statistical techniques: a case study in the Balihe Lake, China. Environmental Science and Pollution Research, 25(29), 29418-29432. https://doi.org/10.1007/s11356-018-2943-9