Industrial Land Research Articles

Herbicides and pesticides synergistically interact at low concentrations in complex mixtures

Assessing a complex mixture of pesticides at the impacted sites has been challenging for risk assessors for 50 years. The default assumption is that at low concentrations, pesticides interact additively with one another; thus, the risk posed by each component of a complex mixture could be simply added up. The EPA interaction-based hazard index (HIInteraction) modifies this assumption using a binary weight-of-evidence (BINWOE). However, data gaps often preclude HIInteraction use at most sites. This study evaluated these assumptions using the BINWOE to estimate the hazard index (HI) of select pesticide mixtures. The lack of in vivo binary interaction data led us to use a cell line, SH-SY5Y, to obtain the data necessary for the BINWOE approach. In the risk assessment, we considered the most active exposure scenario inhaling a mixture of volatile pesticides from contaminated soil and groundwater. The potential interactions between pesticides in 15 binary mixtures were investigated using the MTT assay in SH-SY5Y cells. Our findings showed that 60% of the binary mixtures elicited synergism (in at least one concentration), 27% displayed antagonism, and 13% showed additive effects in SH-SY5Y cells. Combining human safety data with in vitro interaction data indicated that adults and toddlers were at the highest risk when considering industrial and commercial land use, respectively, compared to other subpopulations. Incorporating interaction data into the risk assessment either increased the risk by up to 20% or decreased the risk by 2%, depending on the mixture. Our results demonstrate the predominant synergistic interactions, even at low concentrations, altered risk characterization at the complex operating site. Most concerning, organochlorine pesticides with the same mechanism of action did not follow dose additivity when evaluated by SH-SY5Y cell lines. Based on our observations, we caution that current HI methods based on additivity assumptions may underestimate the risk of organochlorine mixtures.

Cluster pattern analysis of environmental stressors and quantifying their impact on all-cause mortality in Belgium

Environmental stress represents an important burden on health and leads to a considerable number of diseases, hospitalisations, and excess mortality. Our study encompasses a representative sample size drawn from the Belgian population in 2016 (n = 11.26 million, with a focus on n = 11.15 million individuals). The analysis is conducted at the geographical level of statistical sectors, comprising a total of n = 19,794 sectors, with a subset of n = 18,681 sectors considered in the investigation. We integrated multiple parameters at the finest spatial level and constructed three categories of environmental stress through clustering: air pollution, noise stress and stress related to specific land-use types. We observed identifiable patterns in the spatial distribution of stressors within each cluster category. We assessed the relationship between age-standardized all-cause mortality rates (ASMR) and environmental stressors. Our research found that especially very high air pollution values in areas where traffic is the dominant local component of air pollution (ASMR + 14,8%, 95% CI: 10,4 – 19,4%) and presence of industrial land (ASMR + 14,7%, 95% CI: 9,4 – 20,2%) in the neighbourhood are associated with an increased ASMR. Cumulative exposure to multiple sources of unfavourable environmental stress (simultaneously high air pollution, high noise, presence of industrial land or proximity of primary/secondary roads and lack of green space) is associated with an increase in ASMR (ASMR + 26,9%, 95% CI: 17,1 – 36,5%).

Floods and Land Use Land Cover Changes in the Kalu River Basin: A Call to Action


 
 
