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Relevant bibliographies by topics / Water parameter

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Academic literature on the topic 'Water parameter'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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Journal articles on the topic "Water parameter"

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Varshney, Bhawna, and Amar Dhariwal. "Analysis of Yamuna Water Quality using Physicochemical Parameter." International Journal of Science and Research (IJSR) 10, no. 8 (2021): 114–17. https://doi.org/10.21275/mr21731115953.

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Pasha, M. F. K., and K. Lansey. "Water quality parameter estimation for water distribution systems." Civil Engineering and Environmental Systems 26, no. 3 (2009): 231–48. http://dx.doi.org/10.1080/10286600802059080.

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Repina, I. A., A. Yu Artamonov, I. A. Kapustin, A. A. Mol’kov, and V. M. Stepanenko. "Roughness Parameter of Shallow Water Bodies." Водные ресурсы 50, no. 5 (2023): 602–12. http://dx.doi.org/10.31857/s032105962360014x.

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The results of measurements of atmospheric turbulence characteristics were used to obtain parameterizations for calculating the dynamic roughness parameter and the roughness parameters for temperature and humidity for a shallow closed water body. At medium wind speeds, the results of calculations by Charnock formula are in agreement with observation data; in this case, the c parameter is three times as large as that in the case of an open ocean, and the passage from the viscous to wave mechanism occurs at high wind speeds, while the dynamic roughness parameter at the same wind speeds is greate

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Puspitarini, Rizqa, and Riva Ismawati. "KUALITAS AIR BAKU UNTUK DEPOT AIR MINUM AIR ISI ULANG (STUDI KASUS DI DEPOT AIR MINUM ISI ULANG ANGKE TAMBORA)." Dampak 19, no. 1 (2022): 1. http://dx.doi.org/10.25077/dampak.19.1.1-7.2022.

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Water for consumption purposes must be standardized, in terms of quality, physical, chemical and biological parameters, therefore will not cause side effects to health. Water quality standards indicate the recommended and permitted concentration value for all parameters. This research aims to examine the quality of water sourced from the Salak mountain springs. The location of clean water sampling was carried out on Ciapus Mount Salak raw water. Water quality test results from physical parameters of clean water including turbidity, color, total dissolved solid, temperature and odor have. Chemi

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Zhai, Mingjian, Zui Tao, Xiang Zhou, Tingting Lv, Jin Wang, and Ruoxi Li. "Water Multi-Parameter Sampling Design Method Based on Adaptive Sample Points Fusion in Weighted Space." Remote Sensing 14, no. 12 (2022): 2780. http://dx.doi.org/10.3390/rs14122780.

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The spatial representativeness of the in-situ data is an important prerequisite for ensuring the reliability and accuracy of remote sensing product retrieval and verification. Limited by the collection cost and time window, it is essential to simultaneously collect multiple water parameter data in water tests. In the shipboard measurements, sampling design faces problems, such as heterogeneity of water quality multi-parameter spatial distribution and variability of sampling plan under multiple constraints. Aiming at these problems, a water multi-parameter sampling design method is proposed. Th

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Méndez, Maikel, José A. Araya, and Luís D. Sánchez. "Automated parameter optimization of a water distribution system." Journal of Hydroinformatics 15, no. 1 (2012): 71–85. http://dx.doi.org/10.2166/hydro.2012.028.

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The hydraulic model EPANET was applied and calibrated for the water distribution system (WDS) of La Sirena, Colombia. The Parameter ESTimator (PEST) was used for parameter optimization and sensitivity analysis. Observation data included levels at water storage tanks and pressures at monitoring nodes. Adjustable parameters were grouped into different classes according to two different scenarios identified as constrained and unconstrained. These scenarios were established to evaluate the effect of parameter space size and compensating errors over the calibration process. Results from the unconst

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Jang, Dongwoo. "A Parameter Classification System for Nonrevenue Water Management in Water Distribution Networks." Advances in Civil Engineering 2018 (2018): 1–10. http://dx.doi.org/10.1155/2018/3841979.

