Change Impact Assessment Research Articles

DYNAMO-HIA: A health impact assessment tool fit for quantifying tobacco control policy

Abstract DYNAMO-HIA is a generic, publicly-available and easy to use software tool for health impact assessments of changes in health risk-factors such as obesity, air pollution, processed meat consumption, physical activity, alcohol taxation, or smoking. The tool uses a graphic use interface, does not require programming skills, and has comparatively modest data requirements. Health outcomes that can be investigated are mortality, life expectancy, healthy-life expectancy, disability and prevalence of various chronic disease such as chronic obstructive pulmonary disease (COPD), cancer, or coronary heart diseases. DYNAMO-HIA can in principle be used for any tobacco control policy or ordinance-e.g. price increases or pictorial health warning labels-that target changes in smoking prevalence or smoking initiation/quitting rates. Past applications of DYNAMO-HIA for tobacco control policy included country studies for Belgium, Mongolia, or Korea and several comparative country studies. In this presentation we will give a general overview into the use of DYNAMO-HIA and show-case a recently published study. This study quantified the reduction in COPD burden that would occur in Italy, England and Sweden over 40 years if tobacco prices were increased by 5%, 10% and 20% over current local prices.

Method level static source code analysis on behavioral change impact analysis in software regression testing

Though a myriad of changes take place in a software system during maintenance, behavioral changes carry the bulk of the reasons of software modifications. In assessing the impact of the changes made in software, static source code analysis plays a key role. However, static source code analysis can be a little complex depending on the reason for the expedition. Despite the work done so far, little focus has been made on the potential of changed methods analysis during static source code analysis in assessing the impact of the changes made in a software system. We propose and investigate a static source code analysis technique that would generate information on the modified methods in the source code. This study analyzes four aThough a myriad of changes take place in a software system during maintenance, behavioral changes carry the bulk of the reasons for software modifications. In assessing the impact of the changes made in the software, static source code analysis can be a little complex depending on the reason for the expedition. Despite the works done so far, little focus has been directed on the potential of changed methods during static source code analysis, in assessing the impact of the changes made in software. This study investigates a method-level static source code analysis technique that would generate information on the methods affected by changes made in the software. The work analyzed three Java projects. The results indicate an improvement in leveraging on the knowledge of edited methods in change impact assessment during regression testing. The approach enhances code review efforts in light of assessing operational behavior impacted by the changes made.Java projects and shows that an analysis of the changed methods reveals the level of regression testing that ought to be conducted for the changes made.

Concurrent datasets on land cover and river monitoring in Fukushima decontaminated catchment during 2013–2018

After the Fukushima nuclear accident, the Japanese government implemented extensive decontamination work in 137Cs contaminated catchments for residents’ health and local revitalization. Whether dramatic land use changes in the upstream decontaminated regions affected river suspended sediment (SS) and particulate 137Cs discharge downstream remain unknown because of the poor quantification on land cover changes and long-term river SS dynamics. We here introduce a 6-year concurrent database of the Niida River Basin, a decontaminated catchment, including the first available vector decontamination maps, satellite images in decontaminated regions with a spatial resolution of 10 m, and long-term river monitoring datasets spanning decontamination (2013–2016) and subsequent natural restoration stages (2017–2018). These datasets allow us, for the first time, to directly link the transport dynamics of river SS (particulate 137Cs) to land use changes caused by humans in real-time, which provide fundamental data for better understanding the river response of sediment to land use change. Moreover, the data obtained by interdisciplinary methods offer a template for land use change impact assessment in other river basins.

Hydrological and Environmental Conditions and Implications of the Operation of a Thermal Power Plant with an Open Cooling System—An Example from Poland

In Poland, coal-based thermal energy for cooling power plant installations uses a large amount of surface water. Historically, there have been cases of limitations in electricity supply due to low water levels and high temperature of water in rivers. Moreover, environmental requirements limit the possibility of using water resources for cooling purposes, pointing to the necessity to leave inviolable flows in rivers. This raises questions about the future of the operation of thermal power plants with open cooling systems and hence the research undertaken by the authors. The research consisted of a questionnaire survey, hydrological analyses, the impact assessment of climate change on the operation of power plants, and a discussion of technical solutions for water abstraction and power loss analysis in a particular power plant. The results indicate that there are power plants that are more sensitive to hydrological and environmental conditions and the temperature of the water required for cooling. In one case, keeping a power plant in operation requires the maintenance of periodic artificial damming of water. The conclusions from the research indicate that in Poland, regardless of the source of thermal energy, it is necessary to implement only closed cooling circuits.

