scholarly journals Hydrologic modeling to measure the impact of climate change in the Yaqui River basin

2021 ◽  
Vol 13 (1) ◽  
pp. 77-94
Author(s):  
Alejandro Cruz-González ◽  
◽  
Ignacio Sánchez-Cohen ◽  
Maritza Argelia Macías-Corral ◽  
Miguel Agustín Velásquez-Valle ◽  
...  

Objective: To model and analyze the behavior of surface runoff in the Yaqui river basin under climate change scenarios. Methodology: Representative concentration pathways (RCP) of three sub-basins (La Angostura, El Novillo and El Oviachic) were shown using hydrologic modeling with SWAT, where the simulated variable was surface runoff. Results: A change in water availability of -67 % is expected in La Angostura for the period 2021-2040 (RCP2.6) and an increase of 60 % from 2041-2060 (RCP8.5), in El Novillo a decrease of 65 % is predicted for the period 2061-2080 (RCP4. 5) and a 42 % increase from 2061-2080 (RCP2.6), and in El Oviachic a 63 % decrease is predicted for the period 2041-2060 (RCP2.6 and 4.5) and a 47 % increase from 2041-2060 (RCP4.5). Limitations: Veracity and impact of basins studies depend on quality hydro-climatic information of unrestricted availability. Originality: The impact of climate change on the availability of water for agricultural use in the Yaqui River basin was projected. In addition, there is a technological platform for planning processes. Conclusions: The data collected can be used to generate adaptation and mitigation strategies for efficient water use in the basin and to propose long-term sustainable management alternatives.

2018 ◽  
pp. 70-79 ◽  
Author(s):  
Le Viet Thang ◽  
Dao Nguyen Khoi ◽  
Ho Long Phi

In this study, we investigated the impact of climate change on streamflow and water quality (TSS, T-N, and T-P loads) in the upper Dong Nai River Basin using the Soil and Water Assessment Tool (SWAT) hydrological model. The calibration and validation results indicated that the SWAT model is a reasonable tool for simulating streamflow and water quality for this basin. Based on the well-calibrated SWAT model, the responses of streamflow, sediment load, and nutrient load to climate change were simulated. Climate change scenarios (RCP 4.5 and RCP 8.5) were developed from five GCM simulations (CanESM2, CNRM-CM5, HadGEM2-AO, IPSL-CM5A-LR, and MPI-ESM-MR) using the delta change method. The results indicated that climate in the study area would become warmer and wetter in the future. Climate change leads to increases in streamflow, sediment load, T-N load, and T-P load. Besides that, the impacts of climate change would exacerbate serious problems related to water shortage in the dry season and soil erosion and degradation in the wet season. In addition, it is indicated that changes in sediment yield and nutrient load due to climate change are larger than the corresponding changes in streamflow.


Agronomy ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 619
Author(s):  
Sadeeka Layomi Jayasinghe ◽  
Lalit Kumar

Even though climate change is having an increasing impact on tea plants, systematic reviews on the impact of climate change on the tea system are scarce. This review was undertaken to assess and synthesize the knowledge around the impacts of current and future climate on yield, quality, and climate suitability for tea; the historical roots and the most influential papers on the aforementioned topics; and the key adaptation and mitigation strategies that are practiced in tea fields. Our findings show that a large number of studies have focused on the impact of climate change on tea quality, followed by tea yield, while a smaller number of studies have concentrated on climate suitability. Three pronounced reference peaks found in Reference Publication Year Spectroscopy (RYPS) represent the most significant papers associated with the yield, quality, and climate suitability for tea. Tea yield increases with elevated CO2 levels, but this increment could be substantially affected by an increasing temperature. Other climatic factors are uneven rainfall, extreme weather events, and climate-driven abiotic stressors. An altered climate presents both advantages and disadvantages for tea quality due to the uncertainty of the concentrations of biochemicals in tea leaves. Climate change creates losses, gains, and shifts of climate suitability for tea habitats. Further studies are required in order to fill the knowledge gaps identified through the present review, such as an investigation of the interaction between the tea plant and multiple environmental factors that mimic real-world conditions and then studies on its impact on the tea system, as well as the design of ensemble modeling approaches to predict climate suitability for tea. Finally, we outline multifaceted and evidence-based adaptive and mitigation strategies that can be implemented in tea fields to alleviate the undesirable impacts of climate change.


2013 ◽  
Vol 28 (4) ◽  
pp. 2018-2032 ◽  
Author(s):  
S. Ashraf Vaghefi ◽  
S. J. Mousavi ◽  
K. C. Abbaspour ◽  
R. Srinivasan ◽  
H. Yang

2021 ◽  
Author(s):  
Li Wang ◽  
Fan Zhang ◽  
Guanxing Wang

<p>The impact of climate change on soil erosion is pronounced in high mountain area. In this study, the revised universal soil loss equation (RUSLE) model was improved for better calculation of soil erosion during snowmelt period by integrating a distributed hydrological model in upper Heihe river basin (UHRB). The results showed that the annual average soil erosion rate from 1982 to 2015 in the study area was 8.1 t ha<sup>-1 </sup>yr<sup>-1</sup>, belonging to the light grade. To evaluate the influence of climate change on soil erosion, detrended analysis of precipitation, temperature and NDVI was conducted. It was found that in detrended analysis of precipitation and temperature, the soil erosion of UHRB would decrease 26.5% and 3.0%, respectively. While in detrended analysis of NDVI, soil erosion would increase 9.9%. Compared with precipitation, the effect of temperature on total soil erosion was not significant, but the detrended analysis of temperature showed that the effect of temperature on soil erosion during snowmelt period can reach 70%. These finding were helpful for better understanding of the impact of climate change on soil erosion and provide a scientific basis for soil management in high mountain area under climate change in the future.</p>


2001 ◽  
Vol 15 (16) ◽  
pp. 3167-3179 ◽  
Author(s):  
Luc Roy ◽  
Robert Leconte ◽  
Fran�ois P. Brissette ◽  
Claude Marche

Water ◽  
2018 ◽  
Vol 10 (5) ◽  
pp. 571 ◽  
Author(s):  
Yuliang Zhou ◽  
Chengguang Lai ◽  
Zhaoli Wang ◽  
Xiaohong Chen ◽  
Zhaoyang Zeng ◽  
...  

Water ◽  
2019 ◽  
Vol 11 (10) ◽  
pp. 2141 ◽  
Author(s):  
Saddique ◽  
Usman ◽  
Bernhofer

Projected climate changes for the 21st century may cause great uncertainties on the hydrology of a river basin. This study explored the impacts of climate change on the water balance and hydrological regime of the Jhelum River Basin using the Soil and Water Assessment Tool (SWAT). Two downscaling methods (SDSM, Statistical Downscaling Model and LARS-WG, Long Ashton Research Station Weather Generator), three Global Circulation Models (GCMs), and two representative concentration pathways (RCP4.5 and RCP8.5) for three future periods (2030s, 2050s, and 2090s) were used to assess the climate change impacts on flow regimes. The results exhibited that both downscaling methods suggested an increase in annual streamflow over the river basin. There is generally an increasing trend of winter and autumn discharge, whereas it is complicated for summer and spring to conclude if the trend is increasing or decreasing depending on the downscaling methods. Therefore, the uncertainty associated with the downscaling of climate simulation needs to consider, for the best estimate, the impact of climate change, with its uncertainty, on a particular basin. The study also resulted that water yield and evapotranspiration in the eastern part of the basin (sub-basins at high elevation) would be most affected by climate change. The outcomes of this study would be useful for providing guidance in water management and planning for the river basin under climate change.


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