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Nonrevenue water (NRW) in a water distribution network is the water lost from unbilled authorized consumption, apparent losses, and real losses compared to the total system input volume. Nonrevenue water is an important parameter for prioritizing water distribution network improvement intervention planning, and it is necessary to identify the affecting parameters. A factor classification system has been developed based on the factors suggested by major institutions and researchers to propose an effective NRW classification system in a water distribution network. The factor classifications used

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Wilkening, Jon. "Traveling-Standing Water Waves." Fluids 6, no. 5 (2021): 187. http://dx.doi.org/10.3390/fluids6050187.

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We propose a new two-parameter family of hybrid traveling-standing (TS) water waves in infinite depth that evolve to a spatial translation of their initial condition at a later time. We use the square root of the energy as an amplitude parameter and introduce a traveling parameter that naturally interpolates between pure traveling waves moving in either direction and pure standing waves in one of four natural phase configurations. The problem is formulated as a two-point boundary value problem and a quasi-periodic torus representation is presented that exhibits TS-waves as nonlinear superposit

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Lestari, Indri Lita, Abdul Rahman Singkam, Fenty Agustin, Pingkan Luthfiyyah Miftahussalimah, Anggie Yovita Maharani, and Rusma Lingga. "Perbandingan Kualitas Air Sumur Galian dan Bor Berdasarkan Parameter Kimia dan Parameter Fisika." BIOEDUSAINS:Jurnal Pendidikan Biologi dan Sains 4, no. 2 (2021): 155–65. http://dx.doi.org/10.31539/bioedusains.v4i2.2346.

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This study aims to analyze and compare the quality of dug well water and bore well water around the UNIB Kandang Limun campus. The descriptive method was used to analyze 60 samples, consisting of 30 water samples for each dug well and drilled well. The parameters measured were the degree of acidity (pH), total dissolved particles (TDS), salt content, and electrical conductivity (DHL). This study found that only 35% of the samples met the class I water quality standards. The samples consisted of 7 dug well samples and 14 drilled well samples. Most of the samples (53%) had an acidic pH below 6.5

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Irfan, Muhammad, Jailani Jailani, and Widya Kusumaningrum. "KARAKTERISTIK BEBERAPA PARAMETER KUALITAS AIR (FISIKA-KIMIA) DI PERAIRAN PANGEMPANG KECAMATAN MUARA BADAK KUTAI KARTANEGARA." Tropical Aquatic Sciences 1, no. 2 (2023): 90–95. http://dx.doi.org/10.30872/tas.v1i2.647.

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To find out the characteristics of sea water quality in tidal and low conditions with parameters including DO, Salinity, pH, Temperature, Turbidity, Brightness. The study was conducted from February to April 2019. The collection of water quality parameters in pangempang waters using tools contained in the laboratory at 5 station points. Results from the parameters DO, Salinity, pH, Temperature and Brightness at the research site, while for Brightness in the Laboratory of Water Quality Faculty of Fisheries and Marine Sciences. The average result of the measurement at the tide conditions on the

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Dissertations / Theses on the topic "Water parameter"

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Meixner, Thomas. "Alpine biogeochemical modeling case studies, improvements, and parameter estimation /." Diss., The University of Arizona, 1999. http://etd.library.arizona.edu/etd/GetFileServlet?file=file:///data1/pdf/etd/azu_e9791_1999_256_sip1_w.pdf&type=application/pdf.

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McCary, John. "Incorporating surficial aquifer ground-water fluxes into surface-water resource management studies." [Tampa, Fla.] : University of South Florida, 2005. http://purl.fcla.edu/fcla/etd/SFE0001095.

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Zhang, Di. "Measurement of Soil Water Content Using Ground Penetrating Radar." Thesis, KTH, Mark- och vattenteknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-99347.

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Ground Penetrating Radar (GPR) is an effective tool to measure the geological properties. A lot of information can be interpreted from the GPR data, such as soil water content. One of the common approaches is to determine the apparent electrical permittivity from the transmission velocity of the impulse electromagnetic wave, and to use empirical relationships to estimate the soil water content. For example, Ferre equation & Topp equation are all expressing the relationship between soil water content and electrical permittivity. However, this method has some limitations; most notably the ne

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Häger, Silke. "Geburtshilfliche Parameter und mütterliches Erleben bei der Wassergeburt." Doctoral thesis, Humboldt-Universität zu Berlin, Medizinische Fakultät - Universitätsklinikum Charité, 2002. http://dx.doi.org/10.18452/14719.