Quantifying the impacts of land cover change on hydrological responses in the Mahanadi river basin in India

Abstract. The objective of this study is to assess the impacts of land cover change on the hydrological responses of the Mahanadi river basin, a large river basin in India. Commonly, such assessments are accomplished by using distributed hydrological models in conjunction with different land use scenarios. However, these models, through their complex interactions among the model parameters to generate hydrological processes, can introduce significant uncertainties to the hydrological projections. Therefore, we seek to further understand the uncertainties associated with model parameterization in those simulated hydrological responses due to different land cover scenarios. We performed a sensitivity-guided model calibration of a physically semi-distributed model, the Variable Infiltration Capacity (VIC) model, within a Monte Carlo framework to generate behavioural models that can yield equally good or acceptable model performances for subcatchments of the Mahanadi river basin. These behavioural models are then used in conjunction with historical and future land cover scenarios from the recently released Land-Use Harmonization version 2 (LUH2) dataset to generate hydrological predictions and related uncertainties from behavioural model parameterization. The LUH2 dataset indicates a noticeable increase in the cropland (23.3 % cover) at the expense of forest (22.65 % cover) by the end of year 2100 compared to the baseline year, 2005. As a response, simulation results indicate a median percent increase in the extreme flows (defined as the 95th percentile or higher river flow magnitude) and mean annual flows in the range of 1.8 % to 11.3 % across the subcatchments. The direct conversion of forested areas to agriculture (of the order of 30 000 km2) reduces the leaf area index, which subsequently reduces the evapotranspiration (ET) and increases surface runoff. Further, the range of behavioural hydrological predictions indicated variation in the magnitudes of extreme flows simulated for the different land cover scenarios; for instance, uncertainty in scenario labelled “Far Future” ranges from 17 to 210 m3 s−1 across subcatchments. This study indicates that the recurrent flood events occurring in the Mahanadi river basin might be influenced by the changes in land use/land cover (LULC) at the catchment scale and suggests that model parameterization represents an uncertainty which should be accounted for in the land use change impact assessment.

Impact Assessment of Climate Change on the Near and the Far Future Streamflow in the Bocheongcheon Basin of Geumgang River, South Korea

Highly concentrated precipitation during the rainy season poses challenges to the South Korean water resources management in efficiently storing and redistributing water resources. Under the new climate regime, water resources management is likely to become more challenging with regards to water-related disaster risk and deterioration of water quality. To alleviate such issues by adjusting management plans, this study examined the impact of climate change on the streamflow in the Bocheongcheon basin of the Geumgang river. A globally accepted hydrologic model, the HEC-HMS model, was chosen for the simulation. By the calibration and the validation processes, the model performance was evaluated to range between “satisfactory” and “very good”. The calibrated model was then used to simulate the future streamflow over six decades from 2041 to 2100 under RCP4.5 and RCP8.5. The results indicated significant increase in the future streamflow of the study site in all months and seasons over the simulation period. Intensification of seasonal differences and fluctuations was projected under RCP 8.5, implying a challenge for water resources managers to secure stable sources of clean water and to prevent water-related disasters. The analysis of the simulation results was applied to suggest possible local adaptive water resources management policy.

Hydro-meteorological impact assessment of climate change on Tikur Wuha watershed in Ethiopia

Hydro-meteorological impact assessment of climate change on Tikur Wuha watershed in Ethiopia

Ground deformation of Dongsheng mining area revealed by multi-temporal InSAR

Coal is one of the most important mineral resources in the industrial development of China. In order to minimize the losses directly or indirectly caused by the ground subsidence, it is necessary to accurately retrieve the information of the ground subsidence distribution during the mining process and make the accurate impact assessment of changes in the ecological environment. In this paper, we selected Sentinel-1A data of 22 scenes from July 2018 to March 2019, which covers Dongsheng coalfield of Ordos, Inner Mongolia. Then, PS-InSAR is used to obtain the ground deformation information. The results show that the PSs with high deformation rate and large accumulation are mainly located in the centre of the focused area, where the velocity along line of sight (LOS) mainly ranges from - 17 mm/year to - 5 mm/year with the extreme value reaching - 33.5 mm/year. Meanwhile the deformation rate of the majority of the PSs ranges from - 5 mm/year to 5 mm/year. It is highly recommended to reduce the ground deformation and mitigate the impact of land subsidence on the ecological environment caused by mining through programming logical mining schemes.

