JP2018112818A - Kinetic screening method of factory processing in operation - Google Patents

Kinetic screening method of factory processing in operation Download PDF

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JP2018112818A
JP2018112818A JP2017001789A JP2017001789A JP2018112818A JP 2018112818 A JP2018112818 A JP 2018112818A JP 2017001789 A JP2017001789 A JP 2017001789A JP 2017001789 A JP2017001789 A JP 2017001789A JP 2018112818 A JP2018112818 A JP 2018112818A
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factory
data
industry
survey
list
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何建仁
Ching-Jen Ho
董天行
Tien-Hsing Tung
郭綉娟
Hsiu-Chuan Kuo
▲頼▼俊吉
Chun-Chi Lai
張富傑
Fu-Chieh Chang
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Environmental Protection Administration Executive Yuan Roc (taiwan)
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Environmental Protection Administration Executive Yuan Roc (taiwan)
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Abstract

PROBLEM TO BE SOLVED: To provide a kinetic screening method of factory processing in operation.SOLUTION: A kinetic screening method of factory processing in operation is used for control of multiple factories in which processing having a high degree of a serious risk of contamination is in operation, and includes a list sorted based on an initial evaluation of a risk level of factory processing generated by a risk evaluation module classified into three levels based on basic data of a registration application of the factory in operation and parameter data of the processing. After an environment site assessment is conducted based of an order of priority of the sorted list, a level evaluation survey list of the risk of the factory processing in operation according to a current situation is generated by a fourth level risk evaluation module. After the survey is conducted based on the order of priority of the sorted list, a first level risk evaluation module to the fourth level risk evaluation module are adjusted to be optimized by a correction evaluation process, to thereby improve the efficiency and accuracy of survey and control of a factory in operation in the future.SELECTED DRAWING: Figure 1

Description

本発明は、作動中の工場プロセスの動的なスクリーニング方法に関する。   The present invention relates to a dynamic screening method for an operating factory process.

工業汚染とは工業生産過程で形成される排気、排水及び固体の排出物が環境汚染を引き起こすことを言い、工業汚染は環境汚染の主要な汚染源の一つである。作動中の工場の多くのプロセスにリスクが潜んでおり、持続的或いは漸進的にプロセスが作動することで環境汚染が引き起こされ、人々の健康に影響が及ぶ。
また、資源も有限であるため、最も有効的な方法は、プロセスに高いリスクが潜んでいる作動中の工場をスクリーニングにより選別し、プロセスに高いリスクが潜むこれらの作動中の工場の管制を行う方法である。
Industrial pollution means that exhaust, wastewater, and solid emissions formed during industrial production cause environmental pollution, and industrial pollution is one of the main sources of environmental pollution. There are risks in many processes in the factory that are in operation, and the continuous or gradual operation of the process causes environmental pollution and affects people's health.
Also, since resources are finite, the most effective method is to screen operating factories with high risk in the process and control those active factories with high risk in the process. Is the method.

プロセスに高いリスクが潜む作動中の工場のスクリーニング方法は、従来は工場の登録データに基づいて評価を下した後、各工場のプロセスの潜在リスクの評価結果を作成し、各工場のプロセスの潜在リスクの評価結果に基づいて優先調査リストを作成する。優先調査リストは高い汚染リスクがある作動中の工場リストを含み、後続の調査及び管制に利用される。   The screening method for an operating factory that has a high risk in the process is conventionally evaluated based on the factory registration data, and then the evaluation result of each factory process is created, and the process potential of each factory is Create a priority survey list based on risk assessment results. The priority survey list includes a list of active factories with high risk of contamination and is used for subsequent surveys and controls.

しかしながら、早期の工場プロセスのデータには不備や誤植が多く、工場プロセスのデータも景気動向や、産業の動態、環境保護法等の要因により変化するため、その動態も変化し、工場プロセスのデータのみに基づいて作動中の工場プロセスのリスクレベルを決定するのでは、作動中の工場の持続的或いは漸進なプロセスの実際のリスクが表に出にくく、判断しにくかった。
このため、従来の方法では、数量が多く記録やデータに不備がある作動中の工場の管制には、人手や費用が掛かり過ぎ、物的時間的コストも高騰した。
However, there are many deficiencies and typographical errors in the early factory process data, and the factory process data changes depending on factors such as economic trends, industry dynamics, environmental protection laws, etc. Determining the risk level of an operating factory process based solely on the actual risk of a continuous or gradual process of an operating factory is difficult to reveal and difficult to judge.
For this reason, in the conventional method, it takes too much manpower and cost to control an operating factory that is large in quantity and lacks records and data, and the physical and cost has increased.

そこで、本発明者は上記の習知プロセスリスク管制方法の欠点が改善可能と考え、鋭意検討を重ねた結果、合理的かつ効果的に課題を改善する本発明の提案に到った。   Therefore, the present inventor considered that the drawbacks of the learning process risk control method described above can be improved, and as a result of intensive studies, the present inventor has arrived at the proposal of the present invention to improve the problem reasonably and effectively.

本発明は、以上の従来技術の課題を解決する為になされたものである。即ち、本発明の目的は、産業体系における作動中の工場の実際の状況に則した系統的な評価結果を作成することで、作動中の工場プロセスのリスクレベルの評価の実効性を高め、作動中の工場に対する後続の調査及び管制をより効率的に行う、作動中の工場プロセスの動的なスクリーニング方法を提供することにある。   The present invention has been made to solve the above-described problems of the prior art. That is, the object of the present invention is to create a systematic evaluation result in accordance with the actual situation of an operating factory in an industrial system, thereby improving the effectiveness of the risk level evaluation of the operating factory process. It is to provide a dynamic screening method for an operating factory process that makes subsequent inspection and control of the factory inside more efficient.