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Fragestellung/Hintergrund: In den letzten Jahren hat die Wassergeburt eine weite Verbreitung gefunden. Die Geburt eines Kindes ist als 'life-event' (Kentenich) im Leben werdender Eltern zunehmend ins Bewusstsein gerückt. So soll nach den Forderungen der Eltern in möglichst häuslicher Umgebung mit Freiraum für eigene Gestaltung das Spektrum medizinisch-technischer Möglichkeiten im Bedarfsfall verfügbar sein. Um Zufriedenheit mit dem Geburtserlebnis zu erreichen, müssen die an eine Geburtsklinik gestellten Erwartungen erfüllt werden. So ist es unser Anliegen, eine Geburtshilfe anzubieten, welche

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Bastway, Mohammed Omer Abdalrahim. "Effect of Khartoum City for Water Quality : chemical analyses." Thesis, Linköping University, Department of Water and Environmental Studies, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-10239.

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<p>This thesis assesses the water quality of the River Nile around the city Khartoum in Khartoum State, Sudan Republic, and investigates eventual influences of the city on the River Nile by analysis of the following parameters: temperature, pH, and conductivity, and Adsorbable Organic Halogen (AOX), cadmium (Cd), lead (Pb), chromium (Cr), Total Organic Carbon(TOC) and Nitrate (NO3− ). A survey of the area is also included. It was concluded that the city Khartoum added small but legible concentrations of cadmium, lead, chromium and TOC to the river Nile. However, the resulting concentrations we

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Sinha, Sumit. "Parameter estimation and auto-calibration of the STREAM-C model." Master's thesis, Mississippi State : Mississippi State University, 2005. http://library.msstate.edu/content/templates/?a=72.

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Kapangaziwiri, Evison. "Revised parameter estimation methods for the Pitman monthly rainfall-runoff model." Thesis, Rhodes University, 2008. http://hdl.handle.net/10962/d1006172.

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In recent years, increased demands have been placed on hydrologists to find the most effective methods of making predictions of hydrologic variables in ungauged basins. A huge part of the southern African region is ungauged and, in gauged basins, the extent to which observed flows represent natural flows is unknown, given unquantified upstream activities. The need to exploit water resources for social and economic development, considered in the light of water scarcity forecasts for the region, makes the reliable quantification of water resources a priority. Contemporary approaches to the probl

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Hamilton, Jesse I. "Measuring Cardiac Relaxation Times and Multi-Compartment Water Exchange with Magnetic Resonance Fingerprinting." Case Western Reserve University School of Graduate Studies / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=case1516623094532442.

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Franklin, de Oliveira Guilherme. "Multi-parameter Compensation Method for Accurate in Situ Fluorescent Dissolved Organic Matter Monitoring and Properties Characterisation." Thesis, Griffith University, 2018. http://hdl.handle.net/10072/384789.

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Removing dissolved organic matter (DOM) from the source water is critical for the drinking water treatment process. The low molecular weight hydrophilic fraction of DOM is generally recalcitrant to removal by coagulation, and the DOM bypassing the coagulation/filtration stages of treatment will likely react with the disinfecting agent at the end of the treatment process, leading to the formation of potentially carcinogenic disinfection by products (DBPs) such as trihalomethanes (THMs). Each specific fraction of DOM reacts with a particular disinfecting agent to form different DBPs; some with h

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Chen, Jinduan. "Stochastic Demand-hydraulic Model of Water Distribution Systems." University of Cincinnati / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1439301579.

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Books on the topic "Water parameter"

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Rossknecht, Henno. Langjährige Entwicklung chemischer Parameter im Bodensee-Obersee. Internationale Gewässerschutzkommission für den Bodensee, 1998.

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T, Johnson J., and United States. National Aeronautics and Space Administration., eds. Third stokes parameter emission from a periodic water surface. National Aeronautics and Space Administration, 1991.

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Langhammer, Jörg. Dynamik physikalisch-chemischer Parameter in Bächen des Kaiserstuhls: Beispiel Rippach, Ostkaiserstuhl. Verlag Beiträge zur Hydrologie, 1988.

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Long, Charles E. Three-parameter characterization of shallow-water directional wind wave spectra. U.S. Army Engineer Waterways Experiment Station, 1994.

