scholarly journals Pengaruh Perubahan Penggunaan Lahan Terhadap Angka Kesakitan Malaria : Studi Di Provinsi Lampung

2016 ◽  
Vol 4 (3) ◽  
pp. 1 ◽  
Author(s):  
Lirih Wigaty ◽  
Samsul Bakri ◽  
Trio Santoso ◽  
Dyah Wulan S. R. Wardani
Keyword(s):  
Land Use ◽  
Forest Cover ◽  
Landsat Imagery ◽  
Land Use Changes ◽  
Land Uses ◽  
Linear Regression Models ◽  
Dry Land ◽  
Community Forests ◽  
Malaria Morbidity ◽  
The Impact

Ecological disruption as a result of changes in the area of forest cover to other land uses can affect the microclimate and impact toward malaria morbidity.   Malaria is an infectious disease caused by protozoa a genus of Plasmodium that transmitted by female Anopheles sp. mosquito vectors.  The environmental factors that play a role in the risk to transmission of malaria related to vector breeding places.   The purpose of this research is establish the impact of land use changes toward malaria morbidity. This study was conducted from March to September 2015.   Dynamics of land use changes in regency/city be identified through interpretation of landsat imagery in 2002, 2009, and 2014 with supervised classification and resulted in percentage of land use, the influence of impact toward malaria morbidity processed using multiple linear regression models.  Parameter optimization using statistic software.   The result showed that the impact of positive variable that significant toward malaria morbidity are mangrove forest and total population, while impact of negative variable that significant are extensive swamp and health personnel.   Variable which not impact that significant toward malaria morbidity are forests, community forests, undeveloped land, dry land, other land uses, population density, precipitation, unhealthyhousing, urban, and physiographic. Keywords : land use, malaria morbidity

scholarly journals Perubahan Penggunaan Lahan Di Provinsi Lampung Dan Pengaruhnya Terhadap Insidensi Demam Berdarah Dengue (DBD)

2016 ◽  
Vol 4 (3) ◽  
pp. 35
Author(s):  
Agustin Arisandi Mustika ◽  
Samsul Bakri ◽  
Dyah Wulan S. R. Wardani
Keyword(s):  
Land Use ◽  
Forest Cover ◽  
Land Use Changes ◽  
Hemorrhagic Fever ◽  
Forest Area ◽  
Primary Data ◽  
Forest Conversion ◽  
Housing Conditions ◽  
Poverty Level ◽  
The Impact

The conversion of forest area into non-forest area generally can causing the ecology and micro climate change especially rainfall.   The impact of these changes in other side can increasing the probability in occurrence of vector-born disease such as Aedes aegypti mosquito couse of Dengue Hemorrhagic Fever (DHF).   Besides of environmental factors, poverty level, rainfall, and housing conditions the suspected also affect the incidence of dengue.  This research aimed to determine of changes in forest cover and land, poverty level, and housing conditions as well as the impact to the incidence of dengue fever in Lampung. Data collected included primary data of land use changes of Lampung Province and the secondary  data  such  as  the  data  of  precipitation  rapid,  poverty  level,  healthy  house proportion and Incidence Rate of dengue.  The dynamic of changes in forest cover and landper distric/city identified through by Landsat image interpretation 5, 7 and 8  in 2002, 2009 and 2014.   While the impact on DHF analyzed using multiple linear models.   The results showed that there was a significant relationship between the changes of the people forest cover   -1,2634   (p=0,001),   intensive   agricultural   0,5315   (p=0,016),   the   number   of precipitation rapid 0,06869 (p=0,087) and the poverty level -0,2213 (p=0,038) and urbanism region in the towns and villages 28,75 (p=0,010) toward the incidence of dengue in Lampung from the year 2003 to 2014.  Based on the reseacrh result that the goverment should be able to increase the percentage of forest area cause able to decrease the incidence DHF. Keyword: forest conversion, incidence DHF, land use changes

scholarly journals A non-stationary model for reconstruction of historical annual runoff on tropical catchments under increasing urbanization (Yaoundé, Cameroon)

