National Engineering Laboratory for Crop Water Efficient Use

Yangling, China

National Engineering Laboratory for Crop Water Efficient Use

Yangling, China

Time filter

Source Type

Zhou Z.X.,Northwest University, China | Zhou Z.X.,National Engineering Laboratory for Crop Water Efficient Use | Li J.,Shaanxi Normal University | Zhang W.,Shaanxi Normal University
Environmental Science and Pollution Research | Year: 2016

Ecosystems offer material and environmental support for human habitation and development in those areas of the earth where people choose to live. However, urbanization is an inexorable trend of human social development and threatens the health of those ecosystems inhabited by humans. This study calculates the values of NPP (net primary productivity), carbon sequestration, water interception, soil conservation, and agricultural production in the Guanzhong-Tianshui Economic Zone. At the same time, we combined DMSP/OLS (Defense Meteorological Satellite Program Operational Line Scanner) night lights remote sensing data and statistical data to analyze the level of urbanization. Quantitative analysis was performed on the interactions between the ecosystem service functions and urbanization based on the calculations of their coupled coordination degrees. The results were the following: (1) The values of NPP, carbon sequestration, and agricultural production showed a trend of increase. However, water interception decreased before increasing, while soil conservation showed the reverse trend; (2) Urbanization levels in the Guanzhong-Tianshui Economic Zone for the last 10 years have proceeded at a fast pace with comprehensive promotion; and (3) Coupled and coupled coordination degrees between urbanization and ecosystem services show increasing trends. This research can provide a theoretical basis for the region’s rapid economic development in the balance. © 2016, Springer-Verlag Berlin Heidelberg.


Zhou Z.X.,Northwest University, China | Zhou Z.X.,National Engineering Laboratory for Crop Water Efficient Use | Li J.,Shaanxi Normal University
Journal of Hydrology | Year: 2015

Yanhe watershed, as a typical and experimental district of Soil and Water Conservation District, has long been plagued by soil erosion due to severe human disturbances. Exploring the relationship between watershed landscape pattern and hydrological processes can find effective ways to solve soil erosion problems. At first, with remote sensing and GIS (Geographic Information System) technology and based on SWAT model, this paper analyzed and simulated ecological hydrological processes in Yanhe watershed. It is on subbasin scale that the runoff and sediment yields were simulated monthly in Yanhe watershed using SWAT model. Secondly, it quantified landscape pattern with landscape indices. The seven landscape indices at the landscape level were selected with principal component factor analysis, including Disjunct Core Area Density (DCAD), Radius of gyration (GYRATE_SD), Patch Cohesion Index (COHESION), Shannon's diversity index (SHEI), Total Core Area (TCA), Perimeter-Area Fractal dimension index (PAFRAC), Interspersion and Juxtaposition Index (IJI), etc. Thirdly, a new composite landscape index was constructed on the basis of eco-hydrological processes, which was closely related to soil erosion. The results are as follows: (1) Coupled analysis on the relationship of landscape indices and annual runoff as well as annual sediment yields in each subbasin, the correlation coefficient of seven selected landscape indices and runoff is very small, no passing all significant tests. But the correlation between sediment yields and the indices except for TCA and IJI is significant, and the absolute value of the correlation coefficient is between 0.3 and 0.5. (2) According to the "source-sink" theory of soil erosion, Slope-HRUs landscape index (SHLI) was built and can reflect the relationship between landscape pattern and soil erosion processes to a certain extent. The coupling relationship between Slope-HRUs landscape index (SHLI) and annual sediment yields in each subbasin is very clear, and correlation coefficient is -0.6, which is significantly negatively correlated. © 2015 Elsevier B.V.


Chen X.,Northwest University, China | Han W.,Northwest University, China | Han W.,Chinese Ministry of Water Resources | Han W.,National Engineering Laboratory for Crop Water Efficient Use | Li M.,Northwest University, China
African Journal of Biotechnology | Year: 2012

In order to detect crop water status with fast, non-destructive monitoring based on its spectral characteristics, this study measured 33 groups of peach tree leaf reflectance spectra (350 to 1075 nm). Linear regression and backpropagation artificial neural network methods were used to establish peach tree leaf water content and perform quantitative analyses between spectral indices. The results show that a linear relationship existed between the peach tree leaf water content (relative water content and equivalent water thickness) and its leaf reflectance spectral index. The models performed satisfactorily and could be used to detect the water content of the peach tree leaves. © 2012 Academic Journals.


