SOSIALISASI DAN PENDAMPINGAN PENCEGAHAN KERUSAKAN LINGKUNGAN DI KECAMATAN SUNGAI PINANG, SAMARINDA

ABSTRAKKerusakan lingkungan hidup Kota Samarinda menjadi perhatian khusus bagi pemerintah dan dinas terkait, terutama Dinas Lingkungan Hidup (DLH) Kota Samarinda. Permasalahan yang sering terjadi pada musim hujan adalah banjir dan tanah longsor. Masyarakat kurang informasi tentang penyebab, upaya pencegahan dan perlindungan diri dari bencana. Tujuan kegiatan pengabdian masyarakat ini adalah melakukan sosialisasi dan pendampingan pencegahan kerusakan lingkungan di Kecamatan Sungai Pinang, Samarinda. Metode yang digunakan adalah pengarahan untuk memberi informasi daerah Kecamatan Sungai Pinang yang rawan bencana longsor dan banjir. Pelaksanaan diskusi dengan memaparkan laporan per kelurahan di Kecamatan Sungai Pinang. Permasalahan yang disampaikan setiap kelurahan menjadi bahan pertimbangan pihak DLH Kota Samarinda bersama pihak terkait untuk mengatasinya. Kegiatan ini bermitra dengan Dosen Prodi D3 Kesehatan Lingkungan, Universitas Muhammadiyah Kalimantan Timur. Hasil kegiatan yaitu Kelurahan Mugirejo rawan longsor karena daerah bertebing, padat pemukiman rumah dan banjir saat musim hujan, masyarakat belum memahami kondisi lahan yang cocok untuk membangun rumah. Kelurahan Sungai Pinang Dalam, masyarakat maupun pengusaha melakukan pembangunan kurang memperhatikan kondisi lahan. Kelurahan Bandara rawan banjir saat musim hujan karena gorong-gorong buntu penuh sampah, sedimen dan tertutup, begitu juga dengan Kelurahan Bandara dan Gunung lingai. Perlu adanya koordinasi di tingkat RT, Kelurahan, Kecamatan sampai ke Dinas terkait untuk mensosialisasikan lahan kritis, rawan longsor, pengelolaan sampah dan drainase bersih. Kata kunci: kerusakan lingkungan; longsor; banjir; pengelolaan sampah. ABSTRACTEnvironmental degradation in Samarinda is a special concern for the government and related agencies, especially Department of Environment Samarinda City. Problems that often occur in the rainy season are floods and landslides. The community lacks information of causes and prevention and self protection efforts from disasters. The purpose of this community service activity is to carry out socialization and assistance to prevent environmental degradation in Sungai Pinang District, Samarinda. Methode used is directives to provide information on areas of Sungai Pinang District which are prone to landslides and floods. Implementation of the discussion by presenting reports per Village in Sungai Pinang District. The problems presented by each Village are considered by Department of Environment Samarinda City together with related parties to solved the problems. This activity is partnership with a lecturer in Diploma Environmental Health, Universitas Muhammadiyah Kalimantan Timur. Result of the activity are Mugirejo Village is prone to landslides because the are is rocky, densely populated with houses and floods during the rainy season, people do not understand the conditions of land suitable for building houses. Sungai Pinang Dalam Village, the community and businessman ignore land condition. Bandara Village is prone flooding during the rainy season because the culverts are clogged with garbage, sediment and clogged, as same as with Bandara and Gunung lingai. There needs coordination between official in district, subdistrict and Government to socialize critical land, prone landslides, waste management and clean drainage. Keywords: environmental degradation; landslide; flood; waste management.

