Management of vegetative land for more water yield under future climate conditions in the over-utilized water resources regions: A case study in the Xiong’an New Area

2021 ◽  
pp. 126563
Author(s):  
Linyuan Ye ◽  
Lei Cheng ◽  
Pan Liu ◽  
Deli Liu ◽  
Lu Zhang ◽  
...  
2020 ◽  
Author(s):  
Linyuan Ye ◽  
Lei Cheng ◽  
Pan Liu ◽  
Deli Liu

<p>The growing water extraction due to the economic development and population growth has caused over-utilization of water resources worldwide, especially in semiarid regions. In these regions, the sustainable water availability has often been sought and maintained by managing land, but it is highly uncertain in future climate conditions. Besides, prediction of water availability in such region is still challenging due to non-stationary rainfall-runoff relationship caused by intensive human interferences and poor ET simulation by hydrological models. Therefore, accurate estimation and maintaining of sustainable water availability under future climate conditions are important for the ecological conservation and social development of semiarid regions. In this study, impacts of land use and climate changes on vegetation dynamics (canopy LAI) and water cycle (ET and runoff) of the Xiong’an New Area (XNA) are investigated using an ecohydrological model (i.e., WAVES). The XNA, a typical semiarid region located in North China, is expected to need more water in order to increase the vegetation coverage from 10% to 40% by 2035. The WAVES model is chosen because it can simulate ET well by coupling water-carbon-heat. Here, water use (ET) and water yield (runoff) of three typical ecosystems (i.e., cropland, grassland and forestland) in different future periods (i.e., near-future: 2030s (2021-2040), mid-future: 2050s (2041-2060) and far-future: 2080s (2061-2100)) are assessed using projected future climate forcing from 18 GCMs under three RCPs (i.e., RCP2.6, RCP4.5 and RCP8.5). Projected precipitation (<em>P</em>) and air temperature (<em>T<sub>a</sub></em>) indicate the XNA will become warmer and wetter in the future. The WAVES model is capable to simulate the ecohydrological process well in the XNA with NSE ≥ 0.62, R<sup>2</sup> ≥ 0.65, RMSE ≤ 0.86 in LAI and NSE ≥ 0.61, R<sup>2</sup> ≥ 0.66, RMSE ≤ 0.71 mm·d<sup>-1</sup> in ET. During the baseline period of 1982-2012, modeling results show that the forested land evaporates more water (32 mm a<sup>−</sup><sup>1</sup>) than cropland while grassland use almost same water as cropland. Under future climate conditions, both cropland and the grassland will have more water use and water yield due to increased precipitation and suppressed vegetation growth due to warming. Forested land will use more than 20% water (76 mm a<sup>−</sup><sup>1</sup>) compared with that during the baseline period in the XNA, but it will generate more than 10% (12 mm a<sup>−</sup><sup>1</sup>) water yield in the 2050s and 2080s under RCP4.5 and RCP8.5 due to greater increases in precipitation. For the purpose of land management, it is recommended to plant crop or grass in the near-future and to plant forest in the mid-future and far-future to expand vegetation coverage in the XNA. This study highlights that both climate change and land management are of critical importance for sustaining water yield in semiarid regions with over-utilized water resources.</p>


2019 ◽  
Vol 129 (1) ◽  
Author(s):  
Tirupathi Chanapathi ◽  
Shashidhar Thatikonda ◽  
Venkata Reddy Keesara ◽  
Naga Sowjanya Ponguru

2013 ◽  
Vol 20 (1) ◽  
pp. 160-168 ◽  
Author(s):  
D. Molitor ◽  
A. Caffarra ◽  
P. Sinigoj ◽  
I. Pertot ◽  
L. Hoffmann ◽  
...  

