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Agricultural Water Management
Elsevier
Agricultural Water Management

Elsevier

0378-3774

Agricultural Water Management/Journal Agricultural Water ManagementSCIISTPEI
正式出版
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    Reinventing the wheel - The preservation and potential of traditional water wheels in the terraced irrigated landscapes of the Ricote Valley, southeast Spain

    Heider, KatharinaQuaranta, EmanueleAvil, Jose Maria GarciaLopez, Juan Miguel Rodriguez...
    12页
    查看更多>>摘要:Lifting water is crucial to irrigate agricultural terraces in the Mediterranean region. But the energy demand and emissions of modern forms of water pumping have increased, while many traditional water wheels, which lift water at zero direct emissions, have been abandoned. We explored the state of preservation and the potential for the deployment of traditional water wheels known as "norias" in the Ricote Valley of southeast Spain, where some are still in function, while also investigating the reasons for their widespread abandonment. A mixed method approach is used here to combine GIS-based methods, an expert survey, and a technological and socioeconomic assessment of noria renovation. Our findings show that norias in the Ricote Valley have mostly been replaced by thermal-engine water-lifting technologies. The reactivation of traditional irrigation technologies, many of them lying dormant but still standing, could contribute to reducing the high energy demand and the resulting emissions of irrigation systems in the Mediterranean region and beyond. It was estimated by data extrapolation that 16 renovated norias included in our analysis can irrigate 140.3 ha in the Ricote Valley, for a total achievable power of 23.8 kW. To irrigate a similar surface applying diesel motor pumps would produce up to 148 tons of emissions/year and cost up to approx. 70,000 euro /year based on a price of 1.25 euro /l diesel for a maximum of 8760 working hours/year. In the case of electric pumps, we estimate that up to 55 tons of emissions/year and costs up to approx. 48,000 euro /year can be saved. Therefore, we argue that rediscovering traditional technologies has potential to contribute to achieving climate actions that reduce GHG emissions (Sustainable Development Goal 13). Moreover, these technologies provide multiple functions and services for a sustainable life on land (Sustainable Development Goal 15), which needs to be considered within a holistic approach.

    Influence of crop-water production functions on the expected performance of water pricing policies in irrigated agriculture

    Sapino, FrancescoDionisio Perez-Blanco, C.Gutierrez-Martin, CarlosGarcia-Prats, Alberto...
    15页
    查看更多>>摘要:Agricultural economics Water Programming Models (WPM) has found that irrigators in water scarce areas have a rather inelastic response to water prices, making water pricing cost-ineffective towards water saving. We hypothesize that the predicted water saving performance of pricing is significantly underestimated by issues of model structure, due to the exclusion of deficit irrigation from the set of decision variables available to agents in conventional WPM. To test our hypothesis, we develop a model that integrates a continuous crop-water production function into a positive multi-attribute WPM, which allows us to assess agents' adaptive responses to pricing through deficit irrigation. The model is illustrated with an application to the El Salobral-Los Llanos irrigated area in Spain. Our results show that incorporating deficit irrigation as an adaptation option makes the water demand curve significantly more elastic as compared to an alternative model setting where deficit irrigation is precluded. We conclude that ignoring deficit irrigation can lead to a significant underestimation of the cost-effectiveness of water pricing towards water saving.

    Sustainable management of agricultural water and land resources under changing climate and socio-economic conditions: A multi-dimensional optimization approach

    Li, MoCao, XiaoxuLiu, DongFu, Qiang...
    13页
    查看更多>>摘要:Conflict between limited water supply and the ever-increasing water demand poses the challenge of synergetic management of agricultural water and land resources (AWLR). Sustainable development strategy and changing environment increase the multi-dimensional characteristic and complexity of the management of AWLR. This paper establishes a model framework for the multi-dimensional optimization of AWLR in a changing environ-ment. The model framework is advantageous of: (1) Comprehensively allocating water and land resources on the basis of clarifying their interactions; (2) Balancing incompatible goals from multiple dimensions including re-sources, society, economy, ecology, and environment; (3) proposing alternative allocation schemes of AWLR that can response to the changing environment of both natural and socio-economic changes. Allocation schemes of AWLR based on the model framework are generated, analyzed and evaluated. The comprehensiveness, equi-librium, and security of multi-dimensional targets help obtain the optimum adaptation allocation plans of AWLR to cope with changing environment. The real-world case study in Songhua River Basin in Northeast China verifies the feasibility and practicality of the model framework. The study found that the model framework can manage AWLR in a sustainable way and meanwhile provide decision makers alternatives plans of AWLR for different natural and social changing environments, which will further contribute to the alleviation of agricultural water scarcity and the promotion of agricultural sustainable development.

