Abstract:Changes in land use and climate have a large influence on groundwater recharge and levels. In The Netherlands, precipitation shifts from summer to winter are expected, combined with an increase in summer temperature leading to higher evaporation. These changes in climate could threaten the fresh water supply and increase the importance of large groundwater reservoirs. Sustainable management of these groundwater reservoirs, therefore, is crucial. Changes in land use could help mitigate the effects of climate ch… Show more
“…Globally, interception is estimated to be 19% of the gross precipitation for broadleaved and 22% for coniferous forests (Miralles et al, 2010). The intercepted part of the precipitation is not available for soil moisture and groundwater replenishment or run-off, which can lead to a decreased water resource availability and to a possible scarcity of water for, for example, drinking, agricultural or industrial purposes (e.g., van Huijgevoort et al, 2020). Water scarcity is of increasing relevance in the course of current and predicted climate change, where meteorological patterns are changing to wetter winters and drier and hotter summers in many temperate and boreal regions (IPCC, 2014).…”
Rainfall interception by vegetation plays an important role in the hydrological cycle.Next to rainfall characteristics, interception is influenced by tree size, crown structure and bark morphology. How tree traits determine interception across functionally and morphologically wide-ranging tree species is poorly understood. We determined interception ratios (interception:gross precipitation) and canopy storage capacities of seven temperate deciduous broadleaved (Acer pseudoplatanus L., Betula pendula Roth, Carpinus betulus L., Fagus sylvatica L., Populus tremula L., Sorbus aucuparia L.) and three evergreen coniferous tree species (Picea abies (L.) Karsten, Pinus sylvestris L., Pseudotsuga menziesii (Mirb.) Franco) as well as the influence of various tree traits on interception parameters. Interception was measured directly with natural rainfall by means of gravimetry on potted trees, 2-8 m tall, for seven consecutive months. Our results show that (a) the coniferous species had larger canopy storage capacities and larger interception ratios than the broadleaved species both during (summer) and outside the growing season (winter); (b) the absolute tree interception (in kg) of the broadleaved species was positively related to stem diameter at breast height, tree and crown height, maximum branch length, the total branch surface area and above ground dry weight; and (c) interception per unit crown projected area (in mm) of all species was positively related to branch length and branch surface area per unit crown projected area. These results can be used to estimate interception parameters from plant traits and to simulate interception losses of trees in a more reliable manner.
“…Globally, interception is estimated to be 19% of the gross precipitation for broadleaved and 22% for coniferous forests (Miralles et al, 2010). The intercepted part of the precipitation is not available for soil moisture and groundwater replenishment or run-off, which can lead to a decreased water resource availability and to a possible scarcity of water for, for example, drinking, agricultural or industrial purposes (e.g., van Huijgevoort et al, 2020). Water scarcity is of increasing relevance in the course of current and predicted climate change, where meteorological patterns are changing to wetter winters and drier and hotter summers in many temperate and boreal regions (IPCC, 2014).…”
Rainfall interception by vegetation plays an important role in the hydrological cycle.Next to rainfall characteristics, interception is influenced by tree size, crown structure and bark morphology. How tree traits determine interception across functionally and morphologically wide-ranging tree species is poorly understood. We determined interception ratios (interception:gross precipitation) and canopy storage capacities of seven temperate deciduous broadleaved (Acer pseudoplatanus L., Betula pendula Roth, Carpinus betulus L., Fagus sylvatica L., Populus tremula L., Sorbus aucuparia L.) and three evergreen coniferous tree species (Picea abies (L.) Karsten, Pinus sylvestris L., Pseudotsuga menziesii (Mirb.) Franco) as well as the influence of various tree traits on interception parameters. Interception was measured directly with natural rainfall by means of gravimetry on potted trees, 2-8 m tall, for seven consecutive months. Our results show that (a) the coniferous species had larger canopy storage capacities and larger interception ratios than the broadleaved species both during (summer) and outside the growing season (winter); (b) the absolute tree interception (in kg) of the broadleaved species was positively related to stem diameter at breast height, tree and crown height, maximum branch length, the total branch surface area and above ground dry weight; and (c) interception per unit crown projected area (in mm) of all species was positively related to branch length and branch surface area per unit crown projected area. These results can be used to estimate interception parameters from plant traits and to simulate interception losses of trees in a more reliable manner.