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Amatya, Devendra. Lumped parameter models for predicting nitrogen loading from lower coastal plain watersheds. Water Resources Research Institute of the University of North Carolina, 2003.

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Holmes, K. John. Field application of parameter identification in groundwater contaminant transport modeling: A case study. University of Washington, Dept. of Civil Engineering, 1987.

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Adams, C. D. Pesticide degradates in water treatment: Oxidative formation and partitioning parameter estimation. Water Research Foundation, 2011.

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Kiser, Stephen D. Water: The hydraulic parameter of conflict in the Middle East and North Africa. USAF Institute for National Security Studies, USAF Academy, 2000.

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New York (State). Division of Water. Bureau of Monitoring and Assessment, ed. Report of the fixed station conventional parameter water quality surveillance network, 1985. New York State/Dept. of Environmental Conservation, 1986.

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Groschen, G. E. Evaluation of measurements collected with multi-parameter continuous water-quality monitors in selected Illinois streams, 2001-03. U.S. Geological Survey, 2005.

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Book chapters on the topic "Water parameter"

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Momber, Andreas W., and Radovan Kovacevic. "Process-Parameter Optimization." In Principles of Abrasive Water Jet Machining. Springer London, 1998. http://dx.doi.org/10.1007/978-1-4471-1572-4_7.

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Casazza, Marco. "Climate Parameter Variability." In Handbook of Drought and Water Scarcity. CRC Press, 2017. http://dx.doi.org/10.1201/9781315226781-4.

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Leavesley, G. H., L. E. Hay, R. J. Viger, and S. L. Markstrom. "Use of a priori parameter-estimation methods to constrain calibration of distributed-parameter models." In Water Science and Application. American Geophysical Union, 2003. http://dx.doi.org/10.1029/ws006p0255.

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Nandi, Saswata, and Manne Janga Reddy. "Parameter Estimation of a Macroscale Hydrological Model Using an Adaptive Differential Evolution." In Water Management and Water Governance. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58051-3_17.

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Moharir, Kanak, Chaitanya Pande, R. S. Patode, M. B. Nagdeve, and Abhay M. Varade. "Prioritization of Sub-watersheds Based on Morphometric Parameter Analysis Using Geospatial Technology." In Water Management and Water Governance. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58051-3_2.

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Rana, Mrunalini H., Dhruvesh P. Patel, and Vinay Vakharia. "Hydrodynamic Modeling Parameter Sensitivity Analysis Using UAV Based DEM and Satellite Image." In Springer Water. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-4072-7_14.

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Koren, Victor, Michael Smith, and Qingyun Duan. "Use of a priori parameter estimates in the derivation of spatially consistent parameter sets of rainfall-runoff models." In Water Science and Application. American Geophysical Union, 2003. http://dx.doi.org/10.1029/ws006p0239.

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Eppstein, M. J., and D. E. Dougherty. "Parameter Estimation with Data-Driven Zonation." In Computational Methods in Water Resources X. Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-010-9204-3_88.

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Troesch, J., and U. Kuhlmann. "Parameter Estimation and Modeling in Groundwater." In Computational Methods in Water Resources X. Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-010-9204-3_99.

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Kumar, Sunil, Prabal Pratap Singh, Vishal Awasthi, Alok Kumar, and Ritesh Agarwal. "Transfer Learning and Transformer for Multi-parameter Water Quality Assessment: A Novel Framework." In Water Informatics for Water Resource Management. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-3886-4_4.

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Conference papers on the topic "Water parameter"

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Fu, Haiyang, Xiao Chen, Zhenxing Li, and Chengdong Yang. "Deep Learning-Based Water Quality Parameter Prediction." In 2024 6th International Conference on Frontier Technologies of Information and Computer (ICFTIC). IEEE, 2024. https://doi.org/10.1109/icftic64248.2024.10913080.

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Bahadur, Arshad Mohammad, Najmus Sakib, Kazi Md Hussein Moinuddin, Tanzimul Islam, and A. K. M. Muzahidul Islam. "Cloud-Based Water Parameter Monitoring for Smart Fisheries." In 2024 IEEE Region 10 Symposium (TENSYMP). IEEE, 2024. http://dx.doi.org/10.1109/tensymp61132.2024.10752142.

