Article
Environmental Sciences
Imran Sajid, Bernhard Tischbein, Christian Borgemeister, Martina Floerke
Summary: Century-old infrastructure causes substantial water loss and triggers groundwater abstractions, leading to low irrigation efficiency. The study suggests prioritizing improvements to field water application rather than canals with better water quality, and storing surplus water from the Mungi canal for later use in November and December.
Article
Green & Sustainable Science & Technology
Shan Zhou, Tiesong Hu, Rui Zhu, Jiesheng Huang, Laiyin Shen
Summary: A proposed canal scheduling model, focusing on the ultimate objectives of the irrigation system, aims to optimize water delivery schedule by simulating soil water and salt migration, providing suitable soil moisture content and salinity for crops. Compared to traditional models, the new model shows superior performance in irrigation efficiency and lower risk of canal overload, attributed to its adaptability to spatial diversity of soil properties and temporal variability in agrometeorological conditions.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Green & Sustainable Science & Technology
Chen Bai, Lixiao Yao, Cheng Wang, Yongxuan Zhao, Weien Peng
Summary: Water and energy consumption in cascade pump station irrigation districts (CPSIDs) can be optimized to achieve water and energy savings, increase income, and protect the ecological environment. Adjusting crop planting structures and developing drip irrigation can change the spatial patterns and achieve optimal results.
Article
Environmental Sciences
Qurat-ul-Ain Ahmad, Eddy Moors, Hester Biemans, Nuzba Shaheen, Ilyas Masih, Muhammad Zia Ur Rahman Hashmi
Summary: This study investigates the changes in irrigation water demand and supply for wheat and rice in South Asia's major river basins, showing the importance of crop water assessments during sensitive growth phases. The findings highlight the impact of climate change and socio-economic development on irrigation demand and supply, emphasizing the need for improved crop-water management strategies and adaptation practices.
Article
Engineering, Electrical & Electronic
Faruk Bin Poyen, Sayan Hazra, Nabarun Sengupta, Snehashish Banerjee
Summary: Water wastage is a serious issue in irrigation, but it can be eliminated by using a well-structured fuzzy rule base. Poyen's fuzzy logic controlled automatic irrigation system efficiently manages water requirements by considering evapotranspiration loss and cultivating conditions. The system consists of a wireless sensor network and an information processing module, which work together to ensure the field receives the optimum volume of water. Field testing and simulation output show promising improvements in water management and crop yield.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Environmental Sciences
Xiaojie Li, Yongqiang Zhang, Ning Ma, Xuanze Zhang, Jing Tian, Lu Zhang, Tim R. Mcvicar, Enli Wang, Junzeng Xu
Summary: In the past two decades, crop production and agricultural water consumption have significantly increased in northern China, while the increase in southern China is relatively small. The increasing irrigation demand in northern China is reducing the availability of stored water and cannot be met by agricultural water supply in the future decades. The conflict between limited agricultural water supply and increasing irrigation demand cannot be resolved by the South-to-North Water Diversion Project, and better management in water resources and crop production is needed.
Article
Environmental Sciences
Gopal Chandra Paul, Sunil Saha
Summary: The supply of water plays a crucial role in regional crop production and food security. The CropWRA model is introduced to assess the satisfaction level of crop water requirements and promote sustainable water management in agriculture. By considering various factors such as DEM, hydrological and climatic data, and crop properties, the model calculates indices related to crop combination, water availability, and accessibility in the Bansloi River basin. Advanced machine learning algorithms are used to calculate the crop water satisfied degree and requirement by incorporating variables like atmospheric conditions, Landsat indices, and energy balance components for soil moisture estimation. The average crop water demand is 1.92 m, with a range of 1.58 to 2.26 m. The CropWSD varies from 17% to 116% due to variations in topography, river system, crop combination, land use, and water utilization. The average crop water satisfied degree is 59%, with 71% of the total area falling between 40% and 60% CropWSD level. The CropWRA model can be applied for sustainable water resource management, irrigation infrastructure development, and utilization of modern technologies.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Agronomy
Tibin Zhang, Yufeng Zou, Isaya Kisekka, Asim Biswas, Huanjie Cai
Summary: The study shows that different irrigation methods and levels significantly affect maize yield, water consumption, and economic benefits. In the study, drip irrigation at -30 kPa is recommended as a priority to replace border irrigation, as it can increase yield, reduce water usage, and achieve higher net profit.
AGRICULTURAL WATER MANAGEMENT
(2021)
Article
Agronomy
Xiaolin Yang, Xinnan Jin, Qingquan Chu, Steven Pacenka, Tammo S. Steenhuis
Summary: This study examined the trends and spatial distributions of cotton evapotranspiration and irrigation requirements in the North China Plain using historical climate data. The results showed a significant decrease in cotton evapotranspiration over the past five decades, with changes in effective rainfall and irrigation demands. Irrigation contributed 25% of cotton evapotranspiration, highlighting the impact of climate change on water requirements for cotton irrigation scheduling.