Chen X.,Northwest University, China | Han W.,Northwest University, China | Han W.,Chinese Ministry of Water Resources | Han W.,National Engineering Laboratory for Crop Water Efficient Use
African Journal of Biotechnology | Year: 2012

The use of Fourier transform near-infrared spectroscopy technology in the non-destructive measurement of kiwifruit soluble solids content was studied. In the region (4000 to 12000 cm -1), we used partial least squares to establish a mathematical model for the quantitative analysis of kiwifruit soluble solids content. We conducted a comparative analysis of the prediction models for samples with different quality levels from different orchards exposed to different storage periods. The results show a significant linear correlation between near-infrared spectroscopy and kiwifruit soluble solids content. The coefficient of determination R 2 was 93.65%, and the standard deviation of the root mean square error of prediction was 0.656 °Brix. © 2012 Academic Journals.


Wang Y.,Northwest University, China | Wang Y.,National Engineering Laboratory for Crop Water Efficient Use | Wang Y.,Utah State University | Wu P.,Northwest University, China | And 4 more authors.
Clean - Soil, Air, Water | Year: 2012

Planting structure influences the economic, social, and ecological benefits of crop farming as well as the use efficiency of water and arable land resources, and so crop planning (CP) benefits for agricultural sustainable development and soil resources utilization. The projection pursuit evaluation (PPE) model is put forward to solve the problem of selecting an optimizing scheme for CP by considering the indices of water-saving and economic, social, and ecological benefits. The real-coding-based accelerating genetic algorithm (RAGA) is introduced to accelerate the calculation process. The model can translate multi-indices into a single index by transforming high-dimensional data to low-dimensional space, which helps evaluate CP optimizing schemes. For example, the model is used to evaluate and select an optimal scheme of CP in the middle reaches of the Heihe mainstream basin in the arid area of northwest China. According to four criteria (high efficiency of resources use, economic rationality, social equity, and ecological security) 19 indices were chosen to evaluate 12 optimizing schemes of four kinds (economic-benefit, food-security, ecological-benefit, and water-saving programs) in 2006, 2020, and 2030. The result shows that, in the 3 years, the water-saving program is always the optimized scheme in an arid region with water deficiency and fragile ecology. The evaluated results match up to the developmental conditions of crop farming in recent years. Moreover, the direction of the optimal projection could reflect the weight and orientation of indices objectively and accurately. © 2012 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.


Wang Y.,Northwest University, China | Wang Y.,National Engineering Laboratory for Crop Water Efficient Use | Wang Y.,Utah State University | Wu P.,Northwest University, China | And 4 more authors.
Clean - Soil, Air, Water | Year: 2012

Establishing a water-saving planting structure is necessary for the arid, water-deficient regions of northern China and of the world. Optimizing and adjusting a water-saving agricultural planting structure is a typical semi-structured, multi-level, multi-objective group decision-making problem. Therefore, optimization can be best achieved with a swarm intelligence algorithm. We build an optimization model for a water-saving planting structure with four target functions: (1) maximum total net output, (2) total grain yield, (3) ecological benefits, and (4) water productivity. The decision variable is the yearly seeded area of different crops, and its restrictions are the farmland area, the agricultural water resources, and the needs of the people and other farming-related industries. Multiple objective particle swarm optimization (MOPSO) is an efficient optimization method, but its main shortcoming is that it can easily fall into a local optimum. Multiple objective chaos particle swarm optimization (MOCPSO) will greatly improve the searching performance of the algorithm by placing chaos technology with the advantages of ergodicity into MOPSO. When MOCPSO is used to solve the multi-objective optimization model in the middle portion of the Heihe River basin, the results show that MOCPSO has the advantages of a high convergence speed and a tendency not to fall easily into a local optimum. After adopting a water-saving agricultural planting structure, irrigation water would be reduced by about 7%, which would provide tangible economic, social, and ecological benefits for sustainable agricultural development. An optimization model for a water-saving planting structure with four target functions was built: maximum total net output, total grain yield, ecological benefits, and water productivity. It could be shown that MOPSO apparently had more horizontal lines than MOCPSO, indicating that MOPSO can more easily entangle with a partial extreme value. However, MOPSO is still not a fledged algorithm and needs to be further studied on its impact on optimization results for, e.g., times of chaos optimization, environmental factors, size of population, or dimension number of solution space. Copyright © 2012 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.