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Martinez-Ríos, Erick Axel, and Rogelio Bustamante-Bello. "Parameter Selection of Generalized Morse Wavelets for Water Leakage Classification." In 2024 21st International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE). IEEE, 2024. https://doi.org/10.1109/cce62852.2024.10770991.

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Liang, Yingfei, Jianwei Ren, Long Kang, Zhongcheng Sha, Hongbin Wang, and Tianshu Jiang. "Shallow Water Environmental Parameter Inversion Method Based on Multipath Fusion Network." In 2024 6th International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI). IEEE, 2024. https://doi.org/10.1109/mlbdbi63974.2024.10823993.

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Feng, Yongkang, Mengli Cao, and Shuo Pang. "Experimental Comparison of Improved GBDT Methods for Water Quality Parameter Prediction." In 2025 8th International Conference on Advanced Algorithms and Control Engineering (ICAACE). IEEE, 2025. https://doi.org/10.1109/icaace65325.2025.11019983.

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Ndebvu, Stanley, Reuben Moyo, Joseph Kumwenda, et al. "Water Parameter Estimation Application Using Statistical Learning: The Context of Malawi." In 2025 IST-Africa Conference (IST-Africa). IEEE, 2025. https://doi.org/10.23919/ist-africa67297.2025.11060528.

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Gerios, Veronica Lynn, Natalie Becerra-Stasiewicz, Sean Morefield, and Cristina Fleig Mayer. "Visualizing Correlations of Water Quality and Cathodic Protection Parameters." In CONFERENCE 2023. AMPP, 2023. https://doi.org/10.5006/c2023-19333.

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Abstract Two remote monitoring & control units (RMCU) and four remote monitoring units (RMU) were installed at the cathodic protection systems on Selden Lock & Dam. Water quality parameters recorded upstream from Selden Lock & Dam were correlated to different remote monitoring unit parameters. For RMUs, coupon AC current density, coupon DC current density, structure AC potential, structure DC potential, and coupon DC instant off measurements were compared to temperature, specific conductance, total dissolved solids, pH, and dissolved oxygen. For RMCUs, rectifier downstream current,

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Miskay, Marek, Miriam Kadlubcova, and Karla Barcova. "INFLUENCE OF WATER MIST AND ITS PARAMETERS ON FIRE SUPPRESSION." In 24th SGEM International Multidisciplinary Scientific GeoConference 2024. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024/5.1/s20.21.

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Water mist systems are increasingly used in a wide range of applications. These systems play an important role in fire suppression, firefighting, and generally in combating the effects of fire. Water has the ability to reduce ambient, flame and fuel temperatures. It is also capable of wetting the fuel and preventing the spread of flames to unburned fuel. It has the ability to displace oxygen and combustible gases from an area, reduce the spread of radiant heat, or trap toxic or other particles from smoke. The effectiveness of water mist depends on its parameters. This article focuses on the mo

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Tsai, Frank T. C. "On Prior Parameter Structure Investigation to Parameter Uncertainty." In World Water and Environmental Resources Congress 2005. American Society of Civil Engineers, 2005. http://dx.doi.org/10.1061/40792(173)378.

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Pasha, M. F. K., and K. Lansey. "Water Quality Parameter Estimation for Water Distribution Systems Considering Parameter and Measurement Uncertainties." In World Environmental and Water Resources Congress 2010. American Society of Civil Engineers, 2010. http://dx.doi.org/10.1061/41114(371)445.

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Reports on the topic "Water parameter"

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Panda, Kinshuk, Bernard Knueven, Ethan Young, Sam Helman, Jeffery Allen, and Alexander Dudchenko. Using Parameter Sweep in WaterTAP to Analyze New Water Treatment Technologies. Office of Scientific and Technical Information (OSTI), 2024. http://dx.doi.org/10.2172/2448281.

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Dammeyer, Nathan, Jarrett Wansley, and Jeb Wofford. Status and trends of water quality in the Mid-Atlantic Inventory and Monitoring Network, water years 2011?2023. National Park Service, 2024. http://dx.doi.org/10.36967/2303698.

