scholarly journals Ethnic Influence Against Land Use Patterns and Its Contribution to Community Income in The Aketajawe Lolobata National Park

Jurnal Wasian ◽  
2015 ◽  
Vol 2 (2) ◽  
pp. 55
Author(s):  
Lis Nurrani ◽  
Halidah Halidah ◽  
Supratman Tabba
Keyword(s):  
Land Use ◽  
National Park ◽  
Rice Field ◽  
Buffer Zone ◽  
Field Pattern ◽  
Community Forest ◽  
Land Use Patterns ◽  
Land Use Pattern ◽  
Use Patterns ◽  
Zone Management

Buffer zone management is an integrated practice of managing forest and agriculture land based on biophysical nature of region and social-culture combination to obtain an optimum forest and agriculture products that support local livelihood economy. The study was to identify the community land use patterns that shapes the buffer zone of Aketajawe Lolobata National Park particularly at Aketajawe block. Sampling villages were determined by stratification based on the distance from the National Park boundary which varied between <3,3-5, and > 5 km. The purposive random sampling was chosen 82 respondents to be interviewed. Land use pattern which applied by communities were divided into six groups according to cultivated commodities i.e. community forest, mixed garden, monoculture garden, intercropping garden, horticulture and rice fields. The differences of these patterns were influenced by background and origin of communities. The indigenous people of Halmahera island used their land as mixed garden while the settler used theirs as rice field and horticulture. Based on the land cover quality, mixed garden pattern was more similar to forest vegetation than another pattern. Rice field pattern gave the largest economic contribution while community forest gave the lowest contribution to the farmer’s income.

scholarly journals Impacts of Pangasius aquaculture on land use patterns in Mymensingh district of Bangladesh

1970 ◽  
Vol 9 (1) ◽  
pp. 169-170 ◽  
Author(s):  
H Ali ◽  
MM Haque
Keyword(s):  
Land Use ◽  
Water Area ◽  
Farm Size ◽  
Land Use Patterns ◽  
Land Use Pattern ◽  
Use Patterns ◽  
Commercial Enterprise ◽  
Farm Survey ◽  
Irrigation Cost ◽  
Use Pattern

Pangasius catfish, Pangasianodoan hypophthalmus farming has been evolved to a shape of commercial enterprise over the last two decades in north-central part of Bangladesh, particularly in Mymensingh area but there is a lack of quantitative and qualitative data on the impacts of it on land use pattern. This study was conducted using multiple methodological tools including participatory rural appraisal (PRA) tools and mainly questionnaire based farm survey to assess the impacts of Pangasius farming on land use from February to September, 2009. The mean farm size (ha), water area (ha) and dyke area (ha) was 1.36±1.25, 1.06±1.31 and 0.30±0.27, respectively. The Pangasius productivity was significantly and positively correlated with water area and dyke area. Around 10.1% area of the study area was converted to Pangasius farm which was previously used as rice-field. Farmers expanded their farm area by taking leased lands which contributed to 56.47% of total farm area and the lease value of Pangasius pond was doubled compared to agriculture land. Around 48% area of dyke were used to produce agriculture crops and the production was 71.01% lower but profit margin was 76.58% higher than normal land. The discharging wastewater of Pangasius pond also increased rice productivity in adjacent agriculture farm by 10% and additionally reduced fertilizer and irrigation cost by 30% and 40%, respectively. Keyword: Pangasius aquaculture; impact on land use pattern; Bangladesh DOI: http://dx.doi.org/10.3329/jbau.v9i1.8759 JBAU 2011; 9(1): 169-178

Exploring Taxi Demand Distribution of Comprehensive Land-Use Patterns Using Online Car-Hailing Data and Points of Interest in Chengdu, China

2021 ◽  
pp. 036119812110152
Author(s):  
Weijie Yu ◽  
Wei Wang ◽  
Xuedong Hua ◽  
Xueyan Wei
Keyword(s):  
Land Use ◽  
Urban Areas ◽  
Land Use Intensity ◽  
Land Use Patterns ◽  
Land Use Pattern ◽  
Traffic Demand ◽  
Use Patterns ◽  
Demand Distribution ◽  
Points Of Interest ◽  
Use Pattern

