Modeling water quality in a tropical reservoir using CE-QUAL-W2: handling data scarcity, urban pollution and hydroclimatic seasonality
نویسندگان
چکیده
ABSTRACT This study applies a 2-D hydrodynamic model (CE-QUAL-W2) for simulating water quality dynamics in tropical reservoir located Fortaleza, Ceará, Brazil. While rainfall concentrates basically the first semester, this receives untreated sewage from an urban catchment throughout year. To deal with data scarcity, simplifications are justified and several adjustments carried out, so that only parameters temperature (T), dissolved oxygen (DO), chlorophyll (Chla) phosphate (PO4) kept modeling process. Additionally, different assumptions performed regarding time-evolution of inlet concentrations: constant values, step linear variations. The results indicate simplified can predict well seasonal variations T, DO, Chla PO4. best fitting between measurements obtained assumption variation concentrations, followed by values variation. Moreover, reveal while PO4 presents complete mixing behavior clear increase concentration wet to dry season, DO show alternating stratification-destratification patter during day-night but without relevant Model simulations scenarios also significant reduction second external load has stronger impact on outputs than hydroclimatic variability. approach developed present is proposed as simple way cope pollution seasonality reservoirs.
منابع مشابه
Improved Thermal Predictions in CE-QUAL-W2
Recent modifications to the transport scheme within the two-dimensional hydrodynamic and water quality model CEQUAL-W2 have resulted in a significant improvement in the prediction of temperature distributions by reducing numerical diffusion. These changes allow for a more accurate description of wind effects in the model. This paper briefly describes the modifications to CE-QUAL-W2 and presents...
متن کاملprediction of thermal stratification in proposed bakhtyari reservoir with ce-qual-w2
construction and operation of dams have two main effects on streams. at first it increases detention time and then leads to thermal stratification. changing of water quality is the result of these effects and the outflow has different physical, chemical and biological characteristics from inflow.in this study thermal regime in proposed bakhtyari reservoir was simulated with ce-qual-w2 model. th...
متن کاملAssessment of Ilam Reservoir Eutrophication Response in Controlling Water Inflow
In this research, a 2D laterally averaged model of hydrodynamics and water quality, CE-QUAL-W2, was applied to simulate water quality parameters in the Ilam reservoir. The water quality of Ilam reservoir was obtained between mesotrophic and eutrophic based on the measured data including chlorophyll a, total phosphorus and subsurface oxygen saturation. The CE-QUAL-W2 model was calibrated and ver...
متن کاملDetermining the best water quality model for the rivers in north of Iran (case study: Pasikhan River)
The aim of this paper is to study the popular models used for the simulation of major elements of a water quality system. The present study compares results of the CE-QUAL-W2 model with the WASP5 and MIKE11 models to assess the water quality of Pasikhan River. The contaminant loadings of Nitrate and Phosphate are utilized in the CE-QUAL-W2, WASP5 and MIKE11 simulations. This study is the first ...
متن کاملپیشبینی لایهبندی حرارتی سد در دست احداث بختیاری با استفاده از مدل CE-QUAL-W2
در دهههای اخیر و در شروع قرن جدید یکی از نگرانیهای مردم ساکن کرة زمین و خصوصاً کشورهای واقع در مناطق خشک از جمله کشور ما مساله آب است به گونهای که دسترسی به آب با کمیت و کیفیت مناسب به یک چالش مهم تبدیل شده است. آب خروجی مخازن سدها نسبت به آب ورودی آنها به دلیل افزایش زمان ماند آب و ایجاد پدیده لایهبندی تغییر کیفیت میدهند. خصوصیات دمایی و پایداری آب مخازن سدها را میتوان با استفاده از مدلها...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Revista Brasileira de Recursos Hídricos
سال: 2023
ISSN: ['1414-381X', '2318-0331']
DOI: https://doi.org/10.1590/2318-0331.282320230003