scholarly journals Characteristics of Seasonal Frozen Soil in Hetao Irrigation District under Climate Change

Author(s):  
R. X. Duan ◽  
◽  
F. Wang ◽  
Y. F. Li ◽  
◽  
...  
Water ◽  
2017 ◽  
Vol 9 (6) ◽  
pp. 429 ◽  
Author(s):  
Tianwa Zhou ◽  
Pute Wu ◽  
Shikun Sun ◽  
Xiaolei Li ◽  
Yubao Wang ◽  
...  

2013 ◽  
Vol 38 (5) ◽  
pp. 909-913 ◽  
Author(s):  
Wen-Jie TONG ◽  
Qian LIU ◽  
Fu CHEN ◽  
Xin-Ya WEN ◽  
Zhong-Hao LI ◽  
...  

2019 ◽  
Vol 23 (7) ◽  
pp. 3097-3115 ◽  
Author(s):  
Zhongyi Liu ◽  
Xingwang Wang ◽  
Zailin Huo ◽  
Tammo Siert Steenhuis

Abstract. Rapid population growth is increasing pressure on the world water resources. Agriculture will require crops to be grown with less water. This is especially the case for the closed Yellow River basin, necessitating a better understanding of the fate of irrigation water in the soil. In this paper, we report on a field experiment and develop a physically based model for the shallow groundwater in the Hetao irrigation district in Inner Mongolia, in the arid middle reaches of the Yellow River. Unlike other approaches, this model recognizes that field capacity is reached when the matric potential is equal to the height above the groundwater table and not by a limiting soil conductivity. The field experiment was carried out in 2016 and 2017. Daily moisture contents at five depths in the top 90 cm and groundwater table depths were measured in two fields with a corn crop. The data collected were used for model calibration and validation. The calibration and validation results show that the model-simulated soil moisture and groundwater depth fitted well. The model can be used in areas with shallow groundwater to optimize irrigation water use and minimize tailwater losses.


2019 ◽  
Vol 46 (16) ◽  
pp. 9497-9508 ◽  
Author(s):  
Y. Miao ◽  
Y. Shi ◽  
H. Y. Zhuang ◽  
S. Y. Wang ◽  
H. B. Liu ◽  
...  

Agronomy ◽  
2018 ◽  
Vol 9 (1) ◽  
pp. 4 ◽  
Author(s):  
Miguel Orduño Torres ◽  
Zein Kallas ◽  
Selene Ornelas Herrera

Risk attitudes are relevant factors affecting production, management and investment decisions at the farm level. They are key factors related to farmers’ attitudes towards the environment and climate change. Several methodological approaches, which were considered to be preferable for measuring the level of risk of an economic agent, ranging from highly risk-tolerant to highly risk-averse attitudes, are available. The Multiple Price List (MPL) method is one of the stated approaches that is gaining relevance. In this study, we apply the MPL and relate the risk outcomes to farmers’ socio-economic characteristics and their perceptions of the environment and climate change. Data were collected using a face-to-face survey, carried out with a group of 370 farmers of an irrigation district, located in the northwest of Mexico. The results showed a risk level of about 0.32, according to the Constant Relative Risk Aversion (CRRA) coefficient, locating farmers of the region in a risk-averse group. The heterogeneity analysis showed that the socioeconomic factors and the perceptions of climate change are related to the farmers´ stated risk level. Farmers who are young women, with a tendency to use public support for structural investment, were shown to be risk-tolerant. Farmers considered floods, hail, diseases, pests, and weed growth incidences to be the most frequent weather patterns in the region.


2018 ◽  
Vol 467 ◽  
pp. 230-241 ◽  
Author(s):  
Zhongqiong Zhang ◽  
Qingbai Wu ◽  
Xueyi Xun ◽  
Boxin Wang ◽  
Xunan Wang

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