    Productivity and water use in forage-winter wheat cropping systems across variable precipitation gradients on the Loess Plateau of China

    Lai, XingfaYang, XianlongWang, ZikuiShen, Yuying...
    10页
    查看更多>>摘要:Fallow-winter wheat (Triticum aestivum L.) (F-W) is the major cropping system for wheat production on the Loess Plateau of China. Integrating forage crops into the summer fallow season could improve crop yield, water productivity, and rainwater use efficiency, but this process is limited by the inter- and intra- annual variable precipitation. A 3-year (2016-2019) field experiment was conducted on the Loess Plateau to investigate the effects of fallow-winter wheat, oat (Avena sativa)-winter wheat (O-W), soybean (Glycine max)-winter wheat (SW), and vetch (Vicia sativa)-winter wheat (V-W) systems on dry matter yield, water use, water productivity, and precipitation use efficiency under three interannual rainfall scenarios: a 30% decrease in rainfall (R-30%), normal rainfall (CK), and a 30% increase in rainfall (R+30%) by a rainfall-collection-redistribution device. In 2017-2018, under the CK scenario, the F-W, O-W, S-W, and V-W system wheat yields were 3.39, 3.63, 4.30, and 3.24 t ha(-1), respectively, and the system yield values were 11.28, 16.72, 16.40, and 14.27 t ha(-1), respectively. Compared to the CK scenario, the F-W, O-W, S-W, and V-W system yields increased by 22.9%, 34.5%, 20.4%, and 33.8% in 2016-2017 under the R+ 30% scenario, but the system water productivity decreased by 19.9%, 41.8%, 19.6%, and 32.4% in 2017-2018 under the R-30% scenario. Compared to those of the F-W system, the O-W, S-W, and V-W system yields significantly increased by 48.2%, 45.4%, and 26.5%, respectively, and the system water productivity increased by 51.5%, 47.3%, and 25.17%, respectively, in 2017-2018 under the CK scenario. The system precipitation use efficiency also increased by 29.3%, 42.9%, and 28.9% in 2018-2019 under the R+ 30% scenario. Across the three growing seasons, the F-W system had the highest wheat yield in the dry growing season. The S-W system had the highest dry matter yield, water productivity, and precipitation use efficiency in the normal and wet growing seasons. Therefore, we recommend the F-W system for local farmers when considering saving more soil water and maintaining wheat yield in the dry growing season. In normal and wet growing seasons, we recommend the S-W system for local farmers considering that the system increases productivity and improves environmental sustainability.

    An agent-based framework for simulating interactions between reservoir operators and farmers for reservoir management with dynamic demands

    Bahrami, NafisehAfshar, AbbasAfshar, Mohammad Hadi
    12页
    查看更多>>摘要:Agricultural water demand may dynamically vary as socioeconomic characteristics of farmers evolve. Reservoir operation under dynamic demand has a quite new origin. This paper employs an Agent-Based Model (ABM) in combination with the standard reservoir operating policy (SOP). Proposed framework (ABM-SOP) simulates a dynamic long-term reservoir operation considering the variations of agricultural water demand as socioeconomic behaviors of farmers evolves. In the proposed ABM, farmers are assumed to have memory and individual characteristics that make exclusive decisions based on their knowledge about the prevailing conditions. Farmers' water demand varies dynamically with their main socioeconomic characteristics addressed by their age, education, risk-taking ability, and dependency on agricultural income. Farmers respond to amount of available water by changing the cropping pattern and irrigation technology without any obligation from policymakers. Results of this study indicate that first, through the dynamic interaction between farmers and reservoir operators, water stress experienced by farmers is reduced by about 50%; they gain 20% more profit by making adapted decisions under different circumstances. Second, the most critical factor influencing the farmers' responses is risk-taking rate that might be managed to increase flexibility of farmers in their decisions. Third, a bottom-up approach applied in this research shows that selfish farmers could be smart enough to make proper decisions in response to fluctuation in available water as a result of self-organizing ability (i.e. ability of individual agents to organize their collective behaviors through interacting with each other rather than external intervention or education) of complex human-natural systems. Farmers would balance their risk-taking status based on their education, and as they receive information on reservoir storage and water availability for allocation. So, policymakers can improve the efficiency of their decisions by promoting the information exchange with all stakeholders and parties involved in the system operation.