 Floods are one of the most common natural disasters worldwide. Apart from rainfall, Land Use Land Cover (LULC) changes too are a main contributory factor for floods. This study attempted to understand the link between floods and LULC changes in Kalu river basin, which is the second largest river basin and an area that experiences recurrent floods in Sri Lanka. We studied peak water levels, number of flood events, changes in land use types and impacts in rapidly urbanizing two districts, Rathnapura (upper basin) and Kalutara (lower basin) during 2001-2020. The satellite images (LANDSAT) were obtained for 2001, 2009, 2015 and 2020 and land use classification was done using ArcGIS and Remote Sensing Tools. Main land use types and their transformations were investigated and ground-truthing was carried out. Accordingly, the main types of land uses identified were Natural Vegetation and forests (NV), Settlements (ST- housing and industrial lands), Cultivated Lands (CL), Water Bodies (WB) and Bare Lands (BL). The results indicated that the most drastic change was found in the natural areas (NV) and they have diminished while the lands with anthropogenic impacts (ST, CL and BL) have increased across years. The NV had occupied the highest land area in 2001 (42.4%) and has reduced by 14.2% by 2020. The ST and CL have increased by 8.6 % and 5.2% respectively. The monthly rainfall of Rathnapura and Kalutara (Source: Department of Meteorology, Sri Lanka) has increased with time, which is a main reason for the increasing peak water levels of these areas (Source: Department of Irrigation, Sri Lanka). However, a significant correlation also exists between the change of the settlement area with the peak river water levels in the lower basin (p=0.03, R2=99%; regression analysis). Rathnapura has experienced 3 major floods (floods above the high water alert level) from 2001-2020, while 16 major floods have occurred in Kalutara. During the major flood in 2017, the number of child deaths in Rathnapura was 14 while in Kalutara it was 24. Accordingly, the LULC changes of the whole basin along with rainfall seem to influence on the severity of floods in Kalutara more, as it is located in the lowest elevation level. When natural lands are transformed to anthropogenic- impacted areas with disturbances to the water cycle, increased impervious surfaces, reduced water storage capacities and loss of natural drainage, the flood risk tends to increase. Proactive approaches including proper land use planning and rainwater storage are urgently needed as the climate change too would trigger more floods. Thus, the flood mitigatory actions, especially, in the lower river basin should be a priority to ensure resilience and sustainability.
 Keywords: Kalu river basin, Land Use Land Cover (LULC) changes, Floods
 
 

Retain or remove? Decision-making of rural industrial park redevelopment in Nanhai District, China

Introduction: In both of China and other industrializing countries, improving the efficiency of degraded industrial land use will help control urban sprawl brought about by rapid urbanization. The redevelopment of industrial parks in the countryside is becoming a starting point for phasing out high-polluting industries and an important source of land supply for high-end and green industries. The objective of this paper is to identify how the local state of China determines the necessity for the demolition of rural industrial parks (RIPs) and how this process reflects the underlying decision-making mechanisms.Methodology: This paper carries out descriptive spatial analysis by combining the economic and social development cross-sectional data in 2019 and extracts data from the Baidu Map to calculate the traffic network density. Cluster analysis is also used to group the RIPs according to their data characteristics. In order to provide an in-depth discussion of the cases, the authors also overlay the results of the spatial and cluster analyses.Results: The spatial distribution of RIPs is closely related to their location and transportation conditions. Failure of the market has resulted in large tracts of advantageous land being taken up by inefficient industrial parks. Cluster analysis and overlay analysis have evaluated the difficulty of redevelopment and divided the industrial parks into three clusters: retained RIPs, medium-term removed RIPs, and near-term-removed RIPs. The authors put forward that different strategies should be adopted for the future renovation of medium-term-removed and near-term-removed RIPs.Discussion: This paper argues that proper categorization is the beginning of feasible RIP redevelopment. Local governments should resist the temptation of short-term land transfer revenues to achieve long-term growth. The significant differences in concerns between the grassroots and the higher levels of government also require that the effects of bottom-up influence and top-down intervention should be balanced.

Industrial and agricultural land uses affected the water quality and shaped the bacterial communities in the inflow rivers of Taihu Lake

Industrial and agricultural land uses affected the water quality and shaped the bacterial communities in the inflow rivers of Taihu Lake

Vertical expansion in the making: Planning against deindustrialization by promoting “Industry’s Going Upstairs” in Shenzhen

