scholarly journals Mathematical Optimization Method of Low-Impact Development Layout in the Sponge City

2020 ◽  
Vol 2020 ◽  
pp. 1-17 ◽  
Author(s):  
Hong Men ◽  
Hao Lu ◽  
Wenjuan Jiang ◽  
Duo Xu
Keyword(s):  
Low Impact Development ◽  
Mathematical Optimization ◽  
Cost Benefit ◽  
Optimization Method ◽  
Rainfall Runoff ◽  
Sponge City ◽  
Total Runoff ◽  
Rainfall Runoff Model ◽  
The Cost ◽  
Runoff Model

Aiming at the optimization layout of distributed low-impact development (LID) practices in the sponge city, a new mathematical method combining Stormwater Management Model (SWMM) and preference-inspired co-evolutionary algorithm using goal vectors (PICEA-g) was developed and was applied in the Ximen waterlogged area of Pingxiang City. Firstly, a block-scaled rainfall-runoff model was built in the study area by using SWMM. Then, an LIDs area optimization model was established by linking the SWMM and the PICEA-g based on the Matlab platform, which took the area ratios of various LIDs in each block as decision variables and took the total runoff, peak flow, suspended substance (SS) pollutant, and LIDs cost as objective functions. Thus, the problem of LIDs layout was turned into a mathematical optimization issue. So the cost-benefit optimal solutions with different emphases were found by using this algorithm, and the LIDs layout optimal scheme for this area was further analysed and verified by rainfall-runoff model. The results show that the total runoff reduction rates of the system reach a maximum of 21.8%, the peak flow reduction rates of the system are more than 10%, and the SS pollutant reduction rates are reduced by about 30% compared with before LIDs under the design storms of different return periods. The reduction rates of each runoff index are higher than the nondominated sorting genetic algorithm II (NSGA-II) method, and decision-makers can more effectively analyse the cost-benefit optimal solution from the Pareto solution sets. Therefore, the LIDs layout optimization method proposed in this paper has obvious advantages in solving similar many-objective optimization problems (MOOPs) in sponge city construction.

scholarly journals Rainfall runoff features of permeable sidewalk pavement

2020 ◽  
Author(s):  
Liyuan Qiu ◽  
Yu Zhang ◽  
Sheng Zhang ◽  
Jingwei Zhao ◽  
Tengfei Wang ◽  
...  
Keyword(s):  
Urban Areas ◽  
Peak Flow ◽  
Precipitation Pattern ◽  
Rainfall Runoff ◽  
Sponge City ◽  
Permeable Pavement ◽  
Total Runoff ◽  
Runoff Model ◽  
Flood Flow ◽  
Catchment Runoff

Abstract In urban areas, the buildings and pavements make it hard for rainwater to infiltrate into the ground. The hardened underlaying sub-crust has increased the total rainfall runoff, pushing up the peak flood flow. Drawing on the construction concept of sponge city, this paper probes deep into the materials in each layer of permeable pavement for sidewalks. Specifically, a runoff model was constructed for sidewalk pavements under rainfall conditions through numerical simulation and model testing. Using the precipitation pattern of Qingdao, China, several combinations of materials were subject to rainfall simulations, revealing how each permeable pavement controls and affects the surface runoff. The results show that the permeability of surface course and sub-crust directly bear on the starting time, peak flow, total runoff and runoff time of sub-catchment runoff; and the latter has a greater impact than the former on sub-catchment runoff.

scholarly journals Parameter recalculation for a rainfall-runoff model with a focus on runoff curve numbers

GeoScape ◽  
2019 ◽  
Vol 13 (2) ◽  
pp. 132-140
Author(s):  
Tomáš Řehánek ◽  
Michal Podhorányi ◽  
Jan Křenek
Keyword(s):  
Soil Conditions ◽  
Rainfall Runoff ◽  
Total Runoff ◽  
Territorial Unit ◽  
The Us ◽  
Odra River ◽  
Rainfall Runoff Model ◽  
Relationship Of ◽  
Risk Processes ◽  
Runoff Model