Han W.,Northwest University, China | Han W.,Chinese Ministry of Water Resources | Han W.,National Engineering Laboratory for Crop Water Efficient Use | Wu P.,Northwest University, China | And 2 more authors.
African Journal of Biotechnology | Year: 2011

The variable-rate contour-controlled sprinkler (VRCS) for precision irrigation can throw water on a given shaped area and the flow rate is also varied with the throw distance of the sprinkler for the purpose of high uniformity irrigation. Much of past research work were concentrated on the mechanical availability of variable-rate application and the design of VRCS main construction without considering the theoretical operation principles of VRCS. This study aimed to develop the mathematic models describing the relationship between hydraulic parameters of VRCS and these models will be the theoretical guidance for the design of VRCS. The hydraulic operational equation that describes the internal connection of flow rate, rotating speed and throw distance of VRCS was derived using mathematical theory of limitation and double integral. The derived operational equation indicates that the flow rate of VRCS is proportional to the product of rotating speed and square throw distance. The square wetted area sprinklers were used to illustrate the application of the operational equation of VRCS. The theoretical throw distance equation for the square wetted area sprinkler was built. With the operational equation and theoretical throw distance equation, the theoretical flow rate and rotating speed equations of the square wetted area sprinkler were derived. These results of this study provide fundamental principles for the design of VRCS. © 2011 Academic Journals.


Han W.,Northwest University, China | Han W.,Chinese Ministry of Water Resources | Han W.,National Engineering Laboratory for Crop Water Efficient Use | Wu P.,Northwest University, China | And 2 more authors.
African Journal of Biotechnology | Year: 2011

A new evaluation method with accompanying software was developed to precisely calculate uniformity from catch-can test data, assuming sprinkler distribution data to be a continuous variable. Two interpolation steps are required to compute unknown water application depths at grid distribution points from radial distribution of catch-cans' data: using both radial and peripheral interpolations. Interpolation by cubic splines was used to give more accurately interpolated values. This method has higher accuracy theoretically compared with conventional methods to analyze catch-can data. Water application depths were calculated at each grid point and uniformity coefficients were computed from the grid distribution maps of water application depths. This has value in assessing application uniformity of sprinkle irrigation designs. © 2011 Academic Journals.


Wang Y.,Northwest University, China | Wang Y.,National Engineering Laboratory for Crop Water Efficient Use | Wang Y.,Utah State University | Wu P.,Northwest University, China | And 4 more authors.
African Journal of Biotechnology | Year: 2010

Instituting water-saving crop planning (WSCP) is an effective way for the Heihe River basin to reverse its current growing scarcity of water resources and continuing environmental deterioration. However, because different areas of the river basin have different natural resources and diverse social and economic conditions, the planting structure for the region must be divided before the optimal adjustment of WSCP. The influencing factors for this division are chosen based on the analysis of the WSCP system. The appropriate indicators are selected from the overall influencing factors according to the existing hydro-meteorological, socio-economic and agricultural water conservancy conditions in each county in the river basin. Several unrelated main components that reflect most information from the original variables are extracted using factor analysis (FA) with the Statistical Package for the Social Sciences (SPSS) software and are then clustered using the K-means clustering algorithm (KMCA). Based on the clustering results, the basin is divided into six subzones: (1) Forage grass with dry farming, (2) grain and cash crops with rain-fed irrigation, (3) grain and cash crops with irrigation, (4) fruits and vegetables with irrigation, (5) cash crops with irrigation and (6) forage grass and cash crops with irrigation. Suitable development programs for each subzone were then drafted. This method avoids the overlap of related variables, reduces the difficulty of treatment and is convenient for indicator selection and information collection. © 2010 Academic Journals.

Loading National Engineering Laboratory for Crop Water Efficient Use collaborators
Loading National Engineering Laboratory for Crop Water Efficient Use collaborators