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The Mid-Atlantic Inventory and Monitoring Network (MIDN) monitors water quality due to the ecological, management, and policy significance of aquatic resources in MIDN parks. Specifically, water quality is monitored due to the direct effect it has on aquatic communities, the National Park Service?s responsibilities for the protection and improvement of water quality, and the clear connection to state-based regulatory programs. Here we provide a summary report on the status and trends in ?core? water quality parameters as defined by the National Park Service (i.e., pH, dissolved oxygen, water t

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Snyder, Sandra F., Carmen Arimescu, Bruce A. Napier, and Tristan R. Hay. Recommended Parameter Values for GENII Modeling of Radionuclides in Routine Air and Water Releases. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1120105.

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Bloomsburg, G., J. Finnie, D. Horn, B. King, and J. Liou. Abstracts and parameter index database for reports pertaining to the unsaturated zone and surface water-ground water interactions at the Idaho National Engineering Laboratory. Office of Scientific and Technical Information (OSTI), 1993. http://dx.doi.org/10.2172/10103992.

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Smith, T. R. In-situ parameter estimation for solar domestic hot water heating systems components. Final report, June 1995--May 1996. Office of Scientific and Technical Information (OSTI), 1997. http://dx.doi.org/10.2172/631225.

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Wright, Wendy, M. Gregory, and Jennifer Asper. Assessment of coastal water quality at Fort Matanzas National Monument, 2012. National Park Service, 2013. https://doi.org/10.36967/2193728.

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The Southeast Coast Network conducted an assessment of water and sediment quality at Fort Matanzas National Monument as a part of the Network’s Vital Signs Monitoring program in July 2012. Monitoring was conducted following methods and standards developed by the U.S. Environmental Protection Agency as a part of the National Coastal Assessment Program and included parameter estimates of water clarity, chlorophyll a, total dissolved nitrogen, phosphorous, and dissolved oxygen. Overall water quality index rating for the park area is fair, with three sites rated as poor, 20 rated as fair and eight

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Shillito, Rose, Markus Berli, and Teamrat Ghezzehei. Quantifying the effect of subcritical water repellency on sorptivity : a physically based model. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41054.

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Soil water wettability or water repellency is a phenomenon that can affect infiltration and, ultimately, runoff. Thus, there is a need to develop a model that can quantitatively capture the influence of water repellency on infiltration in a physically meaningful way and within the framework of existing infiltration theory. The analytical model developed in this study relates soil sorptivity (an infiltration parameter) with contact angle (a direct measure of water repellency) for variably saturated media. The model was validated with laboratory experiments using a silica sand of known propertie

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Zimmerman, D., R. Hanson, and P. Davis. A comparison of parameter estimation and sensitivity analysis techniques and their impact on the uncertainty in ground water flow model predictions. Office of Scientific and Technical Information (OSTI), 1991. http://dx.doi.org/10.2172/5545962.

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Paule, Bernard, Flourentzos Flourentzou, Tristan de KERCHOVE d’EXAERDE, Julien BOUTILLIER, and Nicolo Ferrari. PRELUDE Roadmap for Building Renovation: set of rules for renovation actions to optimize building energy performance. Department of the Built Environment, 2023. http://dx.doi.org/10.54337/aau541614638.

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In the context of climate change and the environmental and energy constraints we face, it is essential to develop methods to encourage the implementation of efficient solutions for building renovation. One of the objectives of the European PRELUDE project [1] is to develop a "Building Renovation Roadmap"(BRR) aimed at facilitating decision-making to foster the most efficient refurbishment actions, the implementation of innovative solutions and the promotion of renewable energy sources in the renovation process of existing buildings. In this context, Estia is working on the development of infer

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Davis, Andy, Andrea Atkinson, Michael Feeley, et al. Coral reef ecosystem water temperature monitoring: Protocol narrative—version 1.2. National Park Service, 2025. https://doi.org/10.36967/2308365.

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Abstract:

The Coral Reef Ecosystem Water Temperature Monitoring protocol is a guide for the deployment, maintenance, and data management of South Florida/Caribbean Network temperature loggers. These loggers are deployed at long-term benthic monitoring sites and help interpret coral health at these locations. The three primary objectives for this monitoring protocol include: 1) Determine occurrence and duration of warm- and cold-water events that exceed thresholds known to cause stress (e.g., coral bleaching) to coral species for the purpose of interpreting trends in coral community metrics; 2) Determine

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