Lọc theo danh mục
  • Năm xuất bản
    Xem thêm
  • Lĩnh vực
liên kết website
Lượt truy cập
 Lượt truy cập :  16,210,422

68.05.33; 68.05.47

Thổ nhưỡng học

Nguyễn Văn Trị; Nguyễn Xuân Thành; Nguyễn Anh Tuấn; Nguyễn Anh Tuấn(1)

ứng dụng công nghệ mô hình hoá để đánh giá, dự báo xói mòn đất tại khu kinh tế cửa khẩu quốc tế cầu treo - Hà Tĩnh

Application of modeling techniques to evaluate predict soil erosion in Cau Treo international border-gate economic zone, Ha Tinh province

Nông nghiệp & Phát triển nông thôn

2013

17

108-116

1859-4581

Công nghệ mô hình hoá; Bảo tồn tài nguyên đất; Dự báo xói mòn đất; Khu kinh tế cửa khẩu; Quy hoạch sử dụng đất

Sustainable land use planning requires the suitable and economica1land allocation and arrangement which helps to produce eco-socio effectiveness and environment protection. The prediction on land degradation due to soil erosion selVes for the purposes of evaluating the effect of land resource degradation, fanning productivity reduction, infrastructure and people's livelihoods; and afterwards, to propose the solutions to the sustainability-based land use and allocation. Within the framework of this research, the model SWAT (Soil and Water Assessment Tool) have been applied to evaluate and predict the soil erosion in Cau Treo Border-gate Economic Zone, Ha Tmh province. Based on topographic data, land categories, current land use, tentative land use planning, climatic factors of this area, land erosion process was simulated into the maps on soil erosion prediction by scenario for the year 2010 and 2020. The research results show that according to changes in land use types and under the impact of climate change developed in accordance with average B2 emission scenario issued by Ministry of Natural Resources and Environment in 2012, the total area of erosed land in 2020 would increase from 1.044.205,01 tons/year in 2010 to 1.059.305,06 tons/year in 2020. The coefficients NSE, R2 and PBIAS were checked to verify the model accuracy and adjust the simulatio; model for soil erosion in the area. The value of relevant coefficients NSE, R2 and PBIAS with daily adjustment are 0.64, 0.64, -3.66 and of the verified values are 0.51, 0.67, -15.46 accordingly. Based on the above results, the application of SWAT method to prediction of the soil erosion at the studying location is highly evaluatied. The research helps also to propose suitable measures for management, usage and protection of land resources based on sustainable priciples at the Cau Treo Border-gate Economic Zone.

TTTTKHCNQG, CVv201