Tropical and subtropical dendrochronology: Approaches, applications, and prospects

Ecological Indicators, Journal Year: 2022, Volume and Issue: 144, P. 109506 - 109506

Published: Sept. 29, 2022

Tropical and subtropical forests cover only 7 % of the Earth’s land surface. Yet, they host nearly half global tree density with a high species number (∼40,000 species), store up to 25 terrestrial carbon represent one-third net primary productivity on Earth. Over last four decades, study growth in tropics has gained substantial momentum, not least because increasing application tropical climatology, ecology, geomorphology, archaeology. So far, various have been shown form rings regular, sometimes annual, layering that is driven by species’ sensitivity climatic, ecological, or geodynamic variations. Here, we provide detailed review dendrochronology studies indicating their (i) patterns, (ii) most common regions studied preferentially families genera trees employed frequently, so as an overview suitable species, (iii) approaches techniques used dendrochronology, (iv) different applications, (v) limitations inherent tree-ring research tropics. The paper concludes call for further this still understudied environment provides potential perspectives future work biodiverse region world.

Language: Английский

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Developing Robust Flood Susceptibility Model with Small Numbers of Parameters in Highly Fertile Regions of Northwest Bangladesh for Sustainable Flood and Agriculture Management

Sustainability, Journal Year: 2022, Volume and Issue: 14(7), P. 3982 - 3982

Published: March 28, 2022

The present study intends to improve the robustness of a flood susceptibility (FS) model with small number parameters in data-scarce areas, such as northwest Bangladesh, by employing machine learning-based sensitivity analysis and an analytical hierarchy process (AHP). In this study, nine most relevant elements (such distance from river, rainfall, drainage density) were chosen conditioning variables for modeling. FS was produced using AHP technique. We used empirical binormal receiver operating characteristic (ROC) curves validating models. performed Sensitivity analyses random forest (RF)-based mean Gini decline (MGD), decrease accuracy (MDA), information gain ratio find out sensitive variables. After performing analysis, least eliminated. re-ran rest enhance model’s performance. Based on previous studies weighting approach, general soil type, river/canal (Dr), land use/land cover (LULC) had higher factor weights 0.22, 0.21, 0.19, 0.15, respectively. without well study. According RF-based ratio, factors slope, elevation, while curvature density less parameters, which excluded re-running just vital parameters. Using ROC curves, new yields AUCs 0.835 0.822, It is discovered that predicted may be maintained or increased removing factors. This will aid decision-makers developing management plans examined region.

Language: Английский

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Enhancing community resilience in arid regions: A smart framework for flash flood risk assessment

Ecological Indicators, Journal Year: 2023, Volume and Issue: 153, P. 110457 - 110457

Published: June 15, 2023

This paper presents a novel framework for smart integrated risk management in arid regions. The combines flash flood modelling, statistical methods, artificial intelligence (AI), geographic evaluations, analysis, and decision-making modules to enhance community resilience. Flash is simulated by using Watershed Modelling System (WMS). Statistical methods are also used trim outlier data from physical systems climatic data. Furthermore, three AI including Support Vector Machine (SVM), Artificial Neural Network (ANN), Nearest Neighbours Classification (NNC), predict classify occurrences. Geographic Information (GIS) utilised assess potential risks vulnerable regions, together with Failure Mode Effects Analysis (FMEA) Hazard Operability Study (HAZOP) methods. module employs the Classic Delphi technique appropriate solutions control. methodology demonstrated its application real case study of Khosf region Iran, which suffers both drought severe floods simultaneously, exacerbated recent climate changes. results show high Coefficient determination (R2) scores SVM at 0.88, ANN 0.79, NNC 0.89. FMEA indicate that over 50% scenarios risk, while HAZOP indicates 30% same rate. Additionally, peak flows 24 m3/s considered occurrences can cause financial damage all techniques study. Finally, our research findings practical decision support system compatible sustainable development concepts resilience

Language: Английский

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Assessing the efficacy of hydro-ecological based wetland management approach for flood resilience of a large river catchment

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 641, P. 131761 - 131761

Published: Aug. 6, 2024

Riverine flooding is a widespread global challenge and predicted to worsen with climate change. Wetlands have been recognised as potential nature-based solution (NbS) riverine flooding, but are rapidly degrading globally, reducing their capacity store water. Furthermore, in monsoon climates, natural wetlands can prove inadequate during peak flows, reaching early the season. Management rejuvenation of these provides method overcome limitations ensure efficacy solutions for flood risk reduction. In this study, hydro-ecological based management approach adopted that formulates storage release policy by considering threshold precipitation wetland ecological requirements assessing resilience both existing rejuvenated wetlands. The applied over large river catchment, Brahmaputra River, explore efficiency proposed under different scenarios assess influence location on Additionally, rainfall distribution number present zones operationality streamflow response analysed. showed reduction at catchment outlet 1–2 % up 8 maximum At sub-catchment scale, one major tributaries observed reductions ∼ 6 scenario 30 scenario. occurrence threat level events prominent cities was reduced 60 rejuvenation. findings study demonstrate impact NbS provide guidance help develop strategies sustainable catchment-scale practices enhance resilience.

