Fanghua Hao

Soil erosion dynamics response to landscape pattern

Simulating soil erosion variation with a temporal land use database reveals long-term fluctuations in landscape patterns, as well as priority needs for soil erosion conservation. The application of a multi-year land use database in support of a Soil Water Assessment Tool (SWAT) led to an accurate assessment, from 1977 to 2006, of erosion in the upper watershed of the Yellow River. At same time, the impacts of land use and landscape service features on soil erosion load were assessed. A series of supervised land use classifications of Landsat images characterized variations in land use and landscape patterns over three decades. The SWAT database was constructed with soil properties, climate and elevation data. Using water flow and sand density data as parameters, regional soil erosion load was simulated. A numerical statistical model was used to relate soil erosion to land use and landscape. The results indicated that decadal decrease of grassland areas did not pose a significant threat to soil erosion, while the continual increase of bare land, water area and farmland increased soil erosion. Regional landscape variation also had a strong relationship with erosion. Patch level landscape analyses demonstrated that larger water area led to more soil erosion. The patch correlation indicated that contagious grassland patches reduced soil erosion yield. The increased grassland patches led to more patch edges, in turn increasing the sediment transportation from the patch edges. The findings increase understanding of the temporal variation in soil erosion processes, which is the basis for preventing local pollution.

Properties comparison of biochars from corn straw with different pretreatment and sorption behaviour of atrazine

Biochar has been recognised as an efficient pollution control material. In this study, biochars (CS450 and ADPCS450) were produced using corn straw with different pretreatment techniques (without and with ammonium dihydrogen phosphate (ADP)). The character of the two biochars was compared using elemental analysis, specific surface area (SSA) and Fourier transform infrared spectra (FTIR). ADPCS450 had a higher residue yield and a much larger specific surface area than CS450. The Freundlich, Langmuir and Redlich-Peterson models were used to interpret the sorption behaviour of atrazine (2-chloro-4-ethylamino-6-isopropylamino-1,3,5-triazine), and the results fit the Redlich-Peterson equation best. The isothermal sorption parameters indicated that the sorption capacity of atrazine on ADPCS450 was much larger than the sorption capacity of atrazine on CS450. Atrazine sorption was also favoured in acidic solution and under higher temperature conditions.

Soil erosion and sediment yield and their relationships with vegetation cover in upper stream of the Yellow River

Soil erosion is a significant concern when considering regional environmental protection, especially in the Yellow River Basin in China. This study evaluated the temporal-spatial interaction of land cover status with soil erosion characteristics in the Longliu Catchment of China, using the Soil and Water Assessment Tool (SWAT) model. SWAT is a physical hydrological model which uses the RUSLE equation as a sediment algorithm. Considering the spatial and temporal scale of the relationship between soil erosion and sediment yield, simulations were undertaken at monthly and annual temporal scales and basin and sub-basin spatial scales. The corresponding temporal and spatial Normalized Difference Vegetation Index (NDVI) information was summarized from MODIS data, which can integrate regional land cover and climatic features. The SWAT simulation revealed that the annual soil erosion and sediment yield showed similar spatial distribution patterns, but the monthly variation fluctuated significantly. The monthly basin soil erosion varied from almost no erosion load to 3.92 t/ha and the maximum monthly sediment yield was 47,540 tones. The inter-annual simulation focused on the spatial difference and relationship with the corresponding vegetation NDVI value for every sub-basin. It is concluded that, for this continental monsoon climate basin, the higher NDVI vegetation zones prevented sediment transport, but at the same time they also contributed considerable soil erosion. The monthly basin soil erosion and sediment yield both correlated with NDVI, and the determination coefficients of their exponential correlation model were 0.446 and 0.426, respectively. The relationships between soil erosion and sediment yield with vegetation NDVI indicated that the vegetation status has a significant impact on sediment formation and transport. The findings can be used to develop soil erosion conservation programs for the study area.

Vegetation NDVI Linked to Temperature and Precipitation in the Upper Catchments of Yellow River

Vegetation in the upper catchment of Yellow River is critical for the ecological stability of the whole watershed. The dominant vegetation cover types in this region are grassland and forest, which can strongly influence the eco-environmental status of the whole watershed. The normalized difference vegetation index (NDVI) for grassland and forest has been calculated and its daily correlation models were deduced by Moderate Resolution Imaging Spectroradiometer products on 12 dates in 2000, 2003, and 2006. The responses of the NDVI values with the inter-annual grassland and forest to three climatic indices (i.e., yearly precipitation and highest and lowest temperature) were analyzed showing that, except for the lowest temperature, the yearly precipitation and highest temperature had close correlations with the NDVI values of the two vegetation communities. The value of correlation coefficients ranged from 0.815 to 0.951 (p < 0.01). Furthermore, the interactions of NDVI values of vegetation with the climatic indicators at monthly interval were analyzed. The NDVI of vegetation and three climatic indices had strong positive correlations (larger than 0.733, p < 0.01). The monthly correlations also provided the threshold values for the three climatic indictors, to be used for simulating vegetation growth grassland under different climate features, which is essential for the assessment of the vegetation growth and for regional environmental management.

