scholarly journals Study on Health Evaluation of an Ecological Irrigation District in Helan County, China

Water ◽  
2021 ◽  
Vol 13 (23) ◽  
pp. 3325
Author(s):  
Qian Zhang ◽  
Yanfang Diao ◽  
Guiyu Yang ◽  
Zhigong Peng ◽  
Gang Wang ◽  
...  
Keyword(s):  
Irrigation Water ◽  
Evaluation Method ◽  
Salt Content ◽  
Water Saving ◽  
Irrigation District ◽  
Health Evaluation ◽  
Ecological Health ◽  
Soil Salt Content ◽  
Irrigation Districts ◽  
Combined Evaluation

The construction of ecological irrigation districts is of great significance to protect the Yellow River ecology and achieve sustainable development of the local ecological economy. Taking the ecological irrigation district of Helan County as the study area, a health evaluation index system of the irrigation district was established, including three primary indexes of ecological environment, modernization level, and agricultural production and benefit, and 20 secondary indexes. Then, the Topsis method, entropy weight evaluation method, fuzzy pattern recognition model, and variable fuzzy model were used to evaluate the health of the Helan ecological irrigation district. In order to avoid the one-sidedness of the evaluation results of a single evaluation method, a combined evaluation method named deviation maximization combined evaluation method was used to combine each single evaluation result. The evaluation results by the combined evaluation method showed the following: (1) The ecological health of Helan irrigation district had a trend of becoming better from 2007 to 2016. (2) The grey correlation analysis showed that the soil salt content, groundwater depth, canal lining rate, ratio of efficient water-saving irrigation area, information level of the irrigation district, water productivity, agricultural unilateral aquatic output value, irrigation water consumption per mu, and coefficient of effective utilization of farmland irrigation water were closely related to the evaluation results. (3) In order to effectively improve the ecological health of Helan irrigation districts, it is necessary to reduce soil salt content and groundwater salinity, increase canal linings, promote water-saving irrigation measures, and agricultural information construction, etc.

scholarly journals Study on Double-Level Allocation of Irrigation Water Rights

2021 ◽  
Author(s):  
Xinjian Guan ◽  
Qiongying Du ◽  
Wenge Zhang ◽  
Baoyong Wang
Keyword(s):  
Water Resources ◽  
Water Consumption ◽  
Optimal Allocation ◽  
Water Rights ◽  
Scientific Basis ◽  
Water Saving ◽  
Irrigation District ◽  
Allocation Model ◽  
Irrigation Area ◽  
Irrigation Districts

Abstract Establishing and perfecting the water rights system is an important way to alleviate the shortage of water resources and realize the optimal allocation of water resources. Agriculture is an important user of water in various water-consumption industries, the confirmation of water rights in irrigation districts to farmers is the inevitable requirement for implementing fine irrigation in agricultural production. In this paper, a double-level water rights allocation model of national canals – farmer households in irrigation district is established. It takes into account the current water consumption of the canal system, the future water-saving potential and the constraint of total amount control at the canal level. It takes into account the asymmetric information of farmer households’ population and irrigation area at the farmer household level. Furthermore, the Gini coefficient method is used to construct the water rights allocation model among farmer households based on the principle of fairness. Finally, Wulanbuhe Irrigation Area in the Hetao Irrigation Area of Inner Mongolia is taken as an example. The results show that the allocated water rights of the national canals in the irrigation district are less than the current because of water-saving measures and water rights of farmer household get compensation or cut respectively. The research has fully tapped the water-saving potential of irrigation districts, refined the distribution of water rights of farmers and can provide a scientific basis for the development of water rights allocation in irrigation districts and water rights transactions between farmers.

Functions of Cotton Yield Response to Soil Salinity in Akesu River Irrigation District

2012 ◽  
Vol 535-537 ◽  
pp. 486-494
Author(s):  
Yu Zhang ◽  
Pei Tong Cong ◽  
Shun Jun Hu ◽  
Li Hong Wang ◽  
Feng Qing Guo ◽  
...  
Keyword(s):  
Salt Tolerance ◽  
Salt Content ◽  
Soil Layer ◽  
Relative Yield ◽  
Irrigation District ◽  
Yield Response ◽  
Yield Reduction ◽  
Soil Salt Content ◽  
Soil Salt ◽  
Salinized Soil