In recent years, industrial metropolises in China have experienced a surge in proactive planning initiatives aimed at developing high-rise industrial structures, commonly known as “Industry’s Going Upstairs (IGU).” This study argues that the IGU represents a distinct form of urban verticality that is neither motivated by capitalist speculation nor sustainability prompts but rather by local states’ intervention to ensure economic resilience and enhance innovation capabilities. This study presents the case of Shenzhen to demonstrate how the adoption of the IGU initiative is catalyzed by concerns over manufacturing sectors’ out-migration and the effects of volatile US-China relations on the city’s competitiveness. In light of these circumstances, Shenzhen has embraced the ambitious IGU initiative as a practical approach to reverse the trend of deindustrialization while sidestepping the lengthy process of industrial land redevelopment. The paper concludes by emphasizing the need for a comprehensive understanding of political-economic factors that drive urban vertical expansion and their potential consequences.

The spatiotemporal distribution prediction method for distributed photovoltaic installed capacity based on power supply measurement data

Abstract With the anticipated expansion of distributed power grid integration in the foreseeable future, the consideration of distributed power’s impact on power balance becomes paramount in distribution network planning. In this research, we presented a novel approach for predicting the spatial and temporal distribution of distribution network planning areas, with a specific focus on estimating the installed capacity of distributed photovoltaic (PV) systems. Our method leveraged the saturated capacity of distributed PV, requiring minimal data inputs. By establishing a quantitative model that elucidated the relationship between installed distributed PV capacity and land area, we generated PV installed capacity evolution curves for various types of land. Subsequently, we derived the development coefficient of distributed PV installed capacity. By combining this coefficient with the current status of installed distributed PV capacity in the target area’s land parcels, we forecasted the spatial and temporal distribution of future distributed PV capacity within the region. The proposed prediction model held significant implications for the planning of new distribution networks. Additionally, this study predicted the installed distributed PV capacity for distinct land use types, including residential, commercial, and industrial land, using a regional power supply unit as a representative example. We employed the installed PV capacity unit to forecast the electricity loss rate and energy saving rate within the planning area. By validating the model and method through exemplary test results, we demonstrated the model’s feasibility and accuracy. Furthermore, our model effectively predicted the impact of distributed PV integration on overall load forecasting, thereby offering the power grid more precise load forecasting capabilities.

The decoupling relationship between land use efficiency and carbon emissions in China: An analysis using the Socio-Ecological Systems (SES) framework

The Socio-Ecological Systems (SES) framework provides a comprehensive approach to studying the decoupling of land use efficiency (LUE) and carbon emissions (CEs), thereby supporting the transition towards low-carbon land use from a holistic social-ecological perspective. In this study, we utilized the SES framework to examine the decoupling patterns of LUE and CEs across different land use categories (agricultural, industrial, commercial, and ecological land) in 285 Chinese cities from 2007 to 2019. We found that: (1) The decoupling relationships between LUE and CEs varied across different land categories, influenced by input/output values as well as social, economic, and regulatory factors. (2) During the 12th Five-Year Plan period (2011–2015), significant decoupling between agricultural, industrial, commercial, and ecological LUEs and CEs was observed in 170 (59%), 119 (42%), 117 (41%), and 139 (49%) cities, respectively. (3) From a long-term perspective (2010–2019), all types of LUE and CEs that were initially absent in geographic agglomeration showed improvement and achieved decoupling. (4) The initial set of low-carbon pilot cities that aimed to reduce CEs showed the most success, but this advantage faded with time. Our research delves into the interactions of actors with land resources and their implications for CEs within the SES framework. Through exploring the decoupling of LUE and CEs, we provide valuable insights for actors to make strategic adjustments, enhancing societal resilience and promoting harmonious development between humans and nature in the social-ecological system.

