Green infrastructure practices simulation of the impacts of land use on surface runoff: Case study in Ecorse River watershed, Michigan

Li, Fazhi; Liu, Yaoze; Engel, Bernard A.; Chen, Jingqiu; Sun, Hong

doi:10.1016/j.jenvman.2018.12.078

Cited by 40 publications

(20 citation statements)

References 46 publications

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“…L-THIA was successfully applied to evaluate NPS pollution in different places such as United States [ 55 ], South Korea [ 22 ], and China [ 56 ]. Zhang, et al [ 56 ] used L-THIA to evaluate the spatial distribution of NPS pollution in Qingdao (10,654 km 2 ) China, and verified that L-THIA is a reliable model to provide informed decision for land use management and planning.…”

Section: Watershed-scale Nonpoint Source Pollution Model Evaluationmentioning

confidence: 99%

Review of Watershed-Scale Water Quality and Nonpoint Source Pollution Models

2020

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Watershed-scale nonpoint source (NPS) pollution models have become important tools to understand, evaluate, and predict the negative impacts of NPS pollution on water quality. Today, there are many NPS models available for users. However, different types of models possess different form and structure as well as complexity of computation. It is difficult for users to select an appropriate model for a specific application without a clear understanding of the limitations or strengths for each model or tool. This review evaluates 14 more commonly used watershed-scale NPS pollution models to explain how and when the application of these different models are appropriate for a given effort. The models that are assessed have a wide range of capacities that include simple models used as rapid screening tools (e.g., Long-Term Hydrologic Impact Assessment (L-THIA) and Nonpoint Source Pollution and Erosion Comparison Tool (N-SPECT/OpenNSPECT)), medium-complexity models that require detail data input and limited calibration (e.g., Generalized Watershed Loading Function (GWLF), Loading Simulation Program C (LSPC), Source Loading and Management Model (SLAMM), and Watershed Analysis Risk Management Frame (WARMF)), complex models that provide sophisticated simulation for NPS pollution processes with intensive data and rigorous calibration (e.g., Agricultural Nonpoint Source pollution model (AGNPS/AnnAGNPS), Soil and Water Assessment Tool (SWAT), Stormwater Management Model (SWMM), and Hydrologic Simulation Program Fortran (HSPF)), and modeling systems that integrate various sub-models and tools, and contain the highest complexity to solve all phases of hydrologic, hydraulic, and chemical dynamic processes (e.g., Automated Geospatial Watershed Assessment Tool (AGWA), Better Assessment Science Integrating Point and Nonpoint Sources (BASINS) and Watershed Modeling System (WMS)). This assessment includes model intended use, components or capabilities, suitable land-use type, input parameter type, spatial and temporal scale, simulated pollutants, strengths and limitations, and software availability. Understanding the strengths and weaknesses of each watershed-scale NPS model will lead to better model selection for suitability and help to avoid misinterpretation or misapplication in practice. The article further explains the crucial criteria for model selection, including spatial and temporal considerations, calibration and validation, uncertainty analysis, and future research direction of NPS pollution models. The goal of this work is to provide accurate and concise insight for watershed managers and planners to select the best-suited model to reduce the harm of NPS pollution to watershed ecosystems.

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Section: Watershed-scale Nonpoint Source Pollution Model Evaluationmentioning

confidence: 99%

Review of Watershed-Scale Water Quality and Nonpoint Source Pollution Models

2020

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“…Numerous studies assessing the effect of land use change, climate change, and urbanization expansion on surface runoff have been carried out worldwide with computer models such as Soil and Water Assessment Tool (SWAT), MIKE System Hydrological European (MIKE-SHE), Hydrological Land Use Change (HYLUC), Long-Term Hydrology Impact Assessment (L-THIA), and Storm Water Management Model (SWMM)) [17,[21][22][23][24][25][26][27][28][29][30][31]. Among these, the L-THIA model [32] is easy to use and is a Soil Conservation Service-Curve Number (SCS-CN)-based [33] model; it relies on readily available data and performs well in the simulation of hydrology both on macroscopic and microscopic scales [34][35][36][37][38][39]. For example, Bhaduri et al [35] assessed the impact of land use change and climate change on surface runoff volume with the L-THIA model in a small watershed located in Indiana, U.S., and concluded that an 18% increase in urban or impervious areas could lead to an estimated 80% increase in annual average runoff volume between 1973 and 1991.…”

