scholarly journals Vulnerability assessment due to the climate change in Vinh Long province

2019 ◽  
Vol 2 (5) ◽  
pp. 161-170
Author(s):  
Tuan Ngoc Le ◽  
Bang Van Nguyen
Keyword(s):  
Climate Change ◽  
Risk Assessment ◽  
Adaptive Capacity ◽  
Vulnerability Assessment ◽  
Saltwater Intrusion ◽  
Capacity Assessment ◽  
Index Method ◽  
Temperature And Precipitation ◽  
Assessment Matrix ◽  
The Relationship

This work aimed to assess the vulnerability to the climate change (CC) in Vinh Long province till 2020. Inundation, saltwater intrusion (SI), drought, riverbank landslide, storm, temperature and precipitation were taken into consideration. In addition to the socialogical investigation, risk assessment matrix, adaptive capacity assessment methods, etc. the vulnerability to CC was evaluated via index method. Results showed that among 8 districts in the province, Long Ho, Vung Liem, Vinh Long city, and Tam Binh were the most vulnerable. Besides, sectors interested in the relationship to CC include agriculture, infrastructure, and landuse. Indicated vulnerable sectors and areas in the province were important factor for planning suitable coping measures, especially in the context of CC seriously increasing.

scholarly journals Assessment of climate change impacts on agricultural sector in Vinh Long province

2019 ◽  
Vol 2 (1) ◽  
pp. 102-111
Author(s):  
Le Ngoc Tuan ◽  
Tran Thi Thuy
Keyword(s):  
Climate Change ◽  
Saltwater Intrusion ◽  
Agricultural Sector ◽  
Climate Change Impacts ◽  
Processing Method ◽  
Factors Affecting ◽  
Temperature And Precipitation ◽  
Assessment Matrix ◽  
Main Factors ◽  
Impacts Of Climate Change

Climate change is one of the major challenges for humanity in the 21st century, has negatively affected many sectors. This work aimed at assessing impacts of climate change (CC) on agricultural sector in Vinh Long province till 2020 via data collection and processing method, Geographic Information System (GIS), risk assessment matrix, and SWOT. Flood, saltwater intrusion (SI), drought, landslide, storm, temperature, and precipitation were taken into consideration. Flood, SI, and temperature were found as main factors affecting on agricultural sector in Vinh Long province, especially rice. In Vinh Long province, Vung Liem, Long Ho, and Binh Tan districts were significantly effected. Besides, this work proposed some solutions to improve the adaptive capacity to CC of this sector, contributing to the local sustainable development.

scholarly journals Determining the Most Sensitive Socioeconomic Parameters for Quantitative Risk Assessment

Climate ◽  
2019 ◽  
Vol 7 (9) ◽  
pp. 107
Author(s):  
Marin Akter ◽  
Rubaiya Kabir ◽  
Dewan Sadia Karim ◽  
Anisul Haque ◽  
Munsur Rahman ◽  
...  
Keyword(s):  
Climate Change ◽  
Risk Assessment ◽  
Vulnerability Assessment ◽  
Quantitative Risk Assessment ◽  
Programming System ◽  
Socioeconomic Indicators ◽  
Intergovernmental Panel ◽  
Assessment Report ◽  
Non Linear Programming ◽  
Kolmogorov Smirnov

Risk assessment of climatic events and climate change is a globally challenging issue. For risk as well as vulnerability assessment, there can be a large number of socioeconomic indicators, from which it is difficult to identify the most sensitive ones. Many researchers have studied risk and vulnerability assessment through specific set of indicators. The set of selected indicators varies from expert to expert, which inherently results in a biased output. To avoid biased results in this study, the most sensitive indicators are selected through sensitivity analysis performed by applying a non-linear programming system, which is solved by Karush-Kuhn-Tucker conditions. Here, risk is assessed as a function of exposure, hazard, and vulnerability, which is defined in the Intergovernmental Panel on Climate Change (IPCC) Fifth Assessment Report (AR5), where, exposure and vulnerability are described via socioeconomic indicators. The Kolmogorov-Smirnov statistical test is applied to select the set of indicators that are the most sensitive for the system to assess risk. The method is applied to the Bangladesh coast to determine the most sensitive socioeconomic indicators in addition to assessing different climatic and climate change hazard risks. The methodology developed in this study can be a useful tool for risk-based planning.