Rethinking industrial land-use in American rust cities towards sustainability based on a block-level model

Urban land is a fundamental but scarce resource that carries intensive human socio-economic activities. The demographic decline and housing vacancy issues that emerged with de-industrialization have raised concerns regarding the sustainable utilization of urban land resources, particularly in the American Rust Belt region. In this context, a comprehensive analysis of industrial land use can offer valuable insights to support the sustainable planning of shrinking cities. However, existing urban land research exhibits insufficient resolution at the sectoral scale and impedes the evaluation of industrial land use efficiency within the urban context. To address this gap, we established an integrated land use estimation framework for economic sectors based on multi-source data, which enables the assessment of land use efficiency at a finer sectoral scale. The method was then applied to the city of Detroit, Cleveland, and Pittsburgh. The results demonstrate that the current industrial land mix in the three cities is dominated by service-providing industries, but the land usage by goods-producing sectors in these cities presents a relatively high level of efficiency. The Moran's I value indicates a clustered tendency for the main economic sectors. The land use area results reveal that Other Services occupies the most land area in Detroit (2.29 million m2) and Cleveland (2.04 million m2). While in Pittsburgh, Professional Scientific and Technical Services (1.44 million m2) is the largest. In terms of the economic output, Management of Companies and Enterprises is the most efficient sector in Detroit (20.28 thousand $/m2) and Cleveland (29.43 thousand $/m2), while Pittsburgh's Public Administration (11.73 thousand $/m2) is the most efficient. As many other cities in the world are about to enter the era of de-industrialization or low growth, the outcomes can also serve as a reference to guide their sustainable revitalization in line with the SDGs.

Photovoltaics in agricultural landscapes: “Industrial land use” or a “real compromise” between renewable energy and biodiversity? Perspectives of German nature conservation associations

BackgroundOne common renewable energy source for substituting fossil sources is photovoltaic (PV) systems. However, installing PV systems in agricultural areas can lead to competition with other land uses. These projects, therefore, often encounter problems with social acceptance in affected communities. Especially from the perspective of nature conservation targets, conflicts can arise. These potential differences are still under-researched but represent important knowledge for the societally broadly accepted design of such facilities and their contribution to energy transformation. In this paper, we investigate the perspectives of nature conservationists on PV in the region of Brandenburg, Germany. We comparatively analyse attitudes towards ground-mounted photovoltaics (GM-PV) and agrophotovoltaics (APV). APV combines energy supply and agricultural production on the same land and could thus be a possible solution for mitigating land-use conflicts.ResultsWe investigated the degree of local acceptability and positive and negative influencing factors through a qualitative text analysis of ten interviews with local representatives and position papers by Nature Conservation Associations. Our findings show a growing consensus around basic assumptions of the need for renewable energies, the prioritised support for PV systems on rooftops over the installation on agricultural land (GM-PV and APV), and the necessity for PV systems to be compatible with nature conservation objectives. Regarding specific site decisions on agricultural land, we find diverging attitudes when comparing the content of position papers and the responses of interviewees. The interviewees advocate taking into account local interests and specific regional conditions, the effects of PV systems on the local environment, and the need for distributional justice. Large-scale plants are locally less accepted than smaller ones and there is a more open attitude towards the expansion of APV than of GM-PV on agricultural land. However, a range of concerns regarding consequences for landscape and biodiversity persists, and further research and clarification is required to address these issues.ConclusionsWe conclude that basic ecological standards and the demands of local stakeholders and interest groups should be taken into account when planning, implementing and reviewing PV projects in the future.

Improving the SNA: Alternative measures of output, input, income, and productivity

AbstractThe current System of National Accounts (SNA) Gross Domestic Product (GDP) concept does not measure the income generated by the production sector since it includes depreciation and excludes capital gains and losses on assets used in the production sector. The paper suggests an accounting framework that measures the income generated by the production sector of an economy and implements this measure using the Augmented Productivity Database (APDB) developed by Asian Productivity Organization and Keio University for China over the years 1970–2020. Real gross and real net income generated by the Chinese production sector are decomposed into explanatory factors including TFP growth using the framework suggested by Jorgenson and Diewert and Morrison. TFP growth is further decomposed into technical progress and inefficiency components using the nonparametric approach developed by Diewert and Fox. The APDB has estimates for the price and quantity of agricultural, industrial, commercial, and residential land used in China. The paper argues that changes in land use should be treated in the same manner as inventory change and added to the alternative output measures. It turns out that Jorgensonian user costs for land are frequently negative. The problems associated with negative user costs are discussed in the paper.