With the rapid advance of urbanization, land-use intensity is increasing, and various land-use forms gather to form comprehensive land-use patterns. Traffic demand shows variability and complexity under comprehensive land-use patterns. Accurate analysis of traffic demand in urban transportation is the key to active traffic control and road guidance. Researchers have widely studied the relationship between traffic demand and land-use patterns, while land-use intensity is ignored when classifying land-use patterns, and the traffic demand distribution in each land-use pattern is not studied specifically. Taxi is a flexible public mode in urban areas, and taxi demand is an important component in analyzing traffic demand and identifying traffic hotspots in cities. This paper explores taxi demand distribution of comprehensive land-use patterns using online car-hailing data and points of interest (POI) in Chengdu, China. The demand-driven traffic analysis zones are developed by clustering origin–destination points of online car-hailing services. Using POI data, comprehensive land-use patterns are classified with land-use forms and land-use intensity. The K-shape algorithm is adopted to extract the typical taxi demand distribution in each comprehensive land-use pattern. Finally, two indicators, total taxi demand (TTD) and taxi demand difference (TDD), are computed and further analyzed. Results show that taxi demand distribution is still differential even under the same land-use pattern. Three land-use patterns whose average hourly taxi demand reaches about 300 vehicles per square kilometer have the largest TTD and most uneven TDD. The findings can support traffic management, land-use combination, and land-use adjustment to avoid concentrated taxi demand and mismatched TDD.

Reverse-Engineered Land Use Patterns to Minimize Congestion

2003 ◽  
Vol 1831 (1) ◽  
pp. 141-149
Author(s):  
Amica Bose ◽  
Jon D. Fricker
Keyword(s):  
Land Use ◽  
Travel Time ◽  
Substantial Reduction ◽  
Land Uses ◽  
Land Use Patterns ◽  
Land Use Pattern ◽  
Use Patterns ◽  
Destination Choices ◽  
Mixed Land Use ◽  
Use Pattern

A neighborhood land use pattern designed to accommodate the most frequently taken nonwork trips within an acceptable distance from home was developed. Instead of starting from a specified set of land uses and studying the travel characteristics, mixed land use patterns that fit the observed trip-making behavior of people were formulated. The result is called a reverse-engineered neighborhood, or REN. The REN was tested against a Euclidean development that had separated land uses. Results show a substantial reduction in nonwork trip lengths (in terms of both travel time and distance) in the REN compared with the Euclidean development. The efficiency of the REN is the result of having more trip destination choices available to residents at acceptable distances. The procedures in the analysis are described and demonstrated, the results of the analysis are presented, and directions for further study are suggested.

scholarly journals The Variation of Water Quality in Three Land Use Types in U Minh Ha National Park, Ca Mau Province, Vietnam Using Multivariate Statistical Approaches

Water ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 1501
Author(s):  
Van Du Le ◽  
Thanh Giao Nguyen ◽  
Hoang Dan Truong
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Rainy Season ◽  
National Park ◽  
Land Use Patterns ◽  
Multivariate Statistical ◽  
Organic Matters ◽  
Use Patterns ◽  
Land Use Types ◽  
Melaleuca Cajuputi

This study was conducted to assess the water quality affected by different land use patterns in U Minh Ha National Park, Ca Mau, Vietnam. This study determined the water quality characteristics in three land use types (Acacia hybrid, planted melaleuca cajuputi, and natural melaleuca cajuputi) at different plant ages on two acid sulfate soil layers in the rainy season (8/2018) and dry season (4/2019) using nine water quality parameters. Multivariate statistical analyses were applied to evaluate the correlation and spatial and temporal variations in the water quality. The study results showed that the water quality in S-ASS was more polluted than that in D-ASS, characterized by low pH; the EC, organic matters (BOD and COD), nutrients (N-NH4+ and N-NO3−), and metal ions (Al3+ and Fe3+) were high; and the EC, BOD, COD, Al3+, and N-NO3− were determined high in D-ASS. The NMC area was noted to have high concentrations of organic matters and nutrients, while the factors specific to acidic soil were found to be higher in the AH and PMC areas. The water quality in the rainy season tended to be more polluted than that in the dry season. The cluster analysis grouped the land use patterns on S-ASS and D-ASS in both seasons into four groups, with a clear similarity between the wet and dry seasons in the areas at various plant ages. The seasonal variations of the water quality of the three land use types were distinguished by the main parameters, including pH, EC, BOD, N-NO3−, and Al3+ (S-ASS) and EC, BOD, N-NO3−, N-NH4+, and Fe3+ (D-ASS). Therefore, there is a need for better water management measures in the rainy season and focus on the key parameters causing water quality variations in each area. The findings in this study provided important information for the future water quality monitoring for both agricultural production and conservation in the national park.

