Relevant bibliographies by topics / DRYING SWCC

Academic literature on the topic 'DRYING SWCC'

Author: Grafiati
Published: 11 September 2023

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Journal articles on the topic "DRYING SWCC"

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Satyanaga, Alfrendo, Jong Kim, Sung-Woo Moon, and Martin Wijaya. "Exponential Functions for Modelling Hysteresis of Soil-Water Characteristic Curves." E3S Web of Conferences 195 (2020): 02002. http://dx.doi.org/10.1051/e3sconf/202019502002.

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Soil – water characteristic curve (SWCC) is an important property of unsaturated soils that can be used to estimate various parameters to describe unsaturated soil behavior. SWCC is reported to be hysteretic because the water content at a given suction in the wetting process is less than that in the drying process. In order to simulate the hysteretic characteristics of SWCC, many models have been proposed by different researchers. However, majority of the existing models are complex and their parameters are not related to the physical significances of SWCC variables. In this study, the new equations are developed to model drying and wetting SWCC. In addition, some indexes are proposed to estimate the wetting SWCC from drying SWCC. The new equations for SWCCs were evaluated with the laboratory data from published literatures. The results showed that the proposed equations performed well in modelling drying and wetting SWCC. The new equation has less parameters than the existing published equation.
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Yang, Hong, Harianto Rahardjo, Eng-Choon Leong, and D. G. Fredlund. "Factors affecting drying and wetting soil-water characteristic curves of sandy soils." Canadian Geotechnical Journal 41, no. 5 (September 1, 2004): 908–20. http://dx.doi.org/10.1139/t04-042.

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Drying and wetting soil-water characteristic curves (SWCCs) for five sandy soils are investigated using a Tempe pressure cell and capillary rise open tube. The test data are fitted to two SWCC equations using a least-squares algorithm. The obtained fitting parameters and some hysteretic behaviour are discussed and correlated with grain-size distribution parameters. A concept of total hysteresis is proposed to quantify the hysteresis of SWCC. The measured SWCC for one soil is also compared with the SWCC estimated from its grain-size distribution. The SWCC was also obtained at a high dry density for one of the soils. The results show that the shapes of the SWCCs are similar to the grain-size distributions of the soils and are affected by the dry density of the soil. A coarse-grained soil has a lower air-entry value, residual matric suction, and water-entry value and less total hysteresis than a fine-grained soil. The residual matric suction and water-entry value tend to approach the same value when the effective grain size D10 of the soil is small, in the range of 3-6 mm. SWCCs of uniform soils have steeper slopes and less total hysteresis than those of less uniform soils. Soils with a low dry density have a lower air-entry value and residual matric suction than soils with a high dry density. The SWCC predicted from grain-size distribution is found to be sufficiently accurate.Key words: soil-water characteristic curve, water content, suction, hysteresis, grain size.
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Yan, Wei, Emanuel Birle, and Roberto Cudmani. "A simple approach for predicting soil water characteristic curve of clayey soils using pore size distribution data." MATEC Web of Conferences 337 (2021): 02012. http://dx.doi.org/10.1051/matecconf/202133702012.

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The soil water characteristic curve (SWCC) of soils can be derived from the measured pore size distribution (PSD) data by applying capillary models. This method is limited for clayey soils due to the PSD changes during SWCC testing. In this study, a suction-dependent multimodal PSD model based on probability theory is developed and used to derive SWCC. The model is validated by simulating the drying branches of SWCCs of four compacted Lias Clay samples with different initial states. A good consistency between the measured and predicted SWCC is shown.
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Li, J. H., L. M. Zhang, and X. Li. "Soil-water characteristic curve and permeability function for unsaturated cracked soil." Canadian Geotechnical Journal 48, no. 7 (July 2011): 1010–31. http://dx.doi.org/10.1139/t11-027.

