نوع مقاله : مقاله پژوهشی
نویسندگان
1 دانشجوی کارشناسی ارشد، گروه مهندسی عمران، دانشکده عمران و محیطزیست، دانشگاه شهید بهشتی، تهران، ایران
2 استادیار دانشکده مهندسی عمران، آب و محیط زیست دانشگاه شهید بهشتی
3 دانشجوی دکتری، دانشکده مهندسی عمران، آب و مهندسی محیطزیست، دانشگاه شهید بهشتی، تهران، ایران
چکیده
کلیدواژهها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
Understanding river water quality is essential for the planning and protection of water resources. Benthic organisms, especially macroinvertebrates, serve as accurate indicators of water quality conditions. In this study, six stations along the Aras River—three upstream and three downstream of the city of Agarak—were selected to assess water quality using the IRWQISC and NSFWQI indices, as well as biological indices including BMWP, ASPT, FBI, and Shannon-Wiener. Sampling was conducted in the autumn of 2022, and various parameters such as turbidity, water temperature, dissolved oxygen, nitrate, total phosphate, fecal coliform, BOD₅, EC, and pH were measured. A total of 21 macroinvertebrate taxa were identified, with Station 2 showing the highest diversity (17 taxa) and Station 4 the lowest (7 taxa). According to the NSFWQI, water quality at Station 1 was rated as good, while the remaining stations showed moderate quality. The IRWQISC index classified Stations 1 and 3 as having moderate quality and the others as relatively poor. The BMWP index rated the first three stations as moderate and the last three as poor. The ASPT index indicated probable moderate pollution at Stations 1, 2, 5, and 6, and probable severe pollution at Stations 3 and 4. The HFBI rated water quality as good at Stations 1, 3, 4, and 5, poor at Station 2, and fair at Station 6. The Shannon-Wiener index revealed a decline in water quality from Station 1 to 3, followed by an improvement downstream. Correlation analysis showed positive relationships between turbidity, BOD, nitrate, and phosphate. These results indicate pollution downstream of Agarak and a decrease in water quality likely caused by a local environmental pollution source, which has altered the macroinvertebrate community and ecological conditions of the area.
کلیدواژهها [English]
EXTENDED ABSTRACT
Rivers play a crucial role in supplying water for various activities, including agriculture, industry, drinking water, and electricity generation. Awareness of water quality is a critical need in water resource planning and development. Given the diversity of water pollutants, it is not feasible to provide a single standard for assessing water quality, and therefore, various indices have been developed to evaluate water quality.One of the most widely used and simple water quality indices worldwide is the NSFWQI (National Sanitation Foundation Water Quality Index), which was first introduced in the 1970s with the support of the U.S. National Sanitation Foundation. This index evaluates nine parameters—pH, DO (Dissolved Oxygen), TDS (Total Dissolved Solids), nitrate, temperature, phosphorus, BOD (Biochemical Oxygen Demand), turbidity, and fecal coliform—using a weighting factor. In Iran, considering the climatic conditions and water resource challenges, the Iran Surface Water Quality Index (IRWQISC) has been developed, which is an integrated index derived from NSFWQI and BCEWQI (British Columbia Water Quality Index) that provides a quantitative assessment of water quality.Another important method for estimating water quality is the assessment of biological indices. These methods are diverse and involve the direct study of plants and animals that inhabit the natural environment to estimate water quality. Benthic organisms, particularly macroinvertebrates, accurately and sensitively reflect the water quality conditions in any given area within aquatic ecosystems. They can be used in the assessment of aquatic ecosystems and to determine trends in water quality changes.
In this study, parameters including EC, pH, turbidity, water temperature, dissolved oxygen, nitrate, total phosphate, fecal coliform, and BOD5 were measured at six stations using a portable Hack multi-parameter device. The selected stations were located along the Aras River within East Azerbaijan Province. Sampling was conducted in the autumn of 2022. After collecting the samples, they were placed in ice-containing containers and transported to the laboratory. For macroinvertebrate sampling, a Surber sampler with an area of 0.09 square meters was used. At each station, three separate macroinvertebrate samples were sieved using a 0.5 mm mesh sieve, and the contents of the sieves were separately preserved in containers with 96% alcohol and Rose Bengal (at a concentration of 1:1000). The samples were then transferred to the laboratory for sorting and identification. In the laboratory, each sample was again sieved using a 0.5 mm mesh sieve, and the macroinvertebrates were separated. The coordinates of each station and its elevation above sea level were recorded using a GPS device. Subsequently, the water quality indices IRWQIsc and NSFWQI, along with the biological indices BMWP, ASPT, FBI, and Shannon-Wiener, were measured.
In this study, to assess the water quality and biological status of the Aras River, water quality parameters were collected during the autumn from six stations along the river. These were evaluated using Pearson's correlation coefficient and the water quality indices IRWQISC and NSFWQI, as well as the biological indices BMWP, ASPT, FBI, and Shannon-Wiener. The results from the IRWQISC index indicated relatively poor water quality across all stations, while the NSFWQI index suggested moderate quality for the river. Moreover, the biological indices BMWP, ASPT, FBI, and Shannon-Wiener pointed to pollution at the station downstream of Agarak and a decrease in water quality at this station compared to others. The findings from the biological assessments revealed the presence of an environmental pollutant source in the Agarak area, which has led to changes in the macroinvertebrate community and ecological conditions in the area downstream of Agarak.
Ali Moridi and Reza Khalili conceived of the presented idea, developed the theory and performed the computations.and carried out the experiment. Nadia Hassanloo verified analytical methods and performed the computations. Pardis Alipour investigated and supervised the findings of this work. All authors discussed the results and contributed to the final manuscript, but Ali Moridi worte the final version of manuscript. All authors have read and agreed to the published version of the manuscript. All authors contributed according their name place to the conceptualization of the article and writing of the original and subsequent drafts.
Data is available on reasonable request from the authors.
The authors would like to thank all participants of the present study.
The authors avoided data fabrication, falsification, plagiarism, and misconduct.
The author declares no conflict of interest.