Sensitivity of Iberian estuaries to changes in sea water temperature, salinity, river flow, mean sea level, and tidal amplitudes

Serrano, María A.; Cobos, Manuel; Magaña, Pedro; Díez‐Minguito, Manuel

doi:10.1016/j.ecss.2020.106624

Cited by 20 publications

(6 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…It will be possible to detect the direction and magnitude of the freshwater or brackish water in the sea since in this case the variation in salinity is higher than 1 g/L. Nonetheless, with an MAE of 0.74 g/L and the reduced sensibility of the sensor for high values of salinity, the use of this sensor for monitoring the changes in salinity in very stable areas where the changes are less than 0.5 g/L this sensor is not recommended [ 46 , 47 ].…”

Section: Resultsmentioning

confidence: 99%

Low-Cost Microcontroller-Based Multiparametric Probe for Coastal Area Monitoring

Parra

Viciano-Tudela

Carrasco

et al. 2023

Sensors

View full text Add to dashboard Cite

The monitoring of the coastal environment is a crucial factor in ensuring its proper management. Nevertheless, existing monitoring technologies are limited due to their cost, temporal resolution, and maintenance needs. Therefore, limited data are available for coastal environments. In this paper, we present a low-cost multiparametric probe that can be deployed in coastal areas and integrated into a wireless sensor network to send data to a database. The multiparametric probe is composed of physical sensors capable of measuring water temperature, salinity, and total suspended solids (TSS). The node can store the data in an SD card or send them. A real-time clock is used to tag the data and to ensure data gathering every hour, putting the node in deep sleep mode in the meantime. The physical sensors for salinity and TSS are created for this probe and calibrated. The calibration results indicate that no effect of temperature is found for both sensors and no interference of salinity in the measuring of TSS or vice versa. The obtained calibration model for salinity is characterised by a correlation coefficient of 0.9 and a Mean Absolute Error (MAE) of 0.74 g/L. Meanwhile, different calibration models for TSS were obtained based on using different light wavelengths. The best case was using a simple regression model with blue light. The model is characterised by a correlation coefficient of 0.99 and an MAE of 12 mg/L. When both infrared and blue light are used to prevent the effect of different particle sizes, the determination coefficient of 0.98 and an MAE of 57 mg/L characterised the multiple regression model.

show abstract

Section: Resultsmentioning

confidence: 99%

Low-Cost Microcontroller-Based Multiparametric Probe for Coastal Area Monitoring

Parra

Viciano-Tudela

Carrasco

et al. 2023

Sensors

View full text Add to dashboard Cite

show abstract

“…In this study, the same tidal range series were applied for both the historical and future scenarios, which are based on present‐day tidal harmonic constituents. Although the propagation of tides in certain estuaries and rivers can be affected by changes in water depth due to SLR (Schindelegger et al., 2018), the change is expected to be minor in the estuaries of this region, according to the trend in the tidal amplitude of −0.6 mm/yr observed between 2000 and 2015 (Serrano et al., 2020) and the results of modeling studies (Pickering et al., 2017).…”

Section: Resultsmentioning

confidence: 99%

“…(2017) projects a slight decrease in the M2 amplitude (∼2 cm) around the study area in response to a 2 m SLR. Tide gauge analysis also shows a downward trend in tidal amplitude of 0.6 mm/y between 2000 and 2015 (Serrano et al., 2020). Based on the above, the changes in tidal range are expected to be two orders of magnitude lower than the SLR at this location, and have been neglected in this study.…”

Section: Methodsmentioning

confidence: 99%

Assessing the Effects of Climate Change on Compound Flooding in Coastal River Areas

