Works matching DE "WATER table"
Results: 5000
基于超高分辨质谱的溶解性有机质 吸收模式谱图研究.
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- Journal of Chinese Mass Spectrometry Society, 2025, v. 46, n. 1, p. 123, doi. 10.7538/zpxb.2024.0036
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Permeability Sensitivity of Coupled Electrical and Hydraulic Data in Unconfined Aquifers.
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- Mathematical Geosciences, 2025, v. 57, n. 2, p. 393, doi. 10.1007/s11004-024-10166-1
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Rising groundwater table due to restoration projects amplifies earthquake induced liquefaction risk in Beijing.
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- Nature Communications, 2025, v. 16, n. 1, p. 1, doi. 10.1038/s41467-025-56525-2
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Predicting deep-seated landslide displacement on Taiwan's Lushan through the integration of convolutional neural networks and the Age of Exploration-Inspired Optimizer.
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- Natural Hazards & Earth System Sciences, 2025, v. 25, n. 1, p. 119, doi. 10.5194/nhess-25-119-2025
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Impact of organic mulch and exposure to shallow groundwater levels on Cnidoscolus aconitifolius in a tropical wetland, South Sumatra, Indonesia.
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- Lilloa, 2024, v. 61, n. 2, p. 297, doi. 10.30550/j.lil/1971
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镍污染场地抽出-处理数值模拟及渗透系数对修复效果影响.
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- Journal of Dalian University of Technology / Dalian Ligong Daxue Xuebao, 2025, v. 65, n. 1, p. 97, doi. 10.7511/dllgxb202501012
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Indonesia's Unclear Groundwater Management in Achieving Sustainable Development Goals: Regulations, Environmental Impacts, and Strategic Solutions.
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- International Journal of Sustainable Development & Planning, 2025, v. 20, n. 1, p. 263, doi. 10.18280/ijsdp.200124
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Exploring the rate and potential risk of land subsidence induced by groundwater overexploitation in a multilayer aquifer.
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- Natural Hazards, 2025, v. 121, n. 2, p. 2193, doi. 10.1007/s11069-024-06820-w
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An Oyama Pot Hack That Works.
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- African Violet Magazine, 2025, v. 78, n. 1, p. 34
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Recovery of Sphagnum mosses in donor sites after cutting: effects of species and some environmental factors.
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- Mires & Peat, 2024, v. 31, p. 1, doi. 10.19189/MaP.2024.OMB.Sc.2471347
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Groundwater monitoring, geophysical and hydrochemical assessment of highly disturbed peat deposits at Badas, Brunei Darussalam.
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- Mires & Peat, 2024, v. 31, p. 1, doi. 10.19189/MaP.2023.CM.Sc.2332104
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Species-dependent methane emissions in a Dutch peatland during paludiculture establishment.
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- Mires & Peat, 2024, v. 31, p. 1, doi. 10.19189/MaP.2023.OMB.Sc.2422120
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Long-term hydrometeorological observations (1952–2020) at the Lammin-Suo Peatland Station, north-west Russia.
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- Mires & Peat, 2024, v. 31, p. 1, doi. 10.19189/MaP.2023.CM.Sc.2319489
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How to promote Sphagnum lawn establishment in drained bogs: the role of water table and moss vitality.
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- Mires & Peat, 2024, v. 31, p. 1, doi. 10.19189/MaP.2023.OMB.Sc.2305346
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Fuzzy Attribute Interval Modeling for Risk Evaluation of Water Inrush in Deep and Long Tunnels and Engineering Applications.
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- Polish Journal of Environmental Studies, 2025, v. 34, n. 2, p. 1381, doi. 10.15244/pjoes/186113
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GROUNDWATER FLOW MODEL OF OIL SHALE MINING AREA.
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- Oil Shale, 2010, v. 27, n. 3, p. 258, doi. 10.3176/oil.2010.3.07
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On track to a remote conditioned future.
