scholarly journals PENYEDIAAN PERUMAHAN DAN INFRASTRUKTUR DASAR DI LINGKUNGAN PERMUKIMAN KUMUH PERKOTAAN (STUDI KASUS DI KOTA BANDUNG)

NALARs ◽  
2016 ◽  
Vol 15 (1) ◽  
pp. 13
Author(s):  
Veronica Kusumawardhani ◽  
Surjono Hadi Sutjahjo ◽  
Indarti Komala Dewi
Keyword(s):  
Solid Waste ◽  
Soil Quality ◽  
Quality Index ◽  
Organic Waste ◽  
Treatment Plant ◽  
Soil Quality Index ◽  
Grey Water ◽  
Black Water ◽  
Waste Bank ◽  
Basic Infrastructure

ABSTRAK. Bandung sebagai salah satu kota metropolitan yang berkembang di Indonesia tidak dapat menghindar dari masalah-masalah yang berkaitan dengan permukiman kumuh. Masalah permukiman kumuh biasanya dikarakteristikan dengan menurunnya kondisi lingkungan seperti masalah keterbatasan ketersediaan air tanah dan polusi. Berdasarkan fakta-fakta tersebut, penelitian ini bertujuan untuk mengkalkulasi kesenjangan sumber daya dalam hal kuantitas maupun kualitas air dan tanah, bagi masyarakat yang tinggal di daerah kumuh di Kota Bandung yang didasari pada standar pelayanan minimum dan standar kualitas lingkungan serta menentukan bentuk dari infrastruktur dasar seperti penyedia pengganti dari sumber daya alam air dan tanah yang paling tepat. Penelitian ini menetapkan tiga kelurahan yang mewakili tia tipologi kawasan kumuh yaitu, kumuh berat pada Kelurahan Tamansari, kumuh sedang pada Kelurahan Babakan Ciamis, dan kumuh ringan pada Kelurahan Cihargeulis.  Hasilnya menunjukkan bahwa kaitannya dengan kuantitas air pada ketiga kelurahan tersebut dipenuhi dari air tanah dan juga sumber PDAM. Hal ini mengingat bahwa ketersediaan tanah untuk perumahan pada ketiga kelurahan tersebut sudah mencukupi. Sementara bila dikaitkan dengan kualitas air pada ketiga kelurahan, nampaknya kualitas air dari PDAM memenuhi standar lingkungan namun kualitas air dari air tanah tidak memenuhi standar tersebut. Sehingga untuk kualitas tanah dengan mengacu pada Soil Quality Index dari BPS terlihat bahwa indeks kualitas tanah di Kelurahan Tamansari-lah yang paling rendah, dan di Kelurahan Cihargeulis-lah yang paling tinggi. Bentuk dari prioritas infrastruktur pada Kelurahan Tamansari untuk pengadaan air adalah melalui pipa dari PDAM atau pengolahan air permukaan tanah tingkat kelurahan, sementara untuk air buangan adalah MCK untuk “black water” dan instalasi pengolahan air buangan untuk “grey water”. Sementara itu untuk buangan padat adalah merupakan buangan bukan organik dan pengolahan kompos buangan organik serta dari buangan rumah berlantai banyak atau hunian vertikal. Bentuk dari  prioritas infrastruktur dari Kelurahan Babakan Ciamis untuk air adalah sama dengan Kelurahan Tamansari. Sementara itu pada Kelurahan Cihargeulis, prioritas infrastruktur untuk air adalah juga melalui pemipaan PDAM, dan untuk buangan air menggunakan instalasi pengolahan air buangan pada tingkat kota, untuk buangan padat adalah merupakan buangan bukan organik, pengolahan kompos buangan organik dan perumahan horizontal.  Kata Kunci: kumuh, sumber daya alam dan air, standar layanan minimum, standar lingkungan, insfrastruktur dasar permukiman  ABSTRACT. Bandung as one of the growing metropolitan in Indonesia did not escape from the problems of slums emerging. The problem of slums is characterized by such as a decrease in environmental conditions such as lack of raw water availability and pollution. Based oh those facts, this study aimed to calculate the resource gap in terms of quantity and quality of water and land, for people living in the slums in Bandung city based on minimum service standards and environment quality standards, and determining the form of basic infrastructure as a substitute provider of natural resources water and land that most appropriate. The study was conducted in three kelurahan which represent the three typologies of slums that are heavy is Kelurahan Tamansari, moderate is Kelurahan Babakan Ciamis, and light is Kelurahan Cihargeulis.   The results showed that in terms of quantity water in the three kelurahans are met from the ground water and piped water from PDAM.  As for the existing land for housing in the three kelurahans are sufficient. In terms of water quality in the three kelurahans is seen that the quality from PDAM have met the environment standards but the quality from ground water have not.  Then for soil quality with reference to Soil Quality Index of BPS was seen that the Land Quality Index in the Kelurahan Tamansari is the lowest, and Kelurahan Cihargeulis is the highest.  The shape of the priority infrastructure for Kelurahan Tamansari for water is piping from PDAM or local surface water treatment, for wastewater is MCK Communal for black water and local wastewater instalation treatment plant for grey water, for solid waste is anorganic waste bank and composting for organic waste, and multistorey housing.  The shape of the priority infrastructure for Kelurahan Babakan Ciamis for water is piping from PDAM, for wastewater is MCK Communal for black water and local wastewater instalation treatment plant for grey water, for solid waste is anorganic waste bank and composting for organic waste, and multistorey housing. The shape of the priority infrastructure for Kelurahan Cihargeulis for water is piping from PDAM, for wastewater is city level wastewater installation treatment, for solid waste is anorganic waste bank and composting for organic waste, landed housing Keywords: Slums, water and natural resources of land, minimum service standards, environmental standards, the basic infrastructure of the settlements