Impact Assessment of Change in Anthropogenic Emissions Due to Lockdown On Aerosol Characteristics In A Rural Location

Long-term and continuous measurements of aerosol concentration and optical properties from the Challakere Climate Observatory, located in a remote rural semi-arid region northwest of Bengaluru, are examined for the impact of the prolonged and phased national lockdown during the COVID-19 pandemic The analyses revealed that the lockdown, which almost brought all the anthropogenic activities (particularly associated with fossil fuel use such as in transport and industrial sectors) to a standstill and then slowly relaxed in phases, had very little impact on the aerosol properties at this remote site, in sharp contrast to the impacts seen in the major urban conglomerate, Bengaluru, located about 230 km southeast to Challakere Rather than impacts from anthropogenic sources associated with fossil fuel combustion, the aerosol characteristics at Challakere are strongly influenced by regional and synoptic meteorology The findings re-emphasize that the emissions from fossil fuel combustion in industrial and automobile sector are the major source of aerosols (especially absorbing type) over urban and semi-urban environments © 2021 All Rights Reserved

Multi-site statistical downscaling of precipitation using generalized hierarchical linear models: a case study of the imperilled Lake Urmia basin

ABSTRACT A downscaling model capable of explaining the temporal and spatial variability of regional hydroclimatic variables is essential for reliable climate change studies and impact assessments. This study proposes a novel statistical approach based on generalized hierarchical linear model (GHLM) to downscale precipitation from the outputs of general circulation models (GCMs) at multiple sites. GHLM partitions the total variance of precipitation into within- and between-site variability allowing for transferring information between sites to develop a regional downscaling model. The methodology is demonstrated by downscaling precipitation using the outputs of eight GCMs in Lake Urmia basin in northwestern Iran. Multi-model ensemble simulations are merged and bias-corrected using Bayesian model averaging and equidistant quantile mapping, respectively. The results of this study show projected declining trends in precipitation resulting in approximately 11.2% and 15.3% decrease during 2060–2080 compared to the historical period of 1985–2005 considering representative concentration pathways (RCPs) 4.5 and 8.5, respectively.

Economic Impact Assessment of Regulatory Changes: A Case Study of a Proposed New ICAO Standard for Contaminated Runways

The literature on economic impact assessments (EIA) of regulatory changes in the transport sector is scarce. This study examines how a change in the regulatory framework for air transport could affect transport costs. The case in question is the International Civil Aviation Organization (ICAO) State letter AN 4/1.2.26-16/19 that proposed to set a higher minimum friction on runways operated during slippery conditions. This may affect operations, particularly in the northern hemisphere. Four Norwegian airports that operate under severe winter conditions are used as examples. Sudden cancellations or transfers to another airport give additional costs per passenger, ranging from NOK 750 to NOK 5600 per return flight. If these results are generalized to all affected flights in Norway, the annual estimate is NOK 400–450 million. These numbers may not seem exorbitant. However, the costs are mainly borne by a limited number of airports. Some of them may have to close during winter, with severe consequences for local communities. This study illustrates how effects of a proposed regulatory change may be assessed in order to aid the decision-making process. The impacts on aviation safety are not considered. Data on aircraft accidents in Norway do not indicate significant effects from the proposed regulatory change.

Impact Assessment of Changes in the Age and Educational Structure of the Population in the Russian Labor Market