2019 ◽  
Author(s):  
Camille Jourdan ◽  
Valérie Borrell-Estupina ◽  
David Sebag ◽  
Jean-Jacques Braun ◽  
Jean-Pierre Bedimo Bedimo ◽  
...  
Keyword(s):  
Land Use ◽  
Data Acquisition ◽  
Forest Cover ◽  
Land Use Changes ◽  
Annual Runoff ◽  
Distributed Model ◽  
Annual Rainfall ◽  
Runoff Coefficient ◽  
Experimental Modelling ◽  
The Impact

Abstract. Inter-tropical regions are nowadays faced to major land-use changes in data-sparse context leading to difficulties to assess hydrological signatures and their evolution. This work is part of the theme Panta Rhei of the IAHS, and aims to develop a combined approach of data acquisition and a new semi-distributed model taking into account land-use changes to reconstruct and predict annual runoff on an urban catchment. Applications were conducted on the Mefou catchment at Nsimalen (421 km2; Yaoundé, Cameroon) under rapid increase in urbanization since 1960. The data acquisition step combines an historical data processing and a short-term spatially-dense dedicated instrumentation (2017–2018), leading to 12 donor catchments, 6 from historical studies and 6 from the instrumentation presenting various topographic, soil and land-use characteristics. We developed an annual rainfall-runoff model based on mathematical relationships similar to the SCS model. The model needs the definition of a hydrological index I which is time variable and enables to take into account land-use changes and non-stationary relationships between rainfall and runoff. The index I is an empirical indicator defined as a combination of several components such as topography, soil, and land-use. The rules for the construction of I are obtained from data analysis on donor catchments. Then, the model was calibrated on donor catchments. Finally, two applications were conducted on eight target catchments composing the Mefou in order: (i) to study the spatial hydrological functioning and calculate the water balance during the short instrumentation period; (ii) to reconstruct the hydrograph at the Mefou and to simulate the impact of future scenarios of land-use and urbanization. Results show that that the Mfoundi catchment, integrating the three more urbanized sub-catchments, contributes near to 40 % of the Mefou despite covering only 23 % of the basin. The most urbanized sub-catchments present annual runoff coefficient about 0.86 against 0.24 for the most natural sub-catchments. The second result is the reconstruction of historical annual runoff from 1930–2017 with r2 = 0.68, RMSE = 99 mm and a mean absolute normalized error Ē = 14.5 % over the 29 observed years. The reconstruction of the annual runoff at Nsimalen confirms the moderate impact of urbanization on annual runoff before 1980. However, a decrease of about 50 % of the forest cover and an increase from 10 % to 35 % of the urban area between 1980 and 2017 are associated with an increase of 53 % of annual runoff coefficient for the Mefou at Nsimalen (0.44 against 0.29). Application for a fictive plausible scenario of urbanization in 2030 leads to an increase of more than 85 % of the annual runoff in comparison of the values observed in 1980. The coupled experimental-modelling approach proposed herein opens promising perspectives regarding the evaluation of the annual runoff in catchments under changes.

Global warming potential and sustainable management of three land uses in Varanasi

2016 ◽  
Vol 27 (4) ◽  
pp. 364-373 ◽  
Author(s):  
Shikha Sharma ◽  
Divya Pandey ◽  
Madhoolika Agrawal
Keyword(s):  
Land Use ◽  
Global Warming ◽  
Global Warming Potential ◽  
Forest Cover ◽  
Land Use Changes ◽  
Land Uses ◽  
Natural Ecosystems ◽  
Land Use Pattern ◽  
Content Type ◽  
Ancient City

Purpose – Varanasi, an ancient city has witnessed the conversion of forest into agricultural lands. The high urbanization rate along with affluent lifestyle is adding another category of land use, i.e. landfill. Such land use changes significantly affect the fluxes of greenhouse gases (GHGs) from soil thus contributing to global warming. The purpose of this paper is to quantify the global warming potential (GWP) of the three land uses in Varanasi city taking into consideration CH4 and CO2.The paper also highlights the land use pattern of Varanasi. Design/methodology/approach – Sites representing land uses under forest, agriculture and landfill were identified in and around the city and measurements of GHG fluxes were conducted periodically using closed static chambers. The GWP from each land use was calculated using the standard formula of IPCC (2007). Findings – Landfill was found to be the land use with the highest GWP followed by agriculture. GWP from forest was negative. The study indicated that conversion of natural ecosystems into man made ecosystems contributed significantly to GHGs emissions. Research limitations/implications – The present research is a seasonal study with inherent uncertainties. To reduce the uncertainties long-term monitoring covering wider spatial area is required. Practical implications – The sustainable use of land along with the increment of forest cover will not only reduce the contribution in GHGs emission, but will also increase the carbon sequestrations thus limiting the implication of climate change. Originality/value – This study is the first of its kind comparing the soil borne emissions from three different land uses in a rapidly urbanizing ancient city, suggesting if there is rapid conversion of forested land into other two land uses there will be considerable increase in global warming. No similar studies could be found in the literature.