上述した課題を解決し、目的を達成するための本発明に係る作動中の工場プロセスの動的なスクリーニング方法は、各業種別の各作動中の工場のプロセスのリスクデータが提供される準備工程と、各作動中の工場から提供されたプロセスのリスクデータに基づいて、高リスクの注目すべき目標化合物を選別する第一レベル評価工程と、各作動中の工場から提供されたプロセスのリスクデータに基づいて、潜在汚染度の高い業種を選別する第二レベル評価工程と、前記注目すべき目標化合物の申告量及び前記業種別の規模データに基づいてレベル式クロスフィルターを行い、予備調査リストを作成し、優先順位をつけて作動中の工場の環境サイトアセスメントを行う根拠とする第三レベル評価工程と、前記予備調査リストに基づいて初期評価結果及び地域経験データが提供され、調査リストが作成され、優先順位をつけて作動中の工場の調査及び検証作業を行う根拠とする第四レベル評価工程と、前記調査リストに基づいて現場検証が行われ、実際の調査結果に基づいて前記第一レベル評価工程における前記注目すべき目標化合物の重要性、前記第二レベル評価工程における前記潜在汚染度の高い業種別の重要性、前記第三レベル評価工程における前記環境サイトアセスメントの重要性、及び前記第四レベル評価工程における前記調査リストの順序の調整が行われる補正評価工程と、前記補正評価工程で修正された前記第一レベル評価工程乃至第四レベル評価工程の重要性に基づいて、新たにソートされた現場検証の調査リストが獲得されるソートされたリストの評価工程とを含むことを特徴とする。   In order to solve the above-described problems and achieve the object, the dynamic screening method for an operating factory process according to the present invention is a preparatory step in which risk data of each operating factory process is provided for each industry. And a first-level assessment process that selects high-risk notable target compounds based on process risk data provided by each operating factory, and process risk data provided by each operating factory. Based on the second level evaluation process to select industries with high potential pollution level, and the level cross-filter is performed based on the reported amount of the target compound to be noted and the scale data for each industry. A third-level evaluation process based on the preliminary survey list and a third-level evaluation process that is based on Local experience data is provided, a survey list is prepared, and a fourth-level evaluation process is used as the basis for conducting a survey and verification work of the operating factory with priority, and on-site verification is performed based on the survey list. Based on the actual survey results, the importance of the target compound to be noted in the first level evaluation process, the importance of the high level of potential contamination in the second level evaluation process, and the third level evaluation A correction evaluation step in which the importance of the environmental site assessment in the process and the order of the survey list in the fourth level evaluation step are adjusted, and the first level evaluation step through the fourth level corrected in the correction evaluation step Based on the importance of the level assessment process, a newly sorted field verification survey list is obtained that includes a sorted list assessment process. The features.

好ましくは、準備工程には、各業種別の各作動中の工場の登録申請の基本データを更に含む。   Preferably, the preparation process further includes basic data of a registration application for each operating factory for each industry.

好ましくは、第一レベル評価工程における前記注目すべき目標化合物のフィルタリングは複数の評価要素に基づいて選定され、前記評価要素は垂直移動特性と、地下水の汚染の危険性と、発がんリスクの高さと、汚染地の出現率と、前期計画の獲得率と、注目すべき目標化合物の反応生成経路とを含む。   Preferably, the filtering of the target compound of interest in the first level evaluation step is selected based on a plurality of evaluation factors, which include vertical movement characteristics, the risk of contamination of groundwater, and the high risk of carcinogenesis. Including the appearance rate of contaminated areas, the acquisition rate of the previous plan, and the reaction generation route of the target compound to be noted.

好ましくは、第二レベル評価工程における前記潜在汚染度の高い業種別のフィルタリングは、国外の工業と比較した国内の相関する業種、及び国内の汚染公告地の事業統計ソース別データを参照する以外、さらに国内の管制地域の業種別データも収集され、国内で作動する潜在汚染度の高い業種別の分布状況が判明する。   Preferably, the filtering by industry with a high degree of potential pollution in the second level evaluation process refers to data related to business statistics sources of domestic correlated industries compared to foreign industries, and domestic pollution announcement sites, In addition, data by industry in the controlled areas of the country is also collected, and the distribution situation by industry with high potential pollution operating in the country is revealed.

好ましくは、第二レベル評価工程において、業種別登記データは工場の業種の多様性の状況を含み、よって業種別のフィードバックを初期成果の評価結果に加えるように修正するか検討し、適合する潜在汚染度の高い業種別に討論を行う判断をする。   Preferably, in the second level evaluation process, the industry-specific registration data includes the status of the industry diversity of the factory, so whether to correct the industry-specific feedback to be added to the initial results evaluation results, Judgment to discuss by type of industry with high pollution.

好ましくは、第三レベル評価工程において、規模データは、潜在汚染度の高い業種別の総分類、単一の潜在汚染度の高い業種別の申告総量のソート、注目すべき目標化合物の申告総分類、注目すべき目標化合物の申告総合ソート、解放量の有無、湿式プロセス、設置年代、検査処分データ等の評価要素に基づいてクロスソートを行う。   Preferably, in the third-level evaluation process, the scale data includes the total classification by industry with a high degree of potential contamination, the sorting of the total amount of declaration by a single industry with a high degree of potential contamination, and the total classification of a target compound to be noted. Cross sorting is performed based on evaluation factors such as the comprehensive classification of target compounds to be noticed, the presence or absence of release, wet process, installation age, and inspection disposal data.

好ましくは、第四レベル評価工程において、初期評価結果は地域についての厳正な初期評価結果に基づいて、工場の作動履歴、製造工程の特性、及び地域の水文学的条件を考慮する。
好ましくは、第四レベル評価工程において、初期評価は前記地域での後続の多重な調査技術の応用を更に考慮し、潜在汚染度の高い土壌及び地下水のサンプリングに適した位置の分布が決定され、調査及び検証の成果を総合的に考慮し、同時に潜在汚染度の高い業種別の工場の調査の比重を考慮し、調査リストを作成する。
Preferably, in the fourth level evaluation process, the initial evaluation result takes into account the operation history of the factory, the characteristics of the manufacturing process, and the hydrological conditions of the area based on a strict initial evaluation result for the area.
Preferably, in the fourth level assessment process, the initial assessment further considers the application of subsequent multiple survey techniques in the area, and the distribution of locations suitable for sampling of highly contaminated soil and groundwater is determined, A survey list will be created taking into consideration the results of the survey and verification comprehensively, and at the same time taking into account the specific gravity of surveys by factories with high potential pollution levels.

好ましくは、第四レベル評価工程において、地域経験データは地域の環境保護機関の長年の調査経験が結合され、管轄区域の変遷及び汚染情報の伝聞がフィルタリングデータを提供するための情報源となり、アンケート方式によりその地域の経験が工場の潜在的な汚染の研究分析を補助するために提供され、さらには管轄区域の潜在汚染度の高い工場リストが指定調査リストとして提供される。   Preferably, in the fourth level assessment process, the local experience data is combined with the long-term research experience of local environmental protection agencies, and the transition of the jurisdiction and hearing of pollution information becomes the information source for providing filtering data, the questionnaire The system provides local experience to assist in research and analysis of potential contamination of factories, and a list of high-potential factories in the jurisdiction is provided as a designated survey list.