Influence of the land use pattern on the concentrations and fluxes of priority pollutants in urban stormwater

2011 ◽  
Vol 64 (7) ◽  
pp. 1450-1458 ◽  
Author(s):  
S. Zgheib ◽  
R. Moilleron ◽  
G. Chebbo
Keyword(s):  
Land Use ◽  
Priority Substances ◽  
Treatment Results ◽  
Land Use Patterns ◽  
Land Use Pattern ◽  
Pollutant Load ◽  
Use Patterns ◽  
Significant Difference ◽  
Volatile Organic ◽  
Chemical Groups

This paper presents the results of the concentrations (μg/L) and fluxes (g/ha) of priority substances in stormwater from three watersheds with different land use patterns (namely, residential, urban dense, high urban density). Samples were collected at the outlet of these watersheds. Thirteen chemical groups were investigated corresponding to 88 individual substances before treatment. Results showed that stormwater discharges contained 55 substances, among them some metals, organotins, PAHs, PCBs, alkylphenols, pesticides, phthalates, cholorophenols and volatile organic compounds. Therefore, stormwater was highly contaminated. However, this contamination was often comparable from site to site, since no significant difference of the pollutant load was observed between the land use patterns.

scholarly journals Using Remote Sensing and Multivariate Statistics in Analyzing the Relationship between Land Use Pattern and Water Quality in Tien Giang Province, Vietnam

Water ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 1093
Author(s):  
Nguyen Thanh Giao ◽  
Nguyen Van Cong ◽  
Huynh Thi Hong Nhien
Keyword(s):  
Remote Sensing ◽  
Water Quality ◽  
Land Use ◽  
Surface Water Quality ◽  
Quality Parameters ◽  
Rice Cultivation ◽  
Land Use Patterns ◽  
Land Use Pattern ◽  
Perennial Crops ◽  
Use Patterns

This study was carried out to understand how land use patterns influence surface water quality in Tien Giang Province using remote sensing and statistical approaches. Surface water quality data were collected at 34 locations with the frequency of four times (March, June, September, and November) in 2019. Water quality parameters were used in the analysis, including pH, temperature, electrical conductivity (EC), total suspended solids (TSS), dissolved oxygen (DO), biological oxygen demand (BOD), chemical oxygen demand (COD), ammonium (N-NH4+), nitrite (N-NO2−), nitrate (N-NO3−), sulfate (SO42−), orthophosphate (P-PO43−), chloride (Cl−), total nitrogen (TN), total phosphorus (TP), and coliform. The relationship between land use patterns and water quality was analyzed using geographic information techniques (GIS), remote sensing (RS), statistical approaches (cluster analysis (CA), principal component analysis (PCA), and Krustal–Wallis), and weighted entropy. The results showed water quality was impaired by total suspended solids, nutrients (N-NH4+, N-NO2−, P-PO43−), organic matters (BOD, COD), and ions (Cl− and SO42−). Kruskal–Wallis analysis results showed that all water quality parameters in the water bodies in Tien Giang Province were seasonally fluctuated, except for BOD and TN. The highest levels of water pollutants were found mostly in the dry season (March and June). The majority of the land in the study area was used for rice cultivation (40.64%) and residential (27.51%). Water quality in the study area was classified into nine groups corresponding to five combined land use patterns comprising residential–aquaculture, residential–rice cultivation, residential–perennials, residential–rice–perennial, and residential–rice–perennial crops–aquacultural. The concentrations of the water pollutants (TSS, DO, BOD, COD, N-NH4+, N-NO2−, Cl−, and coliform) in the locations with aquaculture land use patterns (Clusters 1 and 2) were significantly larger than those of the remaining land use patterns. PCA analysis presented that most of the current water quality monitoring parameters had a great impact on water quality in the water bodies. The entropy weight showed that TSS, N-NO2−, and coliform are the most important water quality parameters due to residential–aquaculture and residential–rice cultivation; EC, DO, N-NH4+, N-NO2−, Cl−, and coliform were the significant variables for the land use type of residential–perennial crops; N-NO2−, P-PO43−, and coliform for the land use pattern of residential–rice cultivation–perennial crops) and N-NH4+, N-NO2−, Cl−, and coliform for the land use pattern of residential–rice cultivation–perennial crops–aquaculture. The current findings showed that that surface water quality has been influenced by the complex land use patterns in which residential and rice cultivation may have major roles in causing water impairment. The results of the water quality assessment and the variation in water properties of the land use patterns found in this study provide scientific evidence for future water quality management.

