IMPACT�OF�CLIMATE�CHANGE�ON�AGRICULTURAL�WATER�USE�IN�ARID�AND�SEMI-ARID�REGIONS

2012 ◽  
Author(s):  
Mohsen Barahimi
Keyword(s):  
Climate Change ◽  
Water Use ◽  
Arid Regions ◽  
Agricultural Water ◽  
Impact Of Climate Change ◽  
Agricultural Water Use ◽  
Semi Arid

scholarly journals Spatial–Temporal Evolution Characteristics and Influencing Factors of Agricultural Water Use Efficiency in Northwest China—Based on a Super-DEA Model and a Spatial Panel Econometric Model

Water ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 632
Author(s):  
Weinan Lu ◽  
Wenxin Liu ◽  
Mengyang Hou ◽  
Yuanjie Deng ◽  
Yue Deng ◽  
...  
Keyword(s):  
Water Use Efficiency ◽  
Water Use ◽  
Water Resource ◽  
Arid Regions ◽  
Econometric Model ◽  
Northwest China ◽  
Agricultural Water ◽  
Agricultural Water Use ◽  
Use Efficiency ◽  
Semi Arid

Improving agricultural water use efficiency (AWUE) is an important way to solve the shortage of water resources in arid and semi-arid regions. This study used the Super-DEA (data envelopment analysis) to measure the AWUE of 52 cities in Northwest China from 2000 to 2018. Based on spatial and temporal perspectives, it applied Exploratory Spatial Data Analysis (ESDA) to explore the dynamic evolution and regional differences of AWUE. A spatial econometric model was then used to analyze the main factors that influence the AWUE in Northwest China. The results showed firstly that the overall AWUE in Northwest China from 2000 to 2018 presented a steady upward trend. However, only a few cities achieved effective agricultural water usage by 2018, and the differences among cities were obvious. Secondly, AWUE showed an obvious spatial autocorrelation in Northwest China and showed significant high–high and low–low agglomeration characteristics. Thirdly, economic growth, urbanization development, and effective irrigation have significant, positive effects on AWUE, while per capita water resource has a significant, negative influence. Finally, when improving the AWUE in arid and semi-arid regions, plans should be formulated according to local conditions. The results of this study can provide new ideas on the study of AWUE in arid and semi-arid regions and provide references for the formulation of regional agricultural water resource utilization policies as well.

Impact assessment of climate change and human activities on GHG emissions and agricultural water use

2021 ◽  
Author(s):  
Shikun Sun ◽  
Yihe Tang
Keyword(s):  
Climate Change ◽  
Water Use ◽  
Water Conservation ◽  
Positive Impact ◽  
Ghg Emissions ◽  
Production Factor ◽  
Agricultural Water ◽  
Dndc Model ◽  
Agricultural Water Use ◽  
Means Of Production

<p>The agriculture sector is one of the largest users of water and a significant source of greenhouse gas (GHG) emissions. The development of low-GHG-emission and water-conserving agriculture will inevitably be the trend in the future. Because of the physiological differences among crops and their response efficiency to external changes, changes in planting structure, climate and input of production factors will have an impact on regional agricultural water use and GHG emissions. This paper systematically analyzed the spatial-temporal evolution characteristics of crop planting structure, climate, and production factor inputs in Heilongjiang Province, the main grain-producing region of China, from 2000 to 2015, and quantified the regional agricultural water use and GHG emissions characteristics under different scenarios by using the Penman-Monteith formula and the Denitrification-Decomposition (DNDC) model. The results showed that the global warming potential (GWP) increased by 15% due to the change in planting structure. A large increase in the proportion of rice and corn sown was the main reason. During the study period, regional climate change had a positive impact on the water- saving and emission reduction of the agricultural industry. The annual water demand per unit area decreased by 19%, and the GWP decreased by 12% compared with that in 2000. The input of fertilizer and other means of production will have a significant impact on GHG emissions from farmlands. The increase in N fertilizer input significantly increased N<sub>2</sub>O emissions, with a 5% increase in GWP. Agricultural water consumption and carbon emissions are affected by changes in climate, input of means of production, and planting structure. Therefore, multiple regulatory measures should be taken in combination with regional characteristics to realize a new layout of planting structure with low emissions, water conservation, and sustainability.</p>

POTENTIAL EFFECTS OF CLIMATE CHANGE ON AGRICULTURAL WATER USE IN THE SOUTHEAST U.S.

1999 ◽  
Vol 35 (6) ◽  
pp. 1551-1561 ◽  
Author(s):  
Upton Hatch ◽  
Shrikant Jagtap ◽  
Jim Jones ◽  
Marshall Lamb
Keyword(s):  
Climate Change ◽  
Water Use ◽  
Agricultural Water ◽  
Agricultural Water Use

scholarly journals Adapting Agricultural Water Use to Climate Change in a Post-Soviet Context: Challenges and Opportunities in Southeast Kazakhstan

Human Ecology ◽  
2017 ◽  
Vol 45 (6) ◽  
pp. 747-762 ◽  
Author(s):  
Tristam Barrett ◽  
Giuseppe Feola ◽  
Marina Khusnitdinova ◽  
Viktoria Krylova
Keyword(s):  
Climate Change ◽  
Water Use ◽  
Agricultural Water ◽  
Agricultural Water Use ◽  
Challenges And Opportunities

scholarly journals Model Application for Sustainable Agricultural Water Use

Agronomy ◽  
2020 ◽  
Vol 10 (3) ◽  
pp. 396
Author(s):  
Jaehak Jeong ◽  
Xuesong Zhang
Keyword(s):  
Climate Change ◽  
Water Use ◽  
Data Science ◽  
Cropping Systems ◽  
Model Development ◽  
Agricultural Water ◽  
Crop Models ◽  
Agricultural Water Use ◽  
Modeling Techniques ◽  
Integrate Data

With the growing population and climate change, increasing demands for water are intensifying competition between agricultural stakeholders. Since the mid-20th century, numerous crop models and modeling techniques have emerged for the quantitative assessment of cropping systems. This article introduces a collection of articles that explore current research in model applications for sustainable agricultural water use. The collection includes articles from model development to regional and field-scale applications addressing management effects, model uncertainty, irrigation decision support systems, and new methods for simulating salt balances. Further work is needed to integrate data science, modern sensor systems, and remote sensing technologies with the models in order to investigate the sustainability of agricultural systems in regions affected by land-use change and climate change.

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