CLASI: coordinating innovative observations and modeling to improve coastal environmental prediction systems

The Coastal Land-Air-Sea-Interaction (CLASI) project aims to develop new “coast-aware” atmospheric boundary and surface layer parameterizations that represent the complex land-sea transition region through innovative observational and numerical modeling studies. The CLASI field effort will involve an extensive array of more than 40 land- and ocean-based moorings and towers deployed within varying coastal domains, including sandy, rocky, urban, and mountainous shorelines. Eight Air-Sea Interaction Spar (ASIS) buoys are positioned within the coastal and nearshore zone, the largest and most concentrated deployment of this unique, established measurement platform. Additionally, an array of novel nearshore buoys, and a network of land-based surface flux towers are complimented by spatial sampling from aircraft, shore-based radars, drones and satellites. CLASI also incorporates unique electromagnetic wave (EM) propagation measurements using coherent transmitter/receiver arrays to understand evaporation duct variability in the coastal zone. The goal of CLASI is to provide a rich dataset for validation of coupled, data assimilating large eddy simulations (LES) and the Navy’s Coupled Ocean/Atmosphere Mesoscale Prediction System (COAMPS®). CLASI observes four distinct coastal regimes within Monterey Bay, California (MB). By coordinating observations with COAMPS and LES simulations, the CLASI efforts will result in enhanced understanding of coastal physical processes and their representation in numerical weather prediction (NWP) models tailored to the coastal transition region. CLASI will also render a rich dataset for model evaluation and testing in support of future improvements to operational forecast models.

Suitability of Post-Disaster Coastal Land Cover with Spatial Pattern Plan of Palu City

The population growth in Palu City has implications for increasing the need for developed land, especially after complex natural disasters in 2018. After these disasters, another impact was the need for the construction of temporary and permanent housing. Therefore, it is essential to adjust the land use with disaster-prone zones. This study aims to analyze the distribution of land cover in the Disaster-Prone Zone and the suitability of the Spatial Plan with the Disaster-Prone Zone. The method used is quantitative through spatial analysis using ArcGIS 10.5 software. The results showed that Disaster Prone Zone 2 is the most dominating zone in both the type of built-up land cover and vegetation so that it still had development opportunities. However, the suitability of the Spatial Planning with Disaster Prone Zone shows that Disaster Prone Zone 4 is still included in the spatial plan as a developed area.

Application of Supervised Machine Learning Technique on LiDAR Data for Monitoring Coastal Land Evolution

Machine Learning (ML) techniques are now being used very successfully in predicting and supporting decisions in multiple areas such as environmental issues and land management. These techniques have also provided promising results in the field of natural hazard assessment and risk mapping. The aim of this work is to apply the Supervised ML technique to train a model able to classify a particular gravity-driven coastal hillslope geomorphic model (slope-over-wall) involving most of the soft rocks of Cilento (southern Italy). To train the model, only geometric data have been used, namely morphometric feature maps computed on a Digital Terrain Model (DTM) derived from Light Detection and Ranging (LiDAR) data. Morphometric maps were computed using third-order polynomials, so as to obtain products that best describe landforms. Not all morphometric parameters from literature were used to train the model, the most significant ones were chosen by applying the Neighborhood Component Analysis (NCA) method. Different models were trained and the main indicators derived from the confusion matrices were compared. The best results were obtained using the Weighted k-NN model (accuracy score = 75%). Analysis of the Receiver Operating Characteristic (ROC) curves also shows that the discriminating capacity of the test reached percentages higher than 95%. The model, resulting more accurate in the training area, will be extended to similar areas along the Tyrrhenian coastal land.

