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土壤污染物中敌敌畏物质含量检测数据

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浙江省数据知识产权登记平台2024-12-05 更新2024-12-06 收录
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通过检测数据分析研判,我们可以判断土壤污染物中敌敌畏物质是否超标,避免因敌敌畏物质持续污染而产生的污染问题,有以下几点作用。一、进行土壤污染治理可以减少农作物中的该有害物质含量,确保食品的质量和安全;二、根据检测结果可有针对的改善士壤质量,提高土壤的生产力,可以为农业发展提供可持续的基础,同时也有利于保护和改善环境。另外可结合地理信息系统(GIS)技术,将各地点的土壤地理数据和污染物含量信息进行深度整合和分析,绘制位置-污染物含量地图,以直观的可视化形式呈现给用户,增强地理位置与污染物含量关系的理解,构建起一个包含污染源、污染物种类、污染程度、污染扩散路径等多维度信息的地理图谱。这一图谱不仅能够提供实时的监测数据,还能够通过数据之间的关联性,揭示潜在的污染风险和趋势。数据采集:对各地区不同地点进行土壤采集,不同地点采集的土壤按样品编号进行划分,对采集的土壤污染物中敌敌畏物质进行含量检测。数据判定:按X= C2* V0*D/ Vw 公式中X为土壤污染物中敌敌畏物质含量,式中C2为萃取液中浓度;V0为萃取液体积,D为稀释倍数,Vw为取样量。敌敌畏物质含量标准要求为0.05mg/kg,若土壤污染物中敌敌畏物质含量不大于0.05mg/kg,则该土壤的检测结果为合格,否则检测结果为不合格。另外当月敌敌畏物质含量与上月历史含量相比,分为增加、降低和不变,污染程度依次可评为加重、减轻和持平。

Through data analysis and judgment of detection results, we can determine whether the dichlorvos content in soil pollutants exceeds the standard, so as to prevent pollution problems caused by continuous dichlorvos contamination. This system has the following functions: 1. Soil pollution remediation can reduce the content of this harmful substance in crops, ensuring the quality and safety of food; 2. Targeted improvement of soil quality can be conducted based on detection results, enhancing soil productivity and providing a sustainable foundation for agricultural development, while also contributing to environmental protection and improvement. In addition, by integrating Geographic Information System (GIS) technology, we can perform in-depth integration and analysis of soil geographic data and pollutant concentration information from various locations, and generate a location-pollutant concentration map, presenting it to users in an intuitive visual format to strengthen the understanding of the correlation between geographic location and pollutant concentration. A geographic atlas covering multi-dimensional information such as pollution sources, pollutant types, pollution degrees, and pollution diffusion paths will be constructed. This atlas not only provides real-time monitoring data, but also reveals potential pollution risks and trends through the correlation between different datasets. Data Collection: Soil samples are collected from different locations across various regions. Soils collected from different locations are classified by sample numbers, and the dichlorvos content in the soil pollutants of the collected samples is detected. Data Judgment: The dichlorvos content in soil pollutants is calculated using the formula $X = frac{C_2 imes V_0 imes D}{V_w}$, where $X$ represents the dichlorvos content in soil pollutants; $C_2$ is the concentration of the extract; $V_0$ is the volume of the extract; $D$ is the dilution factor; and $V_w$ is the sample volume. The standard limit for dichlorvos content is 0.05 mg/kg. If the dichlorvos content in soil pollutants is no greater than 0.05 mg/kg, the soil detection result is qualified; otherwise, it is unqualified. Additionally, compared with the historical content of the previous month, the monthly dichlorvos content can be categorized into three scenarios: increase, decrease, and no change, and the pollution degree can be rated as aggravated, alleviated, and unchanged accordingly.
提供机构:
杭州晟倬双博科技有限公司
创建时间:
2024-10-29
搜集汇总
数据集介绍
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特点
该数据集包含7536条土壤中敌敌畏物质含量的检测数据,每月更新,用于分析土壤污染情况并支持治理决策。数据通过特定算法计算敌敌畏含量,并结合GIS技术进行可视化分析。
以上内容由遇见数据集搜集并总结生成
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