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• Application of CLUMondo Model in Forecasting Land use Changes in Van Yen district, Yen Bai Province

  Pham Duy Khanh, Vu Thanh Bien, Dao Xuan Thu, Nguyen Luu Ly, Ngo Thanh Son, Bui Le Vinh

  Received: 25-10-2022 / Accepted: 18-04-2023

   Abstract PDF (VIETNAMESE)

  This study applied the CLUMondo model to simulate land changes for land use planning in Van Yen district, Yen Bai province under two scenarios: Scenario 1- land use demand in the past and Scenario 2- based on local land use orientation. The simulation principle of the model was based on the interaction between the influencing factors and land use types through logistic regression. The simulation accuracy of the model for the 2020 overlay map was evaluated by the Kappa coefficient of 0.88. The simulation results show that by 2030, in scenario 1, construction land fluctuates the most (increase by 9.82%), while forest land and agricultural land decrease to 83.25% and 1.77%, respectively. In scenario 2, the forest and agricultural land also tend to decrease, but less than in scenario 1. The most obvious difference between the two scenarios is that the area of construction land increases sharply in scenario 1 compared to scenario 2, and the bare land with shrubs increases in scenario 1 but decreases in scenario 2.

• Factors Affecting Residential Land Prices in Vinh City, Nghe An Province

  Tran Thai Yen, Nguyen Thanh Tra

  Received: 22-10-2020 / Accepted: 11-12-2020

   Abstract PDF (VIETNAMESE)

  The study aimed to determine the impact of these factors on residential land prices in Vinh City and to propose some recommendations when determining residential land prices. Secondary data were collected from functional departments in Vinh city. The primary data were collected through surveys of 181 people related to the establishment and appraisal of residential land prices. The data were analyzed through Cronbach's Alpha coefficients, exploratory factor analysis and linear regression models by software SPSS 20.0 and Amos 24.0. There were 28 factors belonging to 9 groups of factors included in the regression model that had an impact on residential land prices with the impact rate from 4.43% to 17.23%, respectively. When determining residential land prices, it is necessary to pay attention to the impact of the groups of factors on residential land prices such as the relationship between supply and demand of land use rights; plot location; rate of urbanization and urbanization speed in the present and the future etc., to determine the appropriate price of residential land in each stage of the urbanization process and harmonize the interests of the State and land users and organizations related to land use rights in Vinh city, Nghe An province.

• Prediction ofWater Requirementsfor Land Use Types in Srepok River Basinin the Context of Climate Change

  Nguyen Thi Ngoc Quyen

  Received: 30-11-2018 / Accepted: 11-04-2019

   Abstract PDF (VIETNAMESE)

  In agricultural production, irrigation water is at the forefront, especially in the context of climate change. The objective of this study wasto predictthe irrigation waterrequirementsfor the major land use types in the Srepok basin and to propose agricultural land-use planning to support decision makers in integrated river basin management towards sustainable development. The modeling approach under thesupport ofCROPWAT 8.0and assessment of natural land adaptation process were applied in the study. Irrigation demand for coffee, pepper, cashew, rubber, tea, rice, maize and cassava were calculated in 2015with highest value of 7.746 m3.ha-1.crop-1forwinter-spring rice. Theirrigation water wasforecast for the future (2045) with decreasing trend in three scenarios (11.7% for low scenario, 18.59% for average scenario and 4.25% in the high scenario) compared to the presentperiod. Furthermore, three maps for agricultural land-use thatdefine suitable areasand spatial allocation of land use plans, were proposed with climatechange scenarios as a response solution.

• Application ofMulti-Objective Optimal Model in ForecastingDemand of Land Use for New Rural Construction inYen Dung District, Bac Giang Province

  Tran Xuan Mien, Tran Thuy Duong

  Received: 03-02-2016 / Accepted: 05-06-2016

   Abstract PDF (VIETNAMESE)

  In the world as well as in Vietnam, multi-objective optimal model has been used in various fields. This article reports the research results of multi-objective optimal model in forecasting the demand of land use for new rural construction in Yen Dung district, Bac Giang province. Among four land use groups identified, land use of group IV was analyzed by multi-objective optimal model with two objective functions -maximizing economic benefits and maximizing the number of jobs from the distribution of land use - and otherconstraints, i.e. natural area limit, labor resource, food security, average income, environmental sustainability insurance, rural landscape and the conformity to strategic development and local land resource potential. Test model results for Huong Gian commune apparently showed more advantages over the land-use plans being applied.