IWI considers various types of external factors and three dimensions of sustainability, and it can address the mismeasurement of development, which is estimated via conventional GDP [16]. SD is a computer-aided approach for representing a complex system and analyzing its dynamic behavior based on evolving cause-effect interrelations and information feedback [23]. Though project evaluations employ cost-benefit analysis and mathematical models, such methods lack a dynamic view when used by themselves as they do not consider multiple feedbacks and interrelations among system components. Hence, SD is more suitable to assess impacts, considering the interdisciplinary dynamics of the system [24]. Combined SD-IWI modeling could help assess the sustainability of the project, given multiple feedback and interrelations among different system components [25]. Several approaches have been employed to assess the sustainability of river restoration projects. Based on their sustainability purposes, they can be categorized into socio-economic, environmental, and socio-economic-environmental approaches. Cost-benefit analysis is the most widespread method to assess the socio-economic sustainability of a project [26; 27; 28]. However, it is static and ignores coupling relations among factors [24]. Economic impact assessment software (e.g., IMPLAN), based on input-output tables, is employed to estimate the direct and indirect impacts of river restoration programs [29; 30]. Nevertheless, this approach does not consider the environmental aspects of a project. [PERSON] et al. (2011) assessed only the environmental sustainability of a river restoration project for water quality development based on survey monitoring [31]. There are many model-based assessments, and among them, the SD model is prevalent in the water resources sector [32]. For instance, [PERSON] et al. (2020) developed an SD model to assess the impacts of Urmia Lake restoration measures in Iran [33]. Similarly, [PERSON] et al. (2013) constructed an SD model to evaluate the economic viability and risk balance of ecological restoration programs in South Africa [34]. However, these studies covered specific strategies without accounting for IW-based sustainability. Therefore, combined SD-IWI modeling is an innovative socio-economic-environmental approach for a comprehensive sustainability assessment [16]. To the best of our knowledge, only three project evaluation studies on sustainability have employed this combined modeling. The first SD-IWI model was constructed for energy policy evaluation [35]. [PERSON] and [PERSON] (2018) developed a hybrid model to analyze the impacts of an energy infrastructure project [16]. [PERSON] and [PERSON] (2020) produced an SD-IWI model to predict the sustainability of the capital city relocation project in Indonesia [25]. However, they did not consider the water quality aspect and did not combine IW and Streeter-Phelps' water quality model based on an SD approach. To the best of our knowledge, no study has considered SD-IWI modeling to assess the sustainability of such projects based on feedback, interrelations, and dynamic view. This study primarily assessed the comprehensive and dynamic impacts of the Turag-Buriganga River Restoration Project on water quality, economy, ecology, and society, considering non-linear, feedback-based interactions among different components of the resource system. The main research questions were as follows: (1) Will the project (in increasing streamflow) maintain a DO value above 4 mg/L over time? (2) What is a sustainable strategy to maintain standard water? (3) Will the current investment be sustainable for ensuring intergenerational well-being? (4) How would the investment be sustainable? In this study, we employed an SD-IWI model to evaluate the sustainability of the river restoration project on the trajectory of wealth and water quality.