Abstract One of the fundamental issues of hydrology is determination of total runoff volume from rainfall. The mutual relationship of these quantities can be experimentally determined by measuring rainfall and runoff. Rainfall-runoff models describe natural relations on the basis of variables determining physio-geographical conditions of a territorial unit as well as hydraulic properties of the respective river network. In the proposed paper, we focused on parameter recalculation of a rainfall-runoff model with focusing on runoff curve numbers (CN). The objective of this study was to update the data (CN) in the old modelling structures within the FLOREON+ (FLOods REcognition on the Net – Study Area) system and replace them with the new ones. The parameters of runoff CN were estimated according to available GIS layers primarily related to the existing soil conditions and land use. In the first phase, the calculation procedure was prepared for the smaller Porubka and Lubina basins, and then it was applied to the whole basin area. The results showed that the new runoff CN recalculation procedure resulted in reduction of the simulated runoff (peak discharge, volume) in the Odra River sub-basins, which also led to approximation to the real measured runoff in the Ostrava-Svinov profile. The derived method is applicable to other basins as well. Highlights for public administration, management and planning: • Runoff volumes resulting from rainfall significantly contribute to risk processes, such as soil erosion and floods. • The partially automated procedure for rainfall-runoff estimation is preseted, based on data for soil conditions and land cover. • Derivation is based on the original principles determined by the US Soil Conservation Service and can be applied to any river basin in the area of the Czech Republic. • In the future, the proposed methodology will be adapted to run within the ArcMap application.

scholarly journals Effects of streamflow isotope sampling strategies on the calibration of a tracer‐aided rainfall‐runoff model

2021 ◽  
Author(s):  
Jamie Lee Stevenson ◽  
Christian Birkel ◽  
Aaron J. Neill ◽  
Doerthe Tetzlaff ◽  
Chris Soulsby
Keyword(s):  
Sampling Strategies ◽  
Rainfall Runoff ◽  
Rainfall Runoff Model ◽  
Runoff Model

scholarly journals Performance Evaluation of a Two-Parameters Monthly Rainfall-Runoff Model in the Southern Basin of Thailand

Water ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 1226
Author(s):  
Pakorn Ditthakit ◽  
Sirimon Pinthong ◽  
Nureehan Salaeh ◽  
Fadilah Binnui ◽  
Laksanara Khwanchum ◽  
...  
Keyword(s):  
Exchange Rate ◽  
Rainfall Runoff ◽  
Management Planning ◽  
Runoff Variation ◽  
Groundwater Exchange ◽  
Monthly Runoff ◽  
Rainfall Runoff Model ◽  
Two Parameters ◽  
Runoff Model

Accurate monthly runoff estimation is crucial in water resources management, planning, and development, preventing and reducing water-related problems, such as flooding and droughts. This article evaluates the monthly hydrological rainfall-runoff model’s performance, the GR2M model, in Thailand’s southern basins. The GR2M model requires only two parameters: production store (X1) and groundwater exchange rate (X2). Moreover, no prior research has been reported on its application in this region. The 37 runoff stations, which are located in three sub-watersheds of Thailand’s southern region, namely; Thale Sap Songkhla, Peninsular-East Coast, and Peninsular-West Coast, were selected as study cases. The available monthly hydrological data of runoff, rainfall, air temperature from the Royal Irrigation Department (RID) and the Thai Meteorological Department (TMD) were collected and analyzed. The Thornthwaite method was utilized for the determination of evapotranspiration. The model’s performance was conducted using three statistical indices: Nash–Sutcliffe Efficiency (NSE), Correlation Coefficient (r), and Overall Index (OI). The model’s calibration results for 37 runoff stations gave the average NSE, r, and OI of 0.657, 0.825, and 0.757, respectively. Moreover, the NSE, r, and OI values for the model’s verification were 0.472, 0.750, and 0.639, respectively. Hence, the GR2M model was qualified and reliable to apply for determining monthly runoff variation in this region. The spatial distribution of production store (X1) and groundwater exchange rate (X2) values was conducted using the IDW method. It was susceptible to the X1, and X2 values of approximately more than 0.90, gave the higher model’s performance.

Effects of conditional parameterization on performance of rainfall-runoff model regarding hydrologic non-stationarity

2012 ◽  
Vol 26 (26) ◽  
pp. 3953-3961 ◽  
Author(s):  
Jiangmei Luo ◽  
Enli Wang ◽  
Shuanghe Shen ◽  
Hongxing Zheng ◽  
Yongqiang Zhang
Keyword(s):  
Rainfall Runoff ◽  
Rainfall Runoff Model ◽  
Runoff Model

Improvement of Nonlinear Rainfall-Runoff Model

1982 ◽  
Vol 108 (7) ◽  
pp. 813-822
Author(s):  
Otto J. Helweg ◽  
Jaime Amorocho ◽  
Ralph H. Finch
Keyword(s):  
Rainfall Runoff ◽  
Rainfall Runoff Model ◽  
Runoff Model
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