مجله آب و فاضلاب

مجله آب و فاضلاب

استخراج، تحلیل و مقایسه آماری الگوی کوتاه‌مدت ساعتی- شبانه‌روزی مصرف آب در مناسبت‌های مختلف ملّی و مذهبی در طول سال؛ مطالعه موردی: شهر تهران

نوع مقاله : مقاله پژوهشی

نویسندگان
شیرزاد ایرانمهر 1
علی موسوی 2
سیامک کاظم‌زاده حنانی 2
1 دانشجوی دکترا، دانشکده مهندسی مکانیک، دانشگاه صنعتی شریف، تهران، ایران
2 استاد، دانشکده مهندسی مکانیک، دانشگاه صنعتی شریف، تهران، ایران
10.22093/wwj.2025.504400.3468
چکیده
استخراج و تحلیل الگوی تقاضای آب مشترکین در شبکه‌های توزیع آب می‌تواند در برنامه‌ریزی مناسب برای تأمین تقاضای آب، نقش مهمی ایفا ‌کند. با این وجود، الگوی مصرف آب به عوامل مختلفی وابسته است و برای شناخت دقیق‌تر الگو، بررسی این عوامل ضروری است. یکی از عوامل مؤثر بر مصرف آب، مسائل فرهنگی- اجتماعی است که می‌تواند بر روی حجم و الگوی مصرف آب تأثیرگذار باشد. در این پژوهش، به بررسی تأثیر مناسبت‌های مختلف ملّی و مذهبی به‌عنوان بخشی از مسائل فرهنگی و اجتماعی، بر روی الگوی مصرف آب پرداخته شد. در این راستا، تعطیلات نوروز، سیزده به‌در، شب یلدا، دهه محرم، اعیاد مذهبی قربان، غدیر و فطر ارزیابی شدند. همچنین تأثیر تغییرات فصلی، ماه رمضان و تعطیلات نیز بررسی شدند. برای پیاده‌سازی این امر، مجموعه داده‌ای از سوابق مصرف آب در یک محدوده مطالعاتی در شهر تهران در یک بازه زمانی 9 ساله ایجاد شد. سپس بر اساس این داده‌ها، به استخراج سوابق مصرف در مناسبت‌های بررسی شده، پرداخته شد. در ادامه با تحلیل آماری داده‌ها، الگوی مصرف آب ارزیابی و تحلیل شد. نتایج این پژوهش وابستگی مصرف آب را به نوع مناسبت و رفتار فرهنگی مردم، از نظر حجم و الگوی مصرف در طول شبانه‌روز، تأیید کرد. نتایج تحلیل‌ها نشان داد که مصرف آب در ماه تیر به‌عنوان پرمصرف‌ترین ماه سال، 33 درصد نسبت به ماه فروردین و 30 درصد نسبت به ماه دی بیشتر است. همچنین انتهای ماه اسفند دارای بیشینگی مقطعی بوده و در ایام نوروز به کمترین مقدار خود در طول سال می‌رسد. علاوه بر این، مصرف آب در مناسبت‌هایی مانند شب یلدا یا روز اول سال، رفتارهای خاصی در ساعاتی از شبانه‌روز دارند که ضرورت توجه به این موارد را مورد تأیید قرار می‌دهد. نتایج استخراج شده از این پژوهش نشان داد که الگوی مصرف آب وابسته به مناسبت‌ها و زمان‌بندی آن‌ها، رفتارهای مشخصی در شبانه‌روز و ساعاتی از شبانه‌روز دارد که شناخت این وابستگی به مدیریت بهینه تأمین آب و همچنین افزایش دقت مدل‌های توسعه داده شده برای پیش‌بینی تقاضای آب، کمک می‌کند.
کلیدواژه‌ها
الگوی مصرف آب
شبکه توزیع آب
پیش‌بینی مصرف آب
مناسبت‌های ملّی و مذهبی
شهر تهران

موضوعات

عنوان مقاله English

Extraction, Analysis and Statistical Comparison of Short-Term Hourly-Daily Water Consumption Patterns on Various National and Religious Occasions Throughout the Year; Case Study: Tehran City

نویسندگان English

Shirzad Iranmehr 1
Ali Moosavi 2
Siamak Kazemzadeh Hannani 2
1 PhD. Student, Faculty of Mechanical Engineering, Sharif University of Technology, Tehran, Iran
2 Prof., Faculty of Mechanical Engineering, Sharif University of Technology, Tehran, Iran
چکیده English