A new approach to elaborate a multifunctional soil quality index

2004 ◽  
Vol 4 (3) ◽  
pp. 201-204 ◽  
Author(s):  
Giancarlo Barbiroli ◽  
Giovanni Casalicchio ◽  
Andrea Raggi
Keyword(s):  
Soil Quality ◽  
Quality Index ◽  
Soil Quality Index ◽  
New Approach

scholarly journals Land Degradation Vulnerability Mapping in a Newly-Reclaimed Desert Oasis in a Hyper-Arid Agro-Ecosystem Using AHP and Geospatial Techniques

Agronomy ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 1426
Author(s):  
Ahmed S. Abuzaid ◽  
Mohamed A. E. AbdelRahman ◽  
Mohamed E. Fadl ◽  
Antonio Scopa
Keyword(s):  
Remote Sensing ◽  
Soil Quality ◽  
Land Degradation ◽  
Quality Index ◽  
Management Strategies ◽  
Remote Sensing Data ◽  
Western Desert ◽  
Soil Quality Index ◽  
Climate Conditions ◽  
Sensing Data

Modelling land degradation vulnerability (LDV) in the newly-reclaimed desert oases is a key factor for sustainable agricultural production. In the present work, a trial for usingremote sensing data, GIS tools, and Analytic Hierarchy Process (AHP) was conducted for modeling and evaluating LDV. The model was then applied within 144,566 ha in Farafra, an inland hyper-arid Western Desert Oases in Egypt. Data collected from climate conditions, geological maps, remote sensing imageries, field observations, and laboratory analyses were conducted and subjected to AHP to develop six indices. They included geology index (GI), topographic quality index (TQI), physical soil quality index (PSQI), chemical soil quality index (CSQI), wind erosion quality index (WEQI), and vegetation quality index (VQI). Weights derived from the AHP showed that the effective drivers of LDV in the studied area were as follows: CSQI (0.30) > PSQI (0.29) > VQI (0.17) > TQI (0.12) > GI (0.07) > WEQI (0.05). The LDV map indicated that nearly 85% of the total area was prone to moderate degradation risks, 11% was prone to high risks, while less than 1% was prone to low risks. The consistency ratio (CR) for all studied parameters and indices were less than 0.1, demonstrating the high accuracy of the AHP. The results of the cross-validation demonstrated that the performance of ordinary kriging models (spherical, exponential, and Gaussian) was suitable and reliable for predicting and mapping soil properties. Integrated use of remote sensing data, GIS, and AHP would provide an effective methodology for predicting LDV in desert oases, by which proper management strategies could be adopted to achieve sustainable food security.

scholarly journals Determining the impacts of deforestation and corn cultivation on soil quality in tropical acidic red soils using a soil quality index

2021 ◽  
Vol 125 ◽  
pp. 107580
Author(s):  
Wuping Huang ◽  
Mingming Zong ◽  
Zexin Fan ◽  
Yuan Feng ◽  
Shiyu Li ◽  
...  
Keyword(s):  
Soil Quality ◽  
Quality Index ◽  
Soil Quality Index ◽  
Red Soils

Trace Metal Availability and Soil Quality Index Relationships under Different Land Uses

2015 ◽  
Vol 79 (6) ◽  
pp. 1629-1637 ◽  
Author(s):  
Vladimir Ivezić ◽  
Bal Ram Singh ◽  
Vlatka Gvozdić ◽  
Zdenko Lončarić
Keyword(s):  
Trace Metal ◽  
Soil Quality ◽  
Quality Index ◽  
Metal Availability ◽  
Land Uses ◽  
Soil Quality Index

scholarly journals Comprehensive evaluation of soil quality in a desert steppe influenced by industrial activities in northern China