    Evaluation of method to model stomatal conductance and its use to assess biomass increase in poplar trees

    Li, DoudouLi, XimengXi, BenyeHernandez-Santana, Virginia...
    9页
    查看更多>>摘要:Stomatal conductance (g(s)) is the main limiting factor for photosynthesis and is sensitive to plant water status. Accurately assessing the behavior of g(s) under water deficit stress is essential to model plants carbon and water flux, which govern vegetation biomass production and dynamics. However, direct measurement of g(s) with gas exchange analyzer can be time-consuming and laborious, especially under field conditions, thus constraining the data availability for validating the modeling outcome. This difficulty can be solved if measurement of g(s) is automated. Here, we report on dynamics of g(s) and the maximum (g(smax)) of Populus tomentosa, derived from automatically recorded meteorological variables and sap flux density (J(s)) and turgor pressure sensors outputs (Z) measured in three P. tomentosa trees from a short-rotation plantation subjected to different water stress levels along a whole growing season. The simulated g(smax) was related to aboveground (ABM) and underground biomass (UBM) increase by leaf area. J(s) and Z were continuously measured using sap flow and ZIM sensors. Our results showed that the sensitivity of J(s) to air vapor deficit (D) (i.e. J(s)/D) correlated well with g(s), and the sensitivity of Z to D (i.e. dZ/dD) was well coupled with g(smax). In addition, the ABM increase was linearly aligned with simulated g(smax) multiplied by leaf area (LA) (R-2 > 0.7). Also, increment in UBM was significantly correlated with simulated g(smax) * LA across all observed trees, being the best described by a logistic function (R-2 > 0.7). We conclude that g(s) can be well simulated through automatic monitoring of J(s) and Z for different meteorological and soil water content conditions. Moreover, the simulated g(smax) was also closely related to biomass production both above and underground, which opens the possibility for using it to manage irrigation in smart agriculture and forestry in the future.

    Durum wheat ideotypes in Mediterranean environments differing in water and temperature conditions

    Zahra Rezzouk, FatimaGracia-Romero, AdrianKefauver, Shawn C.Teresa Nieto-Taladriz, Maria...
    14页
    查看更多>>摘要:Ideotypic characteristics of durum wheat associated with higher yield under different water and temperature regimes were studied under Mediterranean conditions. Six semi-dwarf cultivars with contrasting agronomic performance were grown during two consecutive years under winter-planted rainfed and winter-planted support-irrigation conditions and a late-planting trial under support irrigation, at the INIA station of Colmenar de Oreja (Madrid). Different traits were assessed to inform on: water status, root performance, phenology, photosynthetic capacity, crop growth, grain yield and agronomic yield components. Under support irrigation and normal planting, genotypes with higher grain yield exhibited better water status (lower delta C-13 and canopy temperature), assimilation of more superficial water (higher delta O-18), earlier heading and greater plant height and ear density. Under water-limited conditions (rainfed), the best genotypes also exhibited better water status (lower delta C-13) and earlier heading, but higher specific root length with extraction of water from deeper soil layers (lower delta O-18), more efficient N metabolism (higher delta N-15 and NBI) and consequently stronger growth (plant height and NDVI), and greater ear density and thousand grain weight. Under warmer conditions (late planting), the best genotypes also exhibited better water status (lower delta C-13) and greater plant height and photoprotective mechanisms (higher flavonoid content and lower chlorophyll content). However, the strong differences in drought between consecutive years determined other specific ideotypic traits within each of the three growing conditions and the particular year. Our study suggests specific ideotypes when breeding durum wheat under different agronomic scenarios, but also stresses that interannual variation in water conditions, typical of Mediterranean conditions, should be taken into account.

    Impact of controlled drainage on subsurface drain flow and nitrate load: A synthesis of studies across the US Midwest and Southeast

    Helmers, M. J.Abendroth, L.Reinhart, B.Chighladze, G....
    13页
    查看更多>>摘要:Controlled drainage (CD), sometimes called drainage water management, is a practice whereby the drainage system outflow is managed during specific periods to retain more water in the field. Although CD has been shown to reduce downstream nitrate-N (NO3--N) load, seasonal patterns have been less consistent which can potentially impact the effectiveness of conservation practices. The main objective of this study was to assess the regional and seasonal impact of conventional free drainage (FD) and CD on drainage flow and nitrate-N load. Using experimental data from ongoing and historical CD experiments across the Corn Belt and in North Carolina, we evaluated subsurface drain flow, nitrate-N load, and performance of CD systems. Across the data set and regions, there was little difference in annual flow from FD conditions. Seasonally, more northern and western sites experienced a greater percentage of the annual flow occurring in the spring. There was no nitrate-N concentration reduction with CD. Flow and nitrate-N load reductions with CD did not vary by plant hardiness zone across the region, but the season with the greatest reduction did shift from winter to spring moving north and west in the study area. Absolute flow reductions (in mm) were similar regardless of precipitation category. Consequently, the percent reduction was lower as the amount of precipitation (category) increased. Overall, this analysis found CD to be an effective practice for reducing drain flow and nitrate-N loading directly delivered by the drains to downstream water bodies across the region.

