Influence assessment of new Inner Tube Porous Brick with absorbent concrete on urban floods control

Luo, Pingping; Li, Liming; Wang, Siting; Ren, Baiming; He, Bin; Nover, Daniel

doi:10.1016/j.cscm.2022.e01236

Cited by 20 publications

(15 citation statements)

References 56 publications

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“…The main reason was that the Sichuan and Chongqing regions experienced a severe 100-year drought in the summer of 2006, the precipitation decreased, and the total amount of water resources was insufficient, resulting in insufficient soil water content and inactive vegetation growth after evaporation and infiltration of surface water on the ground. The NDVI value in the growing season of that year was significantly low [42,43]. From 2007 to 2008, the vegetation condition gradually recovered, and the annual average NDVI values showed an upwards trend.…”

Section: Pls-sem For Ndvi Changesmentioning

confidence: 93%

Using PLE-SEM to Quantify the Impacts of Natural and Human Factors on Vegetation Change: A Case Study of the Jialing River Basin

Guo,

Wang,

et al. 2023

Sustainability

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Vegetation cover is an important indicator reflecting changes in terrestrial ecosystems and plays an important role in regulating and maintaining ecosystem stability. To investigate the spatial and temporal variations in the NDVI (normalized difference vegetation index) and their intrinsic driving influences, this paper uses trend analysis and a barycentric model to study the temporal and spatial variation characteristics of vegetation in the Jialing River Basin from 2000 to 2020, constructs PLS-SEMs (partial least squares structural equation models), analyzes the indirect and direct effects of latent and observable variables of surface, human activities, and climate on vegetation growth, and explores the driving processes of different levels of NDVI. The vegetation center gradually migrates northwards. The impact of surface factors on the NDVI is mainly direct and positive. The impact of human activities on the NDVI is mainly direct and negative. The impact of climate factors on the NDVI is mainly positive. The driving mechanisms of low and medium NDVI are relatively similar but tend to be opposite to those of high NDVI. Medium and high NDVI values are more influenced by observable variables. The research on vegetation change and its driving factors, through indirect and direct paths, illustrates the driving processes of different latent and observable variables of the NDVI in more detail and provides a theoretical basis for the implementation of ecological restoration projects and construction of ecological civilizations in the future.

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Section: Pls-sem For Ndvi Changesmentioning

confidence: 93%

Using PLE-SEM to Quantify the Impacts of Natural and Human Factors on Vegetation Change: A Case Study of the Jialing River Basin

Guo,

Wang,

et al. 2023

Sustainability

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“…In future studies, we can use additional hydrological models, including the Lumped Zhang model [36] and the soil and water assessment tool (SWAT) model [74] for comparative studies. Meanwhile, we will use meteorological data with finer spatial resolution and greater accuracy to model water yield [75][76][77][78] and more detailed socio-economic data and landscape characteristics to gain a much broad knowledge of the drivers of WYs in different climatic zones. In addition, multiple validation of linear and non-linear relationships of WYs influences (such as considering both geographic probes and automatic linear modelling (ALM) [13]) to explore synergistic and trade-off effects of natural-social factors would be an important research direction.…”

Section: Limitations and Future Work Directionsmentioning

confidence: 99%

Spatially Non-Stationary Relationships between Changing Environment and Water Yield Services in Watersheds of China’s Climate Transition Zones

et al. 2022

Self Cite

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Identifying the spatial and temporal heterogeneity of water-related ecosystem services and the mechanisms influencing them is essential for optimizing ecosystem governance and maintaining watershed sustainable development. However, the complex and undiscovered interplay between human activities and natural factors underpins the solutions to the water scarcity and flooding challenges faced by climate transition zone basins. This study used a multiple spatial-scale analysis to: (i) quantify the spatial and temporal variations of the water yield ecosystem service (WYs) of the Wei River Basin (WRB) from 2000 to 2020 using the InVEST model and remote sensing data; and (ii) look at how human activities, climate, topography, and vegetation affect the WYs at the climate transition zone sub-catchment scale using the geographical detector model and multi-scale geographically weighted regression (MGWR). The conclusive research reveals that there would be a gradual increase in WYs between the years 2000 and 2020, as well as a distinct and very different spatial aggregation along the climatic divide. The average yearly precipitation was shown to be particularly linked to the water yield of the WRB. The interplay of human, climatic, plant, and terrain variables has a substantially higher influence than most single factors on the geographical differentiation of WYs. Bivariate enhancement and non-linear enhancement are the most common types of factor interactions. This shows that there are significant interactions between natural and human variables. Our study shows that precipitation and temperature are the main factors that cause WYs in the semi-arid zone. In the semi-humid zone, precipitation and vegetation are the key controlling factors that cause WYs. We provide new perspectives for understanding and optimizing ecosystem management by comparing the drivers of WYS in sub-basins with different climatic conditions. Based on the findings, we recommend that particular attention should be paid to ecosystem restoration practices in watersheds in climatic transition zones.

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“…The one-dimension or two-dimension hydrodynamical models can simulate flood depth, duration and associated hazards in urban areas as well as the benefits of green infrastructure [38]. SWMM, a typical one-dimensional urban hydrological model, can efficiently simulate the runoff generation and pipe flow processes, demonstrating good performance in urban areas [39,40]. The MIKE-Urban can model one-dimensional water movement in the pipeline network, while the MIKE-Flood is able to simulate the surface water distribution by solving a two-dimensional shallow water equation [41,42].…”

Section: Introductionmentioning

confidence: 99%

Impact of Urbanization on Regional Rainfall-Runoff Processes: Case Study in Jinan City, China

Zhao

Xia

et al. 2023

Remote Sensing

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Rapid urbanization has altered the regional hydrological processes, posing a great challenge to the sustainable development of cities. The TVGM-USWM model, a new urban hydrological model considering the nonlinear rainfall-runoff relationship and the flow routing in an urban drainage system, was developed in this study. We employed this model in the Huangtaiqiao drainage basin of Jinan City, China, and examined the impact of land cover changes due to urbanization on rainfall-runoff processes. Two urbanization scenarios were set up in the TVGM-USWM model during the design rainfall events with different return periods. Results showed that (1) the TVGM-USWM model demonstrated good applicability in the study area, and the RNS values of the flood events are all greater than 0.75 in both calibration and validation periods; (2) the proportion of impervious areas increased from 44.65% in 1990 to 71.00% in 2020, and urbanization played a leading role in the process of land cover change and manifested itself as a circular extensional expansion; and (3) urbanization showed a significant amplifying effect on the design flood processes, particularly for relatively big floods with small frequency, and the impact of urbanization on the time-to-peak of the design flood gradually decreased as the frequency of the design rainfall decreased. The results of this study can provide technical support for flood mitigation and the construction of a sponge city in Jinan City.

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Influence assessment of new Inner Tube Porous Brick with absorbent concrete on urban floods control

Cited by 20 publications

References 56 publications

Using PLE-SEM to Quantify the Impacts of Natural and Human Factors on Vegetation Change: A Case Study of the Jialing River Basin

Using PLE-SEM to Quantify the Impacts of Natural and Human Factors on Vegetation Change: A Case Study of the Jialing River Basin

Spatially Non-Stationary Relationships between Changing Environment and Water Yield Services in Watersheds of China’s Climate Transition Zones

Impact of Urbanization on Regional Rainfall-Runoff Processes: Case Study in Jinan City, China

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