“…Previous studies have classified these driving forces into natural and human factors. Natural factors include terrestrial, hydrology, and climate change, while human factors include land-use changes, river regulation, afforestation and deforestation, and groundwater extraction (Fu et al, 2019;Ojeda Olivares et al, 2019;Parizi et al, 2020;Van Huijgevoort et al, 2020;Ebrahimi et al, 2021;Maihemuti et al, 2021;Wu et al, 2021). Researchers have used various statistical regression models for understanding the drivers of changes in GWL analysis (Ainiwaer et al, 2019;Fu et al, 2019;Lin et al, 2020;Li et al, 2020;Mulyadi et al, 2020;Wu et al, 2021).…”
The groundwater of the Choushui River alluvial fan in Central Taiwan has been overexploited for a long time. It is essential to understand the factors governing changes in groundwater level (GWL) for the use of water resources. In this study, we first conducted a Mann–Kendall test to identify significant trends in the regional GWL and obtained its spatial characteristics using the Moran’s I index in the Choushui River alluvial fan. Furthermore, we established a geographically weighted regression (GWR) model to explore the spatial correlation between natural factors and GWL in dry and wet seasons from 1999 to 2019. The long-term trend analysis shows that the GWL of the Choushui River alluvial fan decline significantly. The Moran’s I index shows that the spatial distribution of GWL had a positive correlation in both dry and wet seasons. GWR model indicate that the GWL are affected by drainage density (Dd), slope (S), normalized difference vegetation index (NDVI), and precipitation (P) during the dry season, while Dd, S, NDVI, and wetness index (WI) have an effect on the GWL during the wet season. These results can not only describe the model applicability for exploring the relationship between natural factors and GWL but also be used as references for future regional water resource utilization and management.
“…With extreme events such as drought, floods, and heatwaves, the scientific community has gradually become aware of the importance of the effects of climate change on water resources and its impacts on the water cycle [9]. Climate change will affect the availability of freshwater resources in the future and will impact water supply [10] and the quality of this resource for human consumption [11]. As such, studies are increasingly employing climate modeling to ascertain its influence on natural water resources, the water cycle, and their mid-and long-term regional management [12][13][14].…”
Assuring access to high-quality water for its multiple uses is increasingly difficult and relevant, as climate changes are gradually altering the hydrologic cycle and impacting traditional and well-established techniques of water resource management. This manuscript proposes a methodology to assess the impact of climatic variability in pre-established management rules, using spatially interpolated rain gauged data for two future emission scenarios. With them, water allocation and water quality parameters are simulated for the Piracicaba, Capivari, and Jundiaí watersheds (PCJ watersheds) in São Paulo, Brazil, employing comparisons among scenarios of historical and climate modified hydrological series. Five selected water quality indicators are used to confirm that the introduction of climate variation signals worsens water quality parameters, along with a decrease in the capability to meet water demand. This finding suggests the importance of including climate change impact in similar studies in management plans. The results indicate higher stress levels on the watershed when changes in the hydrological regime are introduced by the future conditions modeled and driven by the regional climate model (RCM). Water availability decreases and water quality deteriorates, indicating that stakeholders must take action to progressively implement stricter control measures to achieve the goals established by the watershed master plan regarding the limits or classification set by the body governing the watershed in question. On average, there was an increase of about four times the amount of river stretches (in kilometres), from 29.6 km to 161.9 km outside the limits of the established framework. The average was taken for all parameters as presented in the discussion.
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