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Zhe Xu ◽  
Wenbao Mi ◽  
Nan Mi ◽  
Xingang Fan ◽  
Yao Zhou ◽  
...  
Keyword(s):  
Soil Quality ◽  
Quality Index ◽  
Northern Region ◽  
Main Element ◽  
Available Phosphorus ◽  
Desert Steppe ◽  
Geostatistical Model ◽  
Soil Quality Index ◽  
Industrial Activities ◽  
The Impact

AbstractDesert steppe soil security issues have been the focus of attention. Therefore, to understand the impact of industrial activities on the soil quality of desert grasslands, this experiment investigated the Gaoshawo Industrial Concentration Zone in Yanchi County. Based on the distance and direction from the industrial park, sample plots were established at intervals of 1–2 km. A total of 82 surface soil samples (0–20 cm) representing different pollution sources were collected. The samples were analysed for pH, total nitrogen, total phosphorus, available phosphorus, available potassium, organic matter, copper (Cu), cadmium (Cd), chromium (Cr), lead (Pb), and zinc (Zn). The desert steppe soil quality was analysed based on the integrated fertility index (IFI) and the Nemerow pollution index (PN), followed by the calculation of the comprehensive soil quality index (SQI), which considers the most suitable soil quality indicators through a geostatistical model. The results showed that the IFI was 0.393, indicating that the soil fertility was relatively poor. Excluding the available potassium, the nugget coefficients of the fertility indicators were less than 25% and showed strong spatial autocorrelation. The average values of Cu, Cd, Cr, Pb and Zn were 21.64 ± 3.26, 0.18 ± 0.02, 44.99 ± 21.23, 87.18 ± 25.84, and 86.63 ± 24.98 mg·kg−1, respectively; the nugget coefficients of Cr, Pb and Zn were 30.79–47.35%. Pb was the main element causing heavy metal pollution in the study area. Higher PN values were concentrated north of the highway in the study area, resulting in lower soil quality in the northern region and a trend of decreasing soil quality from south to north. The results of this research showed that the average SQI was 0.351 and the soil quality was extremely low. Thus, industrial activities and transportation activities in the Gaoshawo Industrial Zone significantly impact the desert steppe soil quality index.

scholarly journals Assessing Soil Quality for Sustainable Cropland Management Based on Factor Analysis and Fuzzy Sets: A Case Study in the Lhasa River Valley, Tibetan Plateau

2018 ◽  
Vol 10 (10) ◽  
pp. 3477 ◽  
Author(s):  
Fuqiang Dai ◽  
Zhiqiang Lv ◽  
Gangcai Liu
Keyword(s):  
Land Use ◽  
Tibetan Plateau ◽  
Soil Quality ◽  
Quality Index ◽  
Soil Types ◽  
The Tibetan Plateau ◽  
Soil Quality Index ◽  
Total N ◽  
Organic C ◽  
Land Use Types

Ecologically fragile cropland soils and intensive agricultural production are characteristic of the valley area of the Tibetan Plateau. A systematic assessment of soil quality is necessary and important for improving sustainable cropland management in this area. This study aims to establish a minimum data set (MDS) for soil quality assessment and generate an integrated soil quality index for sustainable cropland management in the Tibetan Plateau. Soil samples were collected from the 0–20 cm depths of agricultural land in the middle and lower reaches of the Lhasa River. These samples were analyzed by routine laboratory methods. Significant differences were identified via statistical test between different soil types and land use types for each soil property. Principal component analysis was used to define a MDS of indicators that determine soil quality. Consequently, effective porosity, pH, total organic C, total N, available P, and catalase were identified as the final MDS. The soil quality index was obtained by the fuzzy-set membership function and the linear weighted additive method. The soil quality index differed significantly between the soil types and land use types. The soil quality can be ranked based on their indices in the following order: 1. Grain land with meadow soils, 2. Grain land with steppe soils, 3. Greenhouse vegetable land with fluvo-aquic soils, 4. Grain land with fluvo-aquic soils. The soils with higher soil quality indices exhibited better soil structure, higher nutrient contents, and superior resistance to water and nutrient loss. While the intensive tillage practices associated with vegetable production could reduce the values for effective porosity, pH and catalase, the application of appropriate fertilizers increased the values for total organic C, total N and available P. Therefore, the MDS method is an effective and useful tool to identify the key soil properties for assessing soil quality, and provides guidance on adaptive cropland management to a variety of soil types and land use types.

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