Spatial differentiation of soil nutrients and their ecological chemometrics based on geographic detector in National Agricultural Park of Tangchang, Southwest China.

In order to analyze the spatial variability of soil nutrients and their ecological chemometrics in Tangchang Town, National Agricultural Park, 20 influencing factors were selected: soil pH, Cd, Hg, As, Cu, Pb, Cr, Zn, Ni, Se, elevation, slope, aspect, land use type, distance from industrial land, distance from commercial land, distance from railway, distance from residential area, distance from highway and distance from river. The effects of various influencing factors on the spatial variability of total organic carbon (TOC), total nitrogen (N), total phosphorus (P), total potassium (K) and ecological stoichiometry were analyzed by means of geographic detector. The results showed that average contents of soil TOC, N, P and K in the study area are 10.24 g kg-1, 1.33 g kg-1, 1.14 g kg-1 and 23.60 g kg-1, respectively, and there were significant differences in the spatial distribution of soil nutrients and their eco-stoichiometry in the study area, and TOC, N, P, K, C/N, C/P, C/K, N/P, N/K and P/K has a significant correlation with each other and most correlation coefficients are above 0.5 or below -0.5. Factor detection showed that soil properties, distance from railway and distance from residential area had the most significant explanatory power to the spatial heterogeneity of soil nutrients and eco-stoichiometry. Interaction detection showed that the interaction between soil properties with other factors was the most important factor affecting the spatial differentiation of soil nutrients and their ecological chemometrics, and elevation, distance from railway and distance from residential area were also important factors. Risk detection showed that the differences of soil nutrients and their ecological stoichiometry were most significant in the subregions of soil properties (pH, Cd, Hg, As, Cu, Pb, Cr, Zn, Ni and Se).

Book Reviews

Alex Tsiukes reviews O’Brien, David J. (2021) Defining Public Goods: An Institutional Approach to Community-Building and Negotiating Inter-Community Conflict. Anqi Chen reviews Kresl, Peter K. (2021) The City and Quality of Life. Xingcan Cao reviews Isard, Walter. (2021) Location and Space-economy; a General Theory Relating to Industrial Location, Market Areas, Land Use, Trade, and Urban Structure.

Research on remote sensing ecological livability index based on Google Earth Engine: a case study from Urumqi-Changji-Shihezi urban cluster.

The U-Chang-Shi (Urumqi-Changji-Shihezi) urban cluster, located at the heart of Xinjiang, boasts abundant natural resources. Over the past two decades, rapid urbanization, industrialization, and climate change have significantly threatened the region's ecological livability. To comprehensively, scientifically, and objectively assess the ecological livability of this area, this study leverages the Google Earth Engine (GEE) platform and multi-source remote sensing data to develop a comprehensive evaluation metric: the Remote Sensing Ecological Livability Index (RSELI). This aims to examine the changes in the ecological livability of the U-Chang-Shi urban cluster from 2000 to 2020. The findings show that despite some annual improvements, the overall trend in ecological livability is declining, indicating that the swift pace of urbanization and industrialization has placed considerable pressure on the region's ecological environment. Land use changes, driven by urban expansion and the growth in agricultural and industrial lands, have progressively encroached upon existing green spaces and water bodies, further deteriorating the ecological environment. Additionally, the region's topographical features have influenced its ecological livability; large terrain fluctuations have made soil erosion and geological disasters common. Despite the central plains' vast rivers providing ample water resources, over exploitation and ill-conceived hydrological constructions have led to escalating water scarcity. The area near the Gurbantunggut Desert in the north, with its extremely fragile ecological environment, has long been unsuitable for habitation. This study provides a crucial scientific basis for the future development of the U-Chang-Shi urban cluster and hopes to offer theoretical support and practical guidance for the sustainable development and ecological improvement of the region.