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Cracks are widely present in natural and engineered soils. As water infiltration into a cracked soil often starts from unsaturated conditions, the soil-water characteristic curve (SWCC) and permeability function for the cracked soil are required when conducting seepage analysis. This paper presents a method to predict the SWCC and permeability function for cracked soil considering crack volume changes during drying–wetting processes. The cracked soil is viewed as an overlapping continuum of a crack network system and a soil matrix system. The pore-size distributions for the two pore systems at a particular state can be determined and used to estimate the SWCCs and permeability functions. The estimated SWCCs and permeability functions for the two pore systems can be combined to give the SWCC and the permeability function for the cracked soil at that state. Then, the SWCC and permeability function for the cracked soil at different states along a crack development path can be obtained and combined to give the SWCC or permeability function for the cracked soil considering crack volume changes. Examples are presented to illustrate the prediction of the SWCCs and permeability functions for a cracked soil along five crack development paths.
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Guo-Quan, Ding, Bian Xia, Yuan Jun-Ping, and Zhu Jun-Gao. "Bimodal SWCC and Bimodal PSD of Soils with Dual-Porosity Structure." Mathematical Problems in Engineering 2022 (June 24, 2022): 1–10. http://dx.doi.org/10.1155/2022/4052956.

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The soil–water characteristic curve (SWCC) and pore-size distribution (PSD) are fundamental characteristics of soils that determine many physical and mechanical properties. Recent studies demonstrate that both SWCC and PSD sometimes exhibit a bimodal feature. In this paper, soils with bimodal SWCCs are mainly divided into three categories: gap-graded soils, compacted clayey soils, and natural dual-porosity structural soils, from the perspective of microporosity structure. Based on the Fredlund and Xing unimodal SWCC equation, a bimodal SWCC equation is presented. The bimodal PSD equation d v / d log r for mercury intrusion porosimetry (MIP) is derived theoretically, according to the relationship between the mercury intrusion process in MIP and the water desorption process along the drying SWCC. These two associated equations have the same set of parameters, so the corresponding relationship between the bimodal SWCC and bimodal PSD can be directly shown. Three main presenting forms of PSD in MIP tests are summarized. Regression analysis results show that the proposed PSD equation can well fit bimodal PSD experimental data of various soils in the literature, and the SWCCs are predicted at the same time.
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Zeng, Ling, Fan Li, Jie Liu, Qianfeng Gao, and Hanbing Bian. "Effect of initial gravimetric water content and cyclic wetting-drying on soil-water characteristic curves of disintegrated carbonaceous mudstone." Transportation Safety and Environment 1, no. 3 (December 12, 2019): 230–40. http://dx.doi.org/10.1093/tse/tdz018.

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Abstract The soil-water characteristic curve (SWCC) is often used to estimate unsaturated soil properties (e.g. strength, permeability, volume change, solute and thermal diffusivity). The SWCC of soil samples is significantly affected by cyclic wetting-drying. To examine how water content and cyclic wetting-drying affect the SWCC of disintegrated carbonaceous mudstone (DCM), SWCC tests were implemented using a pressure-plate apparatus. In addition, SWCC models for DCM considering the initial gravimetric water content and cyclic wetting-drying were developed. The test results showed that the volumetric water content (θ) of the DCM first decreased rapidly and then became stable as matric suction (s) increased. The initial water content affected the SWCC by altering the pore structure of the DCM. For a given number of wetting-drying cycles, the higher the initial water content, the higher the stabilized θ. At a given s value, θ decreased as the number of wetting-drying cycles increased, which suggests that cyclic wetting-drying reduces the water-holding capacity of DCM. The Gardner model for DCM was constructed considering initial water content and cyclic wetting-drying, and was effective at describing and predicting the SWCC model for DCM.
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Fredlund, Delwyn G., Daichao Sheng, and Jidong Zhao. "Estimation of soil suction from the soil-water characteristic curve." Canadian Geotechnical Journal 48, no. 2 (February 2011): 186–98. http://dx.doi.org/10.1139/t10-060.