Based on experimental data from the five observation points during the three years, the linear subsected functions and the nonlinear s-shaped functions between the cotton relative yield and soil salt content on the salinized soil about the 0-20cm soil layer and the 0-40cm soil layer in Akesu River Irrigation District were constructed by linear regression and nonlinear least square approximation. Their applicabilities were analyzed and compared and it was found the nonlinear s-shaped function of the 0-20cm soil layer to fit better with the response relationship between the cotton relative yield and the soil salt content on the salinity soil than others in Akesu River Irrigation District.which and the indexes of cotton salt tolerance were definited, and then the indexes of cotton salt tolerance were drawn on with the function with better applicability. From the function, some indexes of salt tolerance，which contained the cotton critical soil salt content, the cotton threshold soil salt content, the soil salt content at the fastest rate of cotton relative yield reduction, and the soil salt content at the 50% cotton relative yield reduction, and so on, were determined, which can be provide as the important references for the agricultural planting, improvement of salinized soil and irrigation with saline water in Akesu River Irrigation District.

scholarly journals Hyperspectral reflectance models for soil salt content by filtering methods and waveband selection

2016 ◽  
Vol 23 (1) ◽  
pp. 117-130 ◽  
Author(s):  
Wen-Zhi Zeng ◽  
Jie-Sheng Huang ◽  
Chi Xu ◽  
Tao Ma ◽  
Jing-Wei Wu
Keyword(s):  
Salt Content ◽  
Partial Least Square ◽  
Least Square ◽  
Partial Least Square Regression ◽  
Irrigation District ◽  
Hyperspectral Reflectance ◽  
Soil Salt Content ◽  
Soil Salt ◽  
Orthogonal Signal Correction ◽  
Signal Correction

Abstract For improving the understanding of interactions between hyperspectral reflectance and soil salinity, in situ hyperspectral inversion of soil salt content at a depth of 0-10 cm was conducted in Hetao Irrigation District, Inner Mongolia, China. Six filtering methods were used to preprocess soil reflectance data, and waveband selection combined by VIP (variable importance in projection) and b-coefficients (regression coefficients of model) was also applied to simplify model. Then statistical methods of partial least square regression (PLS) and orthogonal projection to latent structures (OPLS) were processed to establish the inversion models. Our findings indicate that the selected sensitive wavebands for the 6 filtering methods are different, among which the multiplicative signal correction (MSC) and standard normal variate methods (SNV) have some similar sensitive wavebands with unfiltered data. Derivatives (DF1 and DF2) could characterize sensitive wavebands along the scale of VNIR (350-1100 nm), especially the second derivative (DF2). The sensitive wavebands for continuum-removed reflectance method (CR) have protruded many narrow absorption features. For orthogonal signal correction method (OSC), the selected wavebands are centralized in the range of 565-1013 nm. The calibration and evaluation processes have demonstrated the second order derivate filtering method (DF2) combined with waveband selection is superior to other processes, for it has high R2 (larger than 0.7) both in PLS and OPLS models for calibration and evaluation, by choosing only 156 wavebands from the whole 700 wavebands. Meanwhile, OPLS method was considered to be more suitable for the analyzing than PLS in most of our situations.

Analysis on the influencing factors of effective utilization coefficient of irrigation water in irrigation districts based on Horton fractal theory

2019 ◽  
Vol 19 (6) ◽  
pp. 1695-1703
Author(s):  
Dong Liu ◽  
Dandan Guo ◽  
Qiang Fu ◽  
Mo Li ◽  
Chunlei Liu ◽  
...  
Keyword(s):  
Irrigation Water ◽  
Fractal Theory ◽  
Fractal Dimensions ◽  
System Structure ◽  
Irrigation District ◽  
Gray Relational Analysis ◽  
Effective Utilization ◽  
Irrigation Districts ◽  
Utilization Coefficient ◽  
The Relationship

Abstract To study the relationship between the effective utilization coefficient of irrigation water and canal system structure including the influences of various factors in irrigation districts, the fractal dimensions of each irrigation district by Horton's law were calculated by using canal data from 20 typical irrigation districts in Heilongjiang Province. The results showed that the fractal dimensions of the three-level irrigation districts were within the general range of the Horton water law. Of the four-level irrigation districts, only the fractal dimension of the Wutong River irrigation district was 3.037, which was beyond the upper limit of approximately 1.23%. Using gray relational analysis, the correlation degrees of four factors such as the effective irrigated area, the water-saving area ratio, the complexity of the canal structure, the channel density with the effective utilization coefficient of irrigation water and the fractal dimensions were all above 0.5 in the three- and four-level irrigation districts.

scholarly journals The relationship between irrigation water demand and drought in the Yellow River basin