Bermúdez

Farfán

Willems

et al. 2021

Water Resources Research

View full text Add to dashboard Cite

Globally, floods are the most common natural hazard and have major economic, social, and ecological impacts on communities (CRED & UNISDR, 2015). Coastal river areas concentrate population, infrastructure, and economic activity, all of these highly vulnerable to floods (Koks et al., 2015). The effects of global warming in such already flood-prone areas raise concerns about future flood conditions, making imperative the need for reliable methods for their analysis (Seneviratne et al., 2012) and innovative approaches to their planning and management. These challenges, however, have been insufficiently addressed by regulations and policies. In the European Union (EU), the EU Floods Directive (2007/60/CE) and the Water Framework Directive (2000/60/ EC) establish the framework for assessing and managing flood risks. It defines a cycle that includes a preliminary assessment to identify areas at risk of flooding, the creation of flood hazard and risk maps, and the establishment of flood risk management plans focused on prevention, protection, and preparedness. It also establishes that these steps need to be reviewed every 6 years, and acknowledges the need to take into account the likely impact of climate change on the magnitude and frequency of floods. The European Water Framework Directive does not go beyond these procedural obligations, leaving open the question as to which methodological approaches are most appropriate for such flood risk assessments.The prediction of flooding in coastal river areas is not an easy task due to the complexity and interaction of the underlying physical processes. Elevated water levels in coastal reaches originate from the interaction of several coastal and inland drivers, such as storm surge and river discharge. These flood drivers are often not independent since they share a common meteorological forcing. For example, the combined effects of low atmospheric pressure and strong winds associated with synoptic-scale storms can induce storm surges along the coast. Concurrently, or in close succession, heavy precipitation increases freshwater runoff, and as a result leads to high river discharge. Elevated sea levels can block or slow down river drainage into the sea, leading to increased upstream water levels. Compared to flood events caused by a single driver, compound floods can usually be expected to yield higher impacts, as evidenced, for example, in the recent floods in Ravenna (Italy) (Bevacqua et al., 2017) or in the Hurricane Harvey Flood in Houston Area (Valle-Levinson

show abstract

“…Area ini, yang disebut sebagai pesisir, merupakan kunci dalam menyeimbangkan ketepatan strategi pengelolaan mitigasi bencana CC bagi keberlanjutan dan ketahanan ekosistem daratan dan ekosistem lautan yang merupakan habitat maupun tempat eksplorasi sumber daya alam bagi kelangsungan hidup manusia itu sendiri. Indonesia merupakan negara dengan tipologi kepulauan memerlukan banyak penelitian berbasis kawasan pesisir dengan kenyataan bahwa wilayah Indonesia yang didominasi pesisir merupakan wilayah yang potensial mengalami dampak langsung CC (Monbaliu et al 2014), (Dritsas 2020), (Huang et al 2019), (Serrano et al 2020), (Brown, Sharp, and Mochon Collura 2016) disamping dampak bencana lain seperti bencana geologi dan vulkanologi.…”

Section: Pendahuluanunclassified

Pendekatan Eko-Sosio Sistem Dalam Pengelolaan Potensi Banjir Kota Semarang

Sudarmanto

Rofii

2021

RIPTEK

View full text Add to dashboard Cite

The diversity and density of vegetation is key in managing flood throughout the watershed, especially in the central and downstream regions. Measures of vegetation diversity and density that can be used are the Normalized Difference Vegetation Index (NDVI) which is a measure of vegetation greenness (chlorophyll levels), Normalized Difference Water Index (NDVI) to measure vegetation wetness levels, and soil adjusted vegetation index (SAVI) for low canopy vegetation cover. For watersheds that stretch long to downstream or coastal areas, the measure of land diversity needs to be supplemented by using the Normalized Difference Built-Up Index (NDBI) indicator that is useful for land use planning. Information on this vegetation index can be obtained by processing a satellite imagery map. The benefits of processing vegetation indexes in watershed management are becoming increasingly important in the era of climate change, especially with regard to efforts to harmonization of relationships between environmental elements that include the diversity of the interests of the resident population. That's why this research was done in order to find the link between natural factors including the impacts of climate change and humans. The test began by looking for changes in the ND VI, ND WI, SA VI, and NDBI indexes from the last 5 years with the Global Indicator Spatial Association (GISA) analysis using Moran's I Global Index followed by looking for the association with the pattern of population change and the percentage of the area of the settlement. The results showed a link between Moran's I Global Index change pattern of population change and the spread of residential developments. The tendency of the distribution of this settlement area is an important point in analyzing the influence of its dispersal patterns in a watershed so that the continued impact of potential erosion, sedimentation, and flooding triggered that will be the main consideration in watershed management.

show abstract

Sensitivity of Iberian estuaries to changes in sea water temperature, salinity, river flow, mean sea level, and tidal amplitudes

Cited by 20 publications

References 23 publications

Low-Cost Microcontroller-Based Multiparametric Probe for Coastal Area Monitoring

Low-Cost Microcontroller-Based Multiparametric Probe for Coastal Area Monitoring

Assessing the Effects of Climate Change on Compound Flooding in Coastal River Areas

Pendekatan Eko-Sosio Sistem Dalam Pengelolaan Potensi Banjir Kota Semarang

Contact Info

Product

Resources

About