scholarly journals Assessment of Climate Change Vulnerability at the Local Level: A Case Study on the Dniester River Basin (Moldova)

2013 ◽  
Vol 2013 ◽  
pp. 1-13 ◽  
Author(s):  
Roman Corobov ◽  
Igor Sîrodoev ◽  
Sonja Koeppel ◽  
Nickolai Denisov ◽  
Ghennadi Sîrodoev
Keyword(s):  
Climate Change ◽  
Adaptive Capacity ◽  
Local Level ◽  
Housing Conditions ◽  
Socioeconomic Characteristics ◽  
Temperature And Precipitation ◽  
Sensitivity Assessment ◽  
Vulnerability To Climate Change ◽  
Relative Vulnerability

Vulnerability to climate change of the Moldavian part of the Dniester river was assessed as the function of exposure, sensitivity, and adaptive capacity of its basin’s natural and socioeconomic systems. As a spatial “scale” of the assessment, Moldova’s administrative-territorial units (ATUs) were selected. The exposure assessment was based on the climatic analysis of baseline (1971–2000) temperature and precipitation and projections of their changes in 2021–2050, separately for cold and warm periods. The sensitivity assessment included physiographical and socioeconomic characteristics, described by a set of specific indicators. The adaptive capacity was expressed by general economic and agricultural indicators, taking into consideration the medical provision and housing conditions. Through a ranking approach, the relative vulnerability of each ATU was calculated by summing its sensitivity and adaptive capacity ranks; the latter were obtained as combinations of their primary indicator ranks, arranged in an increasing and decreasing order, respectively. Due to lack of sound knowledge on these components' importance in overall assessment of vulnerability, their weights were taken as conventionally equal. Mapping of vulnerability revealed that ATUs neighboring to municipalities are the most vulnerable and need special attention in climate change adaptation. The basin’s “hotspots” were discussed with public participation.

The Impact of Climate Change on Agriculture in Morocco: An Econometric Study

2020 ◽  
Vol 1 (2) ◽  
pp. 19-28
Author(s):  
Faycel Tazigh
Keyword(s):  
Climate Change ◽  
Linear Regression ◽  
Regression Model ◽  
Multiple Linear Regression ◽  
Linear Regression Model ◽  
Multiple Linear Regression Model ◽  
Independent Variables ◽  
Temperature And Precipitation ◽  
The Impact ◽  
The Relationship

This paper aims to analyze the relationship that may exist between climate change and cereal yield in Morocco. In order to study this correlation between variables, we used the most common form of regression model which is the multiple linear regression model. There are two main uses of multiple linear regression model. The first one is to quantify the weight of impact that the independent variables had on the dependent variable. The second use is to predict not only the relationship that may found between variables but also their impacts. In our case, we have chosen temperature and precipitation as an independent variables and cereal yield as dependent variable.

A framework for assessing climate change vulnerability of the Canadian forest sector

2007 ◽  
Vol 83 (3) ◽  
pp. 358-361 ◽  
Author(s):  
Mark Johnston ◽  
Tim Williamson
Keyword(s):  
Climate Change ◽  
Forest Management ◽  
Adaptive Capacity ◽  
Vulnerability Assessment ◽  
National Forest ◽  
Forest Sector ◽  
Climate Variability And Change ◽  
Exposure System ◽  
System Sensitivity ◽  
Key Words Climate Change

We present a framework for assessing the vulnerability of the Canadian forest sector to climate variability and change. The framework includes factors of exposure, system sensitivity and adaptive capacity, which are applied to the Canadian forest sector. We summarize sources of exposure and sensitivities of the Canadian forest sector and then address the adaptive capacity of forest management and forest-based communities. We suggest that the adaptive capacity of the forest sector is likely to be high, but needs to be rigorously tested. We conclude by advocating a national forest sector vulnerability assessment, and emphasize that this needs to be an inclusive, stakeholder-driven process. Key words: climate change, adaptation, vulnerability, forest sector, forest communities

scholarly journals Climate change risk assessment for the Republic of Korea: developing a systematic assessment methodology