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Soil-water characteristic curves (SWCCs) are routinely used for the estimation of unsaturated soil property functions (e.g., permeability functions, water storage functions, shear strength functions, and thermal property functions). This paper examines the possibility of using the SWCC for the estimation of in situ soil suction. The paper focuses on the limitations of estimating soil suctions from the SWCC and also suggests a context under which soil suction estimations should be used. The potential range of estimated suction values is known to be large because of hysteresis between drying and wetting SWCCs. For this, and other reasons, the estimation of in situ suctions from the SWCC has been discouraged. However, a framework is suggested in this paper for estimating the median value for in situ soil suction along with a likely range of soil suction values (i.e., maximum and minimum values). The percentage error in the estimation of soil suction from the SWCC is shown to be lowest for sand soils and highest for clay soils.
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Al-Mahbashi, Ahmed M., Tamer Elkady, and Mosleh Al-Shamrani. "The Role of Stress States on the Hysteric Behavior of Expansive Soil under Multiple Drying-Wetting Cycles." Buildings 13, no. 7 (June 26, 2023): 1619. http://dx.doi.org/10.3390/buildings13071619.

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Expansive soils in the field are typically exposed to cyclic wetting and drying due to climatic fluctuations and subjected to a variety of stress conditions in nature or when used as compacted layers for the construction of hydraulic barriers or waste disposal facilities. The hysteric behavior of the soil-water characteristic curve (SWCC) is a key parameter for understanding, modeling, and interpreting the unsaturated behavior of these soils under such conditions. This study investigates the effect of stress states on the hysteresis behavior of soil-water characteristic curves (SWCCs) for compacted highly expansive clay over a range of matric suction between 0 and 1500 kPa. Two test series were performed, the first test series investigated the effect of stress states on the hysteresis of SWCCs during a single drying-wetting (DW) cycle. The second test series studied the combined effect of stress applied and multiple drying-wetting cycles on the SWCC hysteresis. For the sake of comparison, the overall SWCC hysteresis due to drying-wetting cycles was quantified using the average degree of hysteresis in terms of volumetric water content (ADHθ). Furthermore, contributors to the observed hysteresis were defined using two newly proposed measures; namely, average degree hysteresis in terms of gravimetric water content (ADHw) and in terms of volume change (ADHe*). The outcomes of this study indicate that consideration of stress states on the hysteresis of SWCC for expansive clay is of great importance. The results show a dual trend for the variation of ADHθ with applied vertical stress. Furthermore, multiple DW cycles induced a significant reduction in the hysteresis (ADHθ) under low- and high-stress states up to a certain level of DW cycles, then, no further changes in the hysteresis trend were detected. It was also found that hysteresis loops under a low-stress state were concentric in shape while hysteresis loops for specimens under a high-stress state were non-concentric, with a downward shift in hysteresis loops with the increase in DW cycles.
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Syarifudin, Achmad, and Alfrendo Satyanaga. "Variability of Bimodal Soil-Water Characteristic Curves under Different Confining Pressures." Applied and Environmental Soil Science 2021 (June 5, 2021): 1–10. http://dx.doi.org/10.1155/2021/5569491.

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Soils with two subcurves of Soil-Water Characteristic Curve (SWCC) (dual porosity soils) might be found within various residual soils. Soils located in different depths have different confining pressure. Residual soils are found in the unsaturated zones due to the deep groundwater table. There is a linear correlation between the hydraulic properties of the soil in the unsaturated area and that of its unsaturated properties. This study aims to examine the influence of the confining pressure towards the SWCC of dual porosity soil. The scope of this study involves measurements of the drying and wetting SWCC using Tempe cells, pressure plates, and an advanced triaxial apparatus. In this study, the mathematical equations were developed to explain the effect of confining pressure on SWCC. The experimental results indicated that the dual porosity soil exhibits bimodal characteristics for the drying curve of SWCC and it exhibits unimodal characteristics for the wetting curve of SWCC. As the confining pressure increases, the air entry values, the inflection points, and the standard deviation of drying SWCC increase. In addition, the hysteresis of SWCC is becoming smaller with the increasing confining pressure.
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Ahmed, Asif, Md Jobair Bin Alam, Pratibha Pandey, and MD Sahadat Hossain. "Estimation of unsaturated flow parameters and hysteresis curve from field instrumentation." MATEC Web of Conferences 337 (2021): 01008. http://dx.doi.org/10.1051/matecconf/202133701008.