Comparison of fly ash with Lapindo mud as a land stabilizer for landfill in Pasuruan–Indonesia

The paper discusses the comparison of fly ash with Lapindo mud as a land stabilizer for a landfill in Pasuruan, Indonesia. Land for landfills has a low level of stability due to the condition of garbage that has accumulated and undergoes a process of decay. This land condition is less favorable to support the construction of the building above it if one day the location is used for construction. Therefore, it is necessary to stabilize the soil first. The purpose of this study was to determine the effect of adding a mixture of TPA soil with fly ash and Lapindo mud. The method used by sieve testing and compaction of the specimens for each treatment consisted of a mixture of TPA soil with fly ash and TPA soil with Lapindo mud, while the percentages of fly ash and Lapindo mud to the dry weight of the original soil were respectively 0 %, 10 %, 15 %, and 20 %. The results showed that stabilization of the landfill with fly ash reduced the silt content while stabilization with Lapindo mud increased the levels of silt in the landfill so that fly ash was better than Lapindo mud for stabilization of the landfill. The specific gravity values for both stabilization mixtures increased equally. Based on the results of the standard compaction test for the addition of a mixture of fly ash, the OMC value decreases and the greater the value of dmaxs indicates that fly ash is good for landfill stabilization, while the addition of a mixture of Lapindo mud increases the OMC the smaller the value of dmaxs. For the direct shear test of the two mixed soils, the value of the internal friction angle (Æ) increased. The percentage value of the optimum mixture of mixed soil+fly ash is 14 % with an internal shear angle (Æ) of 38°, while the stabilization of landfill with Lapindo mud obtained the optimum mixture percentage value of 11 % with an internal shear angle (Æ) of 31°

The carbon stock as indicator of peatland recovery after fire in Central Kalimantan

Peat swamp forest fire was the main cause of the huge carbon stock loss. Forest recovery after fire took a huge cost and long period of time. The aim of this research was to determine the carbon stock on various peat land condition and management intervention and utilize it as bio-indicator for degraded peat swamp forest recovery after fire. The data was collected from three location representing three sites: after 1997 fire (ex 1997), unburnt secondary forest and area that was severely burnt in 2005 but already re-planted. Measurement was carried out on the vegetation carbon stock namely seedlings, saplings, poles and trees. The carbon stock was determined using 5 sampling plots on secondary forest and 6 plots on other sites. Carbon counting was using allometric equation. The result showed that the carbon stock was affected by the various type and management intervention of the sites especially at the rehabilitation site. The carbon stock of ex-1997 and secondary forest was not significantly different on all stages of vegetation including the total number. The carbon stock on ex-1997 and secondary forest was 258, 95 Mg/Ha and 254,36 Mg/Ha, respectively. The condition showed that ex-1997 site had the ability to naturally recovered. The rate of recovery can be approached with carbon stock estimation as indicator for peatland recovery after fire. The indicator can be used on sites with no species diversity requirements as recovery factor such as protected or conservation areas. Keywords: natural, allometric, degradation, indicator

Mediterranean Landscape Re-Greening at the Expense of South American Agricultural Expansion

The stabling of livestock farming implies changes in both local ecosystems (regeneration of forest stands via reduced grazing) and those located thousands of kilometers away (deforestation to produce grain for feeding livestock). Despite their importance, these externalities are poorly known. Here we evaluated how the intensification and confinement of livestock in Spain has affected forest surface changes there and in South America, the largest provider of soybeans for animal feed to the European Union. For this purpose, we have used Spanish soybean import data from Brazil, Paraguay and Argentina and a land condition map of Spain. The area of secondary forest in Spain that has regenerated as a result of livestock stabling has been ~7000 kha for the decade 2000–2010. In the same period, 1220 kha of high value South American ecosystems (e.g., Chaco dry Forest, Amazonian rainforest or Cerrado) have been deforested. While these figures may offer a favorable interpretation of the current industrial livestock production, it is not possible to speak of compensation when comparing the destruction of well-structured ecosystems, such as primary South American forests, with the creation of secondary forest landscapes in Spain, which are also prone to wildfires. Our results highlight how evaluating land use change policies at a national or regional level is an incomplete exercise in our highly telecoupled and globalized world.