好ましくは、第四レベル評価工程において、地域経験データはプロセスの作動データ及びロケーション感度データを更に含み、プロセスの作動データは工場の設立時期が早い程優先度が高くなり、産業別のプロセスの作動特性及び湿式プロセスの施設より重要度も高くなり、同時に国内外の塩素を含む有機溶剤のプロセスの作動過程で土や水の汚染問題が発生しやすい地域の比較、関連する調査及び罰金データが収集され、フィルタリングされた工場が同じような潜在汚染度区域を含むか否か評価され、且つ調査の優先度に応じてリストの順序が調整される。ロケーション感度データは水源保護区の近隣、灌漑農地の近隣、普通の地下水、人口密度が高い地区が優先的にフィルタリングされ、調査の優先度に応じてリストの順序が調整される。   Preferably, in the fourth level evaluation process, the regional experience data further includes process operation data and location sensitivity data, and the process operation data has a higher priority as the factory is established earlier, and the process operation by industry Characteristic and wet process facilities are more important, and at the same time, comparisons of areas prone to soil and water contamination problems during the operation of organic solvent processes containing chlorine at home and abroad, and related surveys and fine data are collected And whether the filtered plant contains similar potential pollution areas and adjusts the list order according to the priority of the survey. Location sensitivity data is preferentially filtered near water source reserves, near irrigated farmland, normal groundwater, and densely populated areas, and the list order is adjusted according to survey priority.

好ましくは、補正評価工程において、実際の調査結果は、汚染物の項目の申告総量、製品のライフサイクルの考慮、業種別の作動中の工場プロセスの申告総量の規模及び比率の考慮、プロセスの作動特性及び設置年代を含む。   Preferably, in the amendment evaluation process, the actual survey results include the total declaration amount of the pollutant item, the consideration of the product life cycle, the consideration of the size and ratio of the total declaration amount of the operating factory process by industry, the operation of the process Includes characteristics and installation age.

本発明によれば、産業体系における作動中の工場の実際の状況に則した系統的な評価結果を作成することで、作動中の工場プロセスのリスクレベルの評価の実効性を高め、作動中の工場に対する後続の調査及び管制をより確実かつ効率的に行う。   According to the present invention, by creating a systematic evaluation result in accordance with the actual situation of the operating factory in the industrial system, the effectiveness of the risk level evaluation of the operating factory process is enhanced, Make subsequent investigations and controls on the factory more reliable and efficient.

本発明の好ましい実施形態を示すフローチャートである。It is a flowchart which shows preferable embodiment of this invention.

以下に図面を参照して、本発明を実施するための形態について、詳細に説明する。なお、本発明は、以下に説明する実施形態に限定されるものではない。   Hereinafter, embodiments for carrying out the present invention will be described in detail with reference to the drawings. Note that the present invention is not limited to the embodiments described below.

(第1実施形態)
図1は本発明の実施形態に係る作動中の工場プロセスの動的なスクリーニング方法を示す。主に準備工程10と、第一レベル評価工程20と、第二レベル評価工程30と、第三レベル評価工程40と、第四レベル評価工程50と、補正評価工程60と、ソートされたリストの評価工程70とを含み、以下の工程を更に含む。
(1)準備工程10では、各業種別の各作動中の工場のプロセスのリスクデータが提供される。本実施形態において、準備工程10は、各業種別の各作動中の工場の登録申請された基本データを更に含み、前記プロセスのリスクデータは更にプロセスのパラメータデータを少なくとも含む。
(First embodiment)
FIG. 1 illustrates a dynamic screening method for an operating factory process according to an embodiment of the present invention. Mainly the preparation step 10, the first level evaluation step 20, the second level evaluation step 30, the third level evaluation step 40, the fourth level evaluation step 50, the correction evaluation step 60, and the sorted list Evaluation step 70, and further includes the following steps.
(1) In the preparation step 10, risk data of the process of each operating factory for each industry is provided. In the present embodiment, the preparation step 10 further includes basic data for which registration is applied for each operating factory for each industry, and the process risk data further includes at least process parameter data.

ちなみに、原料の使用、製造、保存、及び廃棄量は、産業の景況、メーカー自身の生産プロセスの管理の良し悪し、工場の拡張等の企業戦略による逐年の変化の差異等による影響を受ける。産業の作動場所データ(年代、経年使用量、応用面の検討を含み、例えば各産業分野においてプロセスで使用される各化合物の用途及び用量には差異がある)の汚染物の項目を収集し、且つ欠損した年代を含むデータを獲得する。
例えば、データベースの検索範囲では早期において塩素を含む有機溶剤が使用された場所を遡って検索することができず、特に早期において塩素を含む有機溶剤が使用されていた潜在汚染度の高い業種でも、現在使用していない場合がある。
By the way, the use, production, storage, and disposal of raw materials are affected by the business conditions of the industry, the management of the manufacturer's own production process, and the difference in the yearly change due to the company strategy such as factory expansion. Collect contamination items of industrial site data (including age, aging, application considerations, eg differences in the use and dose of each compound used in the process in each industry sector); In addition, data including missing age is acquired.
For example, in the database search scope, it is not possible to search retrospectively for places where organic solvents containing chlorine were used early, especially in industries with high potential pollution levels where organic solvents containing chlorine were used early. It may not be currently used.

また、塩素を含む有機化合物に関して言えば、吸着、揮発、溶解、変換、移動等の多重な物理的、化学的及び生物的特性のために、異なる周囲媒質中での分布及び劣化状況には差異が生じる。環境汚染物の検測データは環境への流布の分析に用いられ、且つその意義が読み取られる。
例えば、化合物の検証率のフィードバックを検討することで前記地域の申告記録項目のみが計算され、その調査結果が正確にフィードバックの分析に帰結するならば、劣化機構による誤差が排除される。
In terms of organic compounds containing chlorine, the distribution and degradation conditions in different surrounding media differ due to multiple physical, chemical and biological properties such as adsorption, volatilization, dissolution, transformation and transfer. Occurs. Inspection data of environmental pollutants is used for analysis of distribution to the environment, and its significance is read.
For example, if only the declaration record items in the region are calculated by considering the feedback of the verification rate of the compound, and the result of the survey accurately results in the analysis of the feedback, the error due to the deterioration mechanism is eliminated.