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Abstract: The negative pore water pressure or soil suction has significant effect on the performance of geotechnical infrastructures (e.g., slope, pavement, embankment etc.). The unsaturated behavior of soil is not static, rather offers variation in response to climatic loading. The objective of the study was to evaluate field-based techniques of SWCC construction in terms of capturing these variation as compared to laboratory methods and predictive models. The field assessment could allow the quantification of hysteresis effect on the SWCC. Instrumentation data from one Texas, USA highway was used in this study. Soil Water Characteristic Curves (SWCCs) were regenerated utilizing co-located moisture and suction data from the field. Laboratory and field measured SWCCs from the instrumented site were fitted by van Genuchten model. Previously developed predicted models were also utilized to evaluate the SWCC parameters. Based on the evapotranspiration and rainfall amounts, distinct drying and wetting cycles were recorded. Though hourly data was collected in this study, average daily values were used for the analysis. Unsaturated flow parameters (α, n, m) were determined from both laboratory testing and field moisture-suction data along with the predictive models. Clear differences were observed between the values obtained from predictive models and field generated SWCC. The outcome from this study revealed that field reconstructed SWCCs can be used to simulate higher precision in numerical modeling in numerous geotechnical applications.
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Dissertations / Theses on the topic "DRYING SWCC"

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AHMED, AATIF. "EXPERIMENTAL STUDY ON WETTING SOIL WATER CHARACTERISTIC CURVE OF SAND WITH MIXTURE OF BENTONITE CLAY." Thesis, DELHI TECHNOLOGICAL UNIVERSITY, 2021. http://dspace.dtu.ac.in:8080/jspui/handle/repository/18888.

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Soil-water characteristic curve (SWCC) also known as water retention curve is an integral part of unsaturated soil mechanics. SWCC is a constitutive relation in unsaturated soil mechanics where soil suction is related to water content. Wetting SWCCs were determined for different sand-bentonite clay mixtures. With the help of the Van-Genuchten equation, acquired test data were fitted. Wetting SWCC can be related to flow of water through unsaturated zones of soil from the groundwater table to the ground surface. Negative column test was employed to determine SWCC since it is fairly simple and simulates the actual field conditions. In the present paper, different soil samples, where sand is mixed with varying proportions of bentonite clay are considered, for determining wetting SWCC. Finer the soil particle, higher will be the soil suction for a given water content. Hence, as the content of clay increases, SWCC slightly shifts towards the right, indicating the increment in soil suction. In turn, water entry value(WEV) also shoots up.
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Li, Po-Ting, and 李柏廷. "Measurement of Drying and Wetting SWCCs by Flow Pump Method." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/9234pn.

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碩士
國立臺灣大學
土木工程學研究所
106
In general, geotechnical engineers use soil mechanics which pioneered by Karl Terzaghi to solve various kinds of geotechnical engineering problems. The assumption of the soil is either completely saturated or completely dry in this theory. However, there are many area is in unsaturated condition and many geotechnical engineering problems occurs in unsaturated condition. Therefore, understanding the unsaturated soil mechanics could prevent the improper design happen. The soil-water characteristic curve (SWCC) play an important role in unsaturated soil mechanics. The SWCC represent the relationship between soil suction and soil water content. There are many methods and laboratory tests have been developed to evaluate and measure the SWCC over past decades. Among them, ASTM pressure plate test is widely used since its convenience and reliability. However, the experimental duration is too long about 1~3 months to obtain a SWCC and the specimen is stable or not is difficult to determine. In this study, flow pump system, triaxial system, 3D printing technology, axis translation technique and modified suction drop method are combined to establish an experimental system of SWCC measurement method. Fine quartz sand, Vietnam quartz sand and Peng Hu calcareous sand are used as test material for this research. Results show that this experimental method is able to obtain the SWCC efficiently and cost less experimental duration.
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Book chapters on the topic "DRYING SWCC"

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Raghuram, Ammavajjala Sesha Sai, and B. Munwar Basha. "Effect of Drying and Wetting SWCCs on Unsaturated Soil Slopes." In Lecture Notes in Civil Engineering, 493–504. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6370-0_44.