2016 ◽  
Vol 374 ◽  
pp. 129-136 ◽  
Author(s):  
Yu Wang ◽  
Weihao Wang ◽  
Shaoming Peng ◽  
Guiqin Jiang ◽  
Jian Wu
Keyword(s):  
River Basin ◽  
Irrigation Water ◽  
Water Demand ◽  
Yellow River ◽  
Yellow River Basin ◽  
Irrigation District ◽  
The Yellow River ◽  
Irrigation Water Demand ◽  
Irrigation Districts ◽  
The Yellow River Basin

Abstract. In order to organize water for drought resistance reasonably, we need to study the relationship between irrigation water demand and meteorological drought in quantitative way. We chose five typical irrigation districts including the Qingtongxia irrigation district, Yellow River irrigation districts of Inner Mongolia in the upper reaches of the Yellow River, the Fen river irrigation district and the Wei river irrigation district in the middle reaches of the Yellow River and the irrigation districts in the lower reaches of the Yellow River as research area. Based on the hydrology, meteorology, groundwater and crop parameters materials from 1956 to 2010 in the Yellow River basin, we selected reconnaissance drought index (RDI) to analyze occurrence and evolution regularity of drought in the five typical irrigation districts, and calculated the corresponding irrigation water demand by using crop water balance equation. The relationship of drought and irrigation water demand in each typical irrigation district was studied by using grey correlation analysis and relevant analysis method, and the quantitative relationship between irrigation water demand and RDI was established in each typical irrigation district. The results showed that the RDI can be applied to evaluate the meteorological drought in the typical irrigation districts of the Yellow River basin. There is significant correlation between the irrigation water demand and RDI, and the grey correlation degree and correlation coefficient increased with increasing crops available effective rainfall. The irrigation water demand of irrigation districts in the upstream, middle and downstream of the Yellow River basin presented different response degrees to drought. The irrigation water demand increased 105 million m3 with the drought increasing one grade (RDI decreasing 0.5) in the Qingtongxia irrigation district and Yellow River irrigation districts of Inner Mongolia. The irrigation water demand increased 219 million m3 with the drought increasing one grade in the Fen river irrigation district and Wei river irrigation district. The irrigation water demand increased 622 million m3 with the drought increasing one grade in the downstream of Yellow River irrigation districts.

scholarly journals Afforestation of Degraded Croplands as a Water-Saving Option in Irrigated Region of the Aral Sea Basin

Water ◽  
2021 ◽  
Vol 13 (10) ◽  
pp. 1433
Author(s):  
Navneet Kumar ◽  
Asia Khamzina ◽  
Patrick Knöfel ◽  
John P. A. Lamers ◽  
Bernhard Tischbein
Keyword(s):  
Land Use ◽  
Water Balance ◽  
Water Supply ◽  
Water Availability ◽  
Irrigation Water ◽  
Water Saving ◽  
Aral Sea ◽  
Water Balance Components ◽  
Study Region ◽  
Trade Offs

Climate change is likely to decrease surface water availability in Central Asia, thereby necessitating land use adaptations in irrigated regions. The introduction of trees to marginally productive croplands with shallow groundwater was suggested for irrigation water-saving and improving the land’s productivity. Considering the possible trade-offs with water availability in large-scale afforestation, our study predicted the impacts on water balance components in the lower reaches of the Amudarya River to facilitate afforestation planning using the Soil and Water Assessment Tool (SWAT). The land-use scenarios used for modeling analysis considered the afforestation of 62% and 100% of marginally productive croplands under average and low irrigation water supply identified from historical land-use maps. The results indicate a dramatic decrease in the examined water balance components in all afforestation scenarios based largely on the reduced irrigation demand of trees compared to the main crops. Specifically, replacing current crops (mostly cotton) with trees on all marginal land (approximately 663 km2) in the study region with an average water availability would save 1037 mln m3 of gross irrigation input within the study region and lower the annual drainage discharge by 504 mln m3. These effects have a considerable potential to support irrigation water management and enhance drainage functions in adapting to future water supply limitations.

scholarly journals A unique vadose zone model for shallow aquifers: the Hetao irrigation district, China

2019 ◽  
Vol 23 (7) ◽  
pp. 3097-3115 ◽  
Author(s):  
Zhongyi Liu ◽  
Xingwang Wang ◽  
Zailin Huo ◽  
Tammo Siert Steenhuis
Keyword(s):  
Field Experiment ◽  
Irrigation Water ◽  
Yellow River ◽  
Shallow Groundwater ◽  
Groundwater Table ◽  
Irrigation District ◽  
Zone Model ◽  
Calibration And Validation ◽  
Irrigation Water Use ◽  
Hetao Irrigation District

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.

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