Effects of continuous cropping on potato eco-physiological characteristics in the Yellow River irrigation area of the central Gansu Province

2013 ◽  
Vol 21 (6) ◽  
pp. 689-699
Author(s):  
Bao-Yun SHEN ◽  
Xing LIU ◽  
Di WANG ◽  
Pin-Pin MENG ◽  
Jun-Lian ZHANG ◽  
...  
Keyword(s):  
Yellow River ◽  
Gansu Province ◽  
Physiological Characteristics ◽  
The Yellow River ◽  
Continuous Cropping ◽  
Irrigation Area

Study on Calculation Methods of Agricultural Water Supply Cost in the Plain Irrigation Area of the Yellow River

2012 ◽  
Vol 212-213 ◽  
pp. 498-501
Author(s):  
Rui Guo ◽  
Sheng Le Cao
Keyword(s):  
Water Supply ◽  
Yellow River ◽  
Water Pricing ◽  
Water Price ◽  
The Yellow River ◽  
Agricultural Water ◽  
Calculation Methods ◽  
Irrigation Area ◽  
Agricultural Water Supply

Scientific and reasonable water price is the foundation of beneficial operation of water supply project, and water pricing is on the basis of per cubic meter water supply cost. According to characteristics of water supply project in the plain irrigation area of the Yellow River, a research on calculation methods of agricultural water supply cost is made. Calculation formulas of project lines are put forward and an example was given.

Effect of nitrate nitrogen leaching of paddy field based on Pig manure returning soil in the Yellow River irrigation area of Ningxia

2014 ◽  
Vol 34 (16) ◽  
Author(s):  
杨世琦 YANG Shiqi ◽  
王永生 WANG Yongsheng ◽  
张爱平 ZHANG Aiping ◽  
杨正礼 YANG Zhengli
Keyword(s):  
Paddy Field ◽  
Nitrate Nitrogen ◽  
Yellow River ◽  
Nitrogen Leaching ◽  
Pig Manure ◽  
The Yellow River ◽  
Irrigation Area

Research on Water Saving Irrigation and Optimal Allocation of Water Resources

2014 ◽  
Vol 522-524 ◽  
pp. 1000-1004
Author(s):  
Chang Hu ◽  
Dang Sheng Li
Keyword(s):  
Water Resources ◽  
Programming Problem ◽  
Optimal Allocation ◽  
Yellow River ◽  
Underground Water ◽  
The Yellow River ◽  
Agricultural Irrigation ◽  
Irrigation Area ◽  
One Dimensional ◽  
Decision Variables

The agricultural irrigation water of Kaifeng is mainly supplied by the Yellow River and the local underground water. According to the conditions of irrigation area water supply and groundwater reduction for many years, the paper puts forward the optimal allocation and the supplying water programs on using combination of surface water and groundwater. By using variable one-dimensional search technology, the nonlinear programming problem will be turned into linear programming problem. Thus, choose different decision variables and different parameters to use computing in order to get to approach the optimal allocation of water resources.

Study on Distribution and Source Apportionment of Heavy Metals in Atmospheric Particulate Matter in Gansu, Ningxia and Inner Mongolia Sections of the Yellow River of China

2014 ◽  
Vol 675-677 ◽  
pp. 363-366
Author(s):  
Xiao Ling Ma ◽  
Xiao Qian Ren ◽  
Jing Jun Liu ◽  
Ying Liu
Keyword(s):  
Heavy Metals ◽  
Particulate Matter ◽  
Source Apportionment ◽  
Inner Mongolia ◽  
Yellow River ◽  
Enrichment Factors ◽  
Gansu Province ◽  
Atmospheric Particulate Matter ◽  
The Yellow River ◽  
Atmospheric Particulate

The distribution and source apportionment of 12 heavy metals including Hg, As, Cd, Pb, Cr, Ni, Cu, V, Co, Zn, Mn and Ba in atmospheric particulate matter (APM) at 5 samplings sites from Gansu, Ningxia and Inner Mongolia sections of the Yellow River of China in 2012 year were studied in this paper. The results indicated that Zn had a maximum mean concentration at T5 (Gansu Province), followed by As. The order of average concentrations of all heavy metals was as follows: Zn>Mn>As>Cu>Pb>Cr>V>Ni>Cd>Hg>Co, Ba. According to enrichment factors (EF), only Mn was seriously enriched at all sampling sites, especially at T4, which indicated that anthropic source is dominant and the others were not enriched. The results of cluster analysis (CA) showed that 12 heavy metals from 5 sampling sites were clustered into four different groups at the linkage distance of 10 and they came from a variety of sources such as fuel, fertilizers, agrochemicals and mining.

Sign in / Sign up

Export Citation Format

Share Document