Evaluation of rice genotypes for growth, yield and yield components

Twelve rice genotypes were evaluated under irrigated lowland and upland rainfed conditions in a randomized complete block design with three replications at Khumaltar, Lalitpur, Nepal in 2019. Data on plant height, panicle length, effective tillers per plant, fertile grain number per panicle and grain yield were taken. The variation was observed for plant height, panicle length, effective tillers per plant, fertile grain number per panicle among the evaluated rice genotypes. The rice genotype NR 11375-B-B-21 produced the highest grain yield (3974.75 kg/ha) followed by NR 11374-B-B-23 (3615.26 kg/ha) and NR 11145-B-B-B-6 (3597.56 kg/ha) under irrigated low land condition. Similarly, the rice genotypes, NR 11375-B-B-21 produced the highest grain yield (3837.15 kg/ha) followed by NR 11321-B-B-7-3 (3588.71 kg/ha) and NR 11305-B-B-1-3 (3292.36 kg/ha) under upland rainfed condition. The combined analysis showed that rice genotype NR 11375-B-B-21 produced the highest grain yield (3905.95 kg/ha) followed by NR 11374-B-B-23 (3494.63 kg/ha), and NR 11321-B-B-7-3 (3409.89 kg/ha) respectively. Thus, after evaluation of yield, two genotypes namely NR 11375-B-B-21, NR 11374-B-B-23, were selected as outstanding genotypes, which can be used as potential breeding materials for upland and low land environments of mid hills of Nepal.

Is ground cover a useful indicator of grazing land condition?

Remotely sensed ground cover data play an important role in Australian rangelands research development and extension, reflecting broader global trends in the use of remotely sensed data. We tested the relationship between remotely sensed ground cover data and field-based assessments of grazing land condition in the largest quantitative analysis of its type to date. We collated land condition data from 2282 sites evaluated between 2004 and 2018 in the Burdekin and Fitzroy regions of Queensland. Condition was defined using the Grazing Land Management land condition framework that ranks grazing land condition on a four point ordinal scale based on dimensions of vegetation composition, ground cover level and erosion severity. Nine separate ground cover derived indices were then calculated for each site. We found that all indices significantly correlated with grazing land condition on corresponding sites. Highest correlations occurred with indices that benchmarked ground cover at the site against regional ground cover assessed over several years. These findings provide some validation for the general use of ground cover data as an indicator of rangeland health/productivity. We also constructed univariate land condition models with a subset of these indices. Our models predicted land condition significantly better than random assignment though only moderately well; no model correctly predicted land condition class on >40% of sites. While the best models predicted condition correctly at >60% of A and D condition sites, condition at sites in B and C condition sites was poorly predicted. Several factors limit how well ground cover levels predict land condition. The main challenge is modelling a multidimensional value (grazing land condition) with a unidimensional ground cover measurement. We suggest that better land condition models require a range of predictors to address this multidimensionality but cover indices can make a substantial contribution in this context.

Effects of Planting Time and Spacing on the Growth and Yield of Carrot Under Dry Land Condition at Bina, Mymensingh

An experiment was conducted at the Horticulture Farm of the Bangladesh Institute of Nuclear Agriculture (BINA), Mymensingh, Bangladesh during the period from November, 2018 to April, 2019 to study the effects of planting time and spacing on the growth and yield of carrots under dry land condition at BINA, Mymensingh. Five different planting times viz. November 10, November 20, November 30, December 10 and December 20 and four different spacing’s of 25× 20 cm, 20× 20 cm, 15× 15 cm and 10× 10 cm were used . This experiment was laid out in randomized complete block design with three replications. Planting time showed significant effects on the growth and yield of carrot in respect of plant height, number of leaves, fresh and dry weights of leaves and roots, length ad diameter of roots, gross and marketable yields of carrot. The highest marketable yields (39.70 t/ha) was obtained from November 20 planting, whereas the lowest yields (25.02 t/ha) from December 20 planting. Plant spacing also significantly influenced on all the mentioned parameters. The highest marketable yields (34.95 t/ha) was observed from the closest spacing of 10× 10 cm. In respect of combined effect, November 20 planting with the closest spacing of 10× 10 cm produced significantly the highest marketable (42.29 t/ha) yields of carrot. Res. Agric., Livest. Fish.7(3): 373-382, December 2020

