scholarly journals In-situ pumping tests and numerical simulations of seepage wells in the Yellow River valley, China

Author(s):  
Xianmin Ke ◽  
Wei Wang ◽  
Jinlong Li ◽  
Qiming Sun ◽  
Lulu Lian ◽  
...  

Abstract Seepage wells that can convert surface water into groundwater are often constructed near the river valley to obtain more water and lead to smaller drawdown comparing with traditional wells. Seepage wells have been widely used, whilst the groundwater and river level variations caused by seepage wells are still unclear, and numerical models are rarely verified due to the lack of in-situ observation data, which may lead to the results are quite different from the actual conditions. To address those limitations, a large-scale pumping test was carried out near the Yellow River valley in China and a coupled seepage-pipe flow model was established using the exchange yield between the aquifer and pipe as the couple key in this research. The coupled model was evaluated with in-situ measurement. The field observation showed that both the river and groundwater had a positive response to the pumping of the seepage wells. The simulation results indicated that our model can well estimate the pumping rate and drawdown with root-mean-square deviations of 158.235 m3/d and 0.766 m, respectively. Further, it is also found that the groundwater showed the obvious characteristics of three-dimensional flow under the influence of seepage wells and the maximum drawdown should be less than 15 m to ensure exploitation efficiency. These findings provide important information that can guide the design and construction of seepage wells to improve the rational exploitation of groundwater.

2020 ◽  
Vol 56 (3) ◽  
pp. 422-439
Author(s):  
Guoping Wang ◽  
Yabing Li ◽  
Yingchun Han ◽  
Zhanbiao Wang ◽  
Beifang Yang ◽  
...  

AbstractThe cotton-wheat double-cropping system is widely used in the Yellow River Valley of China, but whether and how different planting patterns within cotton-wheat double-cropping systems impact heat and light use efficiency have not been well documented. A field experiment investigated the effects of the cropping system on crop productivity and the capture and use efficiency of heat and light in two fields differing in soil fertility. Three planting patterns, namely cotton intercropped with wheat (CIW), cotton directly seeded after wheat (CDW), and cotton transplanted after wheat (CTW), as well as one cotton monoculture (CM) system were used. Cotton-wheat double cropping significantly increased crop productivity and land equivalent ratios relative to the CM system in both fields. As a result of increased growing degree days (GDD), intercepted photosynthetically active radiation (IPAR), and photothermal product (PTP), the capture of light and heat in the double-cropping systems was compared with that in the CM system in both fields. With improved resource capture, the double-cropping systems exhibited a higher light and heat use efficiency according to thermal product efficiency, solar energy use efficiency (Eu), radiation use efficiency (RUE), and PTP use efficiency (PTPU). The cotton lint yield and biomass were not significantly correlated with RUE across cropping patterns, indicating that RUE does not limit cotton production. Among the double-cropping treatments, CDW had the lowest GDD, IPAR, and PTP values but the highest heat and light resource use efficiency and highest overall resource use efficiency. This good performance was even more obvious in the high-fertility field. Therefore, we encourage the expanded use of CDW in the Yellow River Valley, especially in fields with high fertility, given the high productivity and resource use efficiency of this system. Moreover, the use of agronomic practices involving a reasonably close planting density, optimized irrigation and nutrient supply, and the application of new short-season varieties of cotton or wheat can potentially enhance CDW crop yields and productivity.


2022 ◽  
Vol 21 (1) ◽  
pp. 78-90
Author(s):  
Ling-xiao ZHU ◽  
Lian-tao LIU ◽  
Hong-chun SUN ◽  
Yong-jiang ZHANG ◽  
Ke ZHANG ◽  
...  

2016 ◽  
Vol 198 ◽  
pp. 112-121 ◽  
Author(s):  
Xiangru Wang ◽  
Yuru Hou ◽  
Mingwei Du ◽  
Dongyong Xu ◽  
Huaiyu Lu ◽  
...  

2007 ◽  
Vol 2 (4) ◽  
pp. 287-295 ◽  
Author(s):  
Katsutada ONITSUKA ◽  
Peihang CHEN ◽  
Peihua TONG ◽  
Takehito NEGAMI ◽  
Kei HAYAKAWA

2008 ◽  
Vol 22 (10) ◽  
pp. 1499-1519 ◽  
Author(s):  
H. R. Wang ◽  
Y. Y. Dong ◽  
Y. Wang ◽  
Q. Liu

2014 ◽  
Vol 164 ◽  
pp. 22-29 ◽  
Author(s):  
Jianlong Dai ◽  
Zhen Luo ◽  
Weijiang Li ◽  
Wei Tang ◽  
Dongmei Zhang ◽  
...  

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