Author(s):  
Youssef Brouziyne ◽  
Lahcen Benaabidate ◽  
Aziz Abouabdillah ◽  
Rachid Bouabid ◽  
Abdelghani Chehbouni

Abstract. Precipitation changes and water use patterns are two factors affecting the water quantity; obviously, hydrologic processes are always linked to many elements in the watershed scale, so to understand water management issues it is fundamental to analyze the different elements of hydrologic processes occurring in the watershed. In this study, the “SWAT” model (Soil and Water Assessment Tool) has been used to simulate the water balance for the present climate conditions on a semi arid watershed located in the central North of Morocco (R'dom). The study watershed covers an area of 1993 km2, and is hosting farming, pasture and forestry related activities. The water stress situation in the R'dom watershed can be summarized as limited resource facing increasing water demand. SWAT model was first run and calibrated under current climate; and was driven with downscaled climate simulations to generate future hydrological projections for R'dom watershed in the 2031 to 2050 horizon under two Representative Concentration Pathways (RCPs): 4.5 and 8.5. The results of the study showed that the water balance in R'dom watershed is dominated by evapotranspiration and the water resources distribution within the watershed is uneven and follows a decreasing gradient matching the flow direction. The main results of climate change scenarios showed that R'dom watershed will undergo significant decrease of water resources availability with more economic impact under the scenario RCP8.5 as all areas hosting the economical activities will be affected and the highest changes of water yield should be under this scenario.


2020 ◽  
Vol 2020 ◽  
pp. 1-11 ◽  
Author(s):  
Antonio-Juan Collados-Lara ◽  
David Pulido-Velazquez ◽  
Eulogio Pardo-Igúzquiza

Global warming associated with greenhouse emissions will modify the availability of water resources in the future. Methodologies and tools to assess the impacts of climate change are useful for policy making. In this work, a new tool to generate potential future climate scenarios in a water resources system from historical and regional climate models’ information has been developed. The GROUNDS tool allows generation of the future series of precipitation, temperature (minimum, mean, and maximum), and potential evapotranspiration. It is a valuable tool for assessing the impacts of climate change in hydrological applications since these variables play a significant role in the water cycle, and it can be applicable to any case study. The tool uses different approaches and statistical correction techniques to generate individual local projections and ensembles of them. The non-equifeasible ensembles are created by combining the individual projections whose control or corrected control simulation has a better fit to the historical series in terms of basic and droughts statistics. In this work, the tool is presented, and the methodology implemented is described. It is also applied to a case study to illustrate how the tool works. The tool was previously tested in different typologies of water resources systems that cover different spatial scales (river basin, aquifer, mountain range, and country), obtaining satisfactory results. The local future scenarios can be propagated through appropriate hydrological models to study the impacts on other variables (e.g., aquifer recharge, chloride concentration in coastal aquifers, streamflow, snow cover area, and snow depth). The tool is also useful in quantifying the uncertainties of the future scenarios by combining them with stochastic weather generators.


Water ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 859 ◽  
Author(s):  
Kristian Näschen ◽  
Bernd Diekkrüger ◽  
Constanze Leemhuis ◽  
Larisa Seregina ◽  
Roderick van der Linden

This article illustrates the impact of potential future climate scenarios on water quantity in time and space for an East African floodplain catchment surrounded by mountainous areas. In East Africa, agricultural intensification is shifting from upland cultivation into the wetlands due to year-round water availability and fertile soils. These advantageous agricultural conditions might be hampered through climate change impacts. Additionally, water-related risks, like droughts and flooding events, are likely to increase. Hence, this study investigates future climate patterns and their impact on water resources in one production cluster in Tanzania. To account for these changes, a regional climate model ensemble of the Coordinated Regional Downscaling Experiment (CORDEX) Africa project was analyzed to investigate changes in climatic patterns until 2060, according to the RCP4.5 (representative concentration pathways) and RCP8.5 scenarios. The semi-distributed Soil and Water Assessment Tool (SWAT) was utilized to analyze the impacts on water resources according to all scenarios. Modeling results indicate increasing temperatures, especially in the hot dry season, intensifying the distinctive features of the dry and rainy season. This consequently aggravates hydrological extremes, such as more-pronounced flooding and decreasing low flows. Overall, annual averages of water yield and surface runoff increase up to 61.6% and 67.8%, respectively, within the bias-corrected scenario simulations, compared to the historical simulations. However, changes in precipitation among the analyzed scenarios vary between −8.3% and +22.5% of the annual averages. Hydrological modeling results also show heterogeneous spatial patterns inside the catchment. These spatio-temporal patterns indicate the possibility of an aggravation for severe floods in wet seasons, as well as an increasing drought risk in dry seasons across the scenario simulations. Apart from that, the discharge peak, which is crucial for the flood recession agriculture in the floodplain, is likely to shift from April to May from the 2020s onwards.


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