第一レベル評価工程20では、各作動中の工場から提供されたプロセスのリスクデータに基づいて、高リスクの注目すべき目標化合物を選別する。本実施形態において、注目すべき目標化合物について、塩素を含む化合物を例とする実施形態を説明する。
第一レベル評価工程20における前記注目すべき目標化合物のフィルタリングは複数の評価要素に基づいて選定され、前記評価要素は垂直移動特性と、地下水の汚染の危険性と、発がんリスクの高さと、汚染地の出現率と、前期計画の獲得率と、注目すべき目標化合物の反応生成経路とを含む。例えば以下の表1に示す。
In the first level evaluation step 20, high-risk target compounds to be noticed are selected based on the process risk data provided from each operating factory. In this embodiment, an embodiment will be described in which a target compound to be noted is a compound containing chlorine.
The filtering of the target compound to be noted in the first level evaluation step 20 is selected based on a plurality of evaluation factors, which are vertical movement characteristics, the risk of contamination of groundwater, the high risk of carcinogenesis, and the contamination. It includes the appearance rate of the ground, the acquisition rate of the previous plan, and the reaction generation route of the target compound to be noted. For example, it is shown in Table 1 below.

以下を注記する。
1、発がん性物質については国家癌症研究署(IRIS)を参照し、よくある反応生成経路はMcCarty and Semprini(1994)及びVogel et al.(1987)を参照し、発がん性物質の設定は地区の違いに基づいて改変される。
2、1,1,2−トリクロロエタンの比重/粘度の数値は他の汚染物よりも明らかに高い。
3、ジクロロメタン及び1,2−ジクロロエタンの溶解度/地下水の管制基準値は他の汚染物より明確に高くなる。
4、クロロエチレンはIARC及びIRISにより発がん性物質であると確定されている。
5、ATSDRが調査した1444箇所の地域中、トリクロロエチレン及びパークロロエチレンはそれぞれ391箇所及び309箇所の地域で発見され、他の汚染物より顕著に高く、1.1−ジクロロエタンは本実施形態では地下水の管制基準が緩いため、獲得しにくく、この部分については需要に応じて基準が設定される。
6、化合物の反応の生成劣化環境経路を考慮することで、注目すべき化合物が累積する可能性を評価する。塩素を含む有機物の脱塩素劣化の経路を例にすると、例えばクロロエチレン類VCは0点、cis−1,2−DCEは1点、TCE及びPCEは2分とする。
7、前四期の計画で検出されて毒物管理データベースに申告されたものは検出率が計算され、検出率が0の場合は0点、50%以下の場合は1点、51%以上の場合は2点とし、また、申告地域の数量が10箇所を超えるか、或いは基準を超過する地域が5箇所以上のものも点数を計算される。
8、符合「」:含める、符合「○」:非毒性化学物質の管制物質、業種別の補助フィルタリングの調整を強化する。
Note the following:
1. Refer to the National Cancer Institute (IRIS) for carcinogens, and common reaction generation pathways are McCarty and Emprini (1994) and Vogel et al. (1987), carcinogen settings are modified based on regional differences.
The numerical value of specific gravity / viscosity of 2,1,1,2-trichloroethane is clearly higher than other contaminants.
3. Solubility of dichloromethane and 1,2-dichloroethane / groundwater control standard values are clearly higher than other pollutants.
4. Chloroethylene has been determined to be a carcinogen by IARC and IRIS.
5. Of the 1444 areas surveyed by ATSDR, trichlorethylene and perchlorethylene were found in 391 and 309 areas, respectively, which were significantly higher than other pollutants, and 1.1-dichloroethane was groundwater in this embodiment. Because the control standards are so lenient, it is difficult to acquire, and standards are set according to demand for this part.
6. Evaluate the possibility of accumulation of notable compounds by taking into account the generation and degradation environment pathways of compound reactions. Taking the path of dechlorination degradation of organic substances containing chlorine as an example, for example, chloroethylenes VC are 0 points, cis-1,2-DCE is 1 point, and TCE and PCE are 2 minutes.
7. The detection rate is calculated for those detected in the plan of the previous four seasons and declared in the poison management database. If the detection rate is 0, 0 points, if it is 50% or less, 1 point, if 51% or more The score is also calculated when the number of areas in the reporting area exceeds 10 or the number of areas exceeding the standard is 5 or more.
8. Code “ V ”: Include, Code “O”: Control of non-toxic chemical substances, and adjustment of auxiliary filtering by industry.

ちなみに、調査成果に基づいて初期フィルタリングのフロントエンドのデータを正確にフィードバックし、検査して毎期の注目すべき目標化合物の評価要素のソート及び重要性を検討する。即ち、毎回作動中の工場プロセスの動的なスクリーニング方法を行う際に、前記注目すべき目標化合物の数量が完全に一致するわけではないため、前記注目すべき目標化合物の獲得フィードバックによって機構の調整を行う。   By the way, based on the survey results, the data of the front-end of the initial filtering is accurately fed back and examined to examine the sort and importance of the target compound evaluation factors for each period. That is, when the dynamic screening method of the factory process that is operating every time is performed, the quantity of the target compound to be noticed does not completely coincide with each other. I do.

(2)第二レベル評価工程30では、各作動中の工場から提供されたプロセスのリスクデータに基づいて、潜在汚染度の高い業種を選別する。
本実施形態において、第二レベル評価工程30における前記潜在汚染度の高い業種別のフィルタリングは、国外の工業と比較した国内の相関する業種、及び国内の汚染公告地の事業統計ソース別データを参照する以外、さらに国内の管制地域の業種別データも収集され、国内で作動する潜在汚染度の高い業種別の分布状況が判明する。
(2) In the second level evaluation step 30, based on the risk data of the process provided from each operating factory, an industry with a high potential pollution level is selected.
In the present embodiment, the industry-specific filtering in the second level evaluation step 30 refers to the business statistics source data of the domestic correlated industry compared to the foreign industry and the domestic pollution notification place. In addition, data by industry in the controlled areas of the country is also collected, and the distribution status by industry with high potential pollution operating in the country is revealed.