Health risk analysis of heavy metal exposure bonded in PM2.5 at industrial area in Bandung Regency

Heavy metal contents in PM2.5 particulate dust poses potential risk to the health of human beings. This study aims to measure PM2.5 dust concentrations and characterize heavy metals bound in PM2.5 to estimate health risks in both children and adult groups. PM2.5 dust was measured in Bandung Regency in industrial land uses, located in the Dayeuhkolot sub-district. Measurement of PM2.5 concentrations using a Low Volume Air Sampler (LVAS) with PTFE filters. Sample was collected for 7 days x 24 hours. Heavy metals in PM2.5 dust were characterized using ED-XRF. Calculation of non-carcinogenic and carcinogenic health risks was only performed on metals classified as Hazardous Air Pollutants (HAPs). The average concentration of PM2.5 during the measurement period was 59,10±9,10 μg/m3, exceeding the daily ambient air quality standard based on PP No.22 of 2021 which is> 55μg/m3. The risk of non-carcinogenicity is expressed in Health Index (HI) values. The heavy metals considered in determining non-carcinogenic risk are As, Cd, Cr, Pb, Mn, Ni, Se, Fe, Zn, Si, and Sb as well as the crustal elements Si and Fe. Non-carcinogenic risk associated with exposure to heavy metals in PM2.5 showed HI<1 for both children and adults. This indicates that the exposure to heavy metals in PM2.5 around the Dayeuhkolot industrial area is at an acceptable risk level. HI value for heavy metal exposure for children was 0.34±0.17 and 0.42±0.28 for adults. In estimating the carcinogenic risk value, elements taken into account include As, Cd, Cr, Ni and Pb. Carcinogenic risk in both children and adults showed ECR>10-6 of 4.5×10-5 and 2.1×10-4, respectively. This indicates that there is an unsafe health risk that can potentially cause carcinogenic effects in the population around the Dayeuhkolot industrial area The results of this study can be used as a reference database for establishing policies related to air quality in Bandung Regency.

Research on the Evaluation Model of Ecological Restoration Benefits of Industrial Waste Land Based on DEA Algorithm

Abstract The escalating spread of industrial wastelands has spotlighted the need for effective ecological restoration. This paper introduces an evaluation system for assessing the environmental restoration benefits of such wastelands, integrating the entropy weight and optimal assignment method for index quantification. Enhancements to decision-making elements and the incorporation of the fuzzy comprehensive evaluation method have culminated in developing a D-FCE model-based ecological restoration benefit assessment model. An empirical analysis on selected sites revealed notable increases in soil organic carbon content post-restoration—ranging from 1.73% to 2.98% in ERL areas, 1.69% to 2.45% in GL areas, and 1.25% to 2.08% in AL areas—demonstrating significant carbon sequestration. Additionally, a 38% rise in ecological benefits was observed, translating to an economic boon of 8563.2 yuan/year. This study furnishes a scientific method for evaluating industrial wasteland restoration and underpins the formulation of pertinent policies.

Spatialtemporal evolution characteristics of ozone in China and its response to urbanization.

Based on the background of urbanization in China, we used the dynamic spatial panel Durbin model to study the driving mechanism of ozone pollution empirically. We also analyzed the spatial distribution of ozone driving factors using the GTWR. The results show that: i) The average annual increase of ozone concentration in ambient air in China from 2015 to 2019 was 1.68μg/m3, and 8.39μg/m3 elevated the year 2019 compared with 2015. ii) The Moran's I value of ozone in ambient air was 0.027 in 2015 and 0.209 in 2019, showing the spatial distribution characteristics of "east heavy and west light" and "south low and north high". iii) Per capita GDP industrial structure, population density, land expansion, and urbanization rate have significant spillover effects on ozone concentration, and the regional spillover effect is greater than the local effect. R&D intensity and education level have a significant negative impact on ozone concentration. iv) There is a decreasing trend in the inhibitory effect of educational attainment and R&D intensity on ozone concentration, and an increasing trend in the promotional effect of population urbanization rate, land expansion, and economic development on ozone concentration. Empirical results suggest a twofold policy meaning: i) to explore the causes behind the distribution of ozone from the new perspective of urbanization, and to further the atmospheric environmental protection system and ii) to eliminate the adverse impacts of ozone pollution on nature and harmonious social development.

