Comprehensive evaluation of agricultural water-saving technology based on AHP and Rough Set method

2012 ◽  
Vol 32 (3) ◽  
pp. 931-941 ◽  
Author(s):  
翟治芬 ZHAI Zhifen ◽  
王兰英 WANG Lanying ◽  
孙敏章 SUN Minzhang ◽  
严昌荣 YAN Changrong ◽  
梁瑜珊 LIANG Yushan
Keyword(s):  
Rough Set ◽  
Comprehensive Evaluation ◽  
Water Saving ◽  
Agricultural Water

scholarly journals Mulching as water-saving technique in dryland agriculture: review article

2019 ◽  
Vol 43 (1) ◽  
Author(s):  
Mohammad Abdul Kader ◽  
Ashutus Singha ◽  
Mili Amena Begum ◽  
Arif Jewel ◽  
Ferdous Hossain Khan ◽  
...  
Keyword(s):  
Arid Regions ◽  
Review Article ◽  
Water Saving ◽  
Future Research ◽  
Agricultural Water ◽  
Plastic Mulch ◽  
Dryland Agriculture ◽  
Crop Cultivation ◽  
Agricultural Water Resources ◽  
Semi Arid

Abstract Agricultural water resources have been limited over the years due to global warming and irregular rainfall in the arid and semi-arid regions. To mitigate the water stress in agriculture, mulching has a crucial impact as a water-saving technique in rain-fed crop cultivation. It is important mainly for preserving soil moisture, relegating soil temperature, and limiting soil evaporation, which affects the crop yield. Mulching has many strategic effects on soil ecosystem, crop growth, and climate. Mulch insulates the soil, helping to provide a buffer from cold and hot temperatures that have a crucial activity in creating beautiful and protected landscapes. This study has accumulated a series of information about both organic and plastic mulch materials and its applicability on crop cultivation. Moreover, future research potentials of mulching with modeling were discussed to quantify water loss in agriculture.

Exploring Northwest China's agricultural water-saving strategy: analysis of water use efficiency based on an SE-DEA model conducted in Xi'an, Shaanxi Province

2016 ◽  
Vol 74 (5) ◽  
pp. 1106-1115 ◽  
Author(s):  
L. Mu ◽  
L. Fang ◽  
H. Wang ◽  
L. Chen ◽  
Y. Yang ◽  
...  
Keyword(s):  
Water Resources ◽  
Water Use Efficiency ◽  
Water Use ◽  
Water Demand ◽  
Water Governance ◽  
Northwest China ◽  
Water Saving ◽  
Shaanxi Province ◽  
Agricultural Water ◽  
Use Efficiency

Worldwide, water scarcity threatens delivery of water to urban centers. Increasing water use efficiency (WUE) is often recommended to reduce water demand, especially in water-scarce areas. In this paper, agricultural water use efficiency (AWUE) is examined using the super-efficient data envelopment analysis (DEA) approach in Xi'an in Northwest China at a temporal and spatial level. The grey systems analysis technique was then adopted to identify the factors that influenced the efficiency differentials under the shortage of water resources. From the perspective of temporal scales, the AWUE increased year by year during 2004–2012, and the highest (2.05) was obtained in 2009. Additionally, the AWUE was the best in the urban area at the spatial scale. Moreover, the key influencing factors of the AWUE are the financial situations and agricultural water-saving technology. Finally, we identified several knowledge gaps and proposed water-saving strategies for increasing AWUE and reducing its water demand by: (1) improving irrigation practices (timing and amounts) based on compatible water-saving techniques; (2) maximizing regional WUE by managing water resources and allocation at regional scales as well as enhancing coordination among Chinese water governance institutes.

scholarly journals Evaluation of Water-Storage and Water-Saving Potential for Paddy Fields in Gaoyou, China

Water ◽  
2018 ◽  
Vol 10 (9) ◽  
pp. 1176 ◽  
Author(s):  
Chuanjuan Wang ◽  
Shaoli Wang ◽  
Haorui Chen ◽  
Jiandong Wang ◽  
Yuan Tao ◽  
...  
Keyword(s):  
Southern China ◽  
Financial Burden ◽  
Water Shortage ◽  
Water Saving ◽  
Paddy Fields ◽  
Balance Model ◽  
Agricultural Water ◽  
Average Water ◽  
Agricultural Water Resources ◽  
Water Fee

In China, the stress on agricultural water resources is becoming increasingly severe. In response, a range of water-saving irrigation (WSI) policies and practices have been promoted to improve irrigation efficiency. In this study, a water-balance model in paddy fields was calibrated and validated using a 2-year field experimental dataset collected from an irrigated area in Gaoyou, China, in 2014–2015. The model was used to assess the effects of WSI practices and provides options for implementing water-price reforms. Results show that paddy fields effectively retain rainfall with utilization rates greater than 70% for both shallow wet irrigation (SWI) and shallow humidity-regulated irrigation (SHRI) scenarios. The estimated average water-saving rates from 1960 to 2015 using SWI and SHRI are 33.7% and 43%, respectively, which represent considerable reductions in water consumption. The benefits of WSI practices combined with water management policies are also evident. For example, conversion of irrigation water to industrial water yields a 3-year average water fee of 205.2 yuan/ha using SWI and 20.6 yuan/ha using SHRI, considerably reducing farmers’ financial burden for agricultural water supplies. In conclusion, we recommend the adoption of SWI and SHRI practices in southern China as a means of partially alleviating China’s water-shortage problem.

Comprehensive evaluation of urban water saving based on AHP-TOPSIS

2021 ◽  
Vol 213 ◽  
pp. 202-213
Author(s):  
Xianqi Zhang ◽  
Tianyi Liang
Keyword(s):  
Comprehensive Evaluation ◽  
Water Saving ◽  
Urban Water

scholarly journals Study on Development Sustainability of Atmospheric Environment in Northeast China by Rough Set and Entropy Weight Method

2019 ◽  
Vol 11 (14) ◽  
pp. 3793 ◽  
Author(s):  
Yuangang Li ◽  
Maohua Sun ◽  
Guanghui Yuan ◽  
Qi Zhou ◽  
Jinyue Liu
Keyword(s):  
Rough Set ◽  
Northeast China ◽  
Evaluation System ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Atmospheric Environment ◽  
Entropy Weight ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Environment Sustainability

In order to evaluate the atmospheric environment sustainability in the provinces of Northeast China, this paper has constructed a comprehensive evaluation model based on the rough set and entropy weight methods. This paper first constructs a Pressure-State-Response (PSR) model with a pressure layer, state layer and response layer, as well as an atmospheric environment evaluation system consisting of 17 indicators. Then, this paper obtains the weight of different indicators by using the rough set method and conducts equal-width discrete analysis and clustering analysis by using SPSS software. This paper has found that different discrete methods will end up with different reduction sets and multiple indicators sharing the same weight. Therefore, this paper has further introduced the entropy weight method based on the weight solution determined by rough sets and solved the attribute reduction sets of different layers by using the Rosetta software. Finally, this paper has further proved the rationality of this evaluation model for atmospheric environment sustainability by comparing the results with those of the entropy weight method alone and those of the rough set method alone. The results show that the sustainability level of the atmospheric environment in Northeast China provinces has first improved, and then worsened, with the atmospheric environment sustainability level reaching the highest level of 0.9275 in 2014, while dropping to the lowest level of 0.6027 in 2017. Therefore, future efforts should focus on reducing the pressure layer and expanding the response layer. Based on analysis of the above evaluation results, this paper has further offered recommendations and solutions for the improvement of atmospheric environment sustainability in the three provinces of Northeast China.

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