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Conference papers on the topic "DRYING SWCC"

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Agüera, Angeles Lopez, Jasurjon Akhatov, Miguel Garcia, and Akbar Halimov. "Solar Dryer for Drying of Marine Products." In ISES Solar World Congress 2011. Freiburg, Germany: International Solar Energy Society, 2011. http://dx.doi.org/10.18086/swc.2011.30.01.

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Simón Castellano, María José, Rubén Alexander López Quiroz, Sebastián Taramona Fernández, Alessandro Gallo, Pedro Contreras Lallana, and Jesús Gómez Hernández. "Drying of Asphalt Plant Aggregates Using Concentrated Solar Energy." In ISES Solar World Congress 2021. Freiburg, Germany: International Solar Energy Society, 2021. http://dx.doi.org/10.18086/swc.2021.26.06.

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Pande, Piyush Chandra. "Integrated Solar Devices for Rural Areas: Experiments on Drying Mushroom." In ISES Solar World Congress 2011. Freiburg, Germany: International Solar Energy Society, 2011. http://dx.doi.org/10.18086/swc.2011.30.13.

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Davidsson, Henrik, Joakim Olsson, Randi Phinney, Ricardo Bernardo, Pia Otte, and Lucas Daniel Tivana. "Towards a Homogenous Drying Rate Using a Solar Fruit Dryer." In ISES Solar World Conference 2017 and the IEA SHC Solar Heating and Cooling Conference for Buildings and Industry 2017. Freiburg, Germany: International Solar Energy Society, 2017. http://dx.doi.org/10.18086/swc.2017.24.01.

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Louvet, Y., Ruslan Botpaev, and Klaus Vajen. "Evaluation of a Large Solar Thermal Drainback System for Hay Bales Drying." In ISES Solar World Congress 2015. Freiburg, Germany: International Solar Energy Society, 2016. http://dx.doi.org/10.18086/swc.2015.10.39.

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Ortiz-Laurel, Hipolito, Dietmar Rössel-Kipping, and Norbert Kanswohl. "Performance Control for a Safe and Precision Solar Drying of Curative and Aromatic Herbs." In ISES Solar World Congress 2011. Freiburg, Germany: International Solar Energy Society, 2011. http://dx.doi.org/10.18086/swc.2011.30.11.

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Xinzhuang, Gu, Jianguo Dai, and Haifeng Li. "Experimental and Numerical Analysis on the Grain Drying Based on Solar Collectors and Heat Pump." In ISES Solar World Congress 2021. Freiburg, Germany: International Solar Energy Society, 2021. http://dx.doi.org/10.18086/swc.2021.22.10.

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Castillo-Téllez, Beatriz, Carlos Vega-Gómez, Gerardo Alberto Mejía Pérez, and Beatriz Melissa A. Castillo. "Direct and Mixed Solar Drying Effect on Kinetics and Colorimetry of Edamame (Glycine max (L.) Merr.)." In ISES Solar World Congress 2021. Freiburg, Germany: International Solar Energy Society, 2021. http://dx.doi.org/10.18086/swc.2021.31.02.

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García Valladares, Octavio, Néstor Manuel Ortiz Rodríguez, Isaac Pilatowsky Figueroa, and Aidé Carolina Menchaca Valdez. "Thermal Evaluation of the Indirect Air Heating System in a Solar Thermal Drying Plant for Agricultural Products." In ISES Solar World Congress 2019/IEA SHC International Conference on Solar Heating and Cooling for Buildings and Industry 2019. Freiburg, Germany: International Solar Energy Society, 2019. http://dx.doi.org/10.18086/swc.2019.04.01.