Optimal utilization of low-efficiency industrial land in shrinking cities based on green infrastructure performance improvement: Take Mudanjiang as an example

Optimal utilization of low-efficiency industrial land in shrinking cities based on green infrastructure performance improvement: Take Mudanjiang as an example

JUSTIFICATION OF THE FEASIBILITY OF NORMALIZING THE LEVEL OF GREENING OF SANITARY AND PROTECTIVE ZONES OF OPERATING QUARRY ROCK DUMPS IN THE CONTEXT OF SUSTAINABLE DEVELOPMENT

To reduce the impact of polluted air on human health it is important to expand the areas of green spaces and create healthier conditions for the local population to live and reproduce biodiversity. Dumps of overburden the surface of which has reached intensive self-overgrowth with grass and tree-shrub vegetation and the industry of the adjacent land should be considered as fabricated objects with a high potential of gas-absorbing capacity of pollutants from the surface layer of atmospheric air. A comparison of the amount of emissions of pollutants which are directly during the dumping of overburden dumps with the ability of vegetation to adsorb them during the growing season revealed the following: rather high indicators of the absorption capacity for sulfur oxide and the ability to self-clean the surface layer of the air as well as an additional balance of regenerated oxygen due to green vegetation. Calculations of emissions of pollutants and greenhouse gases into the atmosphere from vehicles were made taking into account unloading operations from the dumping of mining mass into a dump and taking into account their formation during the combustion of fuel from internal combustion engines of special equipment according to specific indicators. The analysis of the cartographic material showed a sufficient level of greening of the sanitary and protective zone of the dumps in accordance with the territory planning recommendations. The possibility of self-cleaning of the surface air layer should be considered during the preparation of relevant environmental impact assessment reports of the planned economic activity and during the planning of dumping, the volumes of which are related to the gradual advancement of the work front in the quarry. This will make it possible to consider industrial lands with a high level of greening as one of the ways to increase the ESG rating of economic activity in terms of the impact of environmental risks on atmospheric air quality and its minimization due to a sufficient level of industrial lands greening.

Evaluasi Perubahan dan Kesesuaian Penggunaan Lahan Tahun 2019 Terhadap Rencana Tata Ruang Wilayah (RTRW) di Kabupaten Bekasi

The common pattern of land use in urban areas is agricultural land shrinkage due to conversions to built-up land. Similar things happened in the Bekasi Regency, quoted from LAPAN data (2017), there has been a decline in rice fields by 0.59%whichgoes hand in hand with the increase of industrial land by 0.15% per year. Several conversions in land use that happened will influence the overall spatial structure of the region. If this phenomenon happens continuously, there will be disproportionate changes for each land use classification. This applicative activity aims to find out land use conversions in 2014-2019 and evaluate the land use compatibility in 2019 based on RTRW in the Bekasi Regency. The activity began by ensuring spatial classification by referring to PERDA No.12 of 2011 concerning RTRW, to the Spot 6 image of Bekasi Regency in 2014. Then, on-screen digitization is carried out to the Spot 6 image of Bekasi Regency to obtain2014land use data in shapefile format. Furthermore, an accuracy test is done using a confusion matrix to determine the value of accuracy by comparing the result of Spot 6 classification with reference on google earth’s pro historical image. Other data used are RTRW data and 2019 land use data in the Bekasi Regency area. The data is analyzed using the overlay menu. The largest land conversions occurred in the agricultural to industrial land conversion type, accounting for 78.1 ha. For the land use compatibility in 2019 to the RTRW, Pebayuran District has the largest compatibility inland use classification, accounting for 7196.38 ha