    Assessing the performance of conservation measures for controlling slope runoff and erosion using field scouring experiments

    Sun, LiquanZhang, BiaoYin, ZimingGuo, Huili...
    13页
    查看更多>>摘要:Slope runoff acts as a driving force for soil erosion on the Loess Plateau but is also an important water source for alleviating water shortages and maintaining vegetation growth. Identifying how to regulate runoff can help solve the problems of water shortages and soil erosion. This study aimed to determine the effectiveness of conservation measures on controlling slope runoff and soil loss in a 20 degrees runoff plot using scouring experiments. The treatments included plots with bare slope (CK) and three typical soil and water conservation (SWC) measures-engineering measures (fish-scale pits, FSPs), vegetation measures (grass revegetation by alfalfa, GR), and agricultural measures (straw mulching, SM). The results showed that the SWC practices significantly (P < 0.05) controlled runoff and soil loss. The GR, FSPs, and SM significantly delayed runoff start time by 150-250%, 200-300%, and 250-400%, respectively, compared with CK, and reduced runoff coefficients by 25-60%, 7-50%, and 40-80%, respectively. The runoff reduction rate (RRB) and sediment reduction rate (SRB) averaged 33.6% and 82.1%, 43.7% and 76.4%, and 82.3% and 94.0%, respectively, for the GR, FSPs, and SM treatments. However, the effectiveness decreased with increasing inflow rate, especially for the FSPs as they were gradually destroyed and lost their ability to control runoff scour at 7.0 m(3)h(-1). The RRB and SRB were most affected by SM compared with FSPs and GR. All three SWC measures increased the Darcy-Weisbach friction coefficients (f) and reduced the velocity (V), Reynolds (Re), and Froude (Fr) numbers. Except for FSPs at 7.0 m(3)h(-1), all SWC treatments had a laminar flow regime and subcritical flow state. Gray correlation analysis (GRA) showed that stream power and Reynolds number had better relational degrees with erosion rate for conservation measures, followed by shear stress, indicating that they may be preferred descriptors of the erosional process. These results provide meaningful guidance on measures for preventing soil erosion on sloping farmland in the Loess Plateau.

    Quasi-3D mapping of soil moisture in agricultural fields using electrical conductivity sensing

    Shaukat, HiraFlower, Ken C.Leopold, Matthias
    10页
    查看更多>>摘要:Knowledge of real time spatial distribution of soil moisture has great potential to improve yield and profit in agricultural systems. Recent advances in non-invasive electromagnetic induction (EMI) techniques have created an opportunity to determine soil moisture content with high-resolution and minimal soil intrusion. So far, EMI has mainly been used for homogenous soil conditions, which are not common in agriculture and results are mainly validated by excavated pits or calibration models using soil samples on a transect. This study converts apparent electrical conductivity data recorded with a Dualem-1Hs EM-metre for two surveys of variable moisture conditions (dry and wet season) with 2475 and 2174 data points over 5.4 ha, in a field with a contrasting vertical soil profile into spatiotemporal management zones. A least square inversion algorithm was used to determine electrical conductivities for individual soil layers of 0-0.5 m, 0.5-0.8 m and 0.8-1.6 m. Soil samples from the depth of 0.5 m and 0.8 m were used for soil moisture calibrations. A laboratory experiment under controlled conditions developed electric conductivity vs volumetric water content relations with power law functions for required soil depth slices with R 2 values between 0.98 and 0.99. Subsequently, EMI data were converted to volumetric water contents for each layer and predictions were spatially displayed. Median change between the measured apparent conductivity and inverted values range from 6 to 17 mS m(-1) resulting in 3-7% difference in volumetric water prediction. These EMI based soil moisture predictions were compared with neutron moisture metre measurements, with Pearson R values of 0.74 and 0.95 for the wet and dry season surveys, respectively. The method is robust and offers a comparatively fast method to estimate the soil moisture status in fields and subsequently make informed management decisions.