The objective of this study is to assess the contribution of changes in the age and educational structure of the population and labor force to the dynamics of the levels of employment and unemployment in Russia in the last two decades. The empirical basis of the study is the microdata of the Labor Force Survey conducted by Rosstat monthly. Standardization and decomposition of statistical indicators are used as methods of analysis.The author cites evidence that during the period under review the composition of the population and labor force has undergone significant structural changes. The proportion of people with higher education, which are characterized by higher employment rates and lower unemployment rates has steadily increased. The share of young people and the poorly educated population, which are characterized by low participation in employment and high risks of unemployment, was declining.Thedynamicsofemploymentandunemploymentratesin2000-2018werelargelydeterminedbytheinfluenceofstructuralfactorsfavorable (in terms of the impact on the labor market) shifts in the age and educational structure of the Russian population and labor force.Structural factorshad a greater impact on the positive dynamics of employment. Over the period in question, the growth in the level of education contributed to more than half of the increase in the employment rate. Changes in the age structure put downward pressure on the level of employment, but the contribution of this factor was insignificant. Structural factors contributed about a third of the overall decline in the unemployment rate. The contribution of changes in age and educational structure was almost the same in magnitude.The estimates provide a more accurate idea of the real situation on the Russian labor market and the reasons underlying the dynamics of its indicators. Quantitative characteristics, reflecting changes in the age and educational structure of the population, allow, according to the author, to improve the quality of the developed functional labor market forecasts.

Total Factor Productivity and Environmental Efficiency of the Most Important Cereals Crops in Egypt

Purpose of the Study: Egyptian agriculture suffers from many problems related to the use of available economic resources, the most important of which is lack of optimal utilization of resources, wasteful use of agricultural production inputs, reduced efficiency of irrigation water use, and the fertility of agricultural lands are deteriorating, in addition to increasing rates of encroachments on agricultural lands and shifting it from agricultural use to other non-agricultural uses, which limits the agricultural sector ability to achieve high growth rates, especially with the increasing global production of biofuels from crops that individuals consume as food, including wheat and corn, which constitutes an explicit threat to Egyptian food and national security.
 Objectives: The research aimed to:
 
 Estimate the changes in the sources and components of the total productivity of the factors for the main cereal crops in Egypt in the presence and absence of carbon dioxide emissions,
 Environmental impact assessment of changes in the productivity of these crops.
 
 Methods: The study applied analytical approaches to measure changes in productivity, as parameter analysis methods are used as methods of the aggregate production function, and non-parameterized methods of estimation, in addition to (Malmquist, 1953) which is one of the most important indicators of measurement changes in productivity and relies on a Data Envelopment Analysis (DEA) to measure efficiency and changes in TFP productivity and identify the sources of changes in productivity through changes in technical competence and technological change, as the two most important components of the change in total productivity.
 Results: Wheat Crop: Wheat crop by estimating the change in the different efficiencies of the wheat crop with co2 emissions, it was clear that a decrease in technological change (TC) during the study period, and thus a decrease in the average change in the total factor productivity (TFP), while without co2 emissions effect, the average change in the total factor productivity of (TFPc) indicates an increase in the actual wheat efficiency which is low due to the environmental impact of the emissions.
 Rice Crop: Rice crop by estimating the change in the different efficiencies of the rice crop with co2 emissions, it became clear that a decrease in the average technological change (TC), thus increasing the average change in the total factor productivity of the (TFP), whereas, without co2 emissions, it was found that the average change in the total factor productivity of the (TFPc) for the study areas was higher.
 Summer Maize Crop: It was clear that the average technological change (TC) for the summer maize crop with co2 emissions, decreased during the study period, and therefore a decrease in the average change in the total factor productivity of the (TFP), but without co2, an increase in the annual average of the change in technical efficiency (TEC), and a decrease in the average technological change (TC), i.e. in the use of technology, and an increase in the average change in the total factor productivity (TFPc).

Impact assessment of climate change on the energy performance of the building stocks in four European cities

Many cities are striving to develop urban transformation strategies, in order to transit from traditional city to a sustainable city. Improving the energy efficiency of the existing buildings is the key to address climate change mitigation and adaptation. This paper considers different climate scenarios using different series of future climate in four different European cities, namely, Kiruna, Stockholm, Valencia and Madrid. The study adopts the TABULA database to get access to basic construction information. Energy simulation and data analysis using IDA ICE and MATLAB are performed. Based on climate change, an overall retrofitting plan was developed by combining energy-saving retrofit solutions. The results show that in Madrid and Valencia, future heating demand will decrease and cooling demand will increase. In Kiruna and Stockholm, with the increase of the insulation material, the heating demand of the house has decreased, but the cooling demand has shown a downward trend compared with the cases of Madrid and Valencia. The first reason is the introduction of hybrid cooling, and the second is that the average indoor temperature has been maintained at 21 degrees Celsius due to the low outdoor temperature in summer. The findings indicate that in Kiruna, Stockholm, and Madrid it is better to insulate façades to lower the heating demand in winter. In Valencia, it is possible to have relatively low heating and cooling demand without façades insulation as insulated façades require more cooling demand during summer.