Section: Introductionmentioning

confidence: 99%

“…Chen et al [38] simulated the average annual surface runoff depths of the Great Lakes Region, USA, from 2001 to 2011, and identified the areas that had high increased annual runoff depths. Li et al [39] used the L-THIA-LID model to evaluate the implementation impacts of green infrastructure on surface runoff in a small watershed in Michigan, U.S., and concluded that surface runoff volume could be reduced by 68% at most through implementing green infrastructure.…”

Section: Introductionmentioning

confidence: 99%

Assessment of the Impacts of Land Use/Cover Change and Rainfall Change on Surface Runoff in China

Chen

Liu

et al. 2019

Sustainability

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Assessment of the impacts of land use/cover change (LUCC) and rainfall change on surface runoff depth can help provide an understanding of the temporal trend of variation of surface runoff and assist in urban construction planning. This study evaluated the impacts of LUCC and rainfall change on surface runoff depth by adopting the well-known Soil Conservation Service-Curve Number (SCS-CN) method and the widely used Long-Term Hydrologic Impact Assessment (L-THIA) model. National hydrologic soil group map of China was generated based on a conversion from soil texture classification system. The CN values were adjusted based on the land use/cover types and soil properties in China. The L-THIA model was configured by using the adjusted CN values and then applied nationally in China. Results show that nationwide rainfall changes and LUCC from 2005 to 2010 had little impact on the distribution of surface runoff, and the high values of runoff depth were mainly located in the middle and lower reaches of the Yangtze River. Nationally, the average annual runoff depths in 2005, 2010 and 2015 were 78 mm, 83 mm and 90 mm, respectively. For the 2015 land use data, rainfall change caused the variation of surface runoff depth ranging from −203 mm to 476 mm in different regions. LUCC from 2005 to 2015 did not cause obvious change of surface runoff depth, but expansion of developed land led to runoff depth increases ranging from 0 mm to 570 mm and 0 mm to 742 mm from 2005 to 2010 and 2010 to 2015, respectively. Potential solutions to urban land use change and surface runoff control were also analyzed.

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“…The other part focused on the research of LID technology or method. Green infrastructure measures, porous pavements and bioretention ponds are the most commonly studied LID technologies (Li, Liu, et al, 2019;Zubelzu et al, 2019). The scientific research of the SC is progressing rapidly, so it is necessary to summarize and review the previous research to determine the future direction of development.…”

mentioning

confidence: 99%

“…The change in the research concept of SC and the comparative analysis with other countries' urban water resources management methods are also the research contents of most researchers (Cun et al, 2019;Lashford et al, 2019;Zhai et al, 2020). Bibliometric methods, life cycle methods and other research methods are widely used in the review of SC (Li, Liu, et al, 2019;Wang et al, 2019;Xu, Hong, et al, 2017).…”

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confidence: 99%

A bibliometric analysis of the research on Sponge City: Current situation and future development direction

et al. 2021

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With the rapid development of urbanization, more and more cities are facing the risk of flood disasters and the threat of water environment safety during the rainy season. Sponge City, as a new urban water resources management method, has attracted extensive attention in the academic circle. In order to promote the development of Sponge City, a bibliometric analysis method based on Web of Science (WoS) database and Bibliometrix tool is proposed in this study. After refining the retrieved 26,383 papers, 1456 papers were obtained. All the article information including author, keywords and publication time was downloaded. The bibliometric analysis model was established to analyse and discuss the development of Sponge City and related researches during the period 1998-020 (data up to 15 August 2020). Research performance, research focus and development trend were displayed by bibliometric measurement indicators and visual graphics. The results show that the number of research papers on Sponge City has been increased year by year in the past 10 years (2010-2020). Sponge City and related research are increasing rapidly, and the top five countries in terms of research volume are China, the United States, the United Kingdom, South Korea and Canada. China, the United States, the United Kingdom and Australia are the countries with the most extensive international cooperation in the field of Sponge City. Keywords such as 'Sponge City', 'LID (Low Impact Development)' and 'SWMM (Storm Water Management Model)' appeared frequently. In our opinions, interdisciplinary research methods, digital information management technology and comprehensive performance evaluation are the hot research directions for Sponge City in the future. This study aims to provide directions for future research on Sponge City, as well as scientific guidance and reference for government decision makers on Sponge City.

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Green infrastructure practices simulation of the impacts of land use on surface runoff: Case study in Ecorse River watershed, Michigan

Cited by 40 publications

References 46 publications

Review of Watershed-Scale Water Quality and Nonpoint Source Pollution Models

Review of Watershed-Scale Water Quality and Nonpoint Source Pollution Models

Assessment of the Impacts of Land Use/Cover Change and Rainfall Change on Surface Runoff in China

A bibliometric analysis of the research on Sponge City: Current situation and future development direction

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