Estimation of Agricultural Water Use through the Rational Calculation of Paddy Rice Irrigation Water

2006 ◽  
Author(s):  
Phil-Shik KIM ◽  
Sun Joo KIM ◽  
Yong-Jig LEE
Keyword(s):  
Water Use ◽  
Irrigation Water ◽  
Paddy Rice ◽  
Agricultural Water ◽  
Agricultural Water Use ◽  
Rice Irrigation ◽  
Rational Calculation

scholarly journals Analysis of Agricultural Water Use Efficiency Based on Analytic Hierarchy Process and Fuzzy Comprehensive Evaluation in Xinjiang, China

Water ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 3266
Author(s):  
Peibing Song ◽  
Xiaoying Wang ◽  
Chao Wang ◽  
Mengtian Lu ◽  
Lei Chen ◽  
...  
Keyword(s):  
Water Use Efficiency ◽  
Water Use ◽  
Irrigation Water ◽  
Evaluation Model ◽  
Fuzzy Evaluation ◽  
Agricultural Water ◽  
Analytic Hierarchy ◽  
Agricultural Water Use ◽  
Use Efficiency ◽  
Hierarchy Process

Improving agricultural water use efficiency (WUE) and reducing the proportion of agricultural water consumption are of great significance for coping with the water crisis in the world, particularly in northwest China. However, considering the lack of WUE indicators for the selection and an evaluation of system construction in Xinjiang, the implementation of the strictest water resources management system in this province has been seriously restricted. In order to evaluate the agricultural water utilization situation of 14 administrative regions in Xinjiang, a synthetical evaluation model is proposed combining the analytic hierarchy process method and the fuzzy evaluation method. Firstly, an evaluation system composed of the target layer (i.e., water use efficiency), the criterion layer (i.e., water use situation, engineering measure, planting structure) and the index layer (e.g., utilization coefficient of irrigation water, weighting irrigation quota, grain production per cubic meter of irrigation water, etc.) is constructed. Secondly, a classification standard of evaluation indicators is put forward and a fuzzy evaluation model is introduced into calculate agricultural WUE. Finally, key evaluation indicators that lead to these administrative regions with very low WUE are identified, and discussions on improving agricultural WUE in Kashgar are made. The evaluation results of this study are beneficial for providing support for reforming agricultural water use and promoting sustainable agricultural development in Xinjiang.

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.

scholarly journals Socio-hydrological drivers of agricultural water use in small reservoirs

2019 ◽  
Vol 218 ◽  
pp. 17-29 ◽  
Author(s):  
Andrew Ogilvie ◽  
Jeanne Riaux ◽  
Sylvain Massuel ◽  
Mark Mulligan ◽  
Gilles Belaud ◽  
...  
Keyword(s):  
Water Use ◽  
Agricultural Water ◽  
Small Reservoirs ◽  
Agricultural Water Use

Embodied agricultural water use in China from 1997 to 2010

2016 ◽  
Vol 112 ◽  
pp. 3176-3184 ◽  
Author(s):  
Shan Guo ◽  
Geoffrey Qiping Shen ◽  
Yi Peng
Keyword(s):  
Water Use ◽  
Agricultural Water ◽  
Agricultural Water Use

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>

scholarly journals Blending Satellite Data to Monitor Agricultural Water Use

Eos ◽  
2017 ◽  
Author(s):  
Terri Cook
Keyword(s):  
Water Quality ◽  
Water Use ◽  
Satellite Data ◽  
New Technique ◽  
Agricultural Water ◽  
Agricultural Water Use ◽  
Improve Water Quality ◽  
A New Technique ◽  
Quality Assessments

A new technique that merges data gathered by multiple satellites can be used to monitor agricultural water use and improve water quality assessments around the globe.

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