scholarly journals COMMERCIAL EVOLUTION OF WATERFRONT: A HISTORICAL ANALYSIS OF LAND USE PATTERN & TREND OF COMMERCIAL CENTERS IN KHULNA RESPECTING BAROBAZAR, KHULNA

2020 ◽  
Author(s):  
MUHAMMAD GOLAM SAMI ◽  
◽  
SHAUNI PRIYAM SIKDER ◽  
Keyword(s):  
Land Use ◽  
Historical Analysis ◽  
Influential Factors ◽  
Colonial Period ◽  
Land Use Patterns ◽  
Land Use Pattern ◽  
Use Patterns ◽  
Water Transportation ◽  
Fundamental Research ◽  
Central Economic

Although Khulna's actual history is not about more than 200 years, but it has a 2000 years settlement and commercial history. Khulna was a part of Ganaridai, Vanga, Jessore dynasty, Rarh (South Bengal) in different periods. The connection of rivers always made a blessing for Khulna for water transportation to accelerate trade and commerce. According to Ptolemy, the ancient Gangaridai had an ancient port located in greater Jessore [1,557]. Some archaic incidents, verses, and legends of Mani-Rishis (Ancient Indian Scholars) proved the old settlement and commercial style. The chronological evolution of the ancient Period (6th century BC – 1757 AD) described a civilization's development with the incremental commercial approach [2,315]. The colonial regime can relate to the evolution of a commercial and economic center like Barobazar as a whole. All these chronological narrations, consecutive phenomena, and influential factors will depict the trend of retail evolution. The research aims to describe Khulna's commercial development's sequential affairs and find the missing links between eras. Various ancient documents, Blueprints, Greek Periplus, etc. will describe the settlement, commercial mode, and history. It will determine the answer to the questions about the growth and establishment of river port cities and major economic centers' evolution. The paper will describe commercial –spatial progression in 4 Particular eras. GIS surveys and some old maps will illustrate the commercial land-use patterns of Barobazar from the Colonial Period to the present and the river base trade. These will elaborate on the existing conditions as well as the revolutionary changes. The fundamental research will help for the further Urban regeneration of Barobazar as a central economic hub. The historical consequences will help to sort out the development pattern and strategies behind the progression.

scholarly journals A comparison of the soil loss evaluation index and the RUSLE Model: a case study in the Loess Plateau of China

2012 ◽  
Vol 9 (2) ◽  
pp. 2409-2442 ◽  
Author(s):  
W. W. Zhao ◽  
B. J. Fu ◽  
L. D. Chen
Keyword(s):  
Land Use ◽  
Soil Erosion ◽  
Soil Loss ◽  
Evaluation Index ◽  
Watershed Scale ◽  
Land Use Patterns ◽  
Land Use Pattern ◽  
Use Patterns ◽  
Use Pattern