Extracting and analyzing the water demand pattern of customers in water distribution networks can play an important role in appropriate planning for providing water demand. However, the water consumption pattern depends on various factors, and to understand the pattern more accurately, it is necessary to analyze these factors. One of the factors affecting water consumption is sociocultural issues, which can affect the volume and pattern of water consumption. In the current study, the effect of various national and religious occasions, as part of the sociocultural issues, on the water consumption pattern is evaluated. In this regard, the holidays of Nowruz, Sizdah Beh Dar, Yalda Night, Muharram decade, religious festivals of Qurban, Ghadir and Fitr are evaluated. The effects of seasonal changes, the month of Ramadan and holidays are also examined. To implement this, a dataset of water consumption records in a study area in Tehran over a period of 9 years has been created. Then, based on these data, consumption records on the occasions under study have been extracted. Next, the water consumption pattern is evaluated and analyzed by statistical analysis of the data. The results of the present study confirm the dependency of water consumption on the type of occasion and cultural behavior of people, in terms of volume and consumption pattern throughout the day. The results of the conducted analyses show that water consumption in the month of Tir, as the most consumed month of the year, is 33% higher than in the month of Farvardin and 30% higher than in the month of Dey. Also, the end of Esfand has a local peak and reaches its lowest amount during the days of Nowruz. In addition, water consumption on occasions such as Yalda Night or the first day of the year has specific behaviors at certain times of the day, which confirms the need to pay attention to these cases. The results of this study show that the water consumption pattern depends on the occasions and their timing and has specific behaviors throughout the day and at certain times of the day. Understanding this dependency helps in the optimal management of water supply and also increases the accuracy of models developed to predict water demand.

