Land Use - Terrain Correlations in the Piedmont Tract of Eastern India

2019 ◽  
pp. 1026-1064
Author(s):  
Ashis Sarkar ◽  
Priyank Pravin Patel
Keyword(s):  
Principal Component Analysis ◽  
Land Use ◽  
Land Management ◽  
Management Practices ◽  
Principal Component ◽  
Land Use Land Cover ◽  
Terrain Attributes ◽  
Gis Environment ◽  
Basin Area ◽  
Insight Into

The Dulung River flows across West Bengal and Jharkhand in India. The geographical variables present within the basin area are categorised into groups like Physiographic, Morphometric and Land Use-Land Cover (LULC) attributes. These facets are mapped and overlain in a GIS environment and correlations drawn between them. Factor Scores obtained through Principal Component Analysis are further compared and correlated. The different variables are fused to obtain a comprehensive grouping of the above three facets that is reflective of the overall terrain attributes and its overlying LULC classes. Through this, within the Dulung River Basin, three broad Physiographic-Soil-Land Use Units (PSLUs) are identified, which comprise of the structural ridges and residual hills, piedmont plains and floodplains. For further insight into existing LULC-landform relations, select villages across the basin landscape are examined in detail. The relations derived help in suggesting possible land management practices in this region.

Land Use - Terrain Correlations in the Piedmont Tract of Eastern India

2017 ◽  
pp. 147-192 ◽  
Author(s):  
Ashis Sarkar ◽  
Priyank Pravin Patel
Keyword(s):  
Principal Component Analysis ◽  
Land Use ◽  
Land Management ◽  
Management Practices ◽  
Principal Component ◽  
Land Use Land Cover ◽  
Terrain Attributes ◽  
Gis Environment ◽  
Basin Area ◽  
Insight Into

The Dulung River flows across West Bengal and Jharkhand in India. The geographical variables present within the basin area are categorised into groups like Physiographic, Morphometric and Land Use-Land Cover (LULC) attributes. These facets are mapped and overlain in a GIS environment and correlations drawn between them. Factor Scores obtained through Principal Component Analysis are further compared and correlated. The different variables are fused to obtain a comprehensive grouping of the above three facets that is reflective of the overall terrain attributes and its overlying LULC classes. Through this, within the Dulung River Basin, three broad Physiographic-Soil-Land Use Units (PSLUs) are identified, which comprise of the structural ridges and residual hills, piedmont plains and floodplains. For further insight into existing LULC-landform relations, select villages across the basin landscape are examined in detail. The relations derived help in suggesting possible land management practices in this region.

scholarly journals Analysis of Environmental Factors Determining the Adoption of Land Management Practices in Guinea Savanna Agro-Ecological Zone of Kaduna Using Principal Component Analysis (PCA)

2020 ◽  
pp. 18-28
Author(s):  
T. A. Awobona ◽  
J. O. Adedapo ◽  
J. O. Emmanuel ◽  
O. Osunsina ◽  
J. A. Ogunsanwo ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Land Management ◽  
Management Practices ◽  
Management Practice ◽  
Principal Component ◽  
Component Analysis ◽  
Sustainable Land Management ◽  
Farm Productivity ◽  
Positive Effects ◽  
Land Management Practice

This study analyzed the various determinants of land management practices in Chikun LGA of Kaduna State and determined most sustainable practice(s), with the specific focus on: Socio-economic characteristics of farmers; types of land management practices in relation to the determinant factors; effects of land management practices on the farm productivity; determine the most sustainable land management practice in the study area. A purposive sampling technique was adopted in collecting data from three hundred and eighty (380) rural farmers with structured questionnaires administered in Buruku, Chikun Local Government area of Kaduna State, Nigeria. Five land management practices showed positive effects on the farm productivity as compared to the mean of 3 points; these were cover crop, crop rotation, irrigation, organic manure and fertilizer application. Two land management practices as perceived to have good effects on farm productivity of respondents were agro-forestry and bush fallow as shown in the component one of the result of Principal Component Analysis (PCA). It was concluded that the farming population was ageing and was adversely affected the choice of best practices due to lack of education and knowledge to adopt the best land management practice. Sustainable land management practices has the potential to reverse the trend of food scarcity and environmental disasters, help to improve local livelihoods, restore natural ecosystems and also contribute significantly to climate change adaptation and mitigation. There is clear evidence that the productivity of soils in Buruku Village will continue to decline if strategic measures are not put in place to manage soil fertility in different soil units to support agricultural land.