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- Computing & Control Engineering, 2005, v. 16, n. 6, p. 10, doi. 10.1049/cce:20050602
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Status and ecology of the boreal moss Dicranum undulatum Schrad. ex Brid. at its last location in southern Britain.
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- Journal of Bryology, 2020, v. 42, n. 2, p. 143, doi. 10.1080/03736687.2019.1700694
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Effects of microtopography and water table on Sphagnum palustre L. in subtropical high mountains and implications for peatland restoration.
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- Journal of Bryology, 2019, v. 41, n. 2, p. 121, doi. 10.1080/03736687.2019.1601446
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Simulating within-field spatial and temporal corn yield response to nitrogen with APSIM model.
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- Precision Agriculture, 2024, v. 25, n. 5, p. 2421, doi. 10.1007/s11119-024-10178-1
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Performance evaluation of automatic vis-à-vis manual topographic survey for precision land levelling.
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- Precision Agriculture, 2020, v. 21, n. 2, p. 300, doi. 10.1007/s11119-019-09669-3
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Spatial variability of soil solute and saturated hydraulic conductivity affected by undrained water table conditions.
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- Precision Agriculture, 2015, v. 16, n. 3, p. 330, doi. 10.1007/s11119-014-9379-0
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Surrogate optimization of deep neural networks for groundwater predictions.
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- Journal of Global Optimization, 2021, v. 81, n. 1, p. 203, doi. 10.1007/s10898-020-00912-0
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Analysis and evaluation of groundwater pollution in Shouguang, China.
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- Irrigation & Drainage, 2024, v. 73, n. 2, p. 694, doi. 10.1002/ird.2899
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Water requirements of banana and papaya under different water table depths and soil types in the Lower Indus Basin of Pakistan.
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- Irrigation & Drainage, 2024, v. 73, n. 2, p. 508, doi. 10.1002/ird.2892
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Design of subsurface drainage network with minimum overall cost using Lagrange multiplier optimization.
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- Irrigation & Drainage, 2024, v. 73, n. 2, p. 613, doi. 10.1002/ird.2886
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Waterlogging and salinity: Cause and effect in the framework of a social, environmental and financial nexus.
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- Irrigation & Drainage, 2023, v. 72, n. 5, p. 1283, doi. 10.1002/ird.2829
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Thirty years of partnerships to achieve sustainable irrigation through Shepparton Irrigation Region Land and Water Management Plan.
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- Irrigation & Drainage, 2023, v. 72, n. 3, p. 706, doi. 10.1002/ird.2807
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Modelling and prediction of groundwater level using wavelet transform and machine learning methods: A case study for the Sahneh Plain, Iran.
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- Irrigation & Drainage, 2023, v. 72, n. 3, p. 747, doi. 10.1002/ird.2794
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Groundwater modelling of a shallow aquifer for the assessment of water logging: A case study of the Cebala‐Borj Touil irrigation perimeter, northern Tunisia.
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- Irrigation & Drainage, 2022, v. 71, n. 5, p. 1379, doi. 10.1002/ird.2723
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Water table dynamics between two adjacent subsurface drainage laterals in a paddy field: A newly improved analytical solution.
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- Irrigation & Drainage, 2022, v. 71, n. 4, p. 1048, doi. 10.1002/ird.2717
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Impact of agricultural water management interventions on upstream–downstream trade‐offs in the upper Cauvery catchment, southern India: a modelling study*.
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- Irrigation & Drainage, 2022, v. 71, n. 2, p. 472, doi. 10.1002/ird.2662
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Strategy of subsurface pipe drainage system to alleviate soil salinization based on the DRAINMOD model<sup>*</sup>.
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- Irrigation & Drainage, 2022, v. 71, n. 1, p. 120, doi. 10.1002/ird.2643
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DRAINMOD simulation of paddy field drainage strategies and adaptation to future climate change in lower reaches of the Yangtze river basin<sup>*</sup>.
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- Irrigation & Drainage, 2021, v. 70, n. 4, p. 819, doi. 10.1002/ird.2564
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Sustainable management of water in northern California, USA, for food, energy, and environmental security*.
