Estimating North Korea Agricultural Water Demand in Paddy Fields Using Satellite Images and GIS

2007 ◽  
Author(s):  
Sung Han - Yoon ◽  
Jin Yong Choi ◽  
Min Won Jang ◽  
Seung Hwan Yoo
Keyword(s):  
Water Demand ◽  
North Korea ◽  
Satellite Images ◽  
Paddy Fields ◽  
Agricultural Water

Decoupling of forest water supply and agricultural water demand attributable to deforestation in North Korea

2019 ◽  
Vol 248 ◽  
pp. 109256 ◽  
Author(s):  
Chul-Hee Lim ◽  
Cholho Song ◽  
Yuyoung Choi ◽  
Seong Woo Jeon ◽  
Woo-Kyun Lee
Keyword(s):  
Water Supply ◽  
Water Demand ◽  
North Korea ◽  
Agricultural Water

Exploring Northwest China's agricultural water-saving strategy: analysis of water use efficiency based on an SE-DEA model conducted in Xi'an, Shaanxi Province

2016 ◽  
Vol 74 (5) ◽  
pp. 1106-1115 ◽  
Author(s):  
L. Mu ◽  
L. Fang ◽  
H. Wang ◽  
L. Chen ◽  
Y. Yang ◽  
...  
Keyword(s):  
Water Resources ◽  
Water Use Efficiency ◽  
Water Use ◽  
Water Demand ◽  
Water Governance ◽  
Northwest China ◽  
Water Saving ◽  
Shaanxi Province ◽  
Agricultural Water ◽  
Use Efficiency

Worldwide, water scarcity threatens delivery of water to urban centers. Increasing water use efficiency (WUE) is often recommended to reduce water demand, especially in water-scarce areas. In this paper, agricultural water use efficiency (AWUE) is examined using the super-efficient data envelopment analysis (DEA) approach in Xi'an in Northwest China at a temporal and spatial level. The grey systems analysis technique was then adopted to identify the factors that influenced the efficiency differentials under the shortage of water resources. From the perspective of temporal scales, the AWUE increased year by year during 2004–2012, and the highest (2.05) was obtained in 2009. Additionally, the AWUE was the best in the urban area at the spatial scale. Moreover, the key influencing factors of the AWUE are the financial situations and agricultural water-saving technology. Finally, we identified several knowledge gaps and proposed water-saving strategies for increasing AWUE and reducing its water demand by: (1) improving irrigation practices (timing and amounts) based on compatible water-saving techniques; (2) maximizing regional WUE by managing water resources and allocation at regional scales as well as enhancing coordination among Chinese water governance institutes.

Remote sensing of agricultural water demand information: A California study

1978 ◽  
Vol 14 (2) ◽  
pp. 170-176 ◽  
Author(s):  
John E. Estes ◽  
John R. Jensen ◽  
Larry R. Tinney
Keyword(s):  
Remote Sensing ◽  
Water Demand ◽  
Agricultural Water ◽  
Demand Information

scholarly journals Evaluation of Water-Storage and Water-Saving Potential for Paddy Fields in Gaoyou, China

Water ◽  
2018 ◽  
Vol 10 (9) ◽  
pp. 1176 ◽  
Author(s):  
Chuanjuan Wang ◽  
Shaoli Wang ◽  
Haorui Chen ◽  
Jiandong Wang ◽  
Yuan Tao ◽  
...  
Keyword(s):  
Southern China ◽  
Financial Burden ◽  
Water Shortage ◽  
Water Saving ◽  
Paddy Fields ◽  
Balance Model ◽  
Agricultural Water ◽  
Average Water ◽  
Agricultural Water Resources ◽  
Water Fee

In China, the stress on agricultural water resources is becoming increasingly severe. In response, a range of water-saving irrigation (WSI) policies and practices have been promoted to improve irrigation efficiency. In this study, a water-balance model in paddy fields was calibrated and validated using a 2-year field experimental dataset collected from an irrigated area in Gaoyou, China, in 2014–2015. The model was used to assess the effects of WSI practices and provides options for implementing water-price reforms. Results show that paddy fields effectively retain rainfall with utilization rates greater than 70% for both shallow wet irrigation (SWI) and shallow humidity-regulated irrigation (SHRI) scenarios. The estimated average water-saving rates from 1960 to 2015 using SWI and SHRI are 33.7% and 43%, respectively, which represent considerable reductions in water consumption. The benefits of WSI practices combined with water management policies are also evident. For example, conversion of irrigation water to industrial water yields a 3-year average water fee of 205.2 yuan/ha using SWI and 20.6 yuan/ha using SHRI, considerably reducing farmers’ financial burden for agricultural water supplies. In conclusion, we recommend the adoption of SWI and SHRI practices in southern China as a means of partially alleviating China’s water-shortage problem.

Assessment of Agricultural Water Demand of Arial Khan River Catchment Using Cropwat 8.0 Model

2021 ◽  
pp. 461-474
Author(s):  
Md Abul Kalam Azad ◽  
Umme Kulsum Navera ◽  
Sabrina Rashid Sheonty
Keyword(s):  
Water Demand ◽  
Agricultural Water ◽  
River Catchment

Assessment of Rice Yield and Irrigation Water Demand Change in the Korean Peninsula based on RCP Climate Change Scenario

2020 ◽  
Author(s):  
Sujong Lee ◽  
Halim Lee ◽  
Hyun-Woo Jo ◽  
Youngjin Ko ◽  
Chul-Hee Lim ◽  
...  
Keyword(s):  
Climate Change ◽  
Irrigation Water ◽  
Water Demand ◽  
Korean Peninsula ◽  
North Korea ◽  
Rice Yield ◽  
Agricultural Drought ◽  
Change Scenario ◽  
Epic Model ◽  
Irrigation Water Demand

<p>In 2019, The Food and Agriculture Organization(FAO) announced that North Korea was a food shortage country and which is closely related to the agricultural drought frequency. These agricultural drought frequencies derived from global climate change are increasing and in terms of climate change, agricultural drought is not just a national problem, but a global scale issue. To respond to agricultural drought-related with food shortage, various studies and projects are conducted based on the remote sensing data and modeling such as hydrological model, crop model, but access to public data in North Korea is limited, and also objectivity is difficult to be guaranteed. In this study, the estimation of rice yield and irrigation water demand based on the RCP (Representative Concentration Pathway) climate change scenario was conducted using Environmental Policy Integrated Climate(EPIC) model which calculates various variables related to agriculture by using climatic data, Soil data and topographic data. For validating the parameter of the model, the study area was set to the Korean Peninsula and the parameter was set stepwise compared results of the model with South Korea national statistics. The results of rice yield and irrigation water demand in the Korean Peninsula was validated by using statistics of international organizations. The assessment of Rice Yield and Irrigation Water Demand Change based on the EPIC model is considered a method for complementing the field test and statistical limitations in North Korea. This study can be used as basic data for agricultural drought in North Korea and Based on the model results, it is necessary to concern food security.</p>

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