Trip Generation Rates of Land Uses in a Developing Country City

2020 ◽  
Vol 2674 (9) ◽  
pp. 412-425
Author(s):  
Tanjeeb Ahmed ◽  
Suman Kumar Mitra ◽  
Rezwana Rafiq ◽  
Sanjana Islam
Keyword(s):  
Land Use ◽  
Land Use Changes ◽  
Capital City ◽  
Land Uses ◽  
Trip Generation ◽  
Land Use Pattern ◽  
Transportation Demand ◽  
Comparison Results ◽  
The Impact ◽  
Use Categories

In recent decades, a major shift in the land use pattern has been observed in Dhaka, the capital city of Bangladesh. To understand and model the impact of these land use changes on transportation demand, this study aimed to determine the trip generation rates for six different land use categories adjacent to Mirpur Road in Dhaka. A total of 20 establishments consisting of six land use categories were selected for the collection of data on person trip rates and respective modal share by manual counts and intercept surveys. These data were used to develop vehicular trip generation rates for each land use category in passenger car equivalents as a uniform unit of comparison. Results showed that commercial and healthcare land uses had the highest average and peak-hour trip rates. There was also a significant variation in the share of eight transport mode categories among the trips generated by the land uses. The peak-hour trip generation rates of the study area were found to be different from the values established by the Institute of Transportation Engineers which corresponds to the fact that trip generation depends on a host of factors, such as surrounding land uses, modal share, the economic condition of a region, and so forth, rather than on a single factor inherent to the land use. The findings of this research can help to determine the trip generation impact of new establishments and consequently identify suitable locations to minimize the impact.

scholarly journals POTENTIALS AND CHARACTERISTICS OF LANDSAT IMAGERY IN RELATION TO LAND USE /COVER IN OKITIPUPA METROPOLIS, ONDO STATE, NIGERIA

2020 ◽  
Vol 19 (1) ◽  
pp. 150-158
Author(s):  
A. O. TOBORE ◽  
G. OYERINDE ◽  
B. A. SENJOBI ◽  
T. O. OGUNDIYI
Keyword(s):  
Land Use ◽  
Satellite Imagery ◽  
Supervised Classification ◽  
Vegetation Index ◽  
Forest Cover ◽  
Landsat Imagery ◽  
Land Use Changes ◽  
Aerial Photographs ◽  
The Past ◽  
Landsat Satellite

Landsat satellite imagery plays a crucial role in providing information on land use/cover modifications on local, regional, and global scales, especially where aerial photographs are missing. Monitoring land-use changes from past to present tends to be time-consuming especially when dealing with ground-truth information. Determining the past and current land-use change on Earth's surface using Landsat imagery tends to be effective and efficient when high-resolution imagery is unavailable. This study employed the use of Landsat satellite imagery to assess the past and present land use/cover using supervised classification and Normalized Difference Vegetation Index (NDVI). The result of the supervised classification land use/cover showed that forest cover and woodland undergo rapid loss, while farmland, wetland, built-up, and waterbodies tend to experience gradual loss. The NDVI demonstrated that farmland and forest cover was the most affected land use/cover. Hence, land use/cover of the study area is affected by human activities, such as intensive farming, population size, and deforestation.  

scholarly journals Impact of Land Use and Climate Changes on Flood Inundation Areas in the Lower Cimanuk Watershed, West Java Province

2021 ◽  
Vol 23 (2) ◽  
pp. 53-60
Author(s):  
Muhammad Ardiansyah ◽  
Rifqi Aditya Nugraha ◽  
La Ode Syamsul Iman ◽  
Syamsu Dwi Djatmiko
Keyword(s):  
Land Use ◽  
Climate Model ◽  
Global Climate ◽  
Global Climate Model ◽  
Land Use Changes ◽  
Paddy Fields ◽  
Flood Inundation ◽  
Dryland Agriculture ◽  
Dry Land ◽  
The Impact

