Nitrogen and phosphorus losses by runoff erosion: Field data monitored under natural rainfall in Three Gorges Reservoir Area, China

CATENA ◽  
2016 ◽  
Vol 147 ◽  
pp. 797-808 ◽  
Author(s):  
Xiao Ma ◽  
Ye Li ◽  
Bolin Li ◽  
Weiyi Han ◽  
Dongbin Liu ◽  
...  
2011 ◽  
Vol 71-78 ◽  
pp. 3062-3066 ◽  
Author(s):  
Xiao Ma ◽  
Ye Li ◽  
Shuang Du ◽  
Fang Zhao Zheng

Recently, increasing nutrient (i.e., nitrogen and phosphorus) concentrations have been observed in the surface water of many countries and the non-point source (NPS) pollution has become an important factor in the deterioration of water quality in the Three Gorges Reservoir Area (TGRA). The spatial and temporal analysis of NPS pollution loads in the TGRA of Hubei from 2005 to 2009 were estimated using export coefficient model in this paper. The results indicated the nutrient from rainfall was the dominant NPS of both TN and TP pollution. The spatial analysis of N and P loads from NPS in the TGRA of Hubei showed that the nutrient loads in BD County and YL District were higher than the other two counties in the study area. These findings demonstrate that the model could provide a simple and reliable approach to evaluate N and P loads to TGRA of Hubei and may be useful for planning and management of the local agricultural watersheds


2010 ◽  
Vol 61 (6) ◽  
pp. 1601-1616 ◽  
Author(s):  
Lei Wu ◽  
Tian-yu Long ◽  
Chong-ming Li

Xiao-jiang, with a basin area of almost 5,276 km2 and a length of 182.4 km, is located in the center of the Three Gorges Reservoir Area, and is the largest tributary of the central section in Three Gorges Reservoir Area, farmland accounts for a large proportion of Xiao-jiang watershed, and the hilly cropland of purple soil is much of the farmland of the watershed. After the second phase of water storage in the Three Gorges Reservoir, the majority of sub-rivers in the reservoir area experienced eutrophication phenomenon frequently, and non-point source (NPS) pollution has become an important source of pollution in Xiao-jiang Watershed. Because dissolved nitrogen and phosphorus non-point source pollution are related to surface runoff and interflow, using climatic, topographic and land cover data from the internet and research institutes, the Semi-Distributed Land-use Runoff Process (SLURP) hydrological model was introduced to simulate the complete hydrological cycle of the Xiao-jiang Watershed. Based on the SLURP distributed hydrological model, non-point source pollution annual output load models of land use and rural residents were respectively established. Therefore, using GIS technology, considering the losses of dissolved nitrogen and phosphorus in the course of transport, a dissolved non-point source pollution load dynamic model was established by the organic coupling of the SLURP hydrological model and land-use output model. Through the above dynamic model, the annual dissolved non-point source nitrogen and phosphorus pollution output as well as the load in different types were simulated and quantitatively estimated from 2001 to 2008, furthermore, the loads of Xiao-jiang Watershed were calculated and expressed by temporal and spatial distribution in the Three Gorges Reservoir Area. The simulation results show that: the temporal changes of dissolved nitrogen and phosphorus load in the watershed are close to the inter-annual changes of rainfall runoff, and the different land-use type distribution has great impacts on the spatial changes of dissolved nitrogen and phosphorus load in the watershed; The nitrogen and phosphorus load of different land-use types in size with descending order is, glebe and mixed land, paddy, grassland, urban land, forestland; however, for the phosphorus load, the unit area output load of glebe and mixed land is almost the same as for paddy fields; The output contribution of nitrogen and phosphorus pollution load from land-use accounts for 78%–85%, while the output contribution from livestock and poultry occupies 13%–20%. The established load model was verified by observation data, simulation results show that the established model is reasonable, simulation accuracy is higher.


2021 ◽  
Vol 13 (15) ◽  
pp. 8490
Author(s):  
Hongjie Peng ◽  
Lei Hua ◽  
Xuesong Zhang ◽  
Xuying Yuan ◽  
Jianhao Li

In recent years, ecosystem service values (ESV) have attracted much attention. However, studies that use ecological sensitivity methods as a basis for predicting future urban expansion and thus analyzing spatial-temporal change of ESV are scarce in the region. In this study, we used the CA-Markov model to predict the 2030 urban expansion under ecological sensitivity in the Three Gorges reservoir area based on multi-source data, estimations of ESV from 2000 to 2018 and predictions of ESV losses from 2018 to 2030. Research results: (i) In the concept of green development, the ecological sensitive zone has been identified in Three Gorges reservoir area; it accounts for about 35.86% of the study area. (ii) It is predicted that the 2030 urban land will reach 211,412.51 ha by overlaying the ecological sensitive zone. (iii) The total ESV of Three Gorges Reservoir area showed an increasing trend from 2000 to 2018 with growth values of about USD 3644.26 million, but the ESVs of 16 districts were decreasing, with Dadukou and Jiangbei having the highest reductions. (iv) New urban land increases by 80,026.02 ha from 2018 to 2030. The overall ESV losses are about USD 268.75 million. Jiulongpo, Banan and Shapingba had the highest ESV losses.


2021 ◽  
Vol 13 (8) ◽  
pp. 4288
Author(s):  
Siyue Sun ◽  
Guolin Zhang ◽  
Tieguang He ◽  
Shufang Song ◽  
Xingbiao Chu

In recent years, soil degradation and decreasing orchard productivity in the sloping orchards of the Three Gorges Reservoir Area of China have received considerable attention both inside and outside the country. More studies pay attention to the effects of topography on soil property changes, but less research is conducted from the landscape. Therefore, understanding the effects of landscape positions and landscape types on soil properties and chlorophyll content of citrus in a sloping orchard is of great significance in this area. Our results showed that landscape positions and types had a significant effect on the soil properties and chlorophyll content of citrus. The lowest soil nutrient content was detected in the upper slope position and sloping land, while the highest exists at the footslope and terraces. The chlorophyll content of citrus in the middle and upper landscape position was significantly higher than the footslope. The redundancy analysis showed that the first two ordination axes together accounted for 81.32% of the total variation, which could be explained by the changes of soil total nitrogen, total phosphorus, total potassium, available nitrogen, available potassium, organic matter, pH, and chlorophyll content of the citrus. Overall, this study indicates the significant influence of landscape positions and types on soil properties and chlorophyll content of citrus. Further, this study provides a reference for the determination of targeted land management measures and orchard landscape design so that the soil quality and orchard yield can be improved, and finally, the sustainable development of agriculture and ecology can be realized.


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