2021 ◽  
Author(s):  
Young-Il Song ◽  
Seunghan Lee
Keyword(s):  
Climate Change ◽  
Risk Assessment ◽  
Adaptive Capacity ◽  
Scientific Evidence ◽  
National Level ◽  
Assessment Process ◽  
Adaptation Policy ◽  
Risk Assessment Process ◽  
Systematic Assessment ◽  
Climate Change Risks

AbstractClimate change risks have become a major concern of climate change adaptation, and a systematic risk assessment is required as the first step as well as a key principle of national adaptation policy processes. Although many countries conducted risk assessments, a debate over a systematic assessment process continues, and results of the risk assessment provide limited information to making adaptation policies. Based on a case study of South Korea, this research aims to establish a national-level risk assessment process which includes systematic methodologies given the current limited time/resource and insufficient climate change information. A four-step risk assessment process is proposed: (1) collecting scientific evidence, (2) making list of preliminary risks, (3) making lists of risks and prioritising the risks, (4) categorising the risks. Enough scientific evidence and data about climate change risks of Korea were retained through first two steps, and three components of risk (hazard, exposure, vulnerability) are systematically involved by assessing the magnitude and adaptive capacity of risks. As results of the risks assessment, 93 national-level climate change risks of Korea are identified, and most high priorities in risks have high risk magnitude but low adaptive capacity. This research provided insights for direction of national adaptation policy of each sector by categorising the risks into four categories.

scholarly journals Perspectives on Energy Insecurity and Its Impacts on Urban Livelihoods: Adaptation and Resilience of Women in the Informal Sector

2021 ◽  
Vol 3 ◽  
Author(s):  
Memory Reid ◽  
Mulala Danny Simatele
Keyword(s):  
Climate Change ◽  
Adaptive Capacity ◽  
Informal Sector ◽  
Alternative Energy ◽  
Electricity Supply ◽  
African Countries ◽  
Temperature And Precipitation ◽  
Poor Households ◽  
Home Based ◽  
Urban Livelihoods

Variability in temperature and precipitation due to climate change is predicted to significantly impact on Southern African countries' resources. These variations have the potential to affect the energy sector due to a heavy reliance on hydropower for electricity in the region. Energy insecurity is largely felt in cities as they are large consumers of the resource. This negatively impacts on urban livelihoods reliant on electricity like those in the informal sector. A survey of electricity dependent home-based informal businesses operated by women was conducted, to generate information on the vulnerability of urban livelihoods to energy insecurity in Harare, Zimbabwe. Households across all socio-economic backgrounds performed informal businesses to supplement household income and were heavily depended on the irregular electricity supply. Women from poor households managing informal businesses were disproportionately affected by the unstable electricity supply, as they could not afford alternative energy sources to continue business operations during power cuts. This accentuated their low adaptive capacity and vulnerability to climate change induced stresses. This paper brings to light the importance of improving the resilience and adaptive capacity of urban livelihoods to climate change related challenges like energy insecurity, whilst exploring climate-resilient energy options to sufficiently mitigate against the impacts of climate change on energy security.

scholarly journals Assessing the level of vulerability due to climate change in extremely poor coastal communes in Quang Binh, Quang Tri, and Thua Thien Hue provinces, Vietnam

2021 ◽  
Vol 66 (2) ◽  
pp. 133-150
Author(s):  
Hoang Son NGUYEN ◽  
Trong Quan NGUYEN
Keyword(s):  
Climate Change ◽  
Adaptive Capacity ◽  
Central Region ◽  
Vulnerability Assessment ◽  
Assessment Method ◽  
Coastal Areas ◽  
The Poor ◽  
Medium Level ◽  
High Level ◽  
Very High