ちなみに、国外塩素を含む有機溶剤規制地域の関係統計データは、以下の表2中のKueper et al.(2003)により塩素を含む有機溶剤により汚染されやすい地下環境での工業及び工業プロセスが整理されている。機械及び金属製造加工関連のものが半分以上占め、よって業種別のフィルタリングの参照にする。
下の表3及び表4は、これらの塩素を含む有機溶剤の主要な用途及び前記用途で使用する化合物が占める比率を示す。例えば、パークロロエチレン(PCE)はドライクリーニング用途で56%を占め、トリクロロエチレン(TCE)は脱脂用途で44%を占め、これは地下環境の調査過程での発見率が一般的に高いことを意味する。
国内外の工場の汚染形態の比較は以下の表4に示す。塩素を含む有機溶剤が使用されて土壌及び地下水が汚染された管制工場が属する業種には多くの相似する箇所があり、優先的に注目すべき業種に含まれる。
By the way, related statistical data of organic solvent regulated areas containing foreign chlorine are shown in Kueper et al. (2003) organizes industrial and industrial processes in underground environments that are easily contaminated by organic solvents containing chlorine. More than half of machinery and metal manufacturing processing related, so it is a reference for filtering by industry.
Tables 3 and 4 below show the main uses of these organic solvents containing chlorine and the ratios of the compounds used in these uses. For example, perchlorethylene (PCE) accounts for 56% of dry cleaning applications, and trichlorethylene (TCE) accounts for 44% of degreasing applications, which means that the discovery rate in the underground environment survey process is generally high. To do.
Table 4 below shows a comparison of pollution patterns at domestic and overseas factories. There are many similarities in the industries to which control factories in which soil and groundwater are contaminated by using organic solvents containing chlorine, and they are included in industries that should be noted with priority.

このほか、業種別登記データは工場の業種の多様性の状況を含み、よって業種別のフィードバックを初期成果の評価結果に加えるように修正するか検討し(早期の作動状況、現在の実際の作動状況、塩素を含む化合物のプロセスの作動形態の訪問審査及び検査)、適合する主要なプロセスの業種を判断した後に討論を行う。
本発明では、現場検証を行って工場の相関するデータ(例えば汚染の特徴の概念形態の分析評価)を獲得することで工場プロセスが示す業種を取得する。この方法によりフィードバックされるデータの品質が確保される。
In addition, the industry-specific registration data includes the status of the diversity of factories in the factory, so whether to correct the industry-specific feedback to be added to the evaluation results of the initial results (early operating status, current actual operating status). Situations, on-site review and inspection of the process mode of operation of compounds containing chlorine), and discuss after determining the main process industries to be adapted.
In the present invention, the business type indicated by the factory process is acquired by performing on-site verification and acquiring correlated data of the factory (for example, analysis and evaluation of the conceptual form of the feature of contamination). The quality of data fed back is ensured by this method.

(3)第三レベル評価工程40では、前記注目すべき目標化合物の申告量及び前記業種別の規模データに基づいてレベル式クロスフィルターを行い、予備調査リストを作成し、優先順位をつけて作動中の工場の環境サイトアセスメントを行う根拠とする。
本実施形態において、第三レベル評価工程40では、規模データは、潜在汚染度の高い業種別の総分類、単一の潜在汚染度の高い業種別の申告総量のソート、注目すべき目標化合物の申告総分類、注目すべき目標化合物の申告総合ソート、解放量の有無、湿式プロセス、設置年代、検査処分データ等の評価要素に基づいてクロスソートを行う。
(3) In the third level evaluation process 40, a level cross-filter is performed based on the reported amount of the target compound to be noted and the scale data for each industry, a preliminary survey list is created, and priorities are assigned. The basis for environmental site assessment of the factory inside.
In the present embodiment, in the third level evaluation step 40, the scale data includes the total classification for each type of industry with a high degree of potential pollution, the sorting of the total amount of reports for each type of industry with a high degree of potential pollution, and the target compound to be noted. Cross-sorting is performed based on the evaluation factors such as the total classification of declarations, the comprehensive classification of target compounds to be noticed, the presence or absence of release, wet process, installation age, and inspection disposal data.

(4)第四レベル評価工程50では、予備調査リストに基づいて初期評価結果及び地域経験データが提供され、調査リストが作成され、優先順位をつけて作動中の工場の調査及び検証作業を行う根拠とする。本実施形態において、第四レベル評価工程50では、初期評価結果は地域についての厳正な初期評価結果に基づいて、工場の作動履歴、製造工程の特性、及び地域の水文学的条件を考慮する。初期評価は前記地域での後続の多重な調査技術の応用を更に考慮し、潜在汚染度の高い土壌及び地下水のサンプリングに適した位置の分布が決定され、調査及び検証の成果を総合的に考慮し、同時に潜在汚染度の高い業種別の工場の調査の比重を考慮し、調査リストを作成する。   (4) In the fourth level evaluation process 50, the initial evaluation results and the local experience data are provided based on the preliminary survey list, the survey list is created, and the working factory is investigated and verified with priorities. As a basis. In the present embodiment, in the fourth level evaluation step 50, the initial evaluation result takes into account the factory operation history, the characteristics of the manufacturing process, and the hydrological conditions of the region based on the strict initial evaluation result for the region. The initial assessment further considers the application of subsequent multiple survey techniques in the region, the distribution of locations suitable for sampling of highly contaminated soil and groundwater is determined, and the results of the survey and verification are comprehensively considered At the same time, considering the specific gravity of the survey of factories by industry with high potential pollution level, a survey list is created.

地域経験データは地域の環境保護機関の長年の調査経験が結合され、管轄区域の変遷及び汚染情報の伝聞がフィルタリングデータを提供するための情報源となり、アンケート方式によりその地域の経験が工場の潜在的な汚染の研究分析を補助するために提供され、さらには管轄区域の潜在汚染度の高い工場リスト(例えば、工業地区に設置されるモニタリング井戸周辺の潜在汚染度が高い場合は工場が汚染源として疑われる)が指定調査リストとして提供される。この機構により、その地域の住民がその地方の環境保護局に陳情を申し入れると、調査リストに加えられてフィルタリングが行われ、地下の作動中の工場の検査が行われる。これにより、地域経験データとして参照され、調査リストの順序の調整が行われる。   Regional experience data is combined with long-term research experience of local environmental protection agencies, and the transition of the jurisdiction and hearing of pollution information become the source of information for providing filtering data. A list of high-potential factories in the jurisdiction (for example, if the potential pollution around a monitoring well in an industrial area is high, the factory is the source of pollution. Suspicious) is provided as a designated survey list. This mechanism allows local residents to file a petition with the local Environmental Protection Agency, where they are added to the survey list, filtered, and inspected underground factories. Thereby, it is referred as regional experience data, and the order of the survey list is adjusted.

