Cadmium (Cd) is a common heavy metal contaminant which seriously affects plant growth and environmental safety. Biochar, as an organic soil amendment, has been shown to effectively mitigate Cd damage to plants. To study the effectiveness of biochar on mitigating Cd stress, Mentha piperita ‘chocolate’ and Mentha spicata were used in a pot experiment of Cd stress with a CdCl₂ solution (10 mg Kg⁻¹), while a biochar suspension (0, 40, 80, and 160 g Kg⁻¹) was applied to the soil. The effects of Cd on the growth, physiological and biochemical properties, and Cd content in plant tissues of both mint species were found to be significant. The application of 40 g Kg⁻¹, 80 g Kg⁻¹, 160 g Kg⁻¹ biochar significantly alleviated Cd damage to both mint species, increased plant height, leaf length, leaf width, biomass, photosynthetic rate, transpiration rate, stomatal conductance, and chlorophyll content, and decreased antioxidant enzyme activities (including superoxide dismutase, catalase, peroxidase, and polyphenol oxidase) and non-enzymatic antioxidant content (including flavonoids and total phenols). Biochar effectively reduced the Cd uptake by plants and decreased the migration and transformation capacity of Cd in the soil–plant system. In addition, the available nitrogen (available N), available phosphorus (available P), available potassium (available K), and pH in the soil increased after biochar application compared to non-biochar amended soil. The addition of 160 g Kg⁻¹ biochar was shown to have the best performance of the application rates in this experiment and may be considered as an effective way to reduce the damage caused by Cd contamination to M. piperita ‘chocolate’ and M. spicata.

Condensing the multi-dimensional digital model of green urban design, and constructing a digital method system of it progressively layer by layer. Based on this research background, the dissertation designs the spatial form of landscape architecture based on the data visualisation of nonlinear technology. The article uses the colour zoning method to design the actual scene of the garden landscape with nonlinear parameteriszation. The simulation result analyses that the proposed nonlinear algorithm has realised the efficiency improvement purpose of landscape architecture design.

Old industrial areas have low quality and spatial differentiation of urban green space (UGS), which makes it difficult to meet the public's physical activity needs and leads to increased health risks. The purpose of this study is to explore the equity of UGS patterns in old industrial areas and its internal relationship with residents' health status. This study selecteds relevant indicators to evaluate the equity of UGS patterns in the Harbin area and used linear regression analysis to explore the correlation between attributes of old industrial areas and UGS patterns. Additionally, this study explored the spatial correlation of UGSs using Moran's index and hotspot analysis. Finally, a report on residents' health was generated through a questionnaire survey, using linear regression analysis to explore the factors affecting residents' self-rated health and the significance of their correlation. The results showed that there is an excess supply around the core industrial zone in the west, while the rural areas in the south face a serious shortage of supply. The significance between the factors representing age and income in industrial attributes and UGS pattern was less than 0.05. We observed that residents' self-rated health was positively affected by the intensity of physical activity (low intensity B = 2.073, medium intensity B = 2.359, high intensity B = 2.512) and the frequency of physical activity (B = 1.174). Ages (B = -0.597) and three generations living together (B = -3.191), which represent the industrial attributes, had a negative impact on residents' self-rated health. To a certain extent, industrial attributes aggravate the mismatch of UGS patterns, leading to abnormal areas in spatial clustering. The quality of UGS in the old industrial zone is low and the movement is not strong; thus, the population characteristics and income have become the important factors affecting the health of residents.

Based on the coupled human–environment, and taking the Hegang coal mining area (Heilongjiang Province, China) as a research area, combined with RS and GIS technologies, from the perspectives of environmental exposure, sensitivity, and adaptive capacity, the analytic hierarchy process and expert consultation methods were used to establish the evaluation index system and weight. Then the mathematical model of vulnerability assessment was constructed, and the spatial analysis method was used to dynamically identify and evaluate the vulnerability of land use in the study areas in 1994, 2006, 2010, and 2014. The results show that: 1) the vulnerability of land use shows an increasing trend from 1994-2014, and most of the landscape types show a strong dominant vulnerability; 2) the adaptive capacity of land use gradually became unstable under the influence of human–land coupling, and the land-use environment showed the trend of transformation from potential vulnerability to extreme vulnerability under the dual action of sensitivity and exposure; 3) from the type of land use, the vulnerability of coal mine land and unutilized land was relatively prominent. The two landscape types were mostly distributed in severe or extremely vulnerable areas over the past 20 years, indicating a greater degree of interference. The results provide the decision-making basis for the scientific planning and management of the land, and provide guidance for ecological restoration and environmental protection.

This Article aims at the current high idle rate of landscaped gardens and a single overall style. The article inputs the quantitative relationship programming of the dynamic model of the urban landscape ecological city system into the Grasshopper software to obtain the urban landscape parameter growth curve, and at the same time applies the nonlinear parameterized model method to the landscape design. The research found that the feature form of the landscape garden presented in the thesis is mainly based on the nonlinear transformation of the local analysis structure feature. In the end, the thesis deeply researches the existing operating modes based on the concept of nonlinear thinking. Furthermore, it combines with information technology to supplement and update the traditional landscape construction from different perspectives.