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Agricultural Water-Land-Plant System Engineering
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Agricultural Water-Land-Plant System Engineering

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Water, Agriculture and Aquaculture".

Deadline for manuscript submissions: 20 February 2025 | Viewed by 2161

Special Issue Editors

Prof. Dr. Haijun Liu

E-Mail Website
Guest Editor
College of Water Sciences, Beijing Normal University, Beijing, China
Interests: water saving and efficient utilization of water resources in agriculture; sprinkler and surface irrigation technology; fertigation scheduling; SPAC system modeling
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Haijun Yan

E-Mail Website
Guest Editor
College of Water Resources and Civil Engineering, China Agricultural University, Beijing 100083, China
Interests: irrigation performance evaluation; irrigation systems management; variable rate irrigation; smart irrigation; fertilization; new technology and equipment
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The world is facing the enormous challenge of increasing our food production capacity by 55% by 2050 to meet the needs of an estimated 9.7 billion people. However, under the influence of climate change, water shortage and soil degradation, the vulnerability of agricultural production has increased. In order to promote food production, the agricultural production system of water use, land conditions and crop growth should be taken into account together. Rational regulation and control methods for soil, water, fertilizer, salt, heat and crop systems should be studied and then adopted to achieve efficient food production and the sustainable use of agricultural resources.

The Special Issue focuses on the latest research results in systems engineering for agricultural water–land condition–crop growth, including the regulation mechanism of crop water, fertilizer, salt, heat and microclimate, water-saving irrigation, agronomic technologies and modes, comprehensive observation and simulation technology of farmland ecosystems, and agricultural production management modes to cope with climate change. We welcome original research papers, review articles and short notes.

Prof. Dr. Haijun Liu
Prof. Dr. Haijun Yan
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Water is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • plant–water–land nexus
  • agricultural production vulnerability
  • soil–water–salt–nutrient–heat–crop system modelling
  • comprehensive observation means
  • water-saving irrigation
  • climate change
  • smart irrigation
  • irrigation systems management

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Published Papers (2 papers)

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Research

17 pages, 2917 KiB  
Article
Sensitivity and Uncertainty Analysis of the GeeSEBAL Model Using High-Resolution Remote-Sensing Data and Global Flux Site Data
by Shunjun Hu, Changyan Tian and Ping Jiao
Water 2024, 16(20), 2978; https://doi.org/10.3390/w16202978 - 18 Oct 2024
Viewed by 584
Abstract
Actual evapotranspiration (ETa) is an important component of the surface water cycle. The geeSEBAL model is increasingly being used to estimate ETa using high-resolution remote-sensing data (Landsat 4/5/7/8). However, due to surface heterogeneity, there is significant uncertainty. By optimizing [...] Read more.
Actual evapotranspiration (ETa) is an important component of the surface water cycle. The geeSEBAL model is increasingly being used to estimate ETa using high-resolution remote-sensing data (Landsat 4/5/7/8). However, due to surface heterogeneity, there is significant uncertainty. By optimizing the quantile values of the reverse-modelling automatic calibration algorithm (CIMEC) endpoint-component selection algorithm under extreme conditions through 212 global flux sites, we obtained the optimized quantile values of 11 vegetation types of cold- and hot-pixel endpoint components (Ts and NDVI). Based on the observation data of the global FLUXNET tower, the sensitivity of 20 parameters in the improved geeSEBAL model was determined through Sobol’s sensitivity analysis. Among them, the parameters dT and SAVI,hot were confirmed as the most sensitive parameters of the algorithm. Subsequently, we used the differential evolution Markov chain (DE-MC) method to analyse the uncertainty of the parameters in the geeSEBAL model used the posterior distribution of the parameters to modify the sensitive parameter values or ranges in the improved geeSEBAL model and to simulate the daily ETa. The results indicate that by analysing the end element components of the geeSEBAL model (Ts and NDVI), quantile numerical optimization and parameter optimization can be performed. Compared with the original algorithm, the improved geeSEBAL model has significantly improved simulation performance, as shown by higher R2 values, higher NSE values, smaller bias values, and lower RMSE values. The most suitable values of the predefined parameter Zoh were determined, and the reanalysis of meteorological data inputs (relative humidity (RH), temperature (T), wind speed (WS), and net radiation (Rn)) was also found to be an important source of uncertainty for the accurate estimation of ETa. This study indicates that optimizing the quantiles and key parameters of the model end component has certain potential for further improving the accuracy of the geeSEBAL model based on high-resolution remote-sensing data in estimating the ETa for various vegetation types. Full article
(This article belongs to the Special Issue Agricultural Water-Land-Plant System Engineering)
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23 pages, 1613 KiB  
Article
Enhancing Soil Conditions and Maize Yield Efficiency through Rational Conservation Tillage in Aeolian Semi-Arid Regions: A TOPSIS Analysis
by Zijian Cong, Jian Gu, Chunqian Li, Fei Li and Fengming Li
Water 2024, 16(16), 2228; https://doi.org/10.3390/w16162228 - 7 Aug 2024
Viewed by 1054
Abstract
Conservation tillage technology possesses substantial potential to enhance agricultural production efficiency and tackle issues such as wind erosion and land degradation in semi-arid regions. The integration of no-tillage and straw mulching technologies in the conventional aeolian semi-arid agricultural zones of western Liaoning, China, [...] Read more.
Conservation tillage technology possesses substantial potential to enhance agricultural production efficiency and tackle issues such as wind erosion and land degradation in semi-arid regions. The integration of no-tillage and straw mulching technologies in the conventional aeolian semi-arid agricultural zones of western Liaoning, China, has led to notable improvements in crop yield and soil quality. However, a comprehensive assessment of the mechanisms and kinetics involved in soil nutrient variations is yet to be conducted. During a two-year study period, we assessed four tillage systems in the aeolian semi-arid regions of Northern China: no-tillage with full straw mulching (NTFS), no-tillage with half straw mulching (NTHS), no-tillage without straw mulching (NT), and conventional tillage (CT). The investigation focused on examining nutrient conditions, enhancing photosynthetic activity, and increasing maize yield while improving water use efficiency (WUE). Our findings emphasize the beneficial impact of combining no-tillage and straw mulching on enhancing soil water retention, resulting in a notable rise in soil moisture levels during the crucial growth phases of maize. This approach also positively influenced soil nutrient levels, particularly in the 0–20 cm layer, fostering an environment conducive to maize cultivation. In terms of ecological benefits, no-tillage with straw mulching curtailed soil sediment transport and wind erosion, notably at 30–40 cm heights, aiding in the ecological protection of the region. The yield and WUE were substantially higher under NTFS and NTHS than under CT, with NTHS demonstrating the most significant gains in yield (14.5% to 16.6%) and WUE (18.3% to 21.7%) throughout the study period. A TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) analysis confirmed NTHS as the optimal treatment, achieving the highest scores for soil water, nutrient availability, wind erosion control, maize photosynthesis, yield, and WUE, thus emerging as the most effective conservation tillage strategy for sustainable agriculture in aeolian semi-arid regions. Full article
(This article belongs to the Special Issue Agricultural Water-Land-Plant System Engineering)
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