地域経験データはプロセスの作動データ及びロケーション感度データを更に含み、プロセスの作動データは工場の設立時期が早い程優先度が高くなり、産業別のプロセスの作動特性及び湿式プロセスの施設より重要度も高くなり、同時に国内外の塩素を含む有機溶剤のプロセスの作動過程で土や水の汚染問題が発生しやすい地域の比較、関連する調査及び罰金データが収集され、フィルタリングされた工場が同じような潜在汚染度区域を含むか否か評価され、且つ調査の優先度に応じてリストの順序が調整される。前記ロケーション感度データは水源保護区の近隣、灌漑農地の近隣、普通の地下水、人口密度が高い地区が優先的にフィルタリングされ、調査の優先度に応じてリストの順序が調整される。   Regional experience data further includes process operational data and location sensitivity data.Process operational data has a higher priority as the factory is established earlier, and is more important than industrial process operational characteristics and wet process facilities. At the same time, comparisons of areas prone to soil and water contamination problems during the operation of organic solvent processes containing chlorine at home and abroad, related surveys and fine data collected and filtered factories are similar It is evaluated whether or not it includes a potential pollution area, and the order of the list is adjusted according to the priority of the investigation. The location sensitivity data is preferentially filtered in the vicinity of the water source protected area, the vicinity of the irrigated farmland, the normal groundwater, and the area with high population density, and the order of the list is adjusted according to the priority of the survey.

(5)補正評価工程60では、調査リストに基づいて現場検証が行われ、実際の調査結果に基づいて第一レベル評価工程20における注目すべき目標化合物の重要性、第二レベル評価工程30における潜在汚染度の高い業種別の重要性、第三レベル評価工程40における環境サイトアセスメントの重要性、及び第四レベル評価工程50における調査リストの順序の調整が行われる。
本実施形態において、補正評価工程60では、実際の調査結果は、汚染物の項目の申告総量、製品のライフサイクルの考慮、業種別の作動中の工場プロセスの申告総量の規模及び比率の考慮、プロセスの作動特性及び設置年代を含む。
(5) In the correction evaluation step 60, on-site verification is performed based on the survey list, the importance of the target compound to be noted in the first level evaluation step 20 based on the actual survey results, and in the second level evaluation step 30 The importance of each type of industry having a high degree of potential pollution, the importance of environmental site assessment in the third level evaluation process 40, and the order of the survey list in the fourth level evaluation process 50 are adjusted.
In the present embodiment, in the correction evaluation step 60, the actual survey results include the reported total amount of pollutant items, consideration of the product life cycle, consideration of the size and ratio of the reported total amount of factory processes in operation by industry, Includes process operating characteristics and installation age.

(6)評価ソートリスト70では、補正評価工程60で修正された第一レベル評価工程20乃至第四レベル評価工程50の重要性に基づいて、新たにソートされた現場検証の調査リストが獲得される。   (6) In the evaluation sort list 70, based on the importance of the first level evaluation step 20 to the fourth level evaluation step 50 corrected in the correction evaluation step 60, a newly sorted field verification investigation list is acquired. The

よって、本発明に係る作動中の工場プロセスの動的なスクリーニング方法のスクリーニング機構は、前期の調査成果を参照してフィルタリング要素のレベル及び重要性の調整が行われ、経験から教訓(Lesson Leamed)が得られる。毎期の不断の結果の調整により、毎期の獲得率が6割以上に維持され、これは毎期のフィルタリング機構にとって、調整及び修正が重要であることを示す。不断の調整により、潜在的な特徴も不断で再配列され、この現象は従来のリストのソート(前期の工場リストの順位に続く)の現場検証の認知を覆すものである。   Therefore, the screening mechanism of the dynamic screening method of the factory process in operation according to the present invention is adjusted for the level and importance of filtering elements with reference to the previous research results, and lessons learned from experience (Lesson Leamed) Is obtained. By adjusting the constant results of each period, the acquisition rate of each period is maintained at 60% or more, which indicates that adjustment and correction are important for the filtering mechanism of each period. With constant adjustment, potential features are also re-arranged constantly, a phenomenon that overturns the perception of field verification of traditional list sorting (following the previous factory list rank).

潜在汚染度の再ソートは毎期のフィルタリング戦略に異なる課題を見出すものであり、例えば、第1期では2つのフィルタリングの主軸(管制基準を超えるモニタリング井戸の周囲の工場、申告総量が多いもの)を先に示威的に調査する。第2期では申告総量の多いものを単一のフィルタリングの主軸とし、業種別の潜在性の考慮に含み、第2期は第1期よりも工場リストの変動率が高くなる(74.1%に達する)。
第3期では潜在性の高い業種、目標化合物等のソートの調整を行い、潜在汚染度の高い工場のフィルタリングを強化し、第3期は第2期よりも工場リストの変動が大きくなる(22.2%に達する)。第4期では第3期の機構を引き続いて行い、第4期は第3期よりも工場リストの変動幅が大きくなる(47.9%に達する)。
第5期は「過度の作動履歴」の特徴を加え、例えば、(1)早期に申告されたが現在は不使用、(2)代替溶剤の使用等の特徴の重要性を加えて地下環境が汚染されているかどうか再度検証し、第5期は第4期によりも工場リストの変動が大きくならず(10.2%に達する)、フィルタリング機構が徐々に緩くなっていることを示す。
Re-sorting of potential pollution finds different challenges in the filtering strategy for each period. For example, in the first period, two filtering main axes (factories around monitoring wells exceeding control standards, those with a large total amount of declarations) Investigate first. In the second period, the one with a large total amount of declarations is the main axis of filtering, and it is included in the consideration of the potential of each industry. Reach).
In the third period, sorting of high-potential industries, target compounds, etc. will be adjusted, and filtering of factories with high potential pollution will be strengthened. In the third period, the list of factories will be larger than in the second period (22 Reach 2%). In the 4th period, the mechanism of the 3rd period will be continued, and in the 4th period, the fluctuation range of the factory list will be larger than that in the 3rd period (47.9% will be reached).
In the 5th period, the characteristics of “excessive operation history” were added. For example, (1) Declared early, but now it is not used. It is verified again whether it is contaminated, and the 5th period shows that the fluctuation of the factory list is not larger than that in the 4th period (reach 10.2%), indicating that the filtering mechanism is gradually becoming loose.