Land use and climatic changes potentially affect the surface runoff and inundation in watershed zones. Every year, the outflow of the Cimanuk River causes floods across the majority of the upper area of the Cimanuk Watershed, as well as the lower area. This study aimed to assess the impact of climatic and land use changes on future flood inundation in the Lower Cimanuk Watershed using a RRI model. Land-use change has been prepared by modeling using a multi-layer perceptron neural network and Markov Chain approach, while climate change using HadGEM2-ES global climate model data under scenarios RCP4.5. In particular, the forest area was projected to decline in this watershed zone, from 19.54% of the total area in 2019 to 17.73% in 2050. Similarly, the area of paddy fields was predicted to decline from approximately 34.36% in 2019 to 29.65% in 2050. In contrast, other types of land use such as dryland agriculture, mixed dryland agriculture, and settlements were projected to increase in the future. The coverage of the simulated flood inundation area using the Rainfall-Runoff Inundation model estimated to reach 179.4 km2 in 2019. The simulation results showed an increase in flood inundation areas in 2030 and 2050, alongside changes in land use and climate. The areas affected by flood inundation were estimated to reach 253.3 km2in 2030. This coverage was expected to increase by 311.9 km2 in 2050, with severely affected land uses including settlements, dry land agriculture, mixed dry land agriculture, paddy fields, and ponds.

scholarly journals The Impact of The Land-Use Changes on The Water Carrying Capacity in Kajen, Indonesia: A Spatial Analysis

2021 ◽  
Vol 887 (1) ◽  
pp. 012018
Author(s):  
A. Pugara ◽  
B. Pradana ◽  
D. A. Puspasari
Keyword(s):  
Land Use ◽  
Spatial Analysis ◽  
Carrying Capacity ◽  
Agricultural Land ◽  
Land Use Changes ◽  
Development Planning ◽  
Land Conversion ◽  
Planning Period ◽  
Dry Land ◽  
The Impact

Abstract Kajen Sub-District is the Capital of the Pekalongan Regency. This area is the center of activity that grows to be the urban area with trading and services as the economic pole. The trading and services activity is escalating inherent with the existence of IAIN and UNDIP campuses. The new campus increasing the need for a dormitory or housing and facilities area. Its result of land conversion in vegetation and agriculture. This spatial and development planning above contain in the Pekalongan Regency spatial document years 2020 – 2040. According to that document, the built-up area is predicted to be 50 % growth by the end of the planning period. The study regarding the influence of the land-use changes on the water carrying capacity in Kajen is conducted with the deductive–quantitative method. The deductive is begin to form theoretical synthesis about the themes and then search the empirical fact to compare. The quantitative approach means the data of the study is can be count rationally. The analysis tools of the study are spatial analysis and correlation. The study aims to examine the influence of the land-use change on the water carrying capacity and the most significant land use which influences it. The result of the study it the most influencing land use in water carrying capacity is a settlement with an 8.7-point level of correlation. The settlement appears from the agricultural land conversion, especially dry land and paddy field.

scholarly journals Evaluating Satellite Imagery‐Based Land Use Data for Describing Forestland Development in Western Washington

2009 ◽  
Vol 24 (4) ◽  
pp. 214-222 ◽  
Author(s):  
Jeffrey D. Kline ◽  
Alissa Moses ◽  
David Azuma ◽  
Andrew Gray
Keyword(s):  
Land Use ◽  
Satellite Imagery ◽  
Econometric Model ◽  
Landsat Imagery ◽  
Forest Inventory And Analysis ◽  
The Us ◽  
Western Washington ◽  
Us Census ◽  
The Impact ◽  
Density Development

Abstract Forestry professionals are concerned about how forestlands are affected by residential and other development. To address those concerns, researchers must find appropriate data with which to describe and evaluate rates and patterns of forestland development and the impact of development on the management of remaining forestlands. We examine land use data gathered from Landsat imagery for western Washington and evaluate its usefulness for characterizing low-density development of forestland. We evaluate the accuracy of the satellite imagery‐based land use classifications by comparing them with other data from US Forest Service's Forest Inventory and Analysis inventories and the US census. We then use the data to estimate an econometric model describing development as a function of socioeconomic and topographic factors and project future rates of development and forestland loss to 2020. We conclude by discussing how best to meet the land use data needs of researchers, forestry policymakers, and managers.