کلیدواژه‌ها English

Water Consumption Pattern
Water Distribution Network
Water Demand Forecasting
National and Religious Occasions
Tehran City
Aghabeigi, M., Kavosi Kalashmi, M. and Allahyari, M. S., 2013. Modeling Tehran municipal water consumption applying seasonal models. Journal of Iranian Water Research, 7, 69-77. (In Persian). [Link].
Alikhani, M. R. and Moeini, R., 2023. Genetic programming method in urban water consumption prediction (case study: Najafabad city). Journal of Water and Sustainable Development, 10, 87-98. (In Persian). https://doi.org/10.22067/jwsd.v10i3.2306-1251.
Asgharneghad, N. and Davari, K., 2015. Study of social and cultural factors affecting water consumption patterns among citizens of Dehdasht city in 2015. International Conference on Humanities, Psychology and Social Sciences. Tehran. Iran. (In Persian). [Link].
Falahi, M. A., Ansari, H. and Moghaddas, S., 2012. Evaluating effective factors on household water consumption and forecasting its demand: panel data approach. Journal of Water and Wastewater, 23, 78-87. (In Persian). [Link].
Fu, G., Jin, Y., Sun, S., Yuan, Z. and Butler, D., 2022. The role of deep learning in urban water management: a critical review. Water Research, 223, 118973. https://doi.org/10.1016/j.watres.2022.118973.
Ghaffari Moghadam, Z. and Sardarshahraki, A., 2023. Prediction of monthly consumption of drinking water in the Sistan region under climate change impact. Journal of Natural Environmental Hazards, 12, 75-100. (In Persian). https://doi.org/10.22111/jneh.2023.42994.1912.
Ghalehkhondabi, I., Ardjmand, E., Young, W. A. and Weckman, G. R., 2017. Water demand forecasting: review of soft computing methods. Environmental Monitoring and Assessment, 189, 313. https://doi.org/10.1007/s10661-017-6030-3.
Ghasemlou, Z., Jangi Oshtolagh, I. and Jangi Oshtolagh, M., 2023. Studying water consumption models in Iran and predicting its future. 6th International Conference on Technology Development in Water Science, Watershed Management and River Engineering. Tehran, Iran. (In Persian). [Link].
Ghiassi, M., Zimbra David, K. and Saidane, H., 2008. Urban water demand forecasting with a dynamic artificial neural network model. Journal of Water Resources Planning and Management, 134, 138-146. https://doi.org/10.1061/(ASCE)0733-9496(2008)134:2(138).
Mollaramezani, M. and Tabesh, M., 2013. Assessment models to predict the long-term urban water consumption. 6th National Conference on Watershed Management and Soil and Water Resources Management. Kerman, Iran. (In Persian). [Link].
Mousavi, S. N. and Kavoosi Kalashami, M., 2016. Evaluation of seasonal, ANN and hybrid models in modeling urban water consumption a case study of Rasht City. Journal of Water and Wastewater, 27(4), 93-98. (In Persian). [Link].
Porsalehi, F., Mohammadi, H., Akbarpor, A. and Hashemi, S. R., 2014. Predicting the effects of water consumption on per capita urban water management using systematic thinking (case study: Birjand). Water Harvesting and Watershed Management Congress. Birjand, Iran. (In Persian). [Link].
Qalami, V., Nizam Khaiavi, K. and Nizam Khaiavi, K., 2011. Short-term prediction of urban water consumption using artificial neural networks (case study of Meshginshahr County). 3rd National Conference on Urban Development. Sanandaj, Iran. (In Persian). [Link].
Rezaali, M., Karimi, A., Mohammadnejad, B. and Rasuli-Kenari, A., 2018. Comparison of various methods for predicting urban drinking water consumption (case study: Mahdieh Town, Qom). 2nd Congress of Iranian Water and Wastewater Science and Engineering. Esfahan, Iran. (In Persian). [Link].
Sahoo, B. B., Panigrahi, B., Nanda, T., Tiwari, M. K. and Sankalp, S., 2023. Multi-step ahead urban water demand forecasting using deep learning models. SN Computer Science, 4, 752. https://doi.org/10.1007/s42979-023-02246-6.
Shahangian, A. R., Tabesh, M., Yazdanpanah, M. and Zubaidi, T., 2020. Comparison of psychological factors affecting the residential water curtailment behaviors and water-efficiency behaviors; case study of Tehran, Iran. Iran-Water Resources Research, 16, 31-46. (In Persian). [Link].
Tabesh, M., Behboudian, S. and Beygi, S., 2015. Long term prediction of drinking water demand (case study of Neyshabur City, Iran). Iran-Water Resources Research, 10, 14-25. (In Persian). [Link].
Tabesh, M., Dini, M., Khoshkholgh, A. J. and Zahraie, B., 2008. Estimation of Tehran daily water demand using time series analysis. Iran-Water Resources Research, 4, 57-65. (In Persian). [Link].
Tabesh, M., Mollaramezani, M., Shirzad, A. and Rasi Faghih, N., 2022. Long-term prediction of domestic water demand using Bayesian Belief networks. Journal of Civil and Environmental Engineering, 52, 47-56. (In Persian). https://doi.org/10.22034/jcee.2021.31917.1763.
Talebian, M., Ahmadifar, H., Mirroshandel, S. A. and Shakeri, M., 2019. Predicting water consumption using data mining techniques. 3rd International Conference on Soft Computing. Roodsar, Iran. (In Persian). [Link].
Vijai, P. and Bagavathi Sivakumar, P., 2018. Performance comparison of techniques for water demand forecasting. Procedia Computer Science, 143, 258-266. https://doi.org/10.1016/j.procs.2018.10.394.
Yazdani, S., Abedi, A. and Abedi, S., 2014. Presenting a prediction model for drinking and agricultural water consumption in Tehran Province (case study: Amirkabir Dam). Research on Iranian Agricultural Economics and Development, 45, 41-48. (In Persian). https://doi.org/10.22059/ijaedr.2014.51577.
Zare-Darniani, A. A., Malakshahi, N., Golroyan, M. and Hosseini, K., 2012. Forecasting daily drinking water consumption using a fuzzy logic system. 9th International Congress on Civil Engineering. Isfahan, Iran. (In Persian). [Link].
Zarifzadeh, S. and Kaveh-Yazdy, F., 2022. A monthly water consumption prediction model for municipal consumers. Water Resources Engineering Journal, 15, 94-112. (In Persian). https://doi.org/10.30495/wej.2021.25230.2251.
Zhang, Q., Yang, J., Zhang, W., Kumar, M., Liu, J., Liu, J. et al., 2023. Deep fuzzy mapping nonparametric model for real-time demand estimation in water distribution systems: a new perspective. Water Research, 241, 120145. https://doi.org/10.1016/j.watres.2023.120145.