結論として、本発明に係る作動中の工場プロセスの動的なスクリーニング方法は、産業体系における作動中の工場の実際の状況に則した系統的な評価結果を作成することで、作動中の工場プロセスのリスクレベルの評価の実効性を確実に高め、作動中の工場に対する後続の調査及び管制をより効率的に行う。   In conclusion, the dynamic screening method of the working factory process according to the present invention creates a systematic evaluation result in accordance with the actual situation of the working factory in the industrial system, so that the working factory process To ensure the effectiveness of the risk level assessment of the plant and to make the subsequent inspection and control of the operating plant more efficient.

上述の実施形態は本発明の技術思想及び特徴を説明するためのものにすぎず、当該技術分野を熟知する者に本発明の内容を理解させると共にこれをもって実施させることを目的とし、本発明の特許請求の範囲を限定するものではない。従って、本発明の精神を逸脱せずに行う各種の同様の効果をもつ改良又は変更は、後述の請求項に含まれるものとする。   The above-described embodiments are merely for explaining the technical idea and features of the present invention, and are intended to allow those skilled in the art to understand the contents of the present invention and to carry out the same with the present invention. It is not intended to limit the scope of the claims. Accordingly, improvements or modifications having various similar effects made without departing from the spirit of the present invention shall be included in the following claims.

10 準備工程
20 第一レベル評価工程
30 第二レベル評価工程
40 第三レベル評価工程
50 第四レベル評価工程
60 補正評価工程
70 ソートされたリストの評価工程
10 Preparatory Step 20 First Level Evaluation Step 30 Second Level Evaluation Step 40 Third Level Evaluation Step 50 Fourth Level Evaluation Step 60 Correction Evaluation Step 70 Sorted List Evaluation Step

Claims (11)