Climate change has been severely affected the lives of people in coastal areas of Vietnam, particularly in the poor communes in the Central region, namely Quang Binh, Quang Tri, and Thua Thien Hue. This report focuses on analyzing and assessing the vulnerability caused by climate change in the extremely poor communes in Quang Binh, Quang Tri, and Thua Thien Hue province, including five levels: Very low, low, medium, high, very high. Through the IPCC vulnerability assessment method, which includes three components: exposure, sensitivity, and adaptive capacity, the results in the study area showed that the medium level accounted for 19.64%, the high level accounted for 30.48%, and the very high level made up 37.35% of the area.

scholarly journals Temporal Analysis of the Relationship between Meteorological Factors and Pollen Abundance in Raleigh, North Carolina

2019 ◽  
Author(s):  
Julie Gareton
Keyword(s):  
Climate Change ◽  
North Carolina ◽  
Meteorological Factors ◽  
Dew Point ◽  
Pollen Count ◽  
Tree Pollen ◽  
Pollen Counts ◽  
Temperature And Precipitation ◽  
The Relationship ◽  
Seasonal Data

Introduction: Climate change affects both meteorological factors and plant processes. As earth’s average climate conditions warm, it is predicted that pollen will produce even more allergenic spores in areas where it already exists, like Raleigh, North Carolina, becoming a serious human health issue. Methods: In order to observe climate and pollen relationships, pollen counts are plotted against temperature, humidity (in the form of dew point temperature), and precipitation in Raleigh, North Carolina from February 2, 1999 to September 4, 2018. Linear regression tools in Microsoft Excel were used to analyze annual and seasonal data that had been aggregated by month. Results: The annual data revealed the strongest correlation between the increased temperature in the area and pollen count, particularly in tree pollen species. Conversely, the seasonal data for spring showed a stronger correlation between average precipitation and pollen count. Conclusions: The IPCC has predicted that temperature and precipitation will both continue to rise and, based on historical data, it is likely that the relationship between pollen and temperature, as supported by annual tree pollen data, as well as the relationship between pollen and precipitation, as supported by weed and grass seasonal pollen analysis, will increase the pollen counts in Raleigh. While a direct correlation cannot be concluded definitively, the results indicate that temperature is related to tree pollen count and precipitation is related to grass and weed pollen count. Keywords: pollen, climate change, temperature, precipitation, humidity

scholarly journals CLIMATE RISK VULNERABILITY ASSESSMENT OF THE MAJOR CROPS IN THE PROVINCE OF AGUSAN DEL NORTE, PHILIPPINES

2021 ◽  
Vol XLVI-4/W6-2021 ◽  
pp. 27-33
Author(s):  
A. G. Apdohan ◽  
R. P. Varela ◽  
R. M. Balanay
Keyword(s):  
Climate Change ◽  
Adaptive Capacity ◽  
Natural Hazards ◽  
Climate Change Impacts ◽  
Planning Tool ◽  
High Exposure ◽  
Temperature And Precipitation ◽  
Maxent Modelling ◽  
Risk Vulnerability ◽  
Banana Crops

Abstract. Assessing an area's vulnerability can serve as an effective planning tool to increase resilience to climate-related hazards. This paper provides information on the most vulnerable municipalities to climate change impacts in the province of Agusan del Norte, Philippines. The assessment included in the geospatial analysis were physical, agro-ecological, and socio-economic indicators clustered under the components of exposure, sensitivity, and adaptive capacity. Using MaxEnt, modelling the suitability of crops due to changes in temperature and precipitation by the year 2050 determines the crops' sensitivity. A combination of natural hazards datasets was used to estimate the extent of exposure to each municipality within the province under pressure from climate and hydro-meteorological risks. An up-to-date database from the concerned local government units for adaptive capacity indicators was clustered into seven capitals: economic, natural, human, physical, social, anticipatory, and institutional. The total CRV model for rice, corn, and banana crops revealed that the municipalities identified as highly vulnerable due to their high exposure to climate hazards, the decreasing crops' suitability to climate variability, and low adaptive capacity.

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