GIS-technology in the management of mudflow risk

2016 ◽  
Vol 42 (1) ◽  
pp. 140-146
Author(s):  
A. Mussina ◽  
◽  
Zh. Zhanabayeva ◽  
Keyword(s):  
Gis Technology

Implementation the GIS technology to the control system of rational use of forest resources in Mykolaiv re-gion

2015 ◽  
Vol 0 (1) ◽  
Author(s):  
Viktor L. Tymchenko ◽  
Olena L. Hirzheva ◽  
Inna V. Tymchenko ◽  
Maryna A. Kyrylchuk
Keyword(s):  
Control System ◽  
Forest Resources ◽  
Gis Technology ◽  
Rational Use

ASSESSMENT OF SOIL EROSION IN VINH LINH, QUANG TRI USING RMMF MODEL (REVISED MORGAN - MORGAN - FINNEY)

2013 ◽  
Vol 83 (5) ◽  
Author(s):  
Nguyễn Quang Việt ◽  
Trương Đình Trọng ◽  
Hồ Thị Nga
Keyword(s):  
Soil Erosion ◽  
Land Cover ◽  
Soil Loss ◽  
Soil Particle ◽  
Transport Capacity ◽  
Gis Technology ◽  
Particle Detachment ◽  
Sediment Transport Capacity ◽  
Northern District ◽  
Runoff And Soil Loss

Vinh Linh, the northern district of Quang Tri province is characterized by a diversified topography with a large variety of elevations, high rainfall, and decreasing land cover due to forest exploiting for cultivation land. Thus, there is a high risk of erosion, soil fertility washout. With the support of GIS technology, the authors used the rMMF model to measure soil erosion. The input data of model including 15 coefficients related to topography, soil properties, climate and land cover. The simulations of rMMF include estimates of rainfall energy, runoff, soil particle detachment by raindrop, soil particle detachment by runoff, sediment transport capacity of runoff and soil loss. The result showed that amount of soil loss in year is estimated to vary between 0 kg/m2 minimum and 149 kg/m2 maximum and is divided into 4-classes of erosion. Light class almost covers the region researched (75.9% of total area), while moderate class occupies 8.1% of total area, strong classes only hold small area (16% of total area). Therefore, protection of the forest floor in sloping areas is one of the most effective methods to reduce soil erosion.

PRESERVATION OF ARCHAEOLOGICAL HERITAGE USING GIS TECHNOLOGY

2016 ◽  
Vol 15 (6) ◽  
pp. 1247-1257
Author(s):  
Ionut Maican ◽  
Tudor Borsan ◽  
Irinel Gresita
Keyword(s):  
Gis Technology ◽  
Archaeological Heritage

Design of supervisory control and data acquisition system based on GIS technology

2013 ◽  
Vol 33 (2) ◽  
pp. 567-570
Author(s):  
Zeping YANG ◽  
Deqiang LIU ◽  
Qian WANG ◽  
Qiangming XIANG
Keyword(s):  
Data Acquisition ◽  
Supervisory Control ◽  
Data Acquisition System ◽  
Acquisition System ◽  
Gis Technology

A renovated model for spatial analysis of pollutant runoff loads in agricultural watershed

1998 ◽  
Vol 38 (10) ◽  
pp. 207-214 ◽  
Author(s):  
Sung Ryong Ha ◽  
Dhong Il Jung ◽  
Cho Hee Yoon
Keyword(s):  
Stream Water ◽  
Digital Terrain Model ◽  
Pollution Sources ◽  
Agricultural Watershed ◽  
Water Model ◽  
Digital Information ◽  
Gis Technology ◽  
Terrain Model ◽  
Unit Loading ◽  
Pollutant Discharge

Runoff loads of pollutant in agricultural watersheds were spatially analyzed by using geographic information system(GIS) technology. The topological relationship between pollution sources in the watershed was, first of all, identified by using the developed digital map of land use and then the pollutant loads generated from each source was estimated by applying a conventional unit loading factor on the obtained digital information of pollution sources. To evaluate the loads delivered from spatially distributed pollution sources to monitoring stations in down stream via surface of watershed, a renovated empirical model incorporated with the information of pollutant discharge path was developed through introducing a digital terrain model(DTM) technique. In this model, the function of degradation of pollution loads during delivery process was simplified so that each watershed could have a basin-wide self-purification capacity which would be considered to be possessed inherently in each watershed and could retard the discharge of pollutants from sources generated to stream water. Model credibility showed good consistency with comparing the simulated values with observed data. Monte Carlo optimizing technique made it possible to estimate the basin-wide self-purification coefficients.

scholarly journals Cultivated Land Use Layout Adjustment Based on Crop Planting Suitability: A Case Study of Typical Counties in Northeast China

Land ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 107
Author(s):  
Ge Song ◽  
Hongmei Zhang
Keyword(s):  
Land Use ◽  
Northeast China ◽  
Utilization Efficiency ◽  
Food Crops ◽  
Cultivated Land ◽  
Gis Technology ◽  
Land Use Patterns ◽  
Production Area ◽  
Structural Imbalance ◽  
Crop Planting

Cultivated land use layout adjustment (CLULA) based on crop planting suitability is the refinement and deepening of land use transformation, which is of great significance for optimizing the allocation of cultivated land resources and ensuring food security. At present, people rarely consider the land suitability of crops when using cultivated land, resulting in an imbalance between crop distribution and resource conditions such as water, heat, and soil, and adversely affects the ecological security and utilization efficiency of cultivated land. To alleviate China’s grain planting structural imbalance and efficiency loss, this paper based on the planting suitability of main food crops (rice, soybean, and maize) to adjust and optimize the cultivated land use layout (CLUL) in the typical counties of the main grain production area in Northeast China, using the agent-based model for optimal land allocation (AgentLA) and GIS technology. Findings from the study show that: (1) The planting suitability of rice, soybean, and maize in the region is obviously different. Among them, the suitability level of soybean and maize is high, and that of rice is low. The current CLUL of the food crops needs to be further optimized and adjusted. (2) By optimizing the layout of rice, soybean, and maize, the planting suitability level of the food crops and the concentration level of the CLUL spatial pattern have been improved. (3) The plan for CLULA is formulated: The study area is divided into rice stable production area, maize-soybean rotation area, maize dominant area, and soybean dominant area, and town or village is identified as the implementation unit of CLULA. The plan for CLULA will be conducive to the concentrated farming of food crops according to the suitable natural conditions and management level. The research realized the optimization of spatial structure and cultivated land use patterns of different food crops integrating farming with protecting land. The significance of the study is that it provides a scientific basis and guidance for adjusting the regional planting structure and solving the problem of food structural imbalance.

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