scholarly journals Investigation on Temporal and Spatial Distributions of Soil Moisture and Salinity in Typical Subareas of Ningxia Yellow Diversion Irrigation Area

2021 ◽  
Author(s):  
Xinxia Guo ◽  
Hefang Jing ◽  
Weihong Wang ◽  
Wensheng Zhang
Keyword(s):  
Soil Moisture ◽  
Yellow River ◽  
Soil Salinization ◽  
Kriging Interpolation ◽  
Spatial Distributions ◽  
The Sustainable Development ◽  
Irrigation Area ◽  
Kriging Interpolation Method ◽  
Main Canal ◽  
Temporal And Spatial

The problem of soil salinization in Ningxia Yellow Diversion Irrigation Area is relatively serious, which restricts the sustainable development of agricultural production to some extent. In this paper, the soil moisture and salinity along the West Main Canal and Tanglai Canal in Ningxia Yellow River Irrigation Area are investigated through choosing field sampling, and employing Kriging interpolation method. Soil moisture, salinity ions content and pH value are measured, and their temporal and spatial distributions are analyzed. The results show that the salinization in the soil surface of the studied area is cohesive and the soil is alkaline. The salinity content in soil gradually increases from southwest to northeast and the soil salination in Nanliang Farm of the studied area is relatively more serious. Generally speaking, the soil moisture along Tanglai Canal is higher than that along West Main Canal.

scholarly journals TEMPORAL AND SPATIAL VARIATION CHARACTERISTICS OF PM2.5 CONCENTRATION IN “2+26” CITIES

2020 ◽  
Vol XLII-3/W10 ◽  
pp. 995-1000
Author(s):  
L. S. Liang ◽  
J. L. Jing ◽  
A. N. Wang ◽  
F. L. Luo
Keyword(s):  
Air Pollution ◽  
Spatial Variation ◽  
Interpolation Method ◽  
Central Area ◽  
Control Measures ◽  
Kriging Interpolation ◽  
Kriging Interpolation Method ◽  
Temporal And Spatial ◽  
The Government ◽  
Pm2.5 Concentration

Abstract. In recent years, air pollution is still a serious problem in China. Therefore, the government has further strengthened the pollution control measures for the Beijing-Tianjin-Hebei (BTH) air pollution transmission channel cities (“2+26” cities). This study used real-time PM2.5 monitoring data from 176 air quality monitoring sites in “2+26” cities from 2015 to 2018. The temporal and spatial evolution characteristics of PM2.5 concentration in “2+26” cities were analysis by statistical analysis and Kriging interpolation method. The research results showed that: (1) From the analysed of time variation, the hourly variation presents a bimodal distribution, with the PM2.5 concentration reaching the peak at 9:00–10:00 O’clock and 22:00–00:00, and finally dropping to the lowest value at 16:00–17:00. The monthly change of PM2.5 concentration was almost the same, reaching the peak pollution concentration in December. The seasonal variation trend of the study area was almost the same, and the PM2.5 concentration had a small decline, except for the special changed in winter. However, autumn and winter were still the most polluted seasons, while the spring and summer were less polluted. (2) From the analysed of spatial variation, the pollution process started in November and ended slowly in March of the following year, with the worst and most extensive pollution in December. It was spread to surrounding cities by Baoding, Shijiazhuang, Xingtai and Handan in the central region, and the central area was the most polluted. In August, PM2.5 concentration was the lightest, with an average concentration of 42.4 μg/m3.

Analysis on Soil Moisture Content in the Middle Reaches of the Yellow River

2011 ◽  
Vol 28 (1) ◽  
pp. 85-91 ◽  
Author(s):  
Run-chun LI ◽  
Xiu-zhi ZHANG ◽  
Li-hua WANG ◽  
Xin-yan LV ◽  
Yuan GAO
Keyword(s):  
Soil Moisture ◽  
Moisture Content ◽  
Soil Moisture Content ◽  
Yellow River ◽  
The Yellow River

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.

scholarly journals Temporal and spatial distributions of animal and human rabies cases during 2012 and 2018, in Tunisia

2021 ◽  
Author(s):  
Sana Kalthoum ◽  
Kaouther Guesmi ◽  
Raja Gharbi ◽  
Mohamed Naceur Baccar ◽  
Chedia Seghaier ◽  
...  
Keyword(s):  
Human Rabies ◽  
Spatial Distributions ◽  
Temporal And Spatial

scholarly journals Analysis of Characteristics and Driving Factors of Wetland Landscape Pattern Change in Henan Province from 1980 to 2015

Land ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 564
Author(s):  
Heying Li ◽  
Jiayao Wang ◽  
Jianchen Zhang ◽  
Fen Qin ◽  
Jiyuan Hu ◽  
...  
Keyword(s):  
Correlation Analysis ◽  
Constructed Wetlands ◽  
Redundancy Analysis ◽  
Yellow River ◽  
Land Development ◽  
Henan Province ◽  
Driving Factors ◽  
Wetland Area ◽  
Natural Wetlands ◽  
Temporal And Spatial

The study of the temporal and spatial evolution of wetland landscapes and its driving factors is an important reference for wetland ecological restoration and protection. This article utilized seven periods of land use data in Henan Province from 1980 to 2015 to extract the spatial distribution characteristics of wetlands and analyze the temporal and spatial changes of wetlands in Henan Province. Transfer matrix, landscape metrics, correlation analysis, and redundancy analysis were applied to calculate and analyze the transformation types and area of wetland resources between all consecutive periods, and then the main driving factors of wetland expansion/contraction were explored. First, the total wetland area in Henan Province increased by 28% from 1980 to 2015, and the increased wetland area was mainly constructed wetlands, including paddy field, reservoir and pond, and canal. Natural wetlands such as marsh, lake, and floodplain decreased by 74%. Marsh area declined the most during 1990–1995, and was mainly transformed into floodplain and “Others” because of agricultural reclamation, low precipitation, and low Yellow River runoff. The floodplain area dropped the most from 2005 to 2010, mainly converted to canals and “Others” because of reclamation, exploitation of groundwater, the construction of the South–to–North Water Transfer Project, and recreational land development. Second, the results of correlation analysis and redundancy analysis indicated that economic factors were positively correlated with the area of some constructed wetlands and negatively correlated with the area of some natural wetlands. Socioeconomic development was the main driving factors for changes in wetland types. The proportion of wetland habitat in Henan Province in 2015 was only 0.3%, which is low compared to the Chinese average of 2.7%. The government should pay more attention to the restoration of natural wetlands in Henan Province.

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