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Castillo Téllez, Margarita, Beatriz Castillo Téllez, José Andrés Alanís Navarro, Juan Carlos Ovando Sierra, and Rachid Marzoug. "Drying of Medicinal Plants Through Hybridization of Solar Technologies, as a Proposal to Support Food Security in Mexico." In ISES Solar World Congress 2019/IEA SHC International Conference on Solar Heating and Cooling for Buildings and Industry 2019. Freiburg, Germany: International Solar Energy Society, 2019. http://dx.doi.org/10.18086/swc.2019.08.01.

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Reports on the topic "DRYING SWCC"

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Raymond, Kara, Laura Palacios, and Evan Gwilliam. Status of climate and water resources at Big Bend National Park: Water year 2019. Edited by Tani Hubbard. National Park Service, September 2022. http://dx.doi.org/10.36967/2294267.

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Climate and hydrology are major drivers of ecosystem structure and function, particularly in arid and semi-arid ecosystems. Understanding changes in climate, groundwater, streamflow, and water quality is central to assessing the condition of park resources. This report combines data collected on climate, groundwater, and springs at Big Bend National Park (NP) to provide an integrated look at climate and water conditions during water year (WY) 2019 (October 2018–September 2019). However, this report does not address the Rio Grande or its tributaries. Annual precipitation was higher than normal (1981–2010) for Big Bend NP at four of the five National Oceanic and Atmospheric Administration Cooperative Observer Program weather stations: 111% of normal for Chisos Basin, 122% of normal for Panther Junction, 155% of normal for Persimmon Gap, and 124% of normal for Rio Grande Village. Castolon had 88% of normal annual precipitation. All five stations had higher than normal rainfall in October and December, while rainfall totals were substantially below normal at all stations in November, February, and March. Monthly precipitation totals for April through September were more variable from station to station. Mean monthly maximum air temperatures were below normal in the fall months, with Panther Junction as much as 7.5°F below normal in October. Monthly temperatures from January through July were more variable. Temperatures in August and September were warmer than normal at every station, up to +9.4°F at Rio Grande Village and +8.7°F at Chisos Basin in July. The reconnaissance drought index values indicate generally wetter conditions (based on precipitation and evaporative demand) at Chisos Basin since WY2016 and at Panther Junction and Persimmon Gap since WY2015, except for WY2017. This report presents the manual and automatic groundwater monitoring results at nine wells. Five wells had their highest water level in or just before WY2019: Panther Junction #10 peaked at 99.94 ft below ground surface (bgs) in September 2018, Contractor’s Well peaked at 31.43 ft bgs in November 2018, T-3 peaked at 65.39 ft bgs in December 2018, K-Bar #6 Observation Well peaked at 77.78 ft bgs in February 2019, and K-Bar #7 Observation Well peaked at 43.18 ft bgs in February 2019. This was likely in response to above normal rainfall in the later summer and fall 2018. The other monitoring wells did not directly track within-season precipitation. The last measurement at Gallery Well in WY2019 was 18.60 ft bgs. Gallery Well is located 120 feet from the river and closely tracked the Rio Grande stage, generally increasing in late summer or early fall following higher flow events. Water levels in Gambusia Well were consistently very shallow, though the manual well measurement collected in April was 4.25 ft bgs—relatively high for the monitoring record—and occurred outside the normal peak period of later summer and early fall. The last manual measurement taken at TH-10 in WY2019 was 34.80 ft bgs, only 0.45 ft higher than the earliest measurement in 1967, consistent with the lack of directional change in groundwater at this location, and apparently decoupled from within-season precipitation patterns. The last water level reading in WY2019 at Oak Springs #1 was 59.91 ft bgs, indicating an overall decrease of 26.08 ft since the well was dug in 1989. The Southwest Network Collaboration (SWNC) collects data on sentinel springs annually in the late winter and early spring following the network springs monitoring protocol. In WY2019, 18 sentinel site springs were visited at Big Bend NP (February 21, 2019–March 09, 2019). Most springs had relatively few indications of natural and anthropogenic disturbances. Natural disturbances included recent flooding, drying, and wildlife use. Anthropogenic disturbances included flow modifications (e.g., springboxes), hiking trails, and contemporary human use. Crews observed one to seven facultative/obligate wetland plant...
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