Evaluating spatial interaction of soil property with non-point source pollution at watershed scale: the phosphorus indicator in Northeast China.

To better understand the spatial dynamics of non-point source (NPS) phosphorus loading with soil property at watershed scale, integrated modeling and soil chemistry is crucial to ensure that the indicator is functioning properly and expressing the spatial interaction at two depths. Developments in distributed modeling have greatly enriched the availability of geospatial data analysis and assess the NPS pollution loading response to soil property over larger area. The 1.5 km-grid soil sampling at two depths was analyzed with eight parameters, which provided detailed spatial and vertical soil data under four main types of landuses. The impacts of landuse conversion and agricultural practice on soil property were firstly identified. Except for the slightly bigger total of potassium (TK) and cadmium (Cr), the other six parameters had larger content in 20-40 cm surface than the top 20 cm surface. The Soil and Water Assessment Tool was employed to simulate the loading of NPS phosphorus. Overlaying with the landuse distribution, it was found that the NPS phosphorus mainly comes from the subbasins dominated with upland and paddy rice. The linear correlations of eight soil parameters at two depths with NPS phosphorus loading in the subbasins of upland and paddy rice were compared, respectively. The correlations of available phosphorus (AP), total phosphorus (TP), total nitrogen (TN) and TK varied in two depths, and also can assess the loading. The soil with lower soil organic carbon (SOC) presented a significant higher risk for NPS phosphorus loading, especially in agricultural area. The Principal Component Analysis showed that the TP and zinc (Zn) in top soil and copper (Cu) and Cr in subsurface can work as indicators. The analysis suggested that the application of soil property indicators is useful for assessing NPS phosphorus loss, which is promising for water safety in agricultural area.

Status and challenges of water pollution problems in China: learning from the European experience

This paper provides a review of the water environment problems faced in China and a comparison with the European experience in dealing with such issues, with an attempt to emphasize the challenges in China. The paper also summarizes various studies in China to highlight the severity of water pollution problems faced by regulators, polluters and the general public. China’s water situation can be characterized by insufficient quantities of water, uneven distribution of water spatially and temporally, as well as poor water quality. Water pollution in China has spread from point source to non-point source, from fresh water to coastal water, and from surface water to groundwater. From the management and technological experience from EU, including water framework directive, water price system, desalination and groundwater recharge technologies, and from the analysis of water environment problems and management system in two regions, we could come to the conclusion that water price, water market and water tax could be introduced to China for water environment regulations. Moreover, it is necessary to establish a reliable risk assessment system for water quality, human health and ecological safety.

Modeling urban storm rainfall runoff from diverse underlying surfaces and application for control design in Beijing.

Managing storm rainfall runoff is paramount in semi-arid regions with urban development. In Beijing, pollution prevention in urban storm runoff and storm water utilization has been identified as the primary strategy for urban water management. In this paper, we sampled runoff during storm rainfall events and analyzed the concentration of chemical oxygen demand (COD), total suspended solids (TSS) and total phosphorus (TP) in the runoff. Furthermore, the first flush effect of storm rainfall from diverse underlying surfaces was also analyzed. With the Storm Water Management Model (SWMM), the different impervious rates of underlying surfaces during the storm runoff process were expressed. The removal rates of three typical pollutants and their interactions with precipitation and underlying surfaces were identified. From these rates, the scenarios regarding the urban storm runoff pollution loading from different designs of underlying previous rates were assessed with the SWMM. First flush effect analysis showed that the first 20% of the storm runoff should be discarded, which can help in utilizing the storm water resource. The results of this study suggest that the SWMM can express in detail the storm water pollution patterns from diverse underlying surfaces in Beijing, which significantly affected water quality. The scenario analysis demonstrated that impervious rate adjustment has the potential to reduce runoff peak and decrease pollution loading.