A study of tides and storm surges in offshore waters of the Meghna estuary using a finite element model

Tropical Cyclones which develop in the Andaman Sea and the Bay of Bengal during the inter monsoon months (April-May, October-December), move either westwards affecting the east coast of India or recurve to the north or northeast and eventually cross the coast of Bangladesh or Myanmar. Extensive damage is caused to the life and property by the storm surge as much of the coastal land around the Bay of Bengal is densely populated. The damage caused by a cyclone induced surge depends to a considerable extent on whether the surge peaks at or close to high tide. The main purpose of the present study was to develop a combined time-surge model for the off-shore waters in the Meghna estuary. It seems clear that the strong, predominantly southward current measured at Site A, south of Sandwip Island, has substantial magnifying and delaying effect on tidal elevation and current. But the areal extent of this modification of the tide is unknown at present. Further, it is impossible to say whether the fast southward current forms a narrow jet or a broad current many kilometers wide, but it is important to know which is the case before the effect can be modelled satisfactorily.

High Ground, Low Ground: Explorations in Topography and Neighbourliness in Coastal Dune Settlement

<p>The desire to live close to the ocean often brings about settlement that sprawls along the beachfront, parallel to the coastline. This settlement structure is problematic as it diminishes the importance of community while exposing beachfront housing to coastal hazards. The coastal dune settlements of Waikanae and Paraparaumu, where this research has been undertaken, exhibits this problematic settlement structure. Using these sites as a case study, the research seeks to re-examine the New Zealand coastal land settlement formation. It explores what could happen if the current coastal settlement pattern re-organised as a more social structure? The research is investigating an approach to settlement through re-examining the idea of neighbourhood by looking at its whole relation to the coastal dune topography, ecology, and wider landscape relations. However, not only does this research look at the social potentials of coastal settlement but how disaster planning can become a device to achieve this outcome. Essentially, it aligns itself with the attitude that flooding and coastal hazards should not just be looked at as an engineering problem but an opportunity to alter the way in which we settle coastlines in a way that builds community.</p>

High Ground, Low Ground: Explorations in Topography and Neighbourliness in Coastal Dune Settlement

<p>The desire to live close to the ocean often brings about settlement that sprawls along the beachfront, parallel to the coastline. This settlement structure is problematic as it diminishes the importance of community while exposing beachfront housing to coastal hazards. The coastal dune settlements of Waikanae and Paraparaumu, where this research has been undertaken, exhibits this problematic settlement structure. Using these sites as a case study, the research seeks to re-examine the New Zealand coastal land settlement formation. It explores what could happen if the current coastal settlement pattern re-organised as a more social structure? The research is investigating an approach to settlement through re-examining the idea of neighbourhood by looking at its whole relation to the coastal dune topography, ecology, and wider landscape relations. However, not only does this research look at the social potentials of coastal settlement but how disaster planning can become a device to achieve this outcome. Essentially, it aligns itself with the attitude that flooding and coastal hazards should not just be looked at as an engineering problem but an opportunity to alter the way in which we settle coastlines in a way that builds community.</p>

Land reclamation pattern and environmental regulation guidelines for port clusters in the Bohai Sea, China

Coastal land reclamation (CLR), particularly port reclamation, is a common approach to alleviating land shortages. However, the spatial extent, percentages, and processes of these newly reclaimed ports are largely unknown. The Bohai Sea is the most concentrated area of port reclamation worldwide. Thus, this study addresses the changes in the different coastline types and port reclamation process in the area. The reclamation area of the 13 ports in the Bohai Sea in 2002–2018 was 2,300 km2, which decreased the area of the sea by 3%. The natural coastline length in Tianjin decreased by 47.5 km, whereas the artificial coastline length increased by 46.6 km. Based on the port boundary, however, only 26.3% of the reclaimed areas have been used for port construction, which concentrates in the Tianjin and Tangshan ports. The ratio of built-up area within the ports is only 32.5%, and approximately 48.3% of the reclaimed areas have no construction projects. The port land reclamation in the Bohai Sea has been undergoing periods of acceleration, peak, deceleration, and stagnation since 2002. Hence, future port reclamation should not be totally prohibited, and fine management should be conducted based on the optimization of the reclaimed port area. The innovation of this research is its analysis of the port internal land use pattern, the percentage of built-up area in the ports, and the sustainability of port reclamation policies. The findings have vital implications for scientifically regulating the spatial pattern and exploring the utility of port reclamation.