Redirigiendo al acceso original de articulo en 20 segundos...
Inicio  /  Water  /  Vol: 16 Par: 5 (2024)  /  Artículo
ARTÍCULO
TITULO

Evaluating the Effectiveness of Rainwater Storage Tanks Based on Different Enabling Rules

Yongwei Gong    
Ge Meng    
Kun Tian and Zhuolun Li    

Resumen

A proposed method for analyzing the effectiveness of rainwater storage tanks (RWSTs) based on various enabling rule scenarios has been proposed to address the issue of incomplete strategies and measures for controlling excessive rainwater runoff. Three enabling rules for RWSTs have been proposed, as follows: enabling rule I, which involves activation upon rainfall; enabling rule II, which requires the rainfall intensity to reach a predetermined threshold; and enabling rule III, which necessitates the cumulative rainfall to reach a set threshold. In order to assess the effectiveness of these enabling rules when reducing the total volume of rainwater outflow (TVRO), peak flow rate (PFR), and peak flow velocity (PFV), a comparative analysis was conducted to determine which enabling rule yielded the most optimal control effect. The findings indicate that the enabling rule I is responsible for determining the optimal unit catchment?s rainfall capture volume (UCRCV), which is measured at 300 m3·ha-1. Additionally, the control effect of the TVRO of the RWSTs remains largely unaffected by the peak proportion coefficient. Enabling rule II establishes the optimal activation threshold at a rainfall intensity of 1 mm·min-1; under this enabling rule, RWSTs demonstrate the most effective control over PFR and PFV. Enabling rule III enables the determination of the optimal activation threshold, which is set at a cumulative rainfall of 20 mm; under this enabling rule, the implementation of the RWST technique yields the most effective control over the TVRO. Consequently, the optimal rainwater runoff reduction plan for the study area has been successfully determined, providing valuable guidance for the implementation of scientific and reasonable optimal runoff management.

 Artículos similares

       
 
Ru Wang, Qingyu Zheng, Wei Li, Guijun Han, Xuan Wang and Song Hu    
The uncertainty in the initial condition seriously affects the forecasting skill of numerical models. Targeted observations play an important role in reducing uncertainty in numerical prediction. The conditional nonlinear optimal perturbation (CNOP) meth... ver más

 
Fansheng Zhang, Lianglin Dong, Hongbo Wang, Ke Zhong, Peiyuan Zhang and Jinyan Jiang    
During the construction of underground engineering, the prediction of groundwater distribution and rock body permeability is essential for evaluating the safety of the project and guiding subsequent design and construction. This article proposes an objec... ver más
Revista: Buildings

 
Nosa Aikodon, Sandra Ortega-Martorell and Ivan Olier    
Patients in Intensive Care Units (ICU) face the threat of decompensation, a rapid decline in health associated with a high risk of death. This study focuses on creating and evaluating machine learning (ML) models to predict decompensation risk in ICU pat... ver más
Revista: Algorithms

 
Lina Yu, Dongxin Duan, Kwi-sik Min and Tao Wang    
This study presents a groundbreaking approach to evaluating the resilience of China?s blue economy, shedding light on its critical role in promoting sustainable development along the nation?s coastlines. By employing advanced methodologies such as social... ver más
Revista: Water

 
Kamal Rsetam, Yusai Zheng, Zhenwei Cao and Zhihong Man    
In this paper, an adaptive active disturbance rejection control is newly designed for precise angular steering position tracking of the uncertain and nonlinear SBW system with time delay communications. The proposed adaptive active disturbance rejection ... ver más