In situ remediation of cadmium-polluted soil reusing four by-products individually and in combination

PurposeThe aim of this study was to evaluate the effectiveness of mining, industrial and agricultural solid by-products in the in situ immobilisation of soil cadmium (Cd) based on soybean plant Cd content, soil pH, Cd extractability, bioavailability, leachability and Cd distribution in soils.Materials and methodsThe experiment was conducted as a field experiment in Cd-polluted-soil, wherein four by-products, including fly ash, spent mushroom substrate, silkworm excrement and limestone, were tested individually and in combination. The total Cd in soybean and the soil/by-products samples were determined. The Cd contents in the contaminated soil were analysed by the diffusive gradients in thin-film technique, the toxicity characteristic leaching procedure and four chemical methods. Changes in the fractions of Cd were determined following the Tessier method.Results and discussionThe results showed that all the additions of the by-products increased the soil pH significantly and simultaneously decreased Cd mobility, bioavailability and leachability, particularly weakened the rate of Cd2+ ion transport from soil to solution. The by-products caused 23.5–76.4% of the exchangeable (EX) fraction of Cd to immobilised Cd fractions which include carbonates bound (CA), Fe-Mn oxides bound (OX), organic matter bound and residual fractions. The mobile faction of Cd was reduced from 33.7 to 16.8–27.8% for the amendments addition, respectively. Limestone was the most effective in immobilising the soil Cd among all the treatments, followed by fly ash. Soil pH observed significantly negative correlations with the Cd concentration in extractability, bioavailability and leachability. Soil pH had positive correlations with the percentages of CA-Cd and OX-Cd, but negatively correlated with the percentages of EX-Cd and the sum of EX-Cd and CA-Cd.ConclusionsBy-products addition increased the soil pH and decreased Cd mobility, bioavailability and leachability. The addition of limestone and fly ash exhibited higher efficiency than the other five additions. The combined additions had better performance on Cd extractability and soil pH than the corresponding single treatment, which decreased more concentrations of mobile, bioavailable and leachable Cd. This study offered four potentially cost-effective amendments singly or jointly for Cd immobilisation, reducing the potential hazards associated with excess Cd and the waste-disposal pressure and promoting a resource-saving development strategy.

Long-term cultivation impact on the heavy metal behavior in a reclaimed wetland, Northeast China

PurposeHeavy metal fractionation varies according to land uses. To understand the behavior of heavy metals in wetland soils under long-term agricultural cultivation, we examined the distribution, source, and associated environmental risk of heavy metals in different types of wetland soils.Materials and methodsSoils were collected in cultivated lands, artificial ditches, and riparian zones from a reclaimed wetland in the Sanjiang Plain, Northeast China. They were analyzed for total concentrations and chemical fractions of Pb, Cd, Cu, Zn, Cr, and Ni, as well as pH, soil organic matter, total phosphorus, and particle size distribution.Results and discussionHeavy metal concentrations were significantly lower in cultivated wetland than in ditch and riparian wetlands. Riparian wetland was found to exhibit the highest metal concentrations. When compared with other two wetland types, the cultivated wetland showed much higher partitioning levels of heavy metals in the acid-soluble fraction and lower partitioning levels in the oxidizable fraction. Although Cr, Cu, and Ni in ditch and riparian wetlands were identified as the metal pollutants of primary concern, they had a low or no risk of further dispersion to other environmental components. Weathering of parent materials was the main source of Cr and Cu, Pb, Cd, and Zn originated mainly from agricultural practices, and Ni emanated from a mixture of sources.ConclusionsLong-term agricultural cultivation can lead to significant heavy metal loss in cultivated wetland but enrich heavy metal concentrations in ditch and riparian wetlands. Periodic ditch dredging is considered an effective measure for decreasing heavy metal input into the fluvial system and thereby reducing the dispersion to the regional water environment.

Anthropogenic impact on diffuse trace metal accumulation in river sediments from agricultural reclamation areas with geochemical and isotopic approaches.

A better understanding of anthropogenic impact can help assess the diffuse trace metal accumulation in the agricultural environment. In this study, both river sediments and background soils were collected from a case study area in Northeast China and analyzed for total concentrations of six trace metals, four major elements and three lead isotopes. Results showed that Pb, Cd, Cu, Zn, Cr and Ni have accumulated in the river sediments after about 40 years of agricultural development, with average concentrations 1.23-1.71 times higher than local soil background values. Among them Ni, Cr and Cu were of special concern and they may pose adverse biological effects. By calculating enrichment factor (EF), it was found that the trace metal accumulation was still mainly ascribed to natural weathering processes, but anthropogenic contribution could represent up to 40.09% of total sediment content. For Pb, geochemical and isotopic approaches gave very similar anthropogenic contributions. Principal component analysis (PCA) further suggested that the anthropogenic Pb, Cu, Cr and Ni inputs were mostly related to the regional atmospheric deposition of industrial emissions and gasoline combustion, which had a strong affinity for iron oxides in the sediments. Concerning Cd, however, it mainly originated from local fertilizer applications and was controlled by sediment carbonates.