Abstract. The development of new methods to examine the influence of land use on soil erosion is currently a popular research topic in contemporary research. The multiscale Soil Loss Evaluation Index is a new, simple soil erosion model that can be used to evaluate the relationship between land use and soil erosion; however, applications of this model have been limited, and a comparison with other soil erosion models is needed. In this study, we used the Yanhe watershed in China's Loess Plateau as a case study to calculate the Soil Loss Evaluation Index at the small watershed scale (SLsw), to identify the similarities and differences between results from the Soil Loss Evaluation Index and the Revised Universal Soil Loss Equation (RUSLE), and to determine the key location where land use patterns need to be optimized in the study area. The procedure for calculating the SLsw, namely, using the delineation of the drainage network and the sub-watersheds as starting points, includes the calculation of soil loss horizontal distance index, the soil loss vertical distance index, slope steepness factor, rainfall-runoff erosivity factor, soil erodibility factor, and cover and management practices factor. During the calculation procedure, several functions within geographic information system (GIS), especially the spatial analyst function, are used to calculate these factors layers, and many of the data are expressed in grid format. Moreover, The AVSWAT2000 hydrological model and upscaling methods were used to calculate some of the factors in this study. When comparing the SLsw with the RUSLE, some similarities and differences were discovered. The similarities of the two models include the following: (1) both use GIS techniques at the watershed scale, (2) the same factors appear in both models, (3) and the resolution of the basic data is closely related to the evaluation results. The differences between the SLsw and the RUSLE are as follows: (1) they have different outcomes, namely, the former analyzes the relationship between land use and soil erosion, and the latter analyzes the amount of soil erosion; (2) different grain scales are used in the two models, namely, the former uses the sub-watershed scale, and the latter uses the grid cell; and (3) the evaluation results are different, namely, the former is dimensionless but can identify the key area for land use pattern adjustment, and the latter provides the coarse soil loss rate but may have difficulty identifying the key area where the land use pattern urgently needs adjustment to control the soil loss because of the different soil erosion factors. On the basis of our results regarding the Soil Loss Evaluation Index in the Yanhe watershed and comparisons with the RUSLE, we conclude that the area with substantial soil erosion is primarily located in the middle and southeastern parts of the Yanhe watershed and is a composite effect from different soil erosion factors. Additionally, the sensitive area where land use patterns need to be optimized is primarily located in the middle part of the Yanhe watershed, covering 53.3% of the watershed. In future studies of land use pattern optimization, the calculation of the Soil Loss Evaluation Index at the slope scale may play a key role in identifying where land use patterns need to be adjusted in the sub-watersheds of sensitive areas.

scholarly journals Behind the Land Use Mix: Measuring the Functional Compatibility in Urban and Sub-Urban Areas of China

Land ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 2
Author(s):  
Haochen Shi ◽  
Miaoxi Zhao ◽  
Duncan A. Simth ◽  
Bin Chi
Keyword(s):  
Land Use ◽  
Land Use Planning ◽  
Urban Areas ◽  
Land Use Patterns ◽  
Land Use Pattern ◽  
Use Patterns ◽  
Land Use Mix ◽  
Methodological Approaches ◽  
Use Pattern

Land use mix (LUM) has long been employed as one of the key methods to improve urban vibrancy and optimize built-up areas. Within the urban studies discipline, LUM is usually defined as a functional compatible but diverse land use pattern. However, its quantitative methodological approaches thereby heavily rely on the diversity of land use and fail to consider functional compatibility as another critical defining characteristic, providing only a partial picture of land use pattern. Thus, reviewing LUM’s concepts and definitions, this paper develops a new index to describe functional compatibility according to the spatial segregation measurements. To evaluate and provide empirical evidence of the proposed index, this paper selects the medium-sized city of Xiangtan as a case study. The findings demonstrate that Xiangtan exhibits a quite compatible land use pattern to a certain extent. In addition, particular clusters with relatively incompatible land use patterns are observed, which are closely linked to a special historical working unit, the ‘Danwei’ compounds, and a special rural planning authority, ‘Township-Village-Enterprise’, in China. Finally, an integrated evaluation is conducted based on the proposed index and Shannon entropy index, which can be regarded as a useful tool in future land use planning while contributing to shaping a sustainable form of urban development.

scholarly journals Properties Analysis on Travel Intensity of Land Use Patterns

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Lishan Sun ◽  
Liya Yao ◽  
Shuwei Wang ◽  
Jing Qiao ◽  
Jian Rong
Keyword(s):  
Land Use ◽  
Transportation Planning ◽  
Data Extraction ◽  
Urban Transportation ◽  
Land Use Patterns ◽  
Land Use Pattern ◽  
Travel Information ◽  
Use Patterns ◽  
Quantitative Basis ◽  
The Relationship

Quantization of the relationship between travel intensity and land use patterns is still a critical problem in urban transportation planning. Achieved researches on land use patterns are restricted to macrodata such as population and area, which failed to provide detail travel information for transportation planners. There is still problem on how to reflect the relationship between transport and land use accurately. This paper presents a study that is reflective of such an effort. A data extraction method is developed to get the travel origin and destination (OD) between traffic zones based on the mobile data of 100,000 residents in Beijing. Then Point of Interests (POIs) data in typical traffic zones was analyzed combined with construction area investigation. Based on the analysis of travel OD and POI data, the average travel intensity of each land use pattern is quantified. Research results could provide a quantitative basis for the optimization of urban transportation planning.

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