各業種別の各作動中の工場のプロセスのリスクデータが提供される準備工程と、
各作動中の工場から提供されたプロセスのリスクデータに基づいて、高リスクの注目すべき目標化合物を選別する第一レベル評価工程と、
各作動中の工場から提供されたプロセスのリスクデータに基づいて、潜在汚染度の高い業種を選別する第二レベル評価工程と、
前記注目すべき目標化合物の申告量及び前記業種別の規模データに基づいてレベル式クロスフィルターを行い、予備調査リストを作成し、優先順位をつけて作動中の工場の環境サイトアセスメントを行う根拠とする第三レベル評価工程と、
前記予備調査リストに基づいて初期評価結果及び地域経験データが提供され、調査リストが作成され、優先順位をつけて作動中の工場の調査及び検証作業を行う根拠とする第四レベル評価工程と、
前記調査リストに基づいて現場検証が行われ、実際の調査結果に基づいて前記第一レベル評価工程における前記注目すべき目標化合物の重要性、前記第二レベル評価工程における前記潜在汚染度の高い業種別の重要性、前記第三レベル評価工程における前記環境サイトアセスメントの重要性、及び前記第四レベル評価工程における前記調査リストの順序の調整が行われる補正評価工程と、
前記補正評価工程で修正された前記第一レベル評価工程乃至第四レベル評価工程の重要性に基づいて、新たにソートされた現場検証の調査リストが獲得されるソートされたリストの評価工程と、を含むことを特徴とする、
作動中の工場プロセスの動的なスクリーニング方法。
A preparatory process that provides risk data for each active factory process by industry,
A first-level evaluation process that selects high-risk notable target compounds based on process risk data provided by each operating factory;
A second level assessment process that selects industries with high potential contamination levels based on process risk data provided by each operating factory;
Based on the reported amount of the target compound to be noted and the scale data for each industry, a level cross-filter is created, a preliminary survey list is created, and the environmental site assessment of the factory in operation with priorities is performed. A third level evaluation process to
Based on the preliminary survey list, initial evaluation results and regional experience data are provided, a survey list is created, and a fourth level evaluation process is used as a basis for conducting a survey and verification work of the operating factory with priority.
On-site verification is performed based on the survey list, the importance of the target compound to be noted in the first level evaluation process based on the actual survey results, and the industry with a high degree of potential contamination in the second level evaluation process Another importance, the importance of the environmental site assessment in the third level evaluation process, and the correction evaluation process in which the order of the survey list in the fourth level evaluation process is adjusted, and
Based on the importance of the first level evaluation process to the fourth level evaluation process modified in the correction evaluation process, a sorted list evaluation process in which a newly sorted field verification survey list is obtained; Including,
A dynamic screening method for operating factory processes.
前記準備工程には、各業種別の各作動中の工場の登録申請の基本データを更に含むことを特徴とする、請求項1に記載の作動中の工場プロセスの動的なスクリーニング方法。   The dynamic screening method for an operating factory process according to claim 1, wherein the preparation step further includes basic data for registration of each operating factory for each industry. 前記第一レベル評価工程における前記注目すべき目標化合物のフィルタリングは複数の評価要素に基づいて選定され、前記評価要素は垂直移動特性と、地下水の汚染の危険性と、発がんリスクの高さと、汚染地の出現率と、前期計画の獲得率と、前記注目すべき目標化合物の反応生成経路とを含むことを特徴とする、請求項1に記載の作動中の工場プロセスの動的なスクリーニング方法。   Filtering of the target compound to be noted in the first level evaluation step is selected based on a plurality of evaluation factors, which include vertical movement characteristics, groundwater contamination risk, carcinogenic risk, and contamination. The method for dynamically screening an operating factory process according to claim 1, comprising: an appearance rate of ground, an acquisition rate of a previous plan, and a reaction generation path of the target compound to be noted. 前記第二レベル評価工程における前記潜在汚染度の高い業種別のフィルタリングは、国外の工業と比較した国内の相関する業種、及び国内の汚染公告地の事業統計ソース別データを参照する以外、さらに国内の管制地域の業種別データも収集され、国内で作動する潜在汚染度の高い業種別の分布状況が判明することを特徴とする、請求項1に記載の作動中の工場プロセスの動的なスクリーニング方法。   In the second level evaluation process, filtering by industry with a high degree of potential pollution is performed in addition to referring to domestic statistical data related to industries related to foreign industries, and domestic statistical sites of pollutant announcements. The dynamic screening of an operating factory process according to claim 1, characterized in that data by industry in the controlled areas is also collected and the distribution situation by industry with high potential pollution level operating in the country is revealed. Method. 前記第二レベル評価工程において、前記業種別登記データは工場の業種の多様性の状況を含み、よって業種別のフィードバックを初期成果の評価結果に加えるように修正するか検討し、適合する潜在汚染度の高い業種別に討論を行う判断をすることを特徴とする、請求項4に記載の作動中の工場プロセスの動的なスクリーニング方法。   In the second level evaluation process, the registration data for each industry includes the status of the diversity of the industry of the factory, so whether to correct the industry-specific feedback to be added to the evaluation result of the initial outcome, The dynamic screening method for an operating factory process according to claim 4, wherein a decision is made to make a discussion for each type of industry. 前記第三レベル評価工程において、前記規模データは、潜在汚染度の高い業種別の総分類、単一の潜在汚染度の高い業種別の申告総量のソート、注目すべき目標化合物の申告総分類、注目すべき目標化合物の申告総合ソート、解放量の有無、湿式プロセス、設置年代、検査処分データ等の評価要素に基づいてクロスソートが行われることを特徴とする、請求項1に記載の作動中の工場プロセスの動的なスクリーニング方法。   In the third level evaluation step, the scale data includes a total classification for each type of industry having a high degree of potential contamination, a sorting of the total amount of declarations for each type of industry having a single high degree of potential contamination, a declaration total classification for target compounds to be noted, The in-operation according to claim 1, characterized in that the cross-sorting is performed based on evaluation factors such as a report comprehensive sort of target compounds to be noted, presence / absence of release amount, wet process, installation age, and inspection disposal data. Dynamic screening method for factory processes. 前記第四レベル評価工程において、前記初期評価結果は地域についての厳正な初期評価結果に基づいて、工場の作動履歴、製造工程の特性、及び地域の水文学的条件を考慮することを特徴とする、請求項1に記載の作動中の工場プロセスの動的なスクリーニング方法。   In the fourth level evaluation process, the initial evaluation result is based on a strict initial evaluation result for the region, and takes into account the operation history of the factory, characteristics of the manufacturing process, and the hydrological conditions of the region. A method of dynamically screening an operating factory process according to claim 1. 前記第四レベル評価工程において、前記初期評価は前記地域での後続の多重な調査技術の応用を更に考慮し、潜在汚染度の高い土壌及び地下水のサンプリングに適した位置の分布が決定され、調査及び検証の成果を総合的に考慮し、同時に潜在汚染度の高い業種別の工場の調査の比重を考慮し、前記調査リストを作成することを特徴とする、請求項7に記載の作動中の工場プロセスの動的なスクリーニング方法。   In the fourth level evaluation step, the initial evaluation further considers the application of subsequent multiple survey techniques in the area, and the distribution of locations suitable for sampling of soil and groundwater with high potential contamination is determined, and the survey The operation list according to claim 7, wherein the survey list is created by comprehensively considering the results of the verification and at the same time considering the specific gravity of the survey of factories by industry with a high potential pollution level. Dynamic screening method for factory process. 前記第四レベル評価工程において、前記地域経験データは地域の環境保護機関の長年の調査経験が結合され、管轄区域の変遷及び汚染情報の伝聞がフィルタリングデータを提供するための情報源となり、アンケート方式によりその地域の経験が工場の潜在的な汚染の研究分析を補助するために提供され、さらには管轄区域の潜在汚染度の高い工場リストが指定調査リストとして提供されることを特徴とする、請求項1に記載の作動中の工場プロセスの動的なスクリーニング方法。   In the fourth level evaluation process, the local experience data is combined with long-term research experience of local environmental protection organizations, and the transition of the jurisdiction and hearing of pollution information become an information source for providing filtering data, Provides local experience to assist in research and analysis of potential contamination of factories, and also provides a list of high-potential factories in the jurisdiction as a designated survey list. Item 2. A method for dynamically screening an operating factory process according to Item 1. 前記第四レベル評価工程において、前記地域経験データはプロセスの作動データ及びロケーション感度データを更に含み、前記プロセスの作動データは工場の設立時期が早い程優先度が高くなり、且つ前記産業別のプロセスの作動特性及び湿式プロセスの施設より重要度も高くなり、同時に国内外の塩素を含む有機溶剤のプロセスの作動過程で土や水の汚染問題が発生しやすい地域の比較、関連する調査及び罰金データが収集され、フィルタリングされた工場が同じような潜在汚染度区域を含むか否か評価され、且つ調査の優先度に応じてリストの順序が調整され、前記ロケーション感度データは水源保護区の近隣、灌漑農地の近隣、普通の地下水、人口密度が高い地区が優先的にフィルタリングされ、調査の優先度に応じてリストの順序が調整されることを特徴とする、請求項9に記載の作動中の工場プロセスの動的なスクリーニング方法。   In the fourth level evaluation step, the regional experience data further includes process operation data and location sensitivity data, and the process operation data has a higher priority as the factory is established earlier, and the industry-specific process. Compared to areas where soil and water contamination problems are likely to occur during the operation process of organic solvents containing chlorine at home and abroad, and related surveys and fine data. Are collected and filtered to assess whether the factory contains similar potential pollution areas, and the order of the list is adjusted according to the priority of the survey, the location sensitivity data is Areas near irrigated farmland, normal groundwater, and densely populated areas are preferentially filtered, and the list is ordered according to survey priority. Characterized in that it is an integer, the dynamic screening method factory processes during operation of claim 9. 前記補正評価工程において、前記実際の調査結果は、汚染物の項目の申告総量、製品のライフサイクルの考慮、業種別の作動中の工場プロセスの申告総量の規模及び比率の考慮、プロセスの作動特性及び設置年代を含むことを特徴とする、請求項1に記載の作動中の工場プロセスの動的なスクリーニング方法。   In the correction evaluation step, the actual survey results include the total declaration amount of the pollutant item, the consideration of the product life cycle, the consideration of the size and ratio of the total declaration amount of the factory process in operation by industry, and the operating characteristics of the process. The method for dynamically screening an operating factory process according to claim 1, characterized in that:
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