Impact Assessment of Climate Change and Human Activities on Runoff Variation in Coal Mining Watershed, NW China

The Kuye river watershed is a coal mining watershed in Northwest China. The study analyzed runoff change of year, high flow period and low flow period in the past 60 years based on Mann-Kendall trend test, cumulative anomaly, and continuous wavelet analysis. The contributions of climate change and human activities on runoff variation were assessed by the rainfall-runoff relationship model. The results were obtained: (1) Runoff in year, high and low flow period showed a significant declining trend during 1954–2015, but the trends of decreasing or increasing of precipitation and evaporation were not notable. (2) Runoff in year, highflow period and low flow period exhibited similar abrupt change feature and stage characteristic. (3) The periodic changing characteristics of runoff in high flow period were similar to those in annual runoff, but those in low flow period were different from annual runoff. (4) The effect of climate change on runoff had an significant decreasing trend from 61.73 to 9.19% in year, from 59.76 to 2.68% in high flow period, and from 25.00 to 2.63% in low flow period. Compared with climate change, the impact of human activities increased obviously, the contribution all over 90.00% in 1997–2015. Thus, human activities demonstrated the dominant influence on runoff decline gradually.

Calibration of a hydrological model and sensitivity analysis of its parameters: a case study of Seonath river basin

The objective of this paper is surface runoff estimation of the Seonath river basin using a semi-distributed hydrological model, i.e., soil and water assessment tool (SWAT). In this paper, the study on calibration and sensitivity is carried out using SWAT-CUP (calibration and uncertainty program) along with sequential uncertainty fitting (SUFI-2) algorithm. The performance of SWAT model is evaluated by various statistical measures; such as Nash-Sutcliffe (NS) coefficient, coefficient of determination (R2), percent bias (Pbias), p factor, r factor and ratio of the root-mean-square error (RMSE) to the standard deviation of the observation (RSR). In the current work, 31 years (1980-2010) of weather data was used. The time slice for model calibration was 15 years, i.e., 1987-2001 with seven years of warming period 1980-1986 and validation period was comprised of nine years (2002-2010). In the study, the calibration of the model was done for the two stations which is a major step for carrying out further study related to climate and land use change impact assessment. The study yielded satisfactory results in terms of model performance.

Impact assessment of land use and cover changes on water resources using RS and GIS Techniques in watershed area

Management, assessment and simulation of different water resource variables are important at watershed scale to understand their interactions for appropriate water resource planning and management. The advent and recent development of RS and GIS techniques has facilitated the generation of spatially temporally distributed information very accurately, precisely and in an very time efficient manner that makes it possible to apply physically based hydrologic models for water resource variables simulation in a simply and realistically manner as possible. In present study, the effect of land use and land cover changes in the hydrologic response of a watershed is assessed for different rainfall events on surface, sub-surface and groundwater recharge, along with infiltration and evapotranspiration losses using widely recognised SWAT model in a watershed with limited gauges and data availability. Two different years of land use maps representing a 12 years of period, in which the area underwent a significant land use transition, were applied to the SWAT hydrological model to see the effect of land use change on hydrological response in the watershed. The SWAT model was calibrated and validated during the period of 2009–2010 and 2011–2012, respectively. The higher runoff rate and volume produced during validation period by SWAT with LISS-III is due to increased agricultural land and decreased forest land, whereas SWAT with LANDSAT ETM+ model shows that the same event could have produced lower runoff compared to runoff obtained in 2011–2012. Based on different performance indices, it was found that SWAT model coupled with the capabilities of RS and GIS performs good during both calibration and validation periods in Limkheda watershed.