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- Irrigation & Drainage, 2021, v. 70, n. 3, p. 410, doi. 10.1002/ird.2437
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Groundwater contribution to transpiration of trees under wet and dry soil conditions*.
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- Irrigation & Drainage, 2021, v. 70, n. 1, p. 42, doi. 10.1002/ird.2533
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Influence of irrigation regimes on alfalfa dry matter yield and water productivity in a semiarid subtropical environment.
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- Irrigation & Drainage, 2020, v. 69, n. 5, p. 1063, doi. 10.1002/ird.2490
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Conjunctive use of groundwater and surface water for paddy rice irrigation in Sanjiang plain, North‐East China<sup>*</sup>.
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- Irrigation & Drainage, 2020, v. 69, n. 2, p. 142, doi. 10.1002/ird.2459
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Conjunctive use of surface water and groundwater in irrigation districts in China<sup>*</sup>.
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- Irrigation & Drainage, 2020, v. 69, n. 2, p. 135, doi. 10.1002/ird.2471
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Influence of soils and different phases of reproductive growth stage on transpiration efficiency of irrigated canola.
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- Irrigation & Drainage, 2020, v. 69, n. 4, p. 891, doi. 10.1002/ird.2469
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ESTIMATION OF GROUNDWATER RECHARGE ORIGINATING FROM AGRICULTURAL IRRIGATION AND RAINFALL IN SHYRAMYN PLAIN, IRAN.
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- Irrigation & Drainage, 2020, v. 69, n. 1, p. 107, doi. 10.1002/ird.2398
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MALT BARLEY (HORDEUM VULGARE L.) WATER USE AND GRAIN YIELD RESPONSE TO SALINE IRRIGATION UNDER SHALLOW GROUNDWATER TABLE CONDITIONS.
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- Irrigation & Drainage, 2019, v. 68, n. 5, p. 867, doi. 10.1002/ird.2389
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SUITABILITY OF SHALLOW GROUNDWATER FOR IRRIGATION: THE CASE OF THE WONJI SHOA SUGAR ESTATE (ETHIOPIA).
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- Irrigation & Drainage, 2019, v. 68, n. 5, p. 857, doi. 10.1002/ird.2378
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AN OVERVIEW OF DRAINAGE AND SALINIZATION PROBLEMS OF IRRIGATED LANDS.
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- Irrigation & Drainage, 2019, v. 68, n. 3, p. 551, doi. 10.1002/ird.2344
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Evaluating Drainmod‐s to Predict Drainage Water Salinity and Groundwater Table Depth During Winter Cropping in Heavy‐Textured Paddy Soils.
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- Irrigation & Drainage, 2019, v. 68, n. 3, p. 559, doi. 10.1002/ird.2339
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Determination of Planting Time of Watermelon Under a Shallow Groundwater Table in Tidal Lowland Agriculture Areas of South Sumatra, Indonesia.
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- Irrigation & Drainage, 2019, v. 68, n. 3, p. 488, doi. 10.1002/ird.2338
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Simulation of Farmland Groundwater Table Depth and Soil Salinity under Drainage Systems in Tidal Areas, Laizhou Bay of China.
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- Irrigation & Drainage, 2018, v. 67, p. 105, doi. 10.1002/ird.2175
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Steady Darcian Flow in Subsurface Irrigation of Topsoil Impeded by a Substratum: Kornev–Riesenkampf–Philip Legacies Revisited.
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- Irrigation & Drainage, 2018, v. 67, n. 3, p. 374, doi. 10.1002/ird.2220
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Diagnosing Drainage Problems in Coastal Areas Using Machine-Learning and Geostatistical Models.
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- Irrigation & Drainage, 2017, v. 66, n. 3, p. 428, doi. 10.1002/ird.2107
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Drainage Retention Capacity (DREC) to Reduce Runoff in Drained Areas (Malinik Forest Area, Czech Republic).
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- Irrigation & Drainage, 2016, v. 65, n. 5, p. 701, doi. 10.1002/ird.1988
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