AGRICULTURAL WATER MANAGEMENT
(2021)
Article
Environmental Sciences
Sadiya B. Tijjani, Subhasis Giri, Sean A. Woznicki
Summary: Climate change has significant impacts on irrigated agriculture and global food security. A study conducted in southern New Jersey evaluated the effects of climate change on irrigation demand, green water scarcity, and crop yields. The results showed that increased temperature and precipitation led to increased surface runoff and total streamflow. The study also found that corn yield, irrigation demand, and ET varied in response to climate change, while soybean exhibited a declining trend in ET and irrigation demand with increasing yield.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Environmental Sciences
Yuliang Zhang, Zhiyong Wu, Vijay P. Singh, Juliang Jin, Yuliang Zhou, Shiqin Xu, Lei Li
Summary: The study proposed an agricultural drought assessment method by coupling hydrological and crop models, which was validated in Jiangsu Province, China. The results showed that the simulation results of the VIC-EPIC model were highly reasonable and the temporal and spatial variation characteristics of drought grade in typical large-scale drought events in Jiangsu Province were also analyzed.
Article
Agriculture, Multidisciplinary
Yu Fan, Haorui Chen, Zhanyi Gao, Xiaomin Chang
Summary: This paper focuses on the optimization of canal water distribution in irrigation areas. Three optimal models are proposed to improve water distribution efficiency and maximize the benefits of water resources.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2023)
Article
Agronomy
Soumitra Nath
Summary: Precision agriculture (PA) is a sustainable approach to agriculture that aims to balance productivity and environmental stewardship. It utilizes advanced technologies such as IoT, GPS, GIS, sensors, drones, and machine learning to enable more efficient and precise farming techniques. PA also has the potential to address climate change through mitigation and adaptation. The future of sustainable PA lies in technological innovation, sustainable farming practices, data analytics, and policy interventions.
Review
Environmental Sciences
Bhumika Uniyal, Jorg Dietrich
Summary: The study emphasizes the importance of quantifying irrigation water demand for sustainable agriculture. It discusses the use of agricultural models for simulation and calculation, highlighting the adjustability of models to reflect field management practices accurately. The review also touches on the significance of considering horizontal hydrological connectivity in irrigation scheduling and water extraction.
WATER RESOURCES RESEARCH
(2021)
Article
Biology
Mahwish Jabeen, Sajid Rashid Ahmed, Mukhtar Ahmed
Summary: The lack of good irrigation practices and policy reforms in Pakistan poses significant threats to water and food security. This research examined the wheat grain yield and water use efficiency under limited irrigation practices in arid and semi-arid regions. The findings showed that reducing irrigation levels can enhance wheat growth and water use efficiency.
SAUDI JOURNAL OF BIOLOGICAL SCIENCES
(2022)
Article
Green & Sustainable Science & Technology
Lars odegaard Bentsen, Narada Dilp Warakagoda, Roy Stenbro, Paal Engelstad
Summary: This study investigates uncertainty modeling in wind power forecasting using different parametric and non-parametric methods. Johnson's SU distribution is found to outperform Gaussian distributions in predicting wind power. This research contributes to the literature by introducing Johnson's SU distribution as a candidate for probabilistic wind forecasting.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Xing Liu, Qiuchen Wang, Yunhao Wen, Long Li, Xinfang Zhang, Yi Wang
Summary: This study analyzes the characteristics of process parameters in three lean gas ethane recovery processes and establishes a prediction and multiobjective optimization model for ethane recovery and system energy consumption. A new method for comparing ethane recovery processes for lean gas is proposed, and the addition of extra coolers improves the ethane recovery. The support vector regression model based on grey wolf optimization demonstrates the highest prediction accuracy, and the multiobjective multiverse optimization algorithm shows the best optimization performance and diversity in the solutions.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Cairong Song, Haidong Yang, Xian-Bing Meng, Pan Yang, Jianyang Cai, Hao Bao, Kangkang Xu
Summary: The paper proposes a novel deep learning-based prediction framework, aTCN-LSTM, for accurate cooling load predictions. The framework utilizes a gate-controlled multi-head temporal convolutional network and a sparse probabilistic self-attention mechanism with a bidirectional long short-term memory network to capture both temporal and long-term dependencies in the cooling load sequences. Experimental results demonstrate the effectiveness and superiority of the proposed method, which can serve as an effective guide for HVAC chiller scheduling and demand management initiatives.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Zhe Chen, Xiaojing Li, Xianli Xia, Jizhou Zhang
Summary: This study uses survey data from the Loess Plateau in China to evaluate the impact of social interaction on the adoption of soil and water conservation (SWC) technology by farmers. The study finds that social interaction increases the likelihood of farmers adopting SWC, and internet use moderates this effect. The positive impact of social interaction on SWC adoption is more pronounced for farmers in larger villages and those who join cooperative societies.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Chenghua Zhang, Yunfei Yan, Kaiming Shen, Zongguo Xue, Jingxiang You, Yonghong Wu, Ziqiang He
Summary: This paper reports a novel method that significantly improves combustion performance, including heat transfer enhancement under steady-state conditions and adaptive stable flame regulation under velocity sudden increase.
JOURNAL OF CLEANER PRODUCTION
(2024)