scholarly journals IMPACT OF LAND USE AND LAND USE HISTORY ON FRUITS PRODUCTION OF VITELLARIA PARADOXA (SHEA TREE) ACCORDING TO AGROCLIMATIC ZONES IN MALI (WEST AFRICA)

2019 ◽  
pp. 1-7
Keyword(s):  
Land Use ◽  
Land Management ◽  
Management Practices ◽  
Site Effect ◽  
Fruit Production ◽  
Permanent Plots ◽  
Land Use History ◽  
The North ◽  
Sudanian Zone ◽  
Agroclimatic Zones

To understand how various factors influence phenological patterns like fruit production and the extent of phenological variability as survival strategy in different environments, fruit production of shea trees was studied in different agroclimatic zones (North Sudanian, South Sudanian and North Guinean) in Mali. Three sites were selected for this study and in each site; two stands (field and fallow) were concerned. For each stand, three “land use history or land management" i.e. new fields/fallows (1-5 years), medium (6-10 years) and old (10 years) were considered and permanent plots of 0.25 ha were established. 60 adult shea trees (DBH) ≥ 10 cm) were selected by site and monitored for fruit production assessment. The nested analysis of variance on the yield showed a significant site effect and significant effect of land use history within stand. However, stand effect within site was not significant. Factors like site and land management (land use history) appear to be determinant for fruit production of V. paradoxa. The site of Mperesso in the South Sudanian zone showed the highest fruit mean yield (11 kg/tree), significantly higher than the fruit mean yield observed at Daelan (7 kg/tree) in the North Sudanian zone and that observed at Nafégué (6 kg/tree) in the North Guinean zone. For field stand, old fields showed highest mean yield in all sites. For fallow stand, old fallows showed the lowest mean yield in most of cases. Different pattern was observed between field and fallow stands regarding the effect of land management. More fields are aged, more they influence positively fruit production whereas more fallows are aged, and more they influence negatively fruit production. This study highlighted the importance of land management practices and therefore, any domestication program to be successful should consider the potential effect of management practices.

scholarly journals Effects of land use and sustainable land management practices on runoff and soil loss in the Upper Blue Nile basin, Ethiopia

2019 ◽  
Vol 648 ◽  
pp. 1462-1475 ◽  
Author(s):  
Kindiye Ebabu ◽  
Atsushi Tsunekawa ◽  
Nigussie Haregeweyn ◽  
Enyew Adgo ◽  
Derege Tsegaye Meshesha ◽  
...  
Keyword(s):  
Land Use ◽  
Land Management ◽  
Soil Loss ◽  
Management Practices ◽  
Sustainable Land Management ◽  
Nile Basin ◽  
Blue Nile ◽  
Blue Nile Basin ◽  
Runoff And Soil Loss ◽  
Effects Of Land Use

The future of soil biochemistry and services in the UK under plausible climate, land use and land management scenarios

2020 ◽  
Author(s):  
Dmitry Yumashev ◽  
Victoria Janes-Bassett ◽  
Jess Davies
Keyword(s):  
Land Use ◽  
Land Management ◽  
Management Practices ◽  
Crop Yields ◽  
Grassland Restoration ◽  
Climate Scenarios ◽  
Management Scenarios ◽  
Nitrogen Emissions ◽  
Soil Biochemistry ◽  
The Uk