scholarly journals A Model-Based Tool for Assessing the Impact of Land Use Change Scenarios on Flood Risk in Small-Scale River Systems—Part 1: Pre-Processing of Scenario Based Flood Characteristics for the Current State of Land Use

Hydrology ◽  
2021 ◽  
Vol 8 (3) ◽  
pp. 102
Author(s):  
Frauke Kachholz ◽  
Jens Tränckner
Keyword(s):  
Land Use ◽  
River Flow ◽  
Land Use Changes ◽  
Small Rivers ◽  
Small Scale ◽  
Model Parameters ◽  
Ungauged Catchments ◽  
Model Based ◽  
Current State ◽  
The Impact

Land use changes influence the water balance and often increase surface runoff. The resulting impacts on river flow, water level, and flood should be identified beforehand in the phase of spatial planning. In two consecutive papers, we develop a model-based decision support system for quantifying the hydrological and stream hydraulic impacts of land use changes. Part 1 presents the semi-automatic set-up of physically based hydrological and hydraulic models on the basis of geodata analysis for the current state. Appropriate hydrological model parameters for ungauged catchments are derived by a transfer from a calibrated model. In the regarded lowland river basins, parameters of surface and groundwater inflow turned out to be particularly important. While the calibration delivers very good to good model results for flow (Evol =2.4%, R = 0.84, NSE = 0.84), the model performance is good to satisfactory (Evol = −9.6%, R = 0.88, NSE = 0.59) in a different river system parametrized with the transfer procedure. After transferring the concept to a larger area with various small rivers, the current state is analyzed by running simulations based on statistical rainfall scenarios. Results include watercourse section-specific capacities and excess volumes in case of flooding. The developed approach can relatively quickly generate physically reliable and spatially high-resolution results. Part 2 builds on the data generated in part 1 and presents the subsequent approach to assess hydrologic/hydrodynamic impacts of potential land use changes.

scholarly journals Rural-Spatial Restructuring Promoted by Land-Use Transitions: A Case Study of Zhulin Town in Central China

Land ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 234
Author(s):  
Dong Han ◽  
Jiajun Qiao ◽  
Qiankun Zhu
Keyword(s):  
Land Use ◽  
Rural Development ◽  
Structural Changes ◽  
Land Use Changes ◽  
Central China ◽  
Rural Space ◽  
Spatial Restructuring ◽  
Local Actors ◽  
The Impact

Rural-spatial restructuring involves the spatial mapping of the current rural development process. The transformation of land-use morphologies, directly or indirectly, affects the practice of rural restructuring. Analyzing this process in terms of the dominant morphology and recessive morphology is helpful for better grasping the overall picture of rural-spatial restructuring. Accordingly, this paper took Zhulin Town in Central China as a case study area. We propose a method for studying rural-spatial restructuring based on changes in the dominant and recessive morphologies of land use. This process was realized by analyzing the distribution and functional suitability of ecological-production-living (EPL) spaces based on land-use types, data on land-use changes obtained over a 30-year observation period, and in-depth research. We found that examining rural-spatial restructuring by matching the distribution of EPL spaces with their functional suitability can help to avoid the misjudgment of the restructuring mode caused by the consideration of the distribution and structural changes in quantity, facilitating greater understanding of the process of rural-spatial restructuring. Although the distribution and quantitative structure of Zhulin’s EPL spaces have changed to differing degrees, ecological- and agricultural-production spaces still predominate, and their functional suitability has gradually increased. The spatial distribution and functional suitability of Zhulin are generally well matched, with 62.5% of the matched types being high-quality growth, and the positive effect of Zhulin’s spatial restructuring over the past 30 years has been significant. We found that combining changes in EPL spatial area and quantity as well as changes in functional suitability is helpful in better understanding the impact of the national macro-policy shift regarding rural development. Sustaining the positive spatial restructuring of rural space requires the timely adjustment of local actors in accordance with the needs of macroeconomic and social development, and a good rural-governance model is essential.

Sign in / Sign up

Export Citation Format

Share Document