Risk assessment of water resource shortages in the Aksu River basin of northwest China under climate change

2022 ◽  
Vol 305 ◽  
pp. 114394
Author(s):  
Peng Yang ◽  
Shengqing Zhang ◽  
Jun Xia ◽  
Yaning Chen ◽  
Yongyong Zhang ◽  
...  
2018 ◽  
Vol 49 (6) ◽  
pp. 1740-1752 ◽  
Author(s):  
Peng Yang ◽  
Jun Xia ◽  
Chesheng Zhan ◽  
Xuejuan Chen ◽  
Yunfeng Qiao ◽  
...  

Abstract Separating the impacts of climate change and human activity on actual evapotranspiration (ET) is important for reducing comprehensive risk and improving the adaptability of water resource systems. In this study, the spatiotemporal distribution of actual ET in the Aksu River Basin, Northwest China, during the period 2000–2015 was evaluated using the Vegetation Interfaces Processes model and Moderate Resolution Imaging Spectroradiometer-Normalized Difference Vegetation Index. The impact of climate change and human activity on actual ET were separated and quantified. The results demonstrated that: (1) the annual pattern of actual ET per pixel exhibited the highest values for arable land (average 362.4 mm/a/pixel), followed by forest land and grassland (average of 159.6 and 142.8 mm/a/pixel, respectively). Significant increasing linear trends (p < 0.05) of 3.2 and 1.8 mm/a were detected in the arable land and forest land time series, respectively; (2) precipitation was the most significant of the selected climate factors (precipitation, average temperature, sunshine duration, and wind speed) for all ecosystems. The second most significant was wind speed; (3) human activity caused 89%, 98%, and 80% of the changes in actual ET of forest, grass, and arable land, respectively, while climate change caused 11%, 2%, and 20% of the changes in actual ET, in the Aksu River Basin during 2000–2015.


2019 ◽  
Vol 11 (18) ◽  
pp. 5064 ◽  
Author(s):  
Wan ◽  
Song ◽  
Su ◽  
Peng ◽  
Khatiwada ◽  
...  

In the Koshi River Basin, the effects of climate change have become clear. Agricultural countries, such as Nepal, depend on farmers’ adaptations to climate change for local sustainable development. Limited livelihood options, unequal access to resources and information, and climate change-related floods and droughts have reduced farmer welfare. Few studies have investigated the effects of altitude in rural areas or examined livelihood adaptation strategies in Nepal. Using a survey of farmers in rural areas at high, middle, and low altitudes in Nepal, this article explores the impacts of climate change-related floods and droughts, as well as the water resource utilization, disaster resilience, and livelihood improvement ability of farmers and the influencing factors. This article adopted participatory rural appraisal to obtain survey data from farmers at three altitudes. Through one-way ANOVA and F-tests, farmers’ perceptions of floods and droughts were analyzed, and through field investigations, their production and water consumption patterns were established. Logistic regressions show that college education, farming income, and domestic water consumption have the strongest impacts on households’ disaster resilience, while non-farm income, male laborer rates, and college education have the strongest impacts on households’ abilities to improve livelihoods. Based on our results, we offer countermeasures and suggestions on education, gender equality, and rural infrastructure construction.


Author(s):  
Liu Liu ◽  
Zezhong Guo ◽  
Guanhua Huang ◽  
Ruotong Wang

As the second largest inland river basin situated in the middle of the Hexi Corridor, Northwest China, the Heihe River basin (HRB) has been facing a severe water shortage problem, which seriously restricts its green and sustainable development. The evaluation of climate change impact on water productivity inferred by crop yield and actual evapotranspiration is of significant importance for water-saving in agricultural regions. In this study, the multi-model projections of climate change under the three Representative Concentration Pathways emission scenarios (RCP2.6, RCP4.5, RCP8.5) were used to drive an agro-hydrological model to evaluate the crop water productivity in the middle irrigated oases of the HRB from 2021–2050. Compared with the water productivity simulation based on field experiments during 2012–2015, the projected water productivity in the two typical agricultural areas (Gaotai and Ganzhou) both exhibited an increasing trend in the future 30 years, which was mainly attributed to the significant decrease of the crop water consumption. The water productivity in the Gaotai area under the three RCP scenarios during 2021–2050 increased by 9.2%, 14.3%, and 11.8%, while the water productivity increased by 15.4%, 21.6%, and 19.9% in the Ganzhou area, respectively. The findings can provide useful information on the Hexi Corridor and the Belt and Road to policy-makers and stakeholders for sustainable development of the water-ecosystem-economy system.


2011 ◽  
Vol 21 (4) ◽  
pp. 609-620 ◽  
Author(s):  
Shouhong Zhang ◽  
Suxia Liu ◽  
Xingguo Mo ◽  
Chang Shu ◽  
Yang Sun ◽  
...  

Water ◽  
2019 ◽  
Vol 11 (2) ◽  
pp. 347 ◽  
Author(s):  
Ruotong Wang ◽  
Qiuya Cheng ◽  
Liu Liu ◽  
Churui Yan ◽  
Guanhua Huang

Based on three IPCC (Intergovernmental Panel on Climate Change) Representative Concentration Pathway (RCP) scenarios (RCP2.6, RCP4.5, and RCP8.5), observed meteorological data, ERA-40 reanalysis data, and five preferred GCM (general circulation model) outputs selected from 23 GCMs of CMIP5 (Phase 5 of the Coupled Model Intercomparison Project), climate change scenarios including daily precipitation, maximum air temperature, and minimum air temperature from 2021 to 2050 in the Heihe River basin, which is the second largest inland river basin in Northwest China, were generated by constructing a statistical downscaling model (SDSM). Results showed that the SDSM had a good prediction capacity for the air temperature in the Heihe River basin. During the calibration and validation periods from 1961 to 1990 and from 1991 to 2000, respectively, the coefficient of determination (R2) and the Nash–Sutcliffe efficiency coefficient (NSE) were both larger than 0.9, while the root mean square error (RMSE) was within 20%. However, the SDSM showed a relative lower simulation efficiency for precipitation, with R2 and NSE values of most meteorological stations reaching 0.5, except for stations located in the downstream desert areas. Compared with the baseline period (1976–2005), changes in the annual mean precipitation simulated by different GCMs during 2021–2050 showed great difference in the three RCP scenarios, fluctuating from −10 to +10%, which became much more significant at seasonal and monthly time scales, except for the consistent decreasing trend in summer and increasing trend in spring. However, the maximum and minimum air temperature exhibited a similar increasing tendency during 2021–2050 in all RCP scenarios, with a higher increase in maximum air temperature, which increased as the CO2 concentration of the RCP scenarios increased. The results could provide scientific reference for sustainable agricultural production and water resources management in arid inland areas subject to climate change.


2007 ◽  
Vol 19 (4) ◽  
pp. 488-493 ◽  
Author(s):  
Ya-ning CHEN ◽  
Wei-hong LI ◽  
Chang-chun XU ◽  
Xin-ming HAO

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