<p>In this study, we explore plausible future states of soil organic matter, biomass, food production and soil greenhouse gas emissions across the UK under a range of climate, land use and land management scenarios. We use state-of-the-art soil biochemistry model, N14CP-Ag, combined with UKCP18 climate scenarios and ASSET land cover change and crop scenarios mapped onto a UK-wide grid with around 100,000 land parcels. Historic runs cover the period from the start of the Holocene interglacial (-12 kyr BP) to 2015; scenarios run from 2016 out to 2100. The results show variations of soil organic carbon (SOC) of around 10% between 2016 and 2100 relative to the simulated starting value of 1.4 Gton in 2015, with reductions of up to 7% under arable expansion scenarios and increases of up to 3% under grassland restoration scenarios. The effect of changing cropping patterns on UK-wide SOC is comparatively small. As climate scenarios move from lower to higher global emissions, the SOC reductions under arable expansion become more pronounced, while the SOC increases under grassland restoration diminish and eventually turn into losses. UK-wide crop yields show resilience to climate change and are maximised for the arable expansion scenario with protected sites of special scientific interest. Soil CO2 and nitrogen emissions get progressively higher in warmer climates. The results of this study are expected to contribute to a future UK agricultural policy aimed at rewarding farmers for sustainable land management practices.</p>

scholarly journals Principal component analysis optimization of a PM2.5 land use regression model with small monitoring network

2012 ◽  
Vol 425 ◽  
pp. 27-34 ◽  
Author(s):  
Hector A. Olvera ◽  
Mario Garcia ◽  
Wen-Whai Li ◽  
Hongling Yang ◽  
Maria A. Amaya ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Land Use ◽  
Regression Model ◽  
Monitoring Network ◽  
Principal Component ◽  
Component Analysis ◽  
Land Use Regression

scholarly journals ANALISIS PENYIMPANGAN PENGGUNAAN LAHAN BERDASARKAN RENCANA TATA RUANG WILAYAH KABUPATEN SUMEDANG

2018 ◽  
Vol 20 (4) ◽  
pp. 399
Author(s):  
Reny Khaerani ◽  
Santun R.P. Sitorus ◽  
Omo Rusdiana
Keyword(s):  
Principal Component Analysis ◽  
Land Use ◽  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Human Resource ◽  
Spatial Planning ◽  
Rapid Development ◽  
Principal Component ◽  
Spatial Plan

Spatial plan is the result of spatial planning which is done through the process and procedure of arranging and determining based on the prevailing laws and regulations. The phenomenon that often happens is the deviation of existing land use with spatial plan. Sumedang Regency is experiencing a fairly rapid development, so there is an increase in human resource activity that implicate the widespread space needs and consequently deviation of land use is very vulnerable. The purpose of this study to determine the extent of deviation of land use occurs as well as what factors affect the occurence of irregular use of land. The analysis used in this study using GIS approach, Principal Component Analysis and Multiple Regression Analysis. The result of analysis shows that there are 25 types of deviation of existing land use and the most dominant is deviation into wetland (18,364 ha), dryland field (8,405 ha) and widened land (7,741 ha). While the factors that influence the occurence of deviation of land use are population and settlement, availability of land, infrastructure and accessibility, and sosioeconomic condition of society

scholarly journals Finding Clog Models for the Urban Traffic Blocking & Assessment of Corridors

2019 ◽  
Vol 8 (11S2) ◽  
pp. 464-467
Keyword(s):  
Principal Component Analysis ◽  
Land Use ◽  
Regression Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Urban Traffic ◽  
Current Paper ◽  
Urban Travel ◽  
Travelling Time ◽  
Telangana State

Urban travel blockage is one of the serious issues which are affecting travelling time. This impact is on economical ability of transportable, non-element of condition, psychosomatic stresses and a movement irregularity on movement. There is a need to indentify clog models for the remarkable impact boil down in peak hour gridlock. The blockage standards can be followed the characteristic located on street with hustle. The clog is created with the overhead conveyed with inconsistent factors and show the way to the fate. These aspects are revealed that they are because of impact of certain trademark impact from elements of land use, street symmetrical, and commute and street organize attributes. This research is encircled on with the staggered distressing variables. GPS information, GIS support tactic is proposed in the assessment for information and a clog model is related to discover clog factors. The current paper compacts with the deliberate the blockage criterions, and clog produced factors for the Dilsukhnagar zone (Gaddianaram region) Hyderabad, Telangana State, INDIA using Principal Component Analysis (PCA) and regression analysis.

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