Modelling weed management strategies to control erosion in rubber plantations

The role of weeds in soil conservation in agroforestry systems has been largely ignored. We used the Land Use Change Impact Assessment (LUCIA) model to simulate the effects of weed management on erosion in rubber plantations (Hevea brasiliensis Muell. Arg). In order to quantify the impact of a dynamic, spatially explicit multi-layer plantation structure on erosion processes in agroforestry systems, we updated LUCIA's erosion module. Its new version simulates soil detachment due to rainfall and runoff, considering the separate effects of the tree canopy and surface cover on soil erosion. The updated LUCIA model was calibrated and validated based on an established rubber plantation experiment in Xishuangbanna, Southwest China, to evaluate the impact of different weeding strategies on soil loss. The model successfully represented the impact of the dynamic multi-layer structure on erosion and was able to predict well the effects of weed management on soil loss and runoff at the test site over 1 year, with a modelling efficiency (EF) of 0.5–0.96 and R2 of 0.64–0.92. Subsequently, we validated the ability of the model to simulate surface cover changes under rubber plantations of different age (up to 40 years). Simulation outputs for 4-, 12- and 18-year-old rubber plantations revealed satisfying to good results. However, the predicted change in surface cover for old rubber plantations (25- and 36-year) failed to meet the field trends. The model predicted the greatest erosion in the year when the rubber canopy started to close. During this period, weed growth was limited by light, while litter input from rubber was insufficient to provide good soil cover. Four weeding strategies (“clean-weeding”, “twice-weeding”, “once-weeding” and “no-weeding”) were designed for scenario simulations. Based on the results of 20-year runs, we concluded that “once-weeding” and “no-weeding” both efficiently minimized soil loss during one rotation length. A high degree of surface and weed cover (over 95% and 60%) under “no-weeding” makes this management strategy with dense undergrowth hardly acceptable by local farmers due to reduced tree accessibility for tapping and increased potential danger through poisonous caterpillars. “Once-weeding”, on the other hand, controlled overgrowth of understory vegetation by keeping weed cover below 50%. We therefore suggest “once-weeding” as an improved herbicide management strategy in rubber plantations, to meet ecological system service maintenance and to facilitate adoption in practice.

Energy and environmental evaluation of construction materials used for VW cars production

Production and operation of vehicles currently has a significant impact on the environment. The choice of more environmentally friendly construction materials which a car is made from can significantly reduce its environmental impact. The main aim of this article was to compare the environmental impact assessment of changes in the design of passenger cars by using the life cycle assessment analysis (LCA). The paper presents a simplified LCA method of a car, which in specific cases can be used to analyse environmental impacts associated with the manufacturing process to assess the ecological performance of new passenger cars. In the adopted LCA simplification, the carbon dioxide equivalent emission CO2eq was used to assess the impact. The values of these variables were determined based on the mass of materials used to build the car. A practical example of using the simplified LCA method for a comparative assessment of the ecological efficiency of Volkswagen Group passenger cars manufactured over the last 30 years is presented.

Climate Change Impacts and Vulnerability Assessment of Selected Municipalities and Agroecosystems to Support Development of Resilient Communities and Livelihoods in Nueva Ecija, Philippines

In the last decade, the Philippines had been hit severely by natural disasters brought about by climate change which caused great damages to agriculture. The objectives of the study were to assess climate change impacts and vulnerability of Bongabon, Gabaldon and Cabanatuan City, Nueva Ecija; to assess the vulnerability and suitability of growing various crops, goats and chicken; to generate vulnerability and suitability maps; and to validate the maps produced. A comprehensive scoping, profiling, vulnerability assessment and crop, chicken and goat suitability assessment of the municipalities and agroecosystems of the study sites was done. Generation and validation of the vulnerability and suitability maps were also conducted. Results revealed that Bongabon obtained moderate vulnerability to floods and typhoon while low vulnerability to drought and soil erosion. Gabaldon had moderate vulnerability to floods, soil erosion and drought while low vulnerability to typhoon. Cabanatuan City attained moderate vulnerability to floods and drought while low vulnerability to typhoon. There were four crops suitable to grow in the current condition with flood and landslide hazards and in the two projected future scenarios (RCP 4.5 with good conditions and RCP 8.5 with the worst conditions). Only three crops are highly suitable to grow in Gabaldon for the future conditions while in Cabanatuan City four crops are very suitable for the three situations. Native chicken and goats are highly suitable to raise in the three study sites for the three conditions. There were 16 vulnerability maps developed and generated in Bongabon, 16 in Gabaldon and only 12 in Cabanatuan City. Furthermore, 21 crop, chicken and goat suitability maps were produced in Bongabon, 27 maps in Gabaldon and 21 maps in Cabanatuan City. Overall, validation of the maps in the study sites had high accuracy.