Language: Английский

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Flood Resilience and Adaptation in the Built Environment: How Far along Are We?

Sustainability, Journal Year: 2022, Volume and Issue: 14(7), P. 4096 - 4096

Published: March 30, 2022

Cities are experiencing an increased rate of climate-related extreme events threats derived from climate change. Floods one the most challenging issues to address reduce damages and losses in urban areas. Building resilience through adaptation these changing conditions has become a common goal for different disciplines involving planning future. Adaptation is widely recognized as generally applicable any field. However, there current limitations overcome architectural switch theory practice. This paper proposes critical overview literature works on flood mitigative strategies adaptive approaches considering uncertainties, linking Built Environment (BE) mitigate effects floods, operative frameworks pursue under environmental conditions. The selection accounts pivotal components BE: open spaces (OSs), buildings, users. Next, we provide relevant methodologies that have emerged literature, and, lastly, discussed, uncertainties might undermine effectiveness designed action. present aimed contribution discussion regarding necessity making adaptive, providing base future studies adaptation.

Language: Английский

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Multidecadal biogeomorphic dynamics of a deltaic mangrove forest in Costa Rica

Ocean & Coastal Management, Journal Year: 2021, Volume and Issue: 211, P. 105770 - 105770

Published: June 15, 2021

Language: Английский

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Risk Assessment of Debris Flow in a Mountain-Basin Area, Western China

Remote Sensing, Journal Year: 2022, Volume and Issue: 14(12), P. 2942 - 2942

Published: June 20, 2022

Debris flow risk comprehensively reflects the natural and social properties of debris disasters is composed disaster-causing body vulnerability carrier. The Bailong River Basin (BRB) a typical mountainous environment where regional occur frequently, seriously threatening lives residents, infrastructure, ecological security. However, there are few studies on assessment in BRB. By considering complete catchment, based remote sensing GIS methods, we selected 17 influencing factors, such as area, average slope, lithology, NPP, annual precipitation, landslide density, river fault etc. applied machine learning algorithm to establish hazard model. analysis shows that Extra Trees model most effective for assessments, with an accuracy rate 88%. Based socio-economic data disaster survey data, established by applying Contributing Weight Superposition method. We used product construct catchments at very high-risk were distributed mainly urban area Wudu District northern part Tanchang County, is, areas relatively dense economic activities high frequency. These findings indicate results provide scientific support planning measures prevent or reduce hazards. proposed methods can also be relevant guidance flows BRB other regions.

Language: Английский

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Development and Application of a Real-Time Flood Forecasting System (RTFlood System) in a Tropical Urban Area: A Case Study of Ramkhamhaeng Polder, Bangkok, Thailand

Water, Journal Year: 2022, Volume and Issue: 14(10), P. 1641 - 1641

Published: May 20, 2022

In urban areas of Thailand, and especially in Bangkok, recent flash floods have caused severe damage prompted a renewed focus to manage their impacts. The development real-time warning system could provide timely information initiate flood management protocols, thereby reducing Therefore, we developed an innovative forecasting (RTFlood system) applied it the Ramkhamhaeng polder which is particularly vulnerable floods. RTFlood consists three modules. first module prepared rainfall input data for subsequent use by hydraulic model. This used radar measured Bangkok Metropolitan Administration forecasts using TITAN (Thunderstorm Identification, Tracking, Analysis, Nowcasting) second provided task that controlled all processes system, i.e., preparation, simulation timing, post-processing output presentation. third model applying from modules simulate It dynamic, conceptual (PCSWMM, Personal Computer version Stormwater Management Model) represent drainage systems target area predict inundation areas. was evaluate system’s accuracy 116 result showed 61.2% were successfully predicted with high enough appropriate pre-warning. Moreover, indicated alerted potential 20 min earlier than separate modeling local rain stations individually. alert made possible decide on explicit controls, including pump canal gate operations.

Language: Английский

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Comprehensive Assessment of Flood Hazard, Vulnerability, and Flood Risk at the Household Level in a Municipality Area: A Case Study of Nan Province, Thailand

Water, Journal Year: 2022, Volume and Issue: 14(2), P. 161 - 161

Published: Jan. 8, 2022

Estimating flood hazard, vulnerability, and risk at the household level in past did not fully consider all relevant parameters. The main objective of this study is to improve drawback by developing a new comprehensive systematic methodology considering parameters their weighting factors. This applied case inundation municipal area Nan City Upper River Basin Thailand. Field questionnaire surveys were carried out collect pertinent data for input into estimating risk. Designed floods various return periods predicted using simulation models assessing maps constructed 10–500 years show substantial increase with periods. results are consistent damages, which significant near along riverbanks where ground elevation low, population density high, number properties high. In conclusion, yielded realistic can be used further assess effectiveness proposed mitigation measures.

Language: Английский

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The impact of urbanization on urban flood risk of Nakhon Ratchasima, Thailand

Applied Geography, Journal Year: 2023, Volume and Issue: 162, P. 103152 - 103152

Published: Nov. 24, 2023

Language: Английский

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