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Published in last 1 year |  In last 2 years |  In last 3 years |  All Please wait a minute... For Selected: Download Citations EndNote Reference Manager ProCite BibTeX RefWorks Toggle Thumbnails Select Analysis on driving forces of net primary productivity of vegetation in semiarid region of northwest China HAN Huan-huan, GAO Min-hua, ZAN Mei HUBEI AGRICULTURAL SCIENCES    2022, 61 (5): 186-192.   DOI: 10.14088/j.cnki.issn0439-8114.2022.05.033 Abstract （362）      PDF （4256KB）（167）       Knowledge map    Save In order to explore the driving factors of net primary productivity（NPP） and its contribution rate under the special ecological environment in semi-arid areas, and reveal the driving ability of environmental factors on NPP in different environmental attributes sub-regions in semi-arid areas, the Yili river valley in Xinjiang was taken as the study area. The stepwise regression method was used to analyze the data of NPP, NDVI, meteorology, topography, land use and soil erosion, and to construct the NPP environmental factor model. The correlation analysis was used to explore the correlation between each factor and NPP and the correlation between each factor, and the factor contribution rate was used to clarify the driving ability of environmental factors to NPP. Studies have shown that the dominant factors of NPP in the study area were NDVI, humidity index and annual average temperature. NDVI, average annual precipitation, moisture index, average annual temperature and dryness were significantly correlated with NPP in semi-arid region （P < 0.01）. Under different humidity index ranges, the driving ability of each environmental factor to NPP was significantly different. The strongest driving factor of NPP in the region with humidity index less than 0 was NDVI （P < 0.01）, while the region with humidity index more than 0 was precipitation （P < 0.01）. There were significant differences in the main contribution factors and contribution rates of NPP between different soil erosion types and land use types （P < 0.01）. The driving characteristics of meteorological, NDVI and topographic factors on NPP under various environmental conditions were revealed, which provided a scientific basis for the study of NPP driving force in semiarid regions. Reference | Related Articles | Metrics Select Application of SWAT model driven by CMADS in Liuyang river basin ZHOU Ying, MAO De-hua, DENG Mei-rong HUBEI AGRICULTURAL SCIENCES    2022, 61 (5): 193-199.   DOI: 10.14088/j.cnki.issn0439-8114.2022.05.034 Abstract （316）      PDF （2133KB）（282）       Knowledge map    Save Taking Liuyang river basin as the research area, the hydrological mutation test of runoff sequence data from 1961 to 2015 was carried out. The SWAT model driven by China Atmospheric Assimilation Driven Data Set （CMADS） was used to simulate monthly runoff from 2009 to 2015. The SUFI-2 algorithm was used to analyze parameter sensitivity and uncertainty. The results show that the runoff series of Liuyang river basin changed abruptly in 1987, which was not consistent. SWAT model driven by CMADS can better simulate the runoff process of Liuyang river basin under the condition of inconsistent hydrological sequence, and the five indicators of determination coefficient, Nash coefficient, deviation percentage, root mean square error and standard deviation were within the error range. Among the 11 parameters related to runoff, SCS runoff curve coefficient, groundwater time delay, soil available water, base flow α-factor and soil saturated permeability coefficient are the most sensitive. Validation period and rate of periodic P-factor were greater than 0.5, R-factor were less than 1.0, simulation uncertainty was small. The research results can provide scientific reference for water resources management and regulation and distribution in Liuyang river basin, and provide strong support for the coupling between subsequent models. Reference | Related Articles | Metrics page Page 1 of 3 Total 6 records First page Prev page Next page Last page