Problems and areas to improve a land monitoring system in Ukraine

Relevance of the research. A scientific and theoretical analysis of the legislation in the field of monitoring of land use and protection was carried out. The problem of information imperfection on the quantitative and qualitative state of land resources, which is the basis of land monitoring, was identified. The problem of land monitoring is the imperfection of the monitoring system itself, namely the collection of information on the land state, the spread of degradation processes by various entities of monitoring. The current Regulations on land monitoring were considered and it is proposed to provide for the expansion of the types of analytical work, to adapt the European standards in the selection, transportation and storage of soil samples, to impose mandatory quality control on all works. According to the current legislation of Ukraine, the main task of monitoring is to monitor the dynamics of the processes taking place in the field of land management. Monitoring data are used in making decisions on construction, establishing permitted types of land use, which help prevent land degradation. The updated monitoring data enable public administration bodies to make appropriate demands to land users to eliminate the violations in the field of land use and protection, as well as to bring to justice those responsible for these violations. To ensure the effective functioning of the unified monitoring system, it is necessary to solve a number of organizational, technical and other problems. The main disadvantages of this system are the obsolescence of technical, methodological and information equipment of the monitoring system centers used during observations; lack of a single observation network; inconsistency of separate information technologies used by different entities of monitoring; inconsistency of normative-technical and normative-legal provision with modern requirements. These problems can be solved by creating a new network of observations, but it requires a large amount of funding. The Concepts of the State Target Program for the development of land relations in Ukraine and the Concepts of the State Program for Environmental Monitoring were considered, which provide for the improvement of the land monitoring by maximizing the existing potential and gradual improvement of organizational, legal, methodological and technical support of the monitoring system, taking into account current information needs and the recommendations of the UN Economic Commission for Europe. A necessary requirement for the effective counteraction to violations of land legislation and non-compliance with the norms of rational land use is the improvement of the regulatory framework for land monitoring. It is necessary to clearly specify the following: the purpose and objectives of monitoring as well as the methods of its implementation; main stages and steps of the land monitoring procedure; powers of the implementation entities of this procedure; basic criteria and standards for evaluating the state of land resources and crisis detection. It is also necessary to develop and legislate the procedure for Ukraine's participation in international monitoring studies on land conditions, etc. Currently in Ukraine there is no single methodology for conducting observations, due to the lack of monitoring networks, as well as a modern information system on the state of natural resources, in particular - land. According to scientists, the monitoring requirements are currently met only by agrochemical inspection of agricultural land, however, it is not monitoring: certification does not give a complete picture of land condition; it is not carried out on permanent plots and by a very limited list of indicators and focuses only on the evaluation of individual characteristics, without identifying numerous other physical, chemical and biological indicators. Conclusions. According to the current legislation, the land monitoring system is improved by defining and developing standards and regulations in the field of land use and protection, including protection and reproduction of soil fertility. Improving the land monitoring procedure in Ukraine requires the development and implementation of a set of mechanisms for coordinating the interaction and coordination of all monitoring entities using a single system of methods and technologies in planning, organizing and conducting observations and joint activities, which will facilitate the rapid response of local executive bodies and governments to the occurrence or threat of emergencies and proper control over their development and elimination of consequences. The main areas of developing the land monitoring system include: improving organizational and legal support of monitoring; establishing a single integrated monitoring system; optimizing land monitoring methods, determining and developing standards and regulations in the field of land use and protection; ensuring the integration of information resources; strengthening the coordination of the activities of monitoring entities and data management within the state system of land monitoring in Ukraine; participating in international monitoring studies on land condition and harmonization of national standards with the international ones in order to integrate the national land monitoring system in the international systems.

Comparison of antecedent precipitation based rainfall-runoff models

The Soil Conservation Service Curve Number (SCS-CN) method is one of the popular methods for calculating storm depth from a rainfall event. The previous research identified antecedent rainfall as a key element that controls the non-linear behaviour of the model. The original version indirectly uses five days antecedent rainfall to identify the land condition as dry, normal or wet. This leads to a sudden jump once the land condition changes. To obviate this, the present work intends to improve the performance of antecedent rainfall-based SCS-CN models. Two forms of SCS-CN model (M1 and M2), two recently developed P-P5 based models (M3 and M4), and an alternate approach of considering P5 in the SCS-CN model (M5 and M6), as proposed here, were investigated. Based on the evaluation of several error metrics, the new proposed model M6 has performed better than other models. The performance of this model is evaluated using rainfall-runoff events of 114 watersheds located in the USA. The median value of Nash Sutcliffe Efficiency was found as 0.78 for the M6 model followed by M5 (0.75), M3 (